National trends of malpractice-related cardiovascular mortality within the United States, 1999-2020.

Cardiovascular disease (CVD) stands as the leading cause of mortality in the USA, claiming a life every 33 seconds, while cardiology ranks among the top three specialties with malpractice-related claims. The authors' study aims to scrutinize sex disparities in CVD-related mortality linked with malpractice among the elderly population (≥65 years) in the USA. Data pertaining to malpractice incidents in CVD treatment spanning from 1999 to 2020 were sourced from the CDC Wonder database. Age-adjusted mortality rates (AAMRs) per 1,000,000 individuals were computed. Joinpoint regression analysis was used to determine the annual percent changes (APCs) with a 95% CI, stratified across variables such as age, race/ethnicity, census region, and urban or rural settings. Over the investigated period, 2432 deaths in the US were attributed to CVD-related malpractice, with an AAMR of 2.7. Initially stable (1999-2004), mortality rates experienced a significant decline until 2020. Females consistently exhibited a higher AAMR (2.7) than males (2.6). Notably, NH Black females recorded the highest AAMR (3.1), while NH Black males and NH Asian females reported the lowest (2.5). Furthermore, NH White males demonstrated a higher AAMR (2.7) than NH Black males (2.5); conversely, NH Black females exhibited a higher AAMR (3.1) than NH White females (2.7). Mortality rates were notably elevated in the West compared to the South, with both urban and rural areas indicating higher AAMRs in females. The authors' findings underscore the necessity for targeted interventions to address the pronounced disparities, particularly among NH Black women, individuals in the West, males, and urban locales.

Long-Term Risk of Colorectal Cancer in Patients With Prediabetes: A Comprehensive Systematic Review and Meta-Analysis.

BACKGROUND AND AIMS: Prediabetes is often underdiagnosed and underreported due to its asymptomatic state in over 80% of individuals. Considering its role in promoting cancer incidence and limited evidence linking prediabetes and colorectal cancer (CRC), we conducted a systematic review and meta-analysis to evaluate the incidence of colorectal cancer in people with prediabetes. METHODS: A comprehensive search through PubMed/Medline, Embase, Scopus, and Google Scholar was performed until June 1, 2022, to screen for studies reporting CRC incidence/risk in prediabetics. Binary random-effects models were used to perform meta-analysis and subgroup analyses. Sensitivity analysis was done using leave-one-out method. The quality of the studies was assessed by the Newcastle Ottawa Scale for observational studies. RESULTS: Seven prospective and one retrospective study comprising 15 cohorts and a pooled number of 854,876 cases and 219,0511 controls were included in the analysis (2 Japan, 2 Korea, 1 Sweden, 1 UK, 1 China, and 1 USA). After combining all the studies, the forest plots for adjusted analysis shows a statistically significant increase in odds of having CRC with prediabetes (OR=1.16; 1.08-1.25, p< 0.01; I2=56.06%) and unadjusted analysis also shows a statistically significant increase in odds of having CRC with prediabetes (OR=1.62; 1.35-1.95, p< 0.01; I2=85.72% ). Sensitivity analysis using the Leave-one-out method did confirm equivalent results. Subgroup analysis based on type of study, the odds of developing CRC was higher in prospective studies (OR=1.175; 1.065-1.298) (p=0.001) than retrospective studies (OR=1.162; 1.033- 1.306) (p=0.012). The odds of developing CRC were not significantly higher in ages >60 (OR=1.446; 0.887-2.356) (p=0.139) compared to less than 60 years. The strongest association b/w prediabetes and CRC was found on a median 5-10 years (aOR=1.257; 1.029-1.534) (p=0.025) follow-up compared to < 5 years and 10 years and higher. CONCLUSIONS: This study showed that the odds of developing CRC is 16% higher in patients with prediabetes than those with normal blood glucose. Lifestyle modifications such as weight loss, proper diet, and exercise are essential to control prediabetes. This study further warrants a specific prediabetes screening for patients already at high risk of colorectal cancer with other risk factors.

Procedure-Related Complication Rates With the Use of Vascular Closure Devices; Does Size Only Matter? A Large Single Centre Retrospective Study.

INTRODUCTION: Our retrospective study aimed at assessing safety of vascular closure devices (VCDs) used in a large single-centre Interventional Radiology (IR) department. Complication and deployment failure rates using collagen-based (Angio-seal) and suture-based (ProGlide) devices for common femoral artery haemostasis were compared. MATERIALS AND METHODS: Data from VCDs deployed over a 6-year period were retrospectively analysed for patient age, procedure indication, puncture mode (antegrade/retrograde), sheath size, deployment failure and complications (haematoma, pseudoaneurysm formation, limb occlusion). Numerical and statistical analysis was undertaken. RESULTS: Overall, 1321 common femoral artery punctures in 1217 patients were closed using VCDs. Failure rate using ProGlide was significantly higher when compared with Angio-seal (P=<0.001) in sheath sizes ≤8 Fr. Heparin was not administered in embolisation procedures compared with angioplasty with or without stenting. Therefore, haematoma tended to occur more frequently following angioplasty without stenting (P = 0.003) and angioplasty with stenting (P = 0.001), when compared with embolisation. Deployment failure occurred more frequently when heparin was used during the procedure (P = 0.005). CONCLUSION: Although complications relating to sheath size are well established in the literature, there remains a paucity of data assessing the impact of procedure specific factors when comparing VCDs. Our study challenges that size is the sole determinant of VCD success and invites a more holistic view of VCD deployment strategies. This study advocates continued research into the nuances of other potential confounding variables to optimise patient outcomes.

Adherence to Cysteamine Therapy Among Patients Diagnosed with Cystinosis in Saudi Arabia: A Prospective Cohort Study.

Cystinosis is a rare autosomal recessive disorder in which cystine crystals accumulate within the cellular lysosomes, causing damage to multiple organs. Due to challenges with the stringent cysteamine treatment regimen and side effects, adherence is often sub-optimal. This study aimed to assess the level of adherence to cysteamine therapy among cystinosis patients in Saudi Arabia and its impact on their quality of life. Electronic medical record data of 39 cystinosis patients from the Department of Nephrology at King Faisal Specialist Hospital and Research Center in Saudi Arabia were reviewed, and 25 patients were included in this study. Out of the 25 patients included in the final analysis, 64% (n = 16) were female. The mean age was 19.04 years. Almost all patients (23/25, 92%) were on oral IR cysteamine therapy, and 52% (13/25) were on topical cysteamine eye drop treatment. Of the 15 patients who responded to the Morisky Medication Adherence Scale-8 (MMAS-8) questionnaire, only 4 (26.7%) were highly adherent to cysteamine therapy. Most of the respondents (7/15, 46.7%) showed a medium level of treatment adherence. Based on the medication possession ratio for oral cysteamine, only 6 out of 23 patients (26.1%) were found to be 96-100% adherent. For the cysteamine eye drops, only 5/13 patients (38.4%) were 76-95% adherent. The 36-Item Short Form Health Survey (SF-36) used to assess patients' health-related outcomes showed that their quality of life was affected in the domains of 'social functioning' and 'energy/fatigue.' Despite a small sample size, this study shows sub-optimal adherence to cysteamine treatment in patients from Saudi Arabia. The possible reasons for low treatment adherence could be a high frequency of administration and treatment-related side effects.

Aberrant HIF1- α and SIX-1 Expression is Associated with Poor Prognosis in Acute Myeloid Leukemia Patients with Isocitrate Dehydrogenase 1 Mutations.

BACKGROUND: IDH1 mutations are common in many cancers, however, their role in promoting the Warburg effect remains elusive. This study elucidates the putative involvement of mutant-IDH1 in regulating hypoxia-inducible factor (HIF1-α) and Sine-Oculis Homeobox-1 (SIX-1) expression. METHODOLOGY: Genetic screening was performed using the ARMS-PCR in acute myeloid leukemia (AML), brain, and breast cancer (BC) cohorts, while transcript expression was determined using qPCR. Further, a meta-analysis of risk factors associated with the R132 mutation was performed. RESULTS: Approximately 32% of AML and ∼60% of glioma cases were mutants, while no mutation was found in the BC cohort. 'AA' and TT' were associated with higher disease risk (OR = 12.18 & 4.68) in AML and had significantly upregulated IDH1 expression. Moreover, downregulated HIF1-α and upregulated SIX-1 expression was also observed in these patients, suggesting that mutant-IDH1 may alter glucose metabolism. Perturbed IDH1 and HIF-α levels exhibited poor prognosis in univariate and multivariate analysis, while age and gender were found to be contributory factors as well. Based on the ROC model, these had a good potential to be used as prognostic markers. A significant variation in frequencies of R132 mutations in AML among different populations was observed. Cytogenesis (R2 = 12.2%), NMP1 mutation status (R2 = 18.5%), and ethnic contributions (R2 = 73.21%) were critical moderators underlying these mutations. Women had a higher risk of R132 mutation (HR = 1.3, P < 0.04). The pooled prevalence was calculated to be 0.29 (95% CI 0.26-0.33, P < 0.01), indicating that IDH1 mutations are a significant prognostic factor in AML. CONCLUSION: IDH1 and HIF1-α profiles are linked to poor survival and prognosis, while high SIX-1 expression in IDH1 mutants suggests a role in leukemic transformation and therapy response in AML.

IDH1 mutations are common in many types of cancer, but scientists have not fully understood how they contribute to the Warburg effect - a process that alters glucose metabolism in cells. In this study, we evaluate the association between mutant-IDH1 and HIF1 as well as SIX-1 gene expression. We analyzed genetic data from patients with brain cancer, breast cancer, and acute myeloid leukemia (AML), and found that roughly 32% of AML cases and 60% of glioma cases had IDH1 mutations, while no mutations were found in breast cancer. Patients with mutant genotypes had a higher risk of disease and showed upregulated IDH1 expression. They also had downregulated HIF1 and upregulated SIX-1 expression, suggesting that mutant-IDH1 can change glucose metabolism in cancer cells. Patients with abnormal IDH1 and HIF1 levels were more likely to have a poor prognosis. Further, we identified several risk factors that can influence IDH1 mutations, including cytogenesis, NMP1 mutation status, and ethnicity. The researchers calculated that IDH1 mutations are a significant factor in predicting outcomes for AML.

Challenging the Controversy Surrounding Percutaneous Brachial Artery Access Related Complications: A Systematic Review and Meta-Analysis.

BACKGROUND: Endovascular therapy has become increasingly preferred in the diagnosis and treatment of various conditions. The choice of arterial access usually depends on the type of procedure being performed with most via the common femoral artery and increasingly via the radial artery. Percutaneous access via the brachial artery has however been approached with caution due to the perceived increased risk for development of complications. Percutaneous brachial artery access (pBAA) has insufficient evidence when compared to femoral and radial access, with no large-scale studies available. The objective of this study is to review the literature and report the clinical and radiological complications associated with pBAA. METHODS: EMBASE, EMCARE, CINAHL and Medline were searched for existing data on the complications associated with pBAA. Systematic review and meta-analysis were carried out on the data of 31 studies. RESULTS: The results of this systematic review and meta-analysis indicates that the probability of post procedural haematoma was 4.76%, haemorrhage 1.43%, perforation 1.11% pseudoaneurysm 1.06%, spasm 0.9%, thrombus 0.55%, neuropathy 0.53%, occlusion 0.51%, ischaemia 0.37% and infection 0.24 %. Non-target vessel puncture, stenosis and stroke had a 0% incidence among the assessed population. CONCLUSION: This study provides evidence to support clinical decision making when it comes to the utility of pBAA in endovascular diagnosis or therapy. The results demonstrate that pBAA is relatively safe with a low incidence of serious complications and thereby provide the clinician with the option of an alternate access point when planning treatment.

Descending Colon Metastasis of Renal Cell Carcinoma: An Unusual Site of Metastasis.

Renal cell carcinoma (RCC) has a high metastatic potential. While metastasis to common sites like the lungs, liver, bones, and brain is well-documented, metastasis to the colon, particularly the descending colon, remains an uncommon occurrence. When RCC does metastasize to the gastrointestinal tract, it commonly spreads to the small bowel and stomach. There are few cases reported in literature involving RCC metastasis to the colon. The commonly affected areas within the colon include the rectosigmoid colon, splenic flexure, and transverse colon. We describe an 87-year-old male with a history of stage III RCC diagnosed three years ago, followed by left-sided nephroureterectomy, partial adrenalectomy, and perinephric lymph node dissection. He presented to the emergency department (ED) with melena and generalized abdominal pain for one week. Stool occult blood was positive. Computed tomography (CT) of the abdomen was significant for stable postsurgical changes related to prior left nephrectomy and colonic mass at the proximal descending colon. A colonoscopy revealed a necrotic appearing friable mass in the descending colon. The pathology of the mass revealed proliferated atypical cells positive for paired box 8 (PAX8), a cluster of differentiation 10 (CD10), RCC, and pan-cytokeratin and negative for caudal-type homeobox 2 (CDX2), thyroid transcription factor-1 (TTF-1), and a cluster of differentiation 68 (CD68), consistent with metastatic RCC.

Enhancing brain tumor diagnosis: an optimized CNN hyperparameter model for improved accuracy and reliability.

Hyperparameter tuning plays a pivotal role in the accuracy and reliability of convolutional neural network (CNN) models used in brain tumor diagnosis. These hyperparameters exert control over various aspects of the neural network, encompassing feature extraction, spatial resolution, non-linear mapping, convergence speed, and model complexity. We propose a meticulously refined CNN hyperparameter model designed to optimize critical parameters, including filter number and size, stride padding, pooling techniques, activation functions, learning rate, batch size, and the number of layers. Our approach leverages two publicly available brain tumor MRI datasets for research purposes. The first dataset comprises a total of 7,023 human brain images, categorized into four classes: glioma, meningioma, no tumor, and pituitary. The second dataset contains 253 images classified as "yes" and "no." Our approach delivers exceptional results, demonstrating an average 94.25% precision, recall, and F1-score with 96% accuracy for dataset 1, while an average 87.5% precision, recall, and F1-score, with accuracy of 88% for dataset 2. To affirm the robustness of our findings, we perform a comprehensive comparison with existing techniques, revealing that our method consistently outperforms these approaches. By systematically fine-tuning these critical hyperparameters, our model not only enhances its performance but also bolsters its generalization capabilities. This optimized CNN model provides medical experts with a more precise and efficient tool for supporting their decision-making processes in brain tumor diagnosis.

Light-Chain (AL) Cardiac Amyloidosis Presenting as Heart Failure With Reduced Ejection Fraction.

Systemic amyloidosis is caused by the extracellular deposition of misfolded proteins in various organs and usually leads to organ dysfunction. The two common subtypes include light-chain amyloidosis and transthyretin amyloidosis. Deposition of these proteins in the heart can lead to infiltrative and restrictive cardiomyopathy, commonly manifesting as heart failure with preserved ejection fraction. However, systolic heart failure with reduced ejection fraction is mainly seen in the advanced stages of the disease. Here, we present the case of a 53-year-old female who presented with new-onset heart failure with reduced ejection fraction with no prior symptoms or diagnosis of amyloidosis and diastolic dysfunction.

Advancing brain tumor detection: harnessing the Swin Transformer's power for accurate classification and performance analysis.

The accurate detection of brain tumors through medical imaging is paramount for precise diagnoses and effective treatment strategies. In this study, we introduce an innovative and robust methodology that capitalizes on the transformative potential of the Swin Transformer architecture for meticulous brain tumor image classification. Our approach handles the classification of brain tumors across four distinct categories: glioma, meningioma, non-tumor, and pituitary, leveraging a dataset comprising 2,870 images. Employing the Swin Transformer architecture, our method intricately integrates a multifaceted pipeline encompassing sophisticated preprocessing, intricate feature extraction mechanisms, and a highly nuanced classification framework. Utilizing 21 matrices for performance evaluation across all four classes, these matrices provide a detailed insight into the model's behavior throughout the learning process, furthermore showcasing a graphical representation of confusion matrix, training and validation loss and accuracy. The standout performance parameter, accuracy, stands at an impressive 97%. This achievement outperforms established models like CNN, DCNN, ViT, and their variants in brain tumor classification. Our methodology's robustness and exceptional accuracy showcase its potential as a pioneering model in this domain, promising substantial advancements in accurate tumor identification and classification, thereby contributing significantly to the landscape of medical image analysis.

Benign Pneumoperitoneum Following Mitral Valve Replacement.

The pneumoperitoneum refers to the presence of free air inside the abdominal cavity. This finding is usually a sequela of a gastrointestinal tract perforation. Still, in rare instances, it can present after cardiac surgery due to the proximity of the peritoneal cavity and pericardium, allowing air to enter the peritoneal cavity. Our patient was a 63-year-old female who initially presented for revision of the mitral valve replacement. A chest X-ray on postoperative day 13 revealed a 6.6 cm lucency under the right diaphragm suggestive of pneumoperitoneum. She was discharged after serial chest X-rays revealed a decrease in the size of the pneumoperitoneum. Twelve days later, our patient was readmitted, as another chest X-ray revealed that the size of the pneumoperitoneum was again increasing. An endoscopy was performed, but it did not reveal any lesions or etiology that would lead to a leak from the gastrointestinal tract. Finally, due to the benign nature of the pneumoperitoneum and the decrease in its size over the following days, we opted for conservative management, and she was discharged again. This case emphasizes the rare occurrence of benign pneumoperitoneum post-mitral valve surgery. While surgery may not always be required for asymptomatic cases, careful vigilance post-cardiac surgery remains crucial to detect potential abdominal complications promptly.

Enhanced Regularized Ensemble Encoderdecoder Network for Accurate Brain Tumor Segmentation.

BACKGROUND: Segmenting tumors in MRI scans is a difficult and time-consuming task for radiologists. This is because tumors come in different shapes, sizes, and textures, making them hard to identify visually. OBJECTIVE: This study proposes a new method called the enhanced regularized ensemble encoder-decoder network (EREEDN) for more accurate brain tumor segmentation. METHODS: The EREEDN model first preprocesses the MRI data by normalizing the intensity levels. It then uses a series of autoencoder networks to segment the tumor. These autoencoder networks are trained using back-propagation and gradient descent. To prevent overfitting, the EREEDN model also uses L2 regularization and dropout mechanisms. RESULTS: The EREEDN model was evaluated on the BraTS 2020 dataset. It achieved high performance on various metrics, including accuracy, sensitivity, specificity, and dice coefficient score. The EREEDN model outperformed other methods on the BraTS 2020 dataset. CONCLUSION: The EREEDN model is a promising new method for brain tumor segmentation. It is more accurate and efficient than previous methods. Future studies will focus on improving the performance of the EREEDN model on complex tumors.

The Clinical Manifestations and Disease Burden of Cystinosis in Saudi Arabia: A Single-Tertiary Center Experience.

BACKGROUND: There is a lack of regional and local evidence that describes the nature of cystinosis, a multiorgan accumulation of cystine, and its extent of organ damage. Therefore, this study aimed to determine the outcomes of cystinosis in patients who were followed up at a large tertiary care hospital. METHODS: Medical records of patients with cystinosis were retrospectively reviewed. Patients' baseline demographics, lab values, medications, comorbidities, and complications were collected and described. Univariable and multivariable logistics regression models were constructed to control for confounders and build prediction models. RESULTS: In our cohort of 39 patients, the mean age was 13.8±9.9 years. Approximately 56.4% of the patients had stunted growth, and the mortality rate was 25.6%. Regarding complications, the majority of patients developed myopathy (79.5%), end-stage renal disease (ESRD) (74.4%), and hypothyroidism (71.8%). Age (odds ratio=1.14, 95% confidence interval (95% CI): 1.012, 1.285) and stunted growth (odds ratio=6.62, 95% CI: 1.024, 42.835) were found to be predictors of renal replacement therapy and renal transplantation, respectively (p<0.047). CONCLUSION: This study on cystinosis patients reveals a high incidence of renal complications, with a significant mortality rate and common complications such as myopathy and ESRD. Age was found to be an independent risk factor for renal replacement therapy, while stunted growth predicted the need for transplantation. These findings underscore the urgency for early diagnosis, comprehensive treatment, and careful monitoring in managing cystinosis effectively.

Characteristics and Trends in Median Arcuate Ligament Syndrome (MALS) Associated Visceral Artery Aneurysms: A Systematic Descriptive Review of the Literature.

Introduction: Median Arcuate Ligament Syndrome (MALS) is associated with true aneurysms, mainly of both the pancreaticoduodenal artery (PDA) and gastroduodenal artery (GDA). Although rare, their potential for rupture and adverse clinical outcomes warrants analysis. Prior studies suggest high rupture rates even for smaller aneurysms under 2 cm in this setting. We performed a systematic literature review, synthesising the evidence on visceral artery aneurysms related to MAL syndrome, with a focus on descriptive analyses of aneurysm size, presentation, rupture rates, and management. Methods: Literature search was performed using (Medline, EMBASE, Emcare and CINAHL). Inclusion criteria included true aneurysms secondary to MALS with or without rupture. The cases with pseudoaneurysms, concomitant pathologies eg, pancreatitis, conservatively managed aneurysms and articles with non-granular pooled data were excluded. Cases were assessed according to demographics, clinical presentation, aneurysm diameter, aneurysm rupture and management technique. Results: 39 articles describing 72 patients were identified. Aneurysm diameter in symptomatic patients was not significantly different from asymptomatic patients {21.0 and 22.3 mm respectively, P = .84}. Ruptured aneurysms were overall smaller than non-ruptured at presentation {12.3 mm v 30.8 mm respectively, P = .02}. Patients presented with abdominal pain (75.6%), nausea/vomiting (15.6%), hypotension (33.9%), shock (20.0%) and haemodynamic collapse (8.9%). 56.9% of all cases were managed with an endovascular approach, 19.4% were managed with an open surgical approach, and 23.6% were managed hybrid. Conclusion: This review suggests visceral artery aneurysms associated with median arcuate ligament rupture at variable sizes. Despite inability to clearly correlate size and rupture risk, our data supports prompt intervention irrespective of size, given the adverse outcomes. Further research is critically needed to clarify size thresholds or other predictors to guide management.

Next-Gen brain tumor classification: pioneering with deep learning and fine-tuned conditional generative adversarial networks.

Brain tumor has become one of the fatal causes of death worldwide in recent years, affecting many individuals annually and resulting in loss of lives. Brain tumors are characterized by the abnormal or irregular growth of brain tissues that can spread to nearby tissues and eventually throughout the brain. Although several traditional machine learning and deep learning techniques have been developed for detecting and classifying brain tumors, they do not always provide an accurate and timely diagnosis. This study proposes a conditional generative adversarial network (CGAN) that leverages the fine-tuning of a convolutional neural network (CNN) to achieve more precise detection of brain tumors. The CGAN comprises two parts, a generator and a discriminator, whose outputs are used as inputs for fine-tuning the CNN model. The publicly available dataset of brain tumor MRI images on Kaggle was used to conduct experiments for Datasets 1 and 2. Statistical values such as precision, specificity, sensitivity, F1-score, and accuracy were used to evaluate the results. Compared to existing techniques, our proposed CGAN model achieved an accuracy value of 0.93 for Dataset 1 and 0.97 for Dataset 2.

A Rare Case of Primary Extra-Nodal Marginal Zone Lymphoma of Mucosa-Associated Lymphoid Tissue (MALT) in the Rectum.

Mucosa-associated lymphoid tissue (MALT) is a unique clinical condition that can manifest in different anatomic locations. In the gastrointestinal tract, it is typically seen in the stomach but is less commonly found in other sites. There have been a few cases in the literature in which primary MALT lymphoma is found in the rectum. We describe a case of a 63-year-old male who presented with rectal pain and bleeding. Colonoscopy revealed a rectal mass, which was excised with a trans-anal approach. Histopathological examination of the biopsy specimen was significant for MALT lymphoma. Therefore, the patient underwent radiation therapy followed by repeat colonoscopies to monitor disease recurrence.

The First Case of Daratumumab-Induced Fulminant Hepatic Failure.

Drug-induced liver failure is a relatively uncommon condition with a vast spectrum of clinical manifestations, and it is a leading cause of acute hepatic failure in the United States. We describe the first case of fulminant hepatic failure induced by chemotherapeutic drug daratumumab, a common FDA-approved agent. A 77-year-old male, with a history of multiple myeloma, was admitted for left lower extremity cellulitis, two weeks after receiving his first intravenous infusion of daratumumab. He developed fulminant hepatic failure in the hospital a few days later. Despite multiple doses of N-acetylcysteine, his liver function continued to decline, and he expired shortly after.

Complete transection of the inferior rectus following blunt trauma: a case report.

This report describes a rare case of complete transection of the inferior rectus resulting from blunt trauma to the orbit. Only eight other cases were identified in the literature. Computed tomography scans should be examined carefully for potential extraocular muscle injury.

Ileocecal Mesentery Arteriovenous Malformation as a Rare Cause of Ectopic Variceal Bleeding in a 58-Year-Old Male With Cirrhosis.

Ectopic varices can be defined as dilated portosystemic venous collaterals that are located at a site other than the esophagus or stomach. These varices can be seen in patients with underlying portal hypertension, but bleeding from them is quite rare. The bleeding usually occurs in patients with a history of intra-abdominal surgery and adhesions. These varices are commonly found in the duodenum or rectum, but they can be present anywhere along the gastrointestinal tract. Currently, there are no well-established guidelines regarding the diagnosis and management of these variceal bleeds, and further investigations with randomized controlled or large-scale trials are required. Here, we report an unusual case of ectopic variceal bleeding from an ileal arteriovenous malformation (AVM), which presented as syncope associated with an acute abdomen in a patient with no prior history of intra-abdominal surgery.

Advancing Brain Tumor Classification through Fine-Tuned Vision Transformers: A Comparative Study of Pre-Trained Models.

This paper presents a comprehensive study on the classification of brain tumor images using five pre-trained vision transformer (ViT) models, namely R50-ViT-l16, ViT-l16, ViT-l32, ViT-b16, and ViT-b32, employing a fine-tuning approach. The objective of this study is to advance the state-of-the-art in brain tumor classification by harnessing the power of these advanced models. The dataset utilized for experimentation consists of a total of 4855 images in the training set and 857 images in the testing set, encompassing four distinct tumor classes. The performance evaluation of each model is conducted through an extensive analysis encompassing precision, recall, F1-score, accuracy, and confusion matrix metrics. Among the models assessed, ViT-b32 demonstrates exceptional performance, achieving a high accuracy of 98.24% in accurately classifying brain tumor images. Notably, the obtained results outperform existing methodologies, showcasing the efficacy of the proposed approach. The contributions of this research extend beyond conventional methods, as it not only employs cutting-edge ViT models but also surpasses the performance of existing approaches for brain tumor image classification. This study not only demonstrates the potential of ViT models in medical image analysis but also provides a benchmark for future research in the field of brain tumor classification.