This study aimed to investigate the recorded cancer frequency in children and adolescents in Isfahan Province, Iran.

As one of the main reasons for death among children and adolescents is reported as cancer with different prevalence worldwide, therefore, reporting the occurrence of cancers in this population is crucial.

Methods: Information from the years between 2013 to 2015 related to the Surveillance, Epidemiology, and End Results; (SEER) was collected from the Isfahan Cancer Registry. The cancer sites studied were defined according to the International Classification of Diseases and recorded by related topography codes.

Results: Among all 30,465 registered cancers, there were 582 cases (2%) of cancer, including 57% of children and 43% of adolescents. The mean ± SD age of patients was 11.5 ± 5.9 years (Min; 1, Max 19). The top four ranked cancers were (n=264; 45%) comprised of; 1) hematopoietic and reticuloendothelial system (n= 122), 2) secondary and unspecified malignant neoplasm of lymph nodes (n=56), 3) malignant neoplasm of the brain (n=43) 4), thyroid gland (n=43). Death-reported data was associated with 32% of the total population studied. The neoplasm was reported in 174 cases, which was associated with 95% death.

Conclusion: This frequency source of children and adolescents cancers could be used for health strategy. The observed variations in the frequency of different cancers require continuous monitoring and investigation. Therefore, plan of health-system should focus based on greater efforts toward advanced evidence-based drug therapy in Isfahan, Iran.

Material and Methods: The adsorption was performed with group B erythrocytes and leukocytes using the usual heated citrated anti-B plasma at 4°C and 37°C. A mixed agglutination reaction revealed group B antigens on leukocytes and erythrocytes.

Results: The highest adsorption of antibodies from usual plasma on erythrocytes was observed at 4°C at physiological conditions. Weaker adsorption was determined at pH 8.0 compared to pH 6.0 (the decrease of agglutination strength from 3+ to 2+ and 1+ accordingly).

The adsorption of polyclonal antibodies on erythrocytes at 37°C was the highest at pH 6.0 and 8.0 compared to physiological conditions (the decrease of agglutination strength from 3+ to 1+). In contrast, adsorption at 4°C appeared to be stronger at pH 6.0.

The adsorption of IgG antibodies on erythrocytes at 37°C was higher at pH 8.0.

Complete adsorption of IgG antibodies was observed on group B erythrocytes and leukocytes at 37°C and 4°C.

Conclusions: Adsorption of polyclonal group-specific antibodies on erythrocytes was the highest at 4°C, and adsorption of IgG antibodies was strong at 4°C and 37°C. Adsorption of leukocytes was revealed only with the use of the heated serum. IgG group-specific antibodies from the heated plasma demonstrated higher adsorbing abilities on leukocytes than IgM antibodies from plasma.

Objectives: The shortcomings of various conventional treatments have prompted urgent efforts to discover safe, natural compounds that may be useful in combating COVID-19. This study aims to review research that has investigated the potential of traditional phytotherapies used by different populations for the prevention and symptomatic treatment of COVID-19 infection.

Methods: This paper reviewed scientific studies published through searching on search engines such as PubMed, Scopus, Google Scholar, ScienceDirect and Elsevier from May until October 2023.

Results: The preventive and anti-COVID-19 attributes of Traditional Chinese Medicine, Ayurvedic formulations and African medicinal plants have been substantiated in research. In Nepal, recommendations endorse the utilisation of medicinal plants for herbal teas and homemade sanitizers. Zingiber officinale, Curcuma longa L. and Curcuma xanthorriza Roxb., along with Camellia sinensis are crucial Indonesian medicinal plants with potential for treating COVID-19. Z. officinale was predominantly chosen for relieving coughs and sore throats associated with COVID-19 in Saudi Arabia.

Discussion: The immunomodulatory properties of medicinal plants, which may prove useful in combating COVID-19, have been verified via elevation of the level of peripheral WBCs, IgM, IgG; inhibition of leukotrienes and prostaglandins, maintenance of the integrity of intestinal mucosal barrier and regulation of HMGB1. The antiviral effects of herbs, including the inhibition of viral DNA and RNA replication, down-regulation of oxidative stress, and the impediment of SARS-CoV-2 access to vascular endothelial cells, suggest their potential to facilitate earlier recovery from COVID-19 infection.

Conclusion: Advancing scientific research in phytotherapy promises the possibility of novel approaches for effectively managing future infectious diseases and pandemics.

Objectives: Despite advancements in biological therapies, significant clinical needs persist. This review aims to discuss novel treatments, guiding future guidelines and drug discoveries for rheumatoid arthritis.

Methods: This review follows the 2020 PRISMA statement, utilising PubMed and Google Scholar for literature search and emphasizing recent meta-analyses on the safety and efficacy of targeted immunobiological medications.

Results: Small molecule inhibitors, whether utilised independently or in conjunction with Methotrexate, have been shown to contribute to effective disease management and have the potential for better adherence to the American College of Rheumatology criteria. Tocilizumab therapy demonstrates a significant reduction in disease activity and improves rates of disease remission when combined with Methotrexate. Investigations of mesenchymal stromal cell therapies have had promising outcomes, improving both cartilage quality (as evaluated by Macroscopic Cartilage Repair Assessment) and joint tenderness and swelling in clinical joint counts. Intra-articular administration of tolerogenic dendritic cells has displayed a capacity to alleviate pain, as measured by Visual Analog Scale scores, and enhance the Disease Activity Score across 28 joints. Resveratrol capsules supplemented with allopathic therapy show potential in reducing TNF-α and interleukin-6 serum levels.

Conclusion: More investigations and their analysis will improve patient outcomes and reduce adverse effects and the costs involved in developing and obtaining immunobiological drugs. Moreover, assessing the safety and efficacy of anti-RA properties of the bioactive compounds could offer less toxic and more cost-effective natural treatment options.

Objective: This study aimed to describe the demography of renal cancer in the Kingdom of Bahrain, comparing it to other regions worldwide, emphasizing the most common type of renal cancer, clinical presentation, and immunohistochemistry.

Methodology: This retrospective chart review comprises 74 Bahraini patients diagnosed with Renal neoplasms (from 2009-2019) at the Bahrain Defense Force (BDF) Hospital in the Kingdom of Bahrain. Variables collected include demographics, clinical presentation from patients’ electronic records and pathology registry, surgical management, immunohistochemistry, pathological staging, grading, and prognosis. IBM SPSS Statistics, version 28.0.0.0, was used.

Results: About 71 patients’ characteristics were analyzed; 63 had malignant neoplasms, and 8 had benign neoplasms. The mean age of patients with a malignant renal neoplasm was 56.38 (± 12.643). The most common presentation was an incidental finding (60.6% of lesions being right-sided). Clear Cell RCC was the most common malignant lesion (77.1%), and the most common stage was stage 1 (69.8%). CD10 and vimentin were 100% sensitive for Clear Cell RCC. No significant association was found between diabetes and a higher Fuhrman grade (3 or 4) (P = 0.066).

Conclusion: From 2009 to 2019, renal neoplasms incidence increased. The most common malignant neoplasm was clear cell RCC and among benign tumours was oncocytoma. Immunohistochemistry plays an important role in subtype determination. One recommendation would be to assess the incidence of renal neoplasms in other hospitals in Bahrain to establish more epidemiological data and compare our results with other Gulf hospitals.

Objective: In this comprehensive review, we have elaborated on the pathophysiology, and various signaling pathways linked with Sarcopenia. Also, discussed the preclinical models and current interventional therapeutics to treat muscle wasting in older patients.

Conclusion: In a nutshell, a comprehensive description of the pathophysiology, mechanisms, animal models, and interventions of Sarcopenia. We also shed light on pharmacotherapeutics present in clinical trials which are being developed as potential therapeutic options for wasting diseases. Thus, this review could fill in the knowledge gaps regarding Sarcopenia-related muscle loss and muscle quality for both researchers and clinicians.

Objective: This study aimed to investigate the effect of CD73 targeting inhibition on liver fibrosis.

Methods: Intraperitoneal injection of CCl4 was used to induce liver fibrosis in mice models. Adenosine 5′-(α, β-methylene) diphosphate sodium salt (APCP) was used for CD73 blockade. The siRNA was used to induce CD73 knockdown in HSCs. LX2 and HSC-T6 were used to investigate the role of CD73 in HSCs activation in vitro.

Results: The results showed that APCP treatment could alleviate hepatic fibrosis. In fibrotic liver tissues, CD73 exhibited a positive correlation with markers of HSCs activation. Furthermore, APCP treatment and CD73 knockdown could inhibit HSCs (LX2 and HSC-T6) activation and proliferation. By using RNA sequencing of liver tissues from control, CCl4-mice, and APCP-treated mice, 851 genes that were significantly changed in CCl4 mice (vs. control) were reversed by APCP treatment. These genes were mainly enriched in cell division-associated biological processes. Moreover, we found that CD73 might be associated with autophagy in HSCs. In fibrotic liver tissues and HSCs, ATG5 and Beclin1 expression could be downregulated by CD73 knockdown and APCP treatment.

Conclusion: This study demonstrated the effects and mechanism of CD73 in HSCs activation and proliferation, which presents the therapeutical potential of CD73 blockage for liver fibrosis.

Introduction: CBP/β-catenin antagonists rebalance the equilibrium between CBP/β-catenin and p300/β-catenin dependent transcription and may be able to treat or prevent many diseases of aging via maintenance of somatic stem cell pool and regulating mitochondrial function and metabolism involved in differentiation and immune cell function. The safety, efficacy, and therapeutic potential of the specific CBP/β-catenin antagonists, ICG-001, and the second-generation compound, C82, the active agent derived from the pro-drug PRI-724, have been studied extensively in a variety of preclinical disease models and in the clinic for oncology and hepatic fibrosis. However, the lack of oral bioavailability has hampered the further development of PRI-724. Thus, Eisai recently proposed a third-generation, orally available, reportedly CBP/β-catenin antagonist E7386. Here, we have performed a comparative analysis of E7386 with the highly specific bona fide CBP/β-catenin antagonists, ICG-001 and C82.

Methods: We utilized a series of previously validated biochemical and transcriptional assays to investigate the selective targeting of the CBP/β-catenin interaction in conjunction with global transcriptional profiling to compare the three small molecules, ICG-001, C82, and E7386.

Result: Our data cast significant doubt that the mechanism of action of E7386 is via specific CBP/β-catenin antagonism.

Conclusion: It can thus be concluded that E7386 is not a specific CBP/β-catenin antagonist.

Objective: This paper aims to discuss the mechanism of actions, pathways, and metabolites triggered due to the development of neuropathy and nephropathy post-long-haul diabetes in patients. The therapeutic targets are also highlighted, proving to be a potential cure for such conditions.

Methods: Research works were searched from international and national databases with keywords like “diabetes,” “diabetic nephropathy,” “NADPH,” “oxidative stress,” “PKC,” “Molecular mechanisms,” “ cellular mechanisms,” “complications of diabetes,” and “factors.” The databases searched were PubMed, Scopus, Directory of open access journals, Semantic Scholar, Core, Europe PMC, EMBASE, Nutrition, FSTA- Food Science and Technology, Merck Index, Google Scholar, PubMed, Science Open, MedlinePlus, Indian citation index, World Wide Science, and Shodhganga.

Results: Pathways causing protein kinase C (PKC) activation, free radical injury, oxidative stress, and aggravating the conditions of neuropathy and nephropathy were discussed. In diabetic neuropathy and nephropathy, neurons and nephrons are affected to the extent that their normal physiology is disturbed, thus leading to further complications and conditions of loss of nerve sensation in diabetic neuropathy and kidney failure in diabetic nephropathy.

Current treatment options available for the management of diabetic neuropathy are anticonvulsants, antidepressants, and topical medications, including capsaicin. According to AAN guidelines, pregabalin is recommended as the first line of therapy, whereas other drugs currently used for treatment are gabapentin, venlafaxine, opioids, amitriptyline, and valproate.

Drug targets for treating diabetic neuropathy must suppress the activated polyol pathways, kinase C, hexosamine, and other pathways, which amplify neuroinflammation. Targeted therapy must focus on the reduction of oxidative stress and proinflammatory cytokines and suppression of neuroinflammation, NF-κB, AP-1, etc.

Conclusion: Potential drug targets must be considered for new research on the treatment of neuropathy and nephropathy conditions.]]> https://www.benthamscience.comarticle/138645Background: Amplification of inosine monophosphate dehydrogenase II, EC 1,1,1,205 (IMPDH2) has been reported in various cancers, which results in transformation and tumorigenicity. In our current work, we have explored the oncogenic properties and the underlying pathophysiology of IMPDH2 in hepatoblastoma (HB).

Methods: To investigate IMPDH2 expression in HB tissues and prognostic significance in HB patients, gene expression profiling interactive analysis (GEPIA) has been adopted. Immunohistochemistry has also helped to validate the protein expression of IMPDH2 in HB tissues. The effect of IMPDH2 overexpression or depletion on the proliferation of Hepatoblastoma cells in vitro has been evaluated by CCK8 assays and colony formation assays. Xenograft tumor growth of mice has been detected. Luciferase reporter assays have been conducted to determine the interaction of IMPDH2 and JunB, which was further asserted by pharmacological inhibition of JunB.

Results: IMPDH2 was highly expressed in HB tissues. Experimentally, the proliferation and colony formation of HuH6 cells were increased by IMPDH2 overexpression. Conversely, genetic inactivation of IMPDH2 impaired the proliferative efficiency and colony-forming rate of HepG2 cells. Besides, the luciferase reporter assay validated IMPDH2 overexpression to be associated with enhanced JunB transcriptional activity, while its activity was diminished in the case of IMPDH2 depletion. JunB inhibitor neutralized the IMPDH2-mediated increased phosphorylation of JunB.

Conclusion: Our findings, thus, suggest that IMPDH2 exhibits its oncogenic role in HB partially via JunB-dependent proliferation.

Objective: In this study, we investigated the effect of PB on Tau phosphorylation and cell apoptosis using Tau-expressing HEK293 cells (HEK293/Tau) as a cellular model.

Methods: The optimum concentration of PB to treat HEK293/Tau cells was determined using the CCK-8 assay. Additionally, the expression of FoxO1, Tau-5, p-Tau (T231, S262, and S404), ERK, p-ERK, GSK-3β, and p-GSK-3β was detected using western blotting to determine the effect of PB on Tau phosphorylation. The apoptosis rate was detected using flow cytometry, and the expression of Bax and Bcl-2 was detected using western blotting and verified using real-time quantitative polymerase chain reaction (RT-qPCR). Moreover, cells were transfected with FoxO1 siRNA to downregulate FoxO1 expression, and the expression of the above-mentioned proteins was detected to verify the effect of PB on Tau phosphorylation and cell apoptosis.

Results: After 24 h of PB treatment, the phosphorylation levels of Tau at S404, S262, and T231 sites decreased significantly, and the activities of GSK-3β and ERK were inhibited. PB also reduced cell apoptosis by reducing the expression of Bax and increasing the expression of Bcl-2. In addition, PB decreased Tau phosphorylation and cell apoptosis by upregulating FoxO1.

Conclusion: The natural compound PB exhibited a protective effect in the AD cell model by increasing FoxO1 expression and reducing Tau phosphorylation and cell apoptosis.

Background: GBM is the most malignant primary brain cancer with a poor prognosis. Previous studies have suggested that GBM vessels undergo dynamic remodeling modulated by tumor vasodilation and vasoconstriction instead of tumor angiogenesis.

Objective: Here, we have first investigated the expression and function of UTS2, a potent vasoconstrictor, in GBM.

Methods: The mRNA expression profiles and clinical information of GBM patients were obtained from the TCGA database. The clinical relevance of UTS2 was explored by the Mann-Whitney U test and Cox hazard regression survival test. We further explored the role of UTS2 in GBM cell proliferation, migration, and tumor immune microenvironment. Moreover, we established the in vivo mice model to validate its oncogenic effects on GBM progression.

Results: Although we did not find significant correlations between UTS2 expression and patients’ clinical characteristics, UTS2 was identified as a valid independent prognostic indicator according to multivariate survival analysis. Knockdown of UTS2 resulted in decreased GBM cell proliferation and migration. In addition, functional enrichment analysis implied UTS2 to be involved in the regulation of the immune microenvironment. In vivo studies showed that UTS2 knockdown suppressed GBM xenograft growth, highlighting the tumor-promoting effects of UTS2 on GBM.

Conclusion: Our study identified that UTS2 could predict the prognosis of GBM patients and provided evidence regarding its oncogenic effects both in vitro and in vivo.

On the other hand, the portal vein carries microbial-produced endogenous compounds from the colon to the liver, where they might disrupt liver function. Acetyl-aldehyde and butyrate are two of the many byproducts produced by the microbiota in the human gut in response to indigestible food. In addition, these two waste products alter liver function and play an important role in maintaining intestinal health in humans. This paper reviews the literature on the link between butyrate and acetyl-aldehyde production in the human gut and the organ's role in the development of liver disease. Butyrate, acetyl-aldehyde, and liver disease all play roles in the gut-liver axis.

Aim: The current study aimed to compare the effects of nutritional status on the clinical outcomes in moderate to severe COPD patients with bronchiectasis.

Objective: This study identifies the nutritional risk in hospitalized patients with moderate to severe COPD complicated by bronchiectasis phenotype during acute exacerbation screened using computer tomography (CT). Also, determines its correlation with disease progression.

Materials and Methods: NRS 2002 (Nutrition Risk Screening Evaluation Tool) was used to determine and evaluate the nutritional risk status in 182 hospitalized patients with moderate to severe COPD complicated by bronchiectasis phenotype during an acute exacerbation. Selected patients were divided into the nutritional risk (NR) group and the non-nutritional risk (NNR) group according to their nutritional status determined by NRS 2002. The body mass index (BMI), serum albumin (ALB), pre albumin (PAB), lymphocyte count (TLC), FEV1/FVC, FEV1% predicted, PEF% predicted, blood gas analysis, number of acute exacerbations in the past year, number of respiratory failure cases, number of anti-infection days, and length of hospitalization of the two groups were observed.

Results: The hospitalized patients in acute exacerbation of moderate to severe COPD complicated by bronchiectasis phenotype had a nutritional risk of 62.64%. BMI, ALB, PAB, TLC, FEV1% predicted, FEV1/FVC, PEF% predicted, blood gas analysis, number of acute exacerbations in the past year, number of respiratory failure cases, number of anti-infection days, and length of hospitalization were statistically significantly different between the NR group and NNR group (P<0.05).

Conclusion: Hospitalized patients with moderate to severe COPD complicated by bronchiectasis phenotype during acute exacerbation are often associated with nutritional risk. An increase in nutritional risk reduces the level of pulmonary function of the patient and elevates the risk for repeated acute exacerbations, which predispose the patient to respiratory failure, thereby increasing the length of hospitalization. Therefore, the nutritional risk status of COPD patients with bronchiectasis was closely related to the occurrence, development, and prognosis of the disease.

Materials and Methods: Using standard T2* relaxation time measurement protocols, in-vivo and ex-vivo MRI data with water and fat nominally in phase or out of phase relative to each other were acquired on a 7 T small animal scanner. Based on a total of 24 different echo times, PDFF maps were calculated in a magnitude-based approach. After identification of the decisive error-prone variables, pixel-wise error estimation was performed by simple propagation of uncertainty. The method was then used to evaluate PDFF data acquired for an explanted mouse liver and an in vivo mouse liver measurement.

Results: The determined error maps helped excluding measurement errors as cause of unexpected local PDFF variations in the explanted liver. For in vivo measurements, severe error maps gave rise to doubts in the acquired PDFF maps and triggered an in-depth analysis of possible causes, yielding abdominal movement or bladder filling as in vivo occurring reasons for the increased errors.

Conclusion: The combination of pixel-wise acquisition of PDFF data and the corresponding error maps allows for a more specific, spatially resolved evaluation of the PDFF value reliability.

Case Presentation: The patient was hospitalized with suspected to be a lumbar spine fracture. According to the multimodal imaging, pathologically confirmed to suffer a cardiac metastasis from small cell lung cancer. EP-regimen (Etoposide 0.1gd 1-5+Nedaplatin 30mgd 1-4) was selected for the systemic chemotherapy of the patient. During three years of follow-up, the left intra-atrial occupancy was significantly reduced.

Conclusion: Multimodality imaging can cover up the deficiencies of single imaging examinations and further clarify and enrich the understanding of the relationship between the location and the surrounding structure of the mass, thus providing a good reference for clinical treatment and decisionmaking.

Objective: This study aimed to evaluate nnUNet for automatic kidney and cyst segmentation in T2-weighted (T2W) MRI images of ADPKD patients.

Methods: 756 kidney images were retrieved from 95 patients in the Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP) cohort (95 patients × 2 kidneys × 4 follow-up scans). The nnUNet model was trained, validated, and tested on 604, 76, and 76 images, respectively. In contrast, all images of each patient were exclusively assigned to either the training, validation, or test sets to minimize evaluation bias. The kidney and cyst regions defined using a semi-automatic method were employed as ground truth. The model performance was assessed using the Dice Similarity Coefficient (DSC), the intersection over union (IoU) score, and the Hausdorff distance (HD).

Results: The test DSC values were 0.96±0.01 (mean±SD) and 0.90±0.05 for kidney and cysts, respectively. Similarly, the IoU scores were 0.91± 0.09 and 0.81±0.06, and the HD values were 12.49±8.71 mm and 12.04±10.41 mm, respectively, for kidney and cyst segmentation.

Conclusion: The nnUNet model is a reliable tool to automatically determine kidney and cyst volumes in T2W MRI images for ADPKD prognosis and therapy monitoring.

This review begins by discussing the regulatory landscape surrounding complex generic products in various regions, including the United States and Europe. It examines the specific guidelines and requirements set forth by regulatory authorities to ensure the safety, efficacy, and quality of these products. Additionally, the review explores the differences in terminology and definitions used to classify complex generics across different jurisdictions. Furthermore, it delves into the challenges faced by both regulatory agencies and pharmaceutical companies in evaluating and approving complex generic products. These challenges include establishing appropriate bioequivalence criteria, determining interchangeability with the reference product, addressing patent and exclusivity issues, and ensuring consistent quality throughout the product lifecycle. The impact of these challenges on market entry and competition is also discussed. The review highlights the need for harmonization and streamlining of regulations for complex generic products worldwide. It emphasizes the importance of clear and consistent guidelines to enable timely approvals, foster innovation, and facilitate patient access to affordable alternatives.

Methods: The preprocessing techniques (smoothing, edge detection, filtering) and segmentation techniques (watershed) are applied to the online data set. The transfer learning technique is used as a classifier whose performance is measured in terms of classification accuracy. Resnet 50, Inception V3VGG16, and VGG19 models are used as classification algorithms. The proposed model is validated using different machine learning techniques considering hybrid features.

Results: 96% accuracy was obtained employing the Inception V3 model & 95% accuracy was attained using hybrid GLDS and GLCM features employing Support Vector Machine algorithm while 93% was attained using Probabilistic Neural Network and k Nearest Neighbor techniques.

Conclusion: Computer-aided systems gave much faster and more accurate results than image processing techniques.1.0% accuracy improvement was observed while using Inception V3 over GLDS + GLCM + SVM and 2.1% accuracy improvement using GLDS + GLCM + SVM over GLDS + GLCM + kNN.

Objectives: This research aimed to independently validate the performance of machine learning-based ultrasound (US) radiomics analysis in differentiating benign from malignant SRM, and to compare its performance with that of radiologists.

Methods: A total of 499 patients from two hospitals were retrospectively included in this study and divided into two cohorts. US images were used to extract radiomics features. To obtain the most robust features, inter-observer correlation coefficient, Spearman correlation coefficient, and least absolute shrinkage and selection operator methods were applied for feature selection. Three models were developed in the training data using the stochastic gradient boosting algorithm, including a clinical model, a radiomics model, and a combined model that integrated clinical factors and radiomics features. The performance of these models was evaluated in the independent external validation data, including discrimination, calibration, and clinical usefulness, and compared with pooled radiologists' assessments.

Results: The AUCs of the clinical, radiomics, and combined models were 0.844, 0.942, and 0.954, respectively. The radiomics and combined models significantly outperformed the clinical model (all p < 0.05), while no significant difference was observed between them (p = 0.32). The radiomics and combined models showed good discrimination and calibration. Decision curve analysis exhibited that the combined model had clinical usefulness. Compared with the pooled radiologists’ assessment (AUC, 0.799), the combined model showed superior classification results (p < 0.01) and higher specificity (p < 0.01) with similar sensitivity (p = 0.62).

Conclusion: The combined model incorporating clinical factors and radiomics features accurately distinguished benign from malignant SRM.

Case Presentation: In this study, a case of a 72-year-old female with XGE and elevated CA125 is presented, which was misdiagnosed as endometrial cancer in transvaginal ultrasonography and ovarian cystadenocarcinoma in CT. However, the features of XGE on the contrast-enhanced ultrasound (CEUS) were different from that of endometrial cancer. The patient finally underwent laparoscopic hysterectomy and bilateral adnexectomy.

Discussion: The histopathological examination and immunohistochemistry suggested xanthogranulomatous endometritis (histiocytic endometritis). This case report manifests that CEUS may be a new noninvasive diagnostic method for XGE, which may reduce extensive tissue sampling and unnecessary hysterectomies for patients.

Methods: A retrospective analysis was conducted on a patient with synchronous CRC and ccRCC who underwent ¹⁸F-FDG PET/CT and contrast-enhanced CT before treatment. Databases were analyzed to identify differentially expressed genes between CRC and ccRCC, and co-expression genes were extracted for RCC and CRC.

Results: ¹⁸F-FDG PET/CT revealed intense metabolic activity in the primary colorectal lesion (SUVmax 13.2), while a left renal mass (diameter = 35 mm) was observed with no significant uptake. Contrast-enhanced CT during the arterial phase showed heterogeneous intense enhancement of the renal lesion, and the lesion washed out earlier than in the renal cortex in the nephrographic and excretory phases, indicating ccRCC. The histopathological results confirmed synchronous double primary malignant tumors. Our bioinformatic analysis results showed that synchronous occurrence of CRC and ccRCC may correlate with simultaneous expression of Carbonic Anhydrase 9 (CA9), integrin-binding sialoprotein (IBSP), and Fibrinogen γ chain (FGG).

Conclusion: ¹⁸F-FDG PET/CT combined with contrast-enhanced CT is an effective diagnostic tool in evaluating synchronous CRC and RCC. By analyzing this clinical case and conducting bioinformatic analysis, we improved our current understanding of the mechanisms underlying synchronous tumors.

Introduction: There are different modalities used for the diagnosis of pancreatic cancer, such as Positron Emission Tomography/Computed Tomography (PET/CT), Magnetic Resonance Imaging (MRI), Multiparametric-MRI (Mp-MRI), Radiomics and Radio-genomics. Although these modalities gave remarkable results in diagnosis on the basis of different criteria. CT is the most commonly used modality that produces detailed and fine contrast images of internal organs of the body. However, it may also contain a certain amount of gaussian and rician noise that is necessary to be preprocessed before segmentation of the required region of interest (ROI) from the images and classification of cancer.

Methods: This paper analyzes different methodologies used for the complete diagnosis of pancreatic cancer, including the denoising, segmentation and classification, along with the challenges and future scope for the diagnosis of pancreatic cancer.

Results: Various filters are used for denoising and image smoothening and filters as gaussian scale mixture process, non-local means, median filter, adaptive filter and average filter have been used more for better results.

Conclusion: In terms of segmentation, atlas based region-growing method proved to give better results as compared to the state of the art whereas, for the classification, deep learning approaches outperformed other methodologies to classify the images as cancerous and non- cancerous. These methodologies have proved that CAD systems have become a better solution to the ongoing research proposals for the detection of pancreatic cancer worldwide.

Objective: This study aimed to explore the value of T1 mapping and amide proton transfer weighted (APTw) imaging in predicting LN metastasis in patients with rectal cancer.

Methods: In a retrospective study, twenty-three patients with pathologically confirmed rectal adenocarcinoma who underwent MRI and surgery from August 2019 to August 2021 were selected. Then, 3.0T/MR sequences included conventional sequences (T1WI, T2WI, and DWI), APTw imaging, and T1 mapping. Patients were divided into LN metastasis (group A) and non-LN metastasis groups (group B). The intra-group correlation coefficient (ICC) was used to test the inter-observer consistency. Mann-Whitney U test was used to compare the differences between the two groups. Spearman correlation analysis was performed to evaluate the correlation between T1 and APT values. Logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the differential performance of each parameter and their combination. The difference between AUCs was compared using the DeLong test.

Results: The APT value in patients with LN metastasis was significantly higher than in those without LN metastasis group (P=0.020). Also, similar results were observed for the T1 values (P=0.001). The area under the ROC curve of the APT value in the prediction of LN metastasis was 0.794; when the cutoff value was 1.73%, the sensitivity and specificity were 71.4% and 88.9%, respectively. The area under the ROC curve of the T1 value was 0.913; when the cutoff value was 1367.36 ms, the sensitivity and specificity were 78.6% and 100.0%, respectively. The area under the ROC curve of T1+APT was 0.929, with a sensitivity of 78.6% and specificity of 100.0%.

Conclusion: APT and T1 values show great diagnostic efficiency in predicting LN metastasis in rectal cancer.

Case presentation: We presented a case of a 72-year-old female who was admitted to our hospital for chest pain and hematemesis within several minutes after chewing betel nut. Gastroscopy showed two longitudinal ridge-like mucosal eminences in the esophagus located 20 cm from the incisors down to the gastric cardia, which was similar to varices. At last, a CT scan showed concentric-circle thickening of the esophagus wall, suggesting hematomas. Our treatment included fasting, inhibiting gastric acid and maintaining blood volume. After one week of medical treatment, rechecked gastroscopy showed that esophageal hematomas were gradually absorbed, with the formation of multiple shallow ulcers.

Conclusion: The acute toxicity of chewing betel nut can be easily overlooked. Patients who experience chest pain or hematemesis after chewing betel nut products,especially those who take aspirin at the same time, need to be alert to esophageal hematoma.

Objective: This study aimed to evaluate ultrasound-based radiomics for predicting outcomes in HBV-ACLF.

Methods: We enrolled 264 HBV-ACLF patients, dividing them into a training cohort (n=184) and a validation cohort (n=80). From hepatic ultrasound images, 455 radiomic features were extracted. Radiomics-based phenotypes were identified through unsupervised hierarchical clustering. A radiomic signature was developed using a Cox-LASSO algorithm to predict 30-day mortality. Furthermore, we integrated the signature with independent clinical predictors via multivariate Cox regression to construct a combined clinical-radiomic nomogram (CCR-nomogram). Integrated discrimination improvement (IDI) and net reclassification improvement (NRI) assessed performance improvements achieved by adding radiomic features to clinical data.

Results: Both clustering and radiomic signature identified two distinct subgroups with significant differences in clinical characteristics and 30-day prognosis. In the training cohort, the signature achieved a C-index of 0.746, replicated in validation with a C-index of 0.747. The CCR-nomogram achieved C-indices of 0.834 and 0.819 for the training and validation cohorts. Incorporating radiomic features significantly improved the CCRnomogram over the signature and clinical-only models, evidenced by IDI of 0.108-0.264 and NRI of 0.292-0.540 in both cohorts (all p0.05).

Conclusion: Ultrasound-based radiomics offered prognostic information complementary to clinical data and demonstrated potential to enhance outcome prediction in HBV-ACLF.

Methods: We searched the literature for studies on Google Scholar and PubMed using the keywords “Segmentation,” “Classification,” “medical image,” and “generative adversarial network.” Specifically, the initial search revealed 5423 publications after the removal of duplicated and non-accessible fulltext publications. Then, after the title and abstract screening, 680 underwent full-text screening. Finally, 121 studies were included in our final analysis after full-text screening.

Results: The date range of the studies covered in this review is from January 1, 2017, to the present. After a thorough screening and qualification assessment, 121 studies involving GAN-based applications in seven areas of medical images were included in the final methodological review. These areas included synthesis, classification, segmentation, conversion, reconstruction, denoising, and lesion detection. We further classified and summarized these papers into clinical applications, classification methods, and imaging modalities.

Conclusion: We thoroughly examined the latest research progress of GAN-based medical image augmentation. These techniques effectively alleviate the challenge of limited training samples for medical image diagnosis and treatment models. Furthermore, several critical issues associated with GANs, such as pattern collapse, instability, and lack of interpretability, require attention in future research.

Objective: To investigate the ultrasonographic features and diagnostic value of renal cell carcinoma associated with Xp11.2 translocation/TFE3 gene fusion in children and adolescents.

Materials and Methods: The clinical and ultrasonographic data of 10 patients with renal cell carcinoma associated with Xp11.2 translocation/TFE3 gene fusion confirmed by pathology in our hospital were analyzed retrospectively. The age ranged from 3 to 18 years old, including 7 males and 3 females. The tumor location, size, boundary, echo, hemorrhage, cystic change, calcification, blood flow, lymph node status and metastasis were mainly observed, and the results were compared with the pathological results.

Results: There were 10 masses in 10 cases of renal cell carcinoma associated with Xp11.2 translocation/TFE3 gene fusion, including 4 in the right kidney and 6 in the left kidney; the maximum diameter line is 5-23cm; 9 cases had clear mass boundary (90%); 9 masses (90%) showed mixed cystic and solid masses with high echo of solid components, and 1 mass (10%) showed huge multilocular cystic mass with multiple septations; necrosis and cystic changes were seen in all 10 masses (100%); calcification in 5 masses (50%); blood flow signals were seen in the solid components of the mass (100%).

Conclusion: Renal cell carcinoma associated with Xp11.2 translocation/TFE3 gene fusion in children and adolescents are mostly large cystic and solid mixed echo masses, with high echo of solid components, and often accompanied by cystic changes and calcification. Its ultrasonic manifestations have certain characteristics. Color Doppler ultrasound has a certain diagnostic value for this disease.

Materials and Methods 123 patients with cirrhosis were retrospectively analyzed; all our patients underwent pre-contrast MRI, triphasic (arterial phase, venous phase, equilibrium phase) Gd-EOB-DTPA dynamic enhancement and hepatobiliary phase (20 minutes delayed). The relative enhancement (RE) of the patient's liver, the liver-spleen signal ratio in the hepatobiliary phase (SI liver/ spleen), the liver-vertical muscle signal ratio in the hepatobiliary phase (SI liver/ muscle), the bile duct signal intensity contrast ratio (SIR), and the radiomics features were evaluated. The support vector machine (SVM) was used as the core of machine learning to construct the liver function classification model using image and radiomics characteristics, respectively.

Results: The area under the curve was the largest in SIR to identify Child-Pugh group A versus Child-Pugh group B+C in the image characteristics, AUC = 0.740, and Perc. 10% to identify Child-Pugh group A versus Child-Pugh group B+C in the radiomics characteristics, AUC = 0.9337. The efficacy of the SVM model constructed using radiomics characteristics was better, with an area under the curve of 0.918, a sensitivity of 95.45%, a specificity of 80.00%, and an accuracy of 89.19%.

Conclusion: The image and radiomics characteristics based on Gd-EOB-DTPA-enhanced MRI can reflect liver function, and the model constructed based on radiomics characteristics combined with machine learning methods can better assess functional liver reserve.

Methods: In our method, we first verified the effectiveness of the shared matting method for the VHP slices and utilized it to segment a single image. Then, to meet the need for the automatic segmentation of serialized slice images, a method based on the parallel refinement method and flood-fill method was designed. The ROI (region of interest) image of the next slice can be extracted by using the skeleton image of the ROI in the current slice.

Results: Utilizing this strategy, the color slice images of the Visible Human body can be continuously and serially segmented. This method is not complex but is rapid and automatic with less manual participation.

Conclusion: The experimental results show that the primary organs of the Visible Human body can be accurately extracted.

Methods: Ninety patients with head-neck CTA were prospectively selected and randomly divided into a control group and a test group, with 45 patients in each group. The control group was scanned conventionally. With a tube voltage of 100 kVp and detector width of 40 mm, a 70 ml contrast agent was injected at a flow rate of 5.0 ml/s. The test group used GSI. With a tube current fixed of 445 mAs and a detector width of 80 mm, the contrast agent was injected at a flow rate of 3.5 ml/s and 0.6 ml/kg body weight, and the 55 keV virtual monoenergetic images (VMIs) were automatically reconstructed. Finally, the target vessel CT values, background noise (BN), signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), subjective scores, contrast agent dose, CT dose index volume (CTDIvol), and dose length product (DLP) were recorded. The DLP was converted to the effective dose (ED).

Results: The target vessel CT values, BN, SNR, CNR, and subjective scores of the two groups were not statistically significant (all P > 0.05), and the image quality of both groups was the same and met the diagnostic requirements. The contrast agent dose and effective dose (ED) in the test group were approximately 44% and 26% lower than that of the control group, respectively (all P < 0.05).

Conclusion: In head-neck CTA examination, the Revolution CT GSI combined with an 80 mm wide-body detector can reduce the contrast agent dose and radiation dose while ensuring image quality.

Methods: The patients with solid renal mass histopathological diagnosed after excision or tru-cat biopsy who underwent a preoperative ARFI elastography of the lesion during a 4-year period were included in this study. Preoperative shear wave velocity (SWV) values were measured in all the lesions. SWV results of RCCs and oncocytomas were compared by an independent t-test, and cut-off, sensitivity and specificity values were calculated.

Results: Forty-two of the 60 patients included in the study were men (70%) and, 18 were women (30%), and the mean age was 59.7 ± 14 (27-94) years. Among 46 RCCs (76.6%), 23 and 14 oncocytomas, 5 (23.4%) were located in the right kidney (p:0.34722). Mean SWV values were found to be significantly higher in RCCs (2.87± 0.74 (0.96-4.14) m/s) than oncocytomas (1.83 ± 0.78 (0.80-3.76) m/s) (p <0.001). In the ROC analysis, a cutoff value of 2.29 m/s was found to havean 80.4% sensitivity and a 78.6% specificity for the discrimination of RCCs from oncocytomas.

Conclusion: ARFI elastography measurements may be useful in distinguishing RCC and oncocytomas that may have similar solid radiological imaging features.

Case Report: A 52-year-old male patient was admitted to our clinic with the diagnosis of an incidental right renal mass. On contrast-enhanced abdominal CT revealed a mass reaching approximately 8 cm in diameter in the right kidney located in the middle pole. On contrast-enhanced thorax, CT showed a metastatic lesion in the left main bronchus bifurcation. The patient underwent an open radical nephrectomy with the diagnosis of an oligometastatic right renal mass. His pathology was reported as clear cell renal cell carcinoma (ccRCC). The patient was referred to the medical oncology clinic for immunotherapy. The metastatic lesion in the lung completely regressed in the follow-up of the patient who was started on Chek point inhibitors. However, he was referred to our clinic after an incidental metachronous mass was detected in the contralateral left adrenal in FDG PET/CT (SUVmax: 6.7) in 1st year. Dynamic contrast-enhanced MRI was performed to reevaluate and for mass characterization, and a 4 cm mass was observed in the left contralateral adrenal. Laparoscopic metastasectomy was performed for the left adrenal mass. No recurrence or adrenal insufficiency developed in the 6-month follow-up after discharge.

Conclusion: Transperitoneal adrenalectomy is a minimally invasive method that can be safely performed in metastatic adrenal masses. Although contralateral adrenal metastasis is rare in ccRCC, it should be kept in mind that adrenal metastasis may develop in the late period in patients with a history of renal cancer.

Objective: To automatically diagnose bone metastasis with bone scintigraphy, in this work, we proposed to cast the bone metastasis diagnosis problem into automated image classification by developing a deep learning-based automated classification model.

Methods: A self-defined convolutional neural network consisting of a feature extraction sub-network and feature classification sub-network was proposed to automatically detect lung cancer bone metastasis, with a feature extraction sub-network extracting hierarchal features from SPECT bone scintigrams and feature classification sub-network classifying high-level features into two categories (i.e., images with metastasis and without metastasis).

Results: Using clinical data of SPECT bone scintigrams, the proposed model was evaluated to examine its detection accuracy. The best performance was achieved if the two images (i.e., anterior and posterior scans) acquired from each patient were fused using pixel-wise addition operation on the bladder-excluded images, obtaining the best scores of 0.8038, 0.8051, 0.8039, 0.8039, 0.8036, and 0.8489 for accuracy, precision, recall, specificity, F-1 score, and AUC value, respectively.

Conclusion: The proposed two-class classification network can predict whether an image contains lung cancer bone metastasis with the best performance as compared to existing classical deep learning models. The high accumulation of ^99mTc MDP in the urinary bladder has a negative impact on automated diagnosis of bone metastasis. It is recommended to remove the urinary bladder before automated analysis.

Methods: The proposed methodology hinges on a patch antenna operating at 2.4 GHz and a bone phantom housing a simulated fracture, where the antenna is scanned. The collected signals are then processed with Delay-and-Sum (DAS), and Delay-Multiply-and-Sum (DMAS) reconstruction algorithms. The resulting images offer visual insights into the location of fractures.

Results: Through experimentation, the efficacy of the images varies considerably in terms of their capacity for noise and artifact suppression. While DAS exhibits reasonable effectiveness, it suppresses noise and artifacts comprehensively. In contrast, DMAS offers clearer and more precise images of bone fractures.

Conclusion: In summary, the research introduces a cost-effective and non-invasive strategy for detecting bone fractures. By involving a patch antenna at 2.4 GHz, along with image reconstruction algorithms like DMAS and DAS, one can effectively visualize the location of bone fractures. The experimental results highlight the superiority of DMAS over DAS in terms of contrast resolution, making it a highly promising avenue for fracture detection.

Case Presentation: We present a case of a solid cystic renal mass that was evaluated by contrast-enhanced ultrasound (CEUS) during an imaging workup. The patient underwent nephrectomy and histopathological confirmation of MESTK. The lesions showed hypoenhancement during the process. Quantitative perfusion analysis showed the septation of the solid cystic lesion to have lower peak enhancement with a longer rise time compared to the normal renal cortex.

Discussion: CEUS can visualize the microcirculation of the organ and reconstruction of the vessels. By providing a more detailed visualization of the microvessel, CEUS is a useful tool for further characterizing renal lesions that show indeterminate enhancement on CT. This study determined the time to peak to be shorter for the cancerous lesion than the normal renal cortex, while peak intensity did not differ between the cancerous lesion and the normal renal cortex.

Conclusion: Quantitative perfusion analysis of CEUS may be useful for differentiating benign and malignant solid cystic renal masses. Further investigation is needed to determine whether peak intensity is a useful parameter in differentiating benign and malignant solid cystic lesions of the kidney.

Objective This study aimed to overcome the problem related to identifying kidney stone composition; we need an accurate method to analyze the composition of kidney stones.

Methods In this paper, we proposed the automatic kidney stone composition analysis algorithm based on a dual-energy CT image. The algorithm first segmented the kidney stone mask by deep learning model, then analyzed the composition of each stone by machine learning model.

Results The experimental results indicate that the proposed algorithm can segment kidney stones accurately (AUC=0.96) and predict kidney stone composition accurately (mean Acc=0.86, mean Se=0.75, mean Sp=0.9, mean F1=0.75, mean AUC=0.83, MR (Exact match ratio)=0.6).

Conclusion The proposed method can predict the composition and location of kidney stones, which can guide its treatment.

Experimental results show that the weighting strategy can improve kidney stone segmentation performance. In addition, the multi-label classification model can predict kidney stone composition precisely, including the mixed composition kidney stones.

Case Presentation: A chest CT scan of a 72-year-old man with suspected chronic pneumonia revealed a well-defined consolidation in the upper lobe of the left lung. The lesion was slightly enlarged at the 9-month follow-up, and low FDG accumulation was subsequently observed using 18F-fluorodeoxyglucose (18F-FDG) PET/CT scans. The patient was later diagnosed with PEAC through percutaneous lung biopsy.

Conclusion: Our case has demonstrated specific imaging findings of PEAC.

Background: Over recent years, diagnostic imaging has progressed from a state of commencement to an advanced level. Numerous modern imaging procedures have evolved. Although contemporary medical imaging comprises image exhibition together with image refining, computer-aided diagnosis (CAD), image inscribing and conserving, and image transference, the majority of which are embraced in picture documentation and communication processes.

Aim: This review targets to encapsulate toxicology information on skin cancer unpredictability essential to interpretation measures, report important factor that helps in defining skin cancer condition, and possible medical care alternatives or medical attention endorsed referring to diverse aspects involving the size and site of malignancy, the complications, patient’s priority and well being. We concisely review various therapy alternatives, methods of radiation autoimmunity, prime observational study designs of medical and distinct radiation resources and cancer risks, and current analysis methodologies and research precision.

Conclusion: The detail of this paper covers a brief review of research and evolution in medical imaging discipline and mechanism. This review considers the physiology of melanocytes and the pathogenesis of skin cancer using medical imaging. Also, a description of risk factors, prevention methods, screening, various diagnosis methods and different stages of skin cancer, sub-types and different types of treatment methods is provided in this paper for research and development.

Objective: To explore the clinical significance of renal lesions with low-level enhancement on CT after exposure to anti-cancer drugs.

Methods: Medical records of patients with cancer who developed renal lesions on CT after exposure to anti-cancer drugs were retrospectively reviewed. Renal lesions were scored according to the extent of involvement, CT attenuation values of lesions and normal parenchyma were measured on precontrast CT and three phases of contrast-enhanced CT, and changes in serum creatinine (SCr) from one week before exposure to drugs to one week before and after the appearance of renal lesions were recorded.

Results: This study included 54 patients (86 lesions). Lesions were slightly lower density on pre-contrast CT, and less enhancing than normal renal parenchyma, especially in the delayed phase. Lesions were wedge-shaped, and involved the renal pyramid and associated renal cortex, as well as, were single or multiple, and occurred in the unilateral or bilateral kidneys. There were patchy and cord-like shadows of increased density in adjacent perirenal adipose tissue. During follow-up, lesions disappeared in 15 patients and persisted in 39 patients without significant progression. There were significant differences in renal lesions and normal renal parenchyma CT attenuation values in each phase of contrast-enhanced CT. Change in SCr level was significantly positively correlated with lesion score.

Conclusion: Renal lesions with low-level enhancement on CT suggest early drug-induced kidney injury. These findings will inform clinical decision-making.

Methods: Demographic data, pathology results, cancer stages, and hospitalization duration of 104 patients undergoing surgery at the urology clinic due to renal cell carcinoma between 2019 and 2023 were analyzed retrospectively. On computed tomography scans acquired during diagnosis, visceral adipose tissue, subcutaneous adipose tissue, total adipose tissue, and skeletal muscle area were measured. The ratios of body composition parameters were computed.

Results: When the correlation between survival time and body composition in deceased patients was analysed, a moderate but significant correlation was observed between skeletal muscle area value and total adipose tissue / skeletal muscle area ratio (r=0.630, p=0.001; r=0.598, p=0.002). A significant and strong correlation was observed between total adipose tissue value and survival (r=0.704, p<0.001). Subcutaneous adipose tissue / skeletal muscle area was found to be an independent risk factor associated with mortality, and a ratio of 0.98 or less increased the mortality risk approximately 16-fold.

Conclusion: The relationship between body composition parameters measured by computed tomography, which can be easily evaluated pre-treatment, and mortality, postoperative recovery and length of hospital stay can be evaluated, giving clinicians an idea about the potential difficulties that patients may encounter during the treatment process. For this purpose, the subcutaneous adipose tissue / skeletal muscle area ratio is the most helpful parameter that can be used.

Methods: A total of 19 patients who underwent preoperative spectral CT dual-phase enhancement and who were diagnosed with HCC by postoperative pathology were prospectively selected. Patients with ≥10% Ki67-positive tumor cells formed a high-Ki67 group, and those with <10% Ki67- positive cells formed a low-Ki67 group. The iodine concentrations (ICs) of the lesion and the descending aorta were measured during the arterial and venous phases. Relative iodine concentration (RIC) was calculated thus: RIC=IC_lesion/IC_{descending aorta}. CT values of the lesions at 40 and 70 keV were measured during the enhanced arterial and venous phases. The slope of the spectral curve (λ) was calculated thus: λ = (40 keV-70 keV) /(70-30). To compare the differences in quantitative parameters between the high- and low-Ki67 groups, either an independent samples t-test (normal distribution) or a Mann–Whitney U test (non-normal distribution) was used. Receiver operating characteristic curves were used to evaluate the effectiveness of spectral CT parameters in distinguishing between high-Ki67 and low-Ki67 groups. Pearson correlation analysis was used to evaluate the correlation between spectral CT quantitative parameters and Ki67 expression.

Results: IC, RIC and λ values for the high-Ki67 group in arterial and venous phases were higher than those for the low-Ki67 group, P < 0.05. IC, RIC, and λ values in the arterial phase were 0.83, 0.89, and 0.75, respectively; in the venous phase, the values of these three parameters were 0.76, 0.77, and 0.69, respectively. IC, RIC, and λ were positively correlated with Ki67 expression in both arterial and venous phases, with a highest correlation of 0.82 for arterial-phase RIC.

Conclusion: The quantitative parameters of spectral CT in HCC were correlated with Ki67 expression. This finding may make it easier for clinicians to determine whether a tumor is high or low in Ki67 before surgery.

Case Presentation: A 47-year-old woman was admitted to the hospital after a lung mass was found during a physical examination one month earlier. The imaging findings for this patient showed a large mass in the lower lobe of the left lung with bronchial invasion. A contrast-enhanced MRI of the brain was normal. Bronchoscopy shows a mass at the opening of the left lower basal branch, with mucosal infiltration, protrusion, and stenosis of the opening. The patient underwent radical left lung cancer surgery, and the pathology specimens stained with hematoxylin–eosin demonstrated tumor cells with the focal invasion of the bronchial cartilage. Immunohistochemical staining was positive for epithelial membrane antigen(EMA), somatostatin receptor 2 (SSTR2), progesterone receptor (PR), Ki-67 (5%–10%), CD34, and D2-40 and weakly positive for p53.The pathologic diagnosis was primary pulmonary meningioma (PPM). The tumor marker CA-125 had significantly increased in the 2 months after surgery.

Conclusion: Malignant PPM is rarer, and a clear pathological definition to distinguish between benign and malignant PPM is lacking. Potential cases should be comprehensively evaluated based on imaging, laboratory, and pathology results. A long-term regular follow-up will be required to rule out metastasis or recurrence of PPM.

Objective: The objective of this study is to present hepatic metastasis of GIST and GEP-NET with Diffusion weighted MR imaging(DWI) and the Apparent diffusion coefficients (ADC) values of masses.

Methods: 18 GIST patients and 8 GEP-NET patients were examined retrospectively. 11 males and 6 females were present in GIST group, 7 males to 5 females were involved in GEP-NET group. 18 primary GIST and 10 hepatic metastasis of GIST, 8 original GEP-NET and 19 hepatic metastasis of GEP-NET; total 55 GIST and GEP-NET masses were analysed by ADC mapping. MR images were acquired by 1,5 T MR units (32 mT/min gradient strength- Achieva; Philips Healthcare, Best, Netherlands and 32 channel GE Signa GE-Wisconsin-USA); by using a 4-8 channel standard phased-array torso XL coil, all images were evaluated by an Abdominal MRI experienced radiologist. DWI was performed in the transverse plane by using spin-echo-planar imaging sequence.

Results: No statistical differences were observed between GIST and GEP-NET patients according to age and gender variations. No significant statistical differences were observed according to the diameters and ADC values of GIST and GEP-NET patients. A significant statistical difference was observed between GIST and GEP-NET groups in terms of size of liver metastasis which was significantly higher in GIST patients. All three groups (GIST_Hep. MET, GEP-NET_Liver_Met and normal) were statistically differed according to ADC values. With the ROC curve analysis: Hepatic metastasis of GIST(n=10) and normal liver (n:47) had cut-off value for ADC: 0.925 under AUC: 0.939 with regard to ADC values and regarded 89.4% Sensitivity, 100% Specificity, 100% PPV and 66.7% PPV. ROC curve of GEP NET_ Hepatic metastasis (n=19) group and normal liver (n:47) group presented cut-off value for ADC: 0.860 under AUC: 0.967 correlated to ADC values with 93.6% sensitivity, 89.5% specificity, 95.7% PPV and 85% PPV.

Conclusion: High cellular tumors resulted from liver metastasis of GIST and GEP-NET’s, and a positive correlation was observed between ADC values and cellularity/differentiation ratios of metastatic masses.

Objective: This study aims to evaluate the efficacy of colour Doppler ultrasound and two-dimensional ultrasound of monitoring patients with cervical cancer.

Methods: Colour Doppler ultrasound (Experimental group) and two-dimensional ultrasound (Control group) are used to monitor cervical cancer and assess the treatment effects. PFS, CI, HR, DCR, ORR, PR, SD, PD, ROD, sensitivity, and specificity, accuracy between the two groups were collected and analyzed.

Results: A total of 50 patients are included in this study, and the results show that PFS (Experimental group (EG) 5.8±2.2 versus Control group (CG) 6.1±2.6), CI (EG 20% versus CG 16%), HR (EG0.31±0.18 versus CG 0.36±0.21), DCR (EG 80% versus CG 84%), ORR(EG 28% versus CG 36%), PR (EG 16% versus CG 20%), SD (EG 48% versus CG 56%), PD (EG 12% versus CG 16%) (EG 12% versus CG 16%), ROD(EG 44% versus CG 52%) between the two groups are >0.05, and the values of sensitivity (EG 75.6% versus CG 40.2%), specificity (EG 78.4% versus CG 43.3%), and accuracy(EG 80.5% versus CG 41.4%) between the two groups are<0.05.

Conclusion: Both Colour Doppler ultrasound and two-dimensional ultrasound are effective methods to evaluate the efficacy of concurrent chemo-radiotherapy in patients with cervical cancer.

Methods: A total of 600 patients who were admitted to Beijing You an Hospital were chosen for this prospective study and underwent high-concentration contrast three-dimensional CT imaging of liver blood vessels between April 2021 and December 2021. The patients were divided into two groups using the digital table method, with 300 cases. The control group received conventional nursing intervention, while the research group was provided with a mind map-based predictive nursing protocol. We recorded the image quality of three-dimensional CT imaging of liver blood vessels, satisfaction scores regarding nurse examination guidance, and the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) in both groups.

Results: The research group achieved a perfect rate of 100.00% for the high-quality three-dimensional CT imaging of liver blood vessels, which was noticeably higher compared to the rate of the control group of 98.67%. Patients in the research group expressed higher satisfaction levels regarding the guidance provided by nurses, including their attitude, timeliness, accuracy, and overall satisfaction, compared to the control group. Initially, the two groups had no notable differences in the SAS and SDS scores. However, after the intervention, both groups experienced a significant decrease in SAS and SDS scores, with the research group showing an even more substantial decline.

Conclusion: Through the creation of a mind map-based predictive nursing protocol and its implementation on patients undergoing high-concentration contrast three-dimensional CT imaging of liver blood vessels, it is possible to significantly enhance the quality of CT scans, alleviate feelings of anxiety and depression, increase patient satisfaction with examination guidance by nurses, and effectively decrease the occurrences of contrast agent leakage and allergic reactions to iodine.

Objective: To address this problem, this paper proposes a joint model called mSegResRF-SPECT, which accomplishes for the first time the task of classifying whole-body bone scan images on a public SPECT dataset [BS-80K] for the diagnosis of bone metastases.

Methods: The mSegResRF-SPECT adopts a multi-bone region segmentation algorithm to segment the whole body image into 13 regions, ResNet34 as an extractor to extract the regional features, and a random forest algorithm as a classifier.

Results: The experimental results of the proposed model show that the average accuracy, sensitivity, and F1 score of the model on the BS-80K dataset reached SOTA.

Conclusion: The proposed method presents a promising solution for better bone scan classification methods.

Methods: This retrospective study comprised 27 patients diagnosed with 29 tumors of CCPRCC. The study was approved by the Medical Ethics Committee and the requirement for the informed consent was waived. The inclusion criteria stipulated pathology-confirmed CCPRCCs with at least one preoperative imaging examination, including CT or MRI. Two experienced radiologists independently analyzed the imaging characteristics, including size, location, growth mode, morphology, texture, density, and enhancement pattern. Paired t-test was used to compare differences in CT Hounsfield unit values and apparent diffusion coefficient (ADC) imaging between the tumor and the renal cortex.

Results: The mean age of the 27 patients was 57.0 ± 14.2 years. Nineteen patients underwent CT, while 12 underwent MRI (There are 4 patients underwent not only CT but also MRI). Among the cases, 26 (96%) were single, and 1 (4%) was multiple, consisting of three lesions. Out of the 29 tumors, 15 (52%) were located in the left kidney and 14 (48%) in the right kidney. The mean tumor diameter was 3.3 ± 1.7 cm. Furthermore, 19 (66%), 3 (10%), and 7 (24%) tumors were solid, cystic, mixed solid, and cystic type, respectively. The growth mode was endogenous and exogenous in 8 (28%) and 21 (72%) tumors, respectively. The tumor shape was irregular and round in 5 (17%) and 24 (83%) tumors, respectively. The CT value of the tumor was approximately 33.2 ± 9.8 HU, which was not significantly different from that of the renal cortex(31.1 ± 6.3HU)(p = 0.343). Furthermore, 7 (24%), 12 (41%), and 3 (10%) had calcification, cystic degeneration, and hemorrhage, respectively. In 12 tumors, hypointense and hyperintense were predominant on T1 and T2-weighted images, respectively. The tumor capsule was found at the edge of 12 tumors. The average ADC value of the tumor (1.54 ± 0.74 × 10⁻³ mm²/s) and that of the renal cortex(1.68 ± 0.63×10–3mm2 /s) was not statistically significantly different (p = 0.260). The enhancement scanning revealed “wash-in and wash-out” enhancement in 19 (68%) tumors, continuous or progressive enhancement in 6 (21%) tumors, and enhanced cystic wall and central separation in 3 (11%) tumors.

Conclusion: CCPRCC occurs more likely in middle-aged and elderly individuals, and the tumor is prone to cystic degeneration, with rare bleeding and calcification, and no obvious limitation on MRI diffusion-weighted imaging, which enhancement form performs as mainly “wash-in and washout,” but the final diagnosis depends on histopathology.

Objective: The objective of this research was to present a deep learning-based approach that can detect knee joint regions in medical images. By addressing the limitations of traditional methods, the aim was to develop a more efficient and automated approach for knee joint analysis.

Methods: The proposed method utilizes the Faster R-CNN model, which consists of a region proposal network (RPN) and Fast R-CNN. The RPN generates region proposals that potentially contain knee joint regions, while the Fast R-CNN network categorizes and extracts features from these proposals. To train the model, a dataset of knee joint images was employed. The performance of the model was evaluated using metrics, such as accuracy, precision, recall, F1-score, and mean IoU (Intersection Over Union).

Results: The results demonstrated the high accuracy of the proposed method in detecting knee joint regions. The model achieved a mean IoU of 94.5, indicating a strong overlap between the predicted and ground truth regions. These findings highlight the potential of deep learning-based approaches in automating medical image analysis, specifically in the diagnosis and management of knee joint disorders.

Conclusion: This study emphasizes the significance of leveraging advanced technologies, such as deep learning, in medical imaging. By developing more efficient and accurate methods for identifying knee joint regions in medical images, it becomes feasible to enhance patient outcomes and healthcare delivery. The proposed deep learning-based approach showcases promising results, paving the way for further advancements in the field of medical image analysis and contributing to improved diagnostic capabilities for knee joint disorders.

Objective: The objective of this study is to interpret the radiological findings of GCL and address the differential diagnosis between GCL and other lymphatic malformations in light of the relevant literature data.

Methods: The sample of this retrospective study consisted of six pediatric patients, four males and two females, diagnosed with GCL based on clinical, radiological, and histopathological findings between 2015 and 2022. The age of the patients at the time of diagnosis and their symptoms at admission were obtained from the hospital database. Radiological imaging findings were evaluated in detail based on the involved systems (thorax, abdomen, and musculoskeletal).

Results: The median age of the sample, 4/6 were male, was 9 years at admission (min. 3, max. 12). The most common symptom at admission was dyspnea, often accompanied by pleural effusion. Bone involvement was the most common extrathoracic finding. Abdominal involvement was primarily asymptomatic, and the spleen was the most frequently involved organ in the abdomen.

Conclusion: The diagnosis of GCL is challenging because of its rarity and overlapping diseases. Whole-body magnetic resonance imaging is a valuable tool as it reveals the typical radiological features of GCL and how far it has spread throughout the body.

Objective: The aim of this study was to construct and validate a radiomics model based on contrast-enhanced CT to predict the GPC3 expression in HCC.

Methods: This retrospective study included 141 (training cohort: n = 100; validation cohort: n = 41) pathologically confirmed HCC patients. Radiomics features were extracted from the Artery Phase (AP) images of contrast-enhanced CT. Logistic regression with the Least Absolute Shrinkage and Selection Operator (LASSO) regularization was used to select features to construct radiomics score (Rad-score). A final combined model, including the Rad-score of the selected features and clinical risk factors, was established. Receiver Operating Characteristic (ROC) curve analysis, Delong test, and Decision Curve Analysis (DCA) were used to assess the predictive performance of the clinical and radiomics models.

Results: 5 features were selected to construct the AP radiomics model of contrast-enhanced CT. The radiomics model of AP from contrast-enhanced CT was superior to the clinical model of AFP in training cohorts (P < 0.001), but not superior to the clinical model in validation cohorts (P = 0.151). The combined model (AUC = 0.867 vs. 0.895), including AP Rad-score and serum Alpha-Fetoprotein (AFP) levels, improved the predictive performance more than the AFP model (AUC = 0.651 vs. 0.718) in the training and validation cohorts. The combined model, with a higher decision curve indicating more net benefit, exhibited a better predictive performance than the AP radiomics model. DCA revealed that at a range threshold probability approximately above 60%, the combined model added more net benefit compared to the AP radiomics model of contrastenhanced CT.

Conclusion: A combined model including AP Rad-score and serum AFP levels based on contrast-enhanced CT could preoperatively predict GPC3-positive expression in HCC.

Introduction: Our aim was to discuss the imaging findings of non-odontogenic jaw lesions to help the surgeon in the diagnosis and formulating a differential diagnosis for this vast spectrum of jaw lesions with overlapping clinical and imaging appearances.

Methods: CT and MR images of the mandible, maxillofacial region, and neck were retrieved from the archive of the Radiology Department of Pamukkale University for the duration between 2012-2023 and assessed.

Results: A total of 8125 CT and MR images were retrospectively analyzed. The mean age of the patients was 39.5 years in females and 43.2 in males, with a range varying from 15 to 72 years. Histopathologically approved benign and malignant non-odontogenic lesions were detected in only 19 patients out of 8125 images (0.23%). Osteomyelitis and abscess were the most common (n=3; 0.03%), followed by two cases (n=2; 0.02%) of each fibrous dysplasia, hemangioma, osteosarcoma, squamous cell carcinoma, and multiple myeloma, and one case (n=1; 0.01%) of each ossifying fibroma, osteoma, lymphoma, metastasis, and solitary bone cyst.

Conclusion: Although non-odontogenic benign and malignant lesions of the jaw are rare, awareness of the radiological features of these lesions plays an important role in their diagnosis and management.

Objective: To explore the influencing factors of repeatability and reliability in IVIM-DWI parameters of ROI-based liver segments in participants with HF and healthy volunteers (HV) and to assess the diagnostic efficiency of these parameters in HF.

Methods: Participants with early HF (EHF, n=59) or advanced HF (AHF, n=38) and HV (n=48) were recruited. Two examiners measured IVIM data using mono-, bi-exponential and stretched exponential models. The results and influencing factors of repeatability and reliability of IVIM-DWI, and the diagnostic efficiency were analyzed.

Results: The repeatability of D* (CV: 26.62–41.47%) and DDC (CV: 18.01–34.40%) was poor, the repeatability of ADC (CV: 4.95–9.76%), D (CV: 7.09–15.52%), f (CV: 9.35–17.15%), and α (CV: 7.48–13.81%) was better; ordered logistic regression showed statistically significant results of IVIM-derived parameters; the reliability showed no obvious trend, and ordered logistic regression showed statistically significant results of IVIMderived parameters, groups, and partial hepatic segments (all p<0.001). IVIM-derived parameters with relatively good repeatability (CV<20%) and reliability (ICC>0.4) were used to establish regression models for differential diagnosis. The AUC of regression models was 0.744–0.783 (EHF vs. AHF), but no statistically significant parameters were found in the HV vs EHF comparison.

Conclusion: IVIM-derived parameters were the most important factors affecting the repeatability and reliability, while staging of HF and hepatic segments may be the influencing factors of reliability. IVIM-derived parameters showed medium diagnostic efficiency in distinguishing between EHF and AHF.

Objective: This study aimed to compare the duration of the hepatic artery catheterization, fluoroscopy time (FT), radiation exposure, safety, and quality of life associated with the procedure in patients undergoing HAIC via TRA and TFA.

Methods: This prospective, single-center, randomized, controlled study included 120 patients with unresectable HCC undergoing HAIC procedures. Patients were randomly assigned to group A (n = 60, TRA-HAIC) or group B (n = 60, TFA-HAIC). The hepatic artery catheterization time, FT, entrance surface dose (ESD), dose area product (DAP), procedure-related complications, and quality of life associated with the procedure were assessed between the two groups. Independent-sample t-test and analysis of variance (ANOVA) were used to assess differences. Statistical significance was set at P < 0.05.

Results: HAIC procedures were successfully performed in both groups. The hepatic artery catheterization time (19.35 ± 5.84 vs. 18.93 ± 5.62 minutes, P = 0.837), FT (2.35 ± 2.23 vs. 2.25 ± 2.16 minutes, P = 0.901), ESD (259.32 ± 167.46 vs. 250.56 ± 170.58 mGy, P = 0.449), and DAP (125.37 ± 60.65 vs. 120.56 ± 64.33 Gy.cm3, P = 0.566) were comparable between the two groups. The incidence of artery occlusion (10.0% vs. 0%, P < 0.001) in the TRA group was significantly higher than that in the TFA group. TRA was associated with a statistically significant (P < 0.05) improvement in the quality of life.

Conclusion: TRA to HAIC was associated with greater improvement in the quality of life associated with the procedure compared with TFA. Both approaches to HAIC had similar efficiency, safety, radiation exposure, and procedure duration.

Methods: Dose length product total (tDLPs), volumetric CT dose index (CTDI_vol), size-specific dose estimate (SSDE), effective dose (E), and scan acquisition parameters for a total of 216 adult patients, who underwent an enhanced CT abdomen and pelvis exams over a one-year period, were obtained and retrospectively analyzed. Spearman coefficient and one-way ANOVA tests were used to check significant differences between dose metrics and the different CT protocols.

Results: The data exhibited 9 different CT protocols to acquire an enhanced CT abdomen and pelvis exam at our institute. Out of these, 4 were found more common, i.e., CT protocols were acquired for a minimum of 10 cases. Triphasic liver demonstrated the highest mean and median tDLPs across all 4 CT protocols. Triphasic liver protocol registered the highest E followed by gastric sleeve protocol with a mean of 28.7 and 24.7 mSv, respectively. Significant differences (p < 0.0001) were found between the tDLPs of anatomical location and the CT protocol.

Conclusion: Evidently, wide variability exists across CT dose indices and patient dose metrics relying on anatomical-based dose baseline, i.e., DRLs. Patient dose optimizations require establishing dose baselines based on CT protocols rather than the anatomical location.

Objective: This study aimed to investigate the ultrasonic characteristics of fetal SBO and determine the optimal cutoff value for intestinal diameter to enhance prenatal ultrasound diagnosis.

Methods: We retrospectively analyzed the ultrasonic characteristics and postpartum data of 76 cases diagnosed with SBO. Receiver operating characteristic (ROC) curve analysis was performed to identify the optimal cutoff value for dilated intestinal diameter.

Results: Among the 76 cases, 31 displayed the “double bubble sign” on ultrasound, with 20 cases identified as annular pancreas, 6 as duodenal atresia, and 5 as duodenal membranous stenosis. In 45 cases, the lesions were located in the jejunal or ileal segment and exhibited intestinal dilatation above the lesion site, including 27 cases of small bowel atresia, 7 cases of membranous jejunal stenosis, and 11 cases of small bowel volvulus. Out of the 76 cases, 9 showed no abnormalities after birth. ROC curve analysis determined optimal cutoff values of 17.5mm and 10.5mm for predicting “double bubble sign” lesions in the gastric and duodenal widths. For predicting small intestinal dilatation, the optimal cutoff values for dilated width and length of the intestinal tube were 11.5mm and 21.5mm, respectively, with high sensitivity and specificity.

Conclusion: Ultrasonic imaging and changes in intestinal diameter provide valuable information for prenatal diagnosis and management of SBO. Establishing these cutoff values can improve the accuracy of prenatal ultrasound diagnosis for SBO.

Objective: The aim of the current investigation was to find novel 2-chloroquinoline-3-carboxamide derivatives that target the Ephrin B4 (EPHB4) receptor to treat cancer.

Materials and Methods: Chem Axon Marvin Sketch 5.11.5 was used to create derivatives of 2-chloroquinoline-3-carboxamide. The physicochemical characteristics of compounds as well as their toxicity were predicted using SwissADME& the admet SAR online software’s. Molecular docking technology was used to examine the ligand-receptor interactions of 2-chloroquinoline-3-carboxamide derivatives with the target receptor (PDB- 6FNM) using a variety of software’s, including Autodock1.1.2,Procheck, ProtParam tool, Biovia Discovery Studio Visualizer v20.1.0.19295, MGL Tools 1.5.6, PyMOL, and were all included.

Results: All developed compounds were determined to be orally bioavailable, less toxic, and have acceptable pharmacokinetic properties according to in silico studies. In comparison to the traditional medication Erdafitnib, all new compounds displayed higher docking scores.

Conclusion: The increase in binding energy and the number of H-bonds created by novel derivatives with interactions at distances below 3.40A provide a helpful starting point for formulating and synthesizing compounds that are most suitable for additional research. The application of the 2- chloroquinoline-3-carboxamide moiety as a potential new cancer treatment candidate is supported by its pharmacokinetics &toxicological profile, which may aid medicinal chemists in conducting more in-depth in vitro, in vivo chemical and pharmacological studies.

Methods: Mesoporous silica nanoparticles functionalized with (3-Aminopropyl) triethoxysilane (APTES) linker (MSN-NH₂) and mesoporous silica nanoparticles grafted with molecularly imprinted polymers (MSN-MIP) from the previous study were examined in this study to determine how well they absorbed urea, creatinine, and uric acid in a simulated intestinal serum.

Results: MSN-MIP's large surface area (879.12 (m²/g)) and volume of pores (0.8475 (cm³/g)) made removal results that were satisfactory in the simulated serum. Additionally, MSN-MIP demonstrated a high urea adsorption capacity (q_m = 1836.45 mg/g). Creatinine (q_m = 1529.5 mg/g) and uric acid (q_m = 1210.6 mg/g) were absorbed via NH-MSN2, which demonstrated a noticeable potential for absorption. The results of cell viability test for the first 72 hours, showed that the use of these absorbents in hemodialysis systems is acceptable.

Conclusion: Synthesized adsorbents can be utilized in the hemodialysis system since the results of the cell viability test also showed that the percentage of cell viability was extremely high up to 72 hours.

Objective: This review provides a brief overview of the current research status of traditional materials used in glucose sensors. The sensing performance, chemical stability, and environmental properties of nanocellulose-based glucose sensors are compared and summarized based on the three sensing methods: electrochemical sensing, colorimetric sensing, and fluorescence sensing. The article focuses on recent strategies for glucose sensing using nanocellulose as a matrix. The development prospects of nanocellulose-based glucose sensors are also discussed.

Conclusion: Nanocellulose has outstanding structural characteristics that contribute significantly to the sensing performance of glucose sensors in different detection modes. However, the preparation process for high-quality nanocellulose is complicated and has a low yield. Furthermore, the sensitivity and selectivity of nanocellulose-based glucose sensors require further improvement.

Method: An introduction to the epidemiology of UTIs and detailed herbal nanoformulation treatment approach through novel intravaginal route is intended through this narrative review. UTIs are associated with significant morbidity and mortality, and they affect the quality of life of the affected patients. Multidrug-resistant bacteria and recurrent UTIs are becoming more common. Development of resistance, adverse effects of antibiotics, and other associated problems lead to establishing the research framework to find out the alternative approaches in controlling UTIs. Antibiotic- free treatments for uncomplicated urinary tract infections UTIs should be used, saving drugs for severe infections. Herbal medication might be used instead of antibiotics for uncomplicated UTIs, in addition to analgesics for purely symptomatic treatment.

Conclusion: This review identifies the pathophysiology of UTI, distinguish the intravaginal route as an alternative to oral delivery route, summarizes the management of urinary tract infections and highlights the anti-uropathogenic and anti-bactericidal effects of herbal approaches to prevent or treat urinary tract infections.

Objective: This study aimed to review the possible effects of Per and poly-fluoroalkyl substances exposure and their mechanism in overweight/obese children from pregnant ladies.

Methods: A detailed literature survey was conducted using online databases, including Science Direct, Google Scholar, Scopus, Cochrane, and PubMed. The study focused on the diverse effects of PFAS on maternal and child health, with particular emphasis on neurological complications.

Results: Child growth development depends upon breastfeeding and placenta health, which is disrupted by PFAS exposure, ultimately destroying the body mass index of the child. Neurotoxicity testing utilized the SH-SY5Y human-derived cell line as an in vitro model, revealing PFAS-induced increases in adipocyte number, reduced cell size, altered lipid conglomeration, increased adiposity, and changes in liver function. in vivo studies in mice and human cell lines indicated PPAR-γ and ER-α activation, leading to adiposity and weight gain through Estrogen signaling and Lipid metabolism. PFAS concentrations positively correlated in maternal sera, analyzed by liquid chromatography/quadrupole mass spectrometry.

Conclusion: PFAS, with a long half-life of 3.5-8.5 years, is commonly found in the serum of pregnant women, crossing the placenta barrier. This exposure disrupts placental homeostasis, negatively impacting mechanisms of action and potentially leading to deterioration in pregnancy and child health. Further research is needed to comprehensively understand the complex interplay between PFAS exposure and its implications for maternal and child well-being.

Background: The complement system is an important component of the innate immune system that can recognise molecular patterns on the pathogens (non-self), altered self (apoptotic and necrotic cells, and aggregated proteins such as beta-amyloid peptides), and cancer cells. It is no surprise that clusters of charge on nanoparticles are recognised by complement subcomponents, thus activating the three complement pathways: classical, alternative, and lectin.

Objective: This study aimed to examine the ability of Fe-NPs to activate the complement system and interact with macrophages in vitro.

Methods: Complement activation following exposure of Fe-NPs to macrophage-like cell line (THP-1) was analyzed by standard protocol. Real-time PCR was used for mRNA-level gene expression analysis, whereas multiplex cytokine array was used for protein-level expression analysis of cytokines and chemokines.

Results: Fe-NPs activated all three pathways to a certain extent; however, the activation of the lectin pathway was the most pronounced, suggesting that Fe-NPs bind mannan-binding lectin (MBL), a pattern recognition soluble receptor (humoral factor). MBL-mediated complement activation on the surface of Fe-NPs enhanced their uptake by THP-1 cells, in addition to dampening inflammatory cytokines, chemokines, growth factors, and soluble immune ligands.

Conclusion: Selective complement deposition (mostly via the MBL pathway in this study) can make pro-inflammatory nanoparticles biocompatible and render them anti-inflammatory properties.

Methods: We retrieved all the compound data of AM from the Traditional Chinese Medicine Systems Pharmacology database and screened out the active compounds and their target proteins. Then, a network of candidate compounds and target compounds of AM was constructed using Cytoscape software. Furthermore, hypertensive nephropathy-related genes from the DisGeNET and GeneCards databases were intersected with AM target proteins and hypertensive nephropathy-related genes to determine the potential targets of AM in treating hypertensive nephropathy. Finally, after performing Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, we conducted molecular docking to verify the interaction between the main active ingredients of AM and the core targets.

Results: A total of 87 effective components of AM were obtained from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database. According to the network of active compounds and their target proteins, 18 of the 20 effective compounds in AM could act on 210 proteins. Taking the intersection of 274 hypertensive nephropathy-related genes and AM target proteins, 49 potential targets of AM in treating hypertensive nephropathy were identified. Using the median degree value, we determined 25 core targets of AM in treating hypertensive nephropathy. GO enrichment analysis showed that the biological processes of AM on hypertensive nephropathy mainly focused on the inflammatory response, hypoxia response, angiogenesis, cell proliferation, and cell migration. KEGG pathway enrichment analysis mainly involved cancer pathways, the AGE-RAGE signaling pathway in diabetic complications, blood flow shear stress, and atherosclerosis. Molecular docking results showed that quercetin, kaempferol, and 7-O-methylisomucronulatol had strong binding activity with several target proteins and may exert protective effects by stabilizing the interaction between molecules through the intermolecular forces of hydrogen bonds.

Conclusion: This study reveals the targets of AM in treating hypertensive nephropathy using network pharmacology and molecular docking, providing new clues for developing novel drugs for hypertensive nephropathy and basic research development.

Methods: The desired alkoxy substituted aminoquinoxalines (AQNX1-9) were synthesized by the reaction of QNX and alkoxy substituted aryl amines such as 2-methoxyaniline, 4-methoxyaniline, 2- ethoxyaniline, 3-ethoxyaniline, 4-ethoxyaniline, 4-butoxyaniline, 2,4-dimethoxyaniline, 3,4- dimethoxyaniline, and 3,5-dimethoxyaniline according to the previously published procedure. QNX was aminated in DMSO at 130°C. We synthesized various alkoxy substituted aminoquinoxaline compounds (AQNX1-9) and evaluated their anticancer and antimicrobial activities in order to expand the search to related structures. In particular, two aminoquinoxaline (AQNX5 and AQNX6) compounds, coded as NSC D-835971/1 and NSC D-835972/1 by the National Cancer Institute in the USA, were screened for anticancer screening at a dose of 10^-5 M on a full panel of 60 human cell lines obtained from nine human cancer cell types (leukemia, melanoma, non-small cell lung, colon, central nervous system, ovarian, kidney, prostate, and breast cancer).

Results: Further in silico studies were also conducted for the compound AQNX5 (NSC D- 835971/1), which was found to be the most active antiproliferative agent, especially against leukemia cell lines. Molecular docking studies showed that AQNX5 interacted with Glu286 and Lys271 through hydrogen bonding and π-stacking interaction in the ATP binding region of Abl kinase, which is indicated as a potential target of leukemia. Besides, AQNX5 occupied the minor groove of the double helix of DNA via π-stacking interaction with DG-6.

Conclusion: According to in silico pharmacokinetic determination, AQNX5 was endowed with drug-like properties as a potential anticancer drug candidate for future experiments. In the light of these findings, more research will focus on aminated quinoxalines' ability to precisely target leukemia cancer cell lines.

Method: Information and data regarding wheatgrass cultivation practices, processing, and preservation methods were collected from scientific sources, including Google Scholar, ResearchGate, ScienceDirect, fig, Web of Science, and Scopus databases.

Result: Wheatgrass is a highly valuable source of diverse nutrient compounds. Various cultivation methods, such as indoor and outdoor techniques using different growing mediums, have been employed for wheatgrass production. Recent methods for wheatgrass preservation have been suggested to enhance the bioactive compounds present in wheatgrass.

Conclusion: Numerous studies have demonstrated that the consumption of wheatgrass and wheatgrass- based products can help control diabetes, atherosclerosis, kidney and colon diseases, anemia, and certain types of cancer. The smaller size of wheatgrass allows for easier assimilation of its beneficial compounds. Creating awareness among consumers about the nutritional profile and therapeutic properties of wheatgrass is crucial in order to maximize its market potential.

Design: A retrospective, single-centre cohort carried out at Gregorio Marañón Hospital between January 2018 -December 2019.

Methods: A total of 163 patients were enrolled. In January 2018 and December 2019, we treated patients who underwent ICI treatment in the Medical Oncology Department of General University Hospital Gregorio Marañón, a tertiary care public hospital in Madrid, as part of an observational, retrospective, single-center cohort study.

Results: Endocrinopathies were diagnosed in 19.5% of the patients (n = 32). The tumours with the highest incidence of endocrinopathies were non-small cell lung cancer (25,9%), kidney cell cancer (25%) and hepatocarcinoma (20%). Among the 32 patients who developed endocrinopathy, 18,8%, 19,13%, and 21,28% received anti-CTLA-4, anti-PD-1 and anti-PDL-1, respectively. Thyroid dysfunction was the most frequent endocrinopathy (12,8%). A higher percentage of patients with negative antiTPO and antiTG antibodies developed G1 hypothyroidism compared to patients with positive antibodies who developed a higher proportion of G2 hypothyroidism. The presence of an initial phase of thyrotoxicity was not related to greater severity. We observed longer progression-free survival in patients who developed thyroid dysfunction.

Conclusion: Pre-existing antibodies were independently associated with endocrinopathies. Moreover, our study let us conclude that the presence of thyroid autoantibodies may be related to its severity. It is important to determine anti-thyroid antibodies prior to the start of immunotherapy as a risk factor for thyroid dysfunction, which in turn is a prognostic marker.

Objective: The objective of the study was to combine the 3-amino-4-(2,4,5- trifluorophenyl) butyric acid and menthol to develop a new candidate drug molecule that can be used as a hypoglycemic drug in type II diabetes.

Methods: In this study, the molecular structure of 3-amino-4-(2,4,5-trifluorophenyl) butyric acid in sitagliptin was modified by replacing pyrazine imidazole with menthol. The structure of the target compound was characterized by nuclear magnetic resonance (NMR). The anti-diabetic activity of BHF in N000180 BKS.Cg-Dock7m+/ +Leprdb/Nju mice with spontaneous diabetes was preliminarily studied.

Results: A potential multi-target drug molecule, 3-amino-4-(2,4,5-trifluorophenyl) butyrate (BHF), was synthesized by combining 3-amino-4-(2,4,5-trifluorophenyl) butyric acid and menthol. BHF is suitable for hyperglycemic mice and has a significant hypoglycemic effect; the low dose of 10 mg/kg-1 started to be effective, and the high dose of 40 mg/kg-1 was more effective than the positive drug metformin.

Conclusion: In this study, BHF has been synthesized and presented significant antidiabetic activities.

With an emphasis on lung illnesses, this article will offer an in-depth understanding of dextran-based delivery systems in respiratory illnesses.

Materials and Methods: This study investigated the effects of BMSC-exos on the growth and metastasis of human umbilical vein endothelial cells (HUVECs) treated with high glucose (HG). The exosomes were separated from BMSCs and identified. The cell phenotype was detected by 3-(4,5- dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide and 5-ethynyl-2’-deoxyuridine, wound healing, and transwell assays, while the number of tubes was measured via tube formation assay.

Result: The RNA and protein expression levels were studied using reverse transcription-quantitative polymerase chain reaction and western blotting, whereas integration of microRNA-99b-5p (miR-99b-5p) with THAP domain containing 2 (THAP2) was confirmed via dual-luciferase reporter and RNA pull-down assays. Results of transmission electron microscopy, nanoparticle tracking analysis, and laser scanning confocal microscopy revealed that exosomes were successfully separated from BMSCs and endocytosed into the cytoplasm by HUVECs. Similarly, BMSC-exos were found to promote the growth of HG-treated HUVECs, while their growth was inhibited by suppressing miR-99b-5p. THAP2 was found to bind to miR-99b-5p, where THAP2 inhibition reversed the miR-99b-5p-induced effects on cell growth, migration, and tube numbers.

Conclusion: In conclusion, miR-99b-5p in BMSC-exo protects HUVECs by negatively regulating THAP2 expression.

Aims: This study aims to elucidate the multifaceted role of TLR4-mediated signaling in ADMSCs.

Methods: Employing a comprehensive set of assays, including MTT for cell viability, flow cytometry for surface marker expression, and gene expression analysis, we demonstrate that TLR4 activation significantly modulates key aspects of ADMSC biology. Specifically, TLR4 signaling was found to regulate ADMSCs proliferation, surface marker expression, and regenerative capacity in a dose- and time-dependent manner. Furthermore, TLR4 activation conferred cytoprotective effects against Doxorubicin (DOX)-induced cellular apoptosis.

Results: These findings suggest that TLR4 signaling could be used to enhance the regenerative abilities of ADMSCs and enable ADMSC-based therapies to be used more effectively for tissue engineering and therapeutic purposes.

Conclusion: However, it is important to note that research in this area needs more details and clinical studies.

Methods: Rat renal proximal tubule NRK-52E cells were treated with different concentrations of DFO for 24 hours, followed by evaluation of RTEC injury, using a Cell Counting Kit-8 (CCK-8) to detect cell viability and western blotting to evaluate the expression of transforming growth factor- beta 1 (TGF-β1), α-smooth muscle actin (α-SMA), and hypoxia-inducible factor-1 alpha (HIF-1α) in NRK-52E cells. Then, three groups of NRK-52E cells were used in experiments, including normal control (NC), 25 μM DFO, and 25 μM DFO + MSC-CM. MSC-CM was obtained from the human umbilical cord. MSC-CM was used to culture cells for 12 hours before DFO treatment, then fresh MSC-CM and 25 μM DFO were added, and cells were cultured for another 24 hours before analysis.

Results: Western blotting and cellular immunofluorescence staining showed culture of NRK-52E cells in 25 μM DFO for 24 hours induced HIF-1α and nuclear receptor coactivator-1 (NCoA-1), simulating hypoxia. MSC-CM could inhibit the DFO-induced up-regulation of α-SMA, TGF-β1, HIF-1α and NCoA-1.

Conclusion: Our results suggest that MSC-CM has a protective effect on RTECs by down-regulating HIF-1α and NCoA-1, which may be the harmful factors in renal injury.

Methods: Expression of NEIL3 and its upstream transcription factor MAZ in HCC tumor tissues was analyzed in bioinformatics efforts, while validation was done by qRT-PCR and western blot in HCC cell lines. The migration and tube formation capacity of HUVEC cells were analyzed by Transwell and tube formation assays. Glycolytic capacity was analyzed by extracellular acidification rate, glucose uptake, and lactate production levels. Chromatin immunoprecipitation (ChIP) and dual-luciferase reporter gene assays were utilized to investigate specific interactions between MAZ and NEIL3.

Results: NEIL3 and MAZ were substantially upregulated in HCC tissues and cells. NEIL3 was involved in modulating the glycolysis pathway, suppression of which reversed the stimulative impact of NEIL3 overexpression on migration and angiogenesis in HUVEC cells. MAZ bound to the promoter of NEIL3 to facilitate NEIL3 transcription. Silencing MAZ reduced NEIL3 expression and suppressed the glycolysis pathway, HUVEC cell migration, and angiogenesis.

Conclusion: MAZ potentiated the upregulated NEIL3-mediated glycolysis pathway and HCC angiogenesis. This study provided a rationale for the MAZ/NEIL3/glycolysis pathway as a possible option for anti-angiogenesis therapy in HCC.

Methods: To ensure a thorough search of the literature for relevant English studies published before July 2023, several databases were searched, including PubMed, Web of Science, ProQuest, Cochrane Library, and Google Scholar. The study evaluated the impact of lncRNA SNHG5 on the overall survival (OS) of cancer by calculating the pooled hazard ratio (HR) and odds ratio (OR) with 95% confidence intervals (CIs). To further confirm the accuracy of the findings, the study investigated the expression profile and prognostic significance of lncRNA SNHG5 through the use of GenomicScape, OncoLnc, Kaplan-Meier plotter, and GEPIA databases.

Results: In this study, 995 patients were examined across a total of fourteen original studies. The findings indicated that there was a significant relationship between heightened lncRNA SNHG5 expression and reduced OS, as evidenced by both univariate and multivariate analyses (HR = 1.89; 95% CI, 1.44-2.49; p < 0.001; HR = 3.97; 95% CI, 1.80-8.73; p < 0.001, respectively). Pooled OR analysis showed a significant association between over-expression of lncRNA SNHG5 with advanced histological grade (OR = 0.28; 95% CI, 0.11-0.71; p = 0.007), present lymph node metastasis (LNM; OR = 4.28; 95% CI, 2.47-7.43; p < 0.001), and smoking history (OR = 0.27; 95% CI, 0.15-0.49; p < 0.001). Bioinformatic databases confirmed that elevated SNHG5 expression was significantly linked to poor prognosis in cancer patients, including colorectal cancer (CRC), acute myeloid leukemia (AML), and esophageal adenocarcinoma (ESAD), and a longer OS in patients with uterine corpus endometrial carcinoma (UCEC).

Conclusion: These results suggest that lncRNA SNHG5 may serve as an adverse prognostic biomarker in several human cancers. Further investigations are needed to better understand the underlying mechanisms that link lncRNA SNHG5 to multiple malignancies.