Artificial intelligence assisted endoscopic ultrasound for detection of pancreatic space-occupying lesion: a systematic review and meta-analysis.

BACKGROUND: Diagnosing pancreatic lesions, including chronic pancreatitis, autoimmune pancreatitis, and pancreatic cancer, poses a challenge and, as a result, is time-consuming. To tackle this issue, artificial intelligence (AI) has been increasingly utilized over the years. AI can analyze large data sets with heightened accuracy, reduce interobserver variability, and can standardize the interpretation of radiologic and histopathologic lesions. Therefore, this study aims to review the use of AI in the detection and differentiation of pancreatic space-occupying lesions and to compare AI-assisted endoscopic ultrasound (EUS) with conventional EUS in terms of their detection capabilities. METHODS: Literature searches were conducted through PubMed/Medline, SCOPUS, and Embase to identify studies eligible for inclusion. Original articles, including observational studies, randomized control trials, systematic reviews, meta-analyses, and case series specifically focused on AI-assisted EUS in adults, were included. Data were extracted and pooled, and a meta-analysis was conducted using Meta-xl. For results exhibiting significant heterogeneity, a random-effects model was employed; otherwise, a fixed-effects model was utilized. RESULTS: A total of 21 studies were included in the review with four studies pooled for a meta-analysis. A pooled accuracy of 93.6% (CI 90.4-96.8%) was found using the random-effects model on four studies that showed significant heterogeneity ( P <0.05) in the Cochrane's Q test. Further, a pooled sensitivity of 93.9% (CI 92.4-95.3%) was found using a fixed-effects model on seven studies that showed no significant heterogeneity in the Cochrane's Q test. When it came to pooled specificity, a fixed-effects model was utilized in six studies that showed no significant heterogeneity in the Cochrane's Q test and determined as 93.1% (CI 90.7-95.4%). The pooled positive predictive value which was done using the random-effects model on six studies that showed significant heterogeneity was 91.6% (CI 87.3-95.8%). The pooled negative predictive value which was done using the random-effects model on six studies that showed significant heterogeneity was 93.6% (CI 90.4-96.8%). CONCLUSION: AI-assisted EUS shows a high degree of accuracy in the detection and differentiation of pancreatic space-occupying lesions over conventional EUS. Its application may promote prompt and accurate diagnosis of pancreatic pathologies.

Advanced gastric neuroendocrine tumor with hepatic metastasis - A case report.

INTRODUCTION AND IMPORTANCE: Gastric neuroendocrine tumors (NETs) are rare neoplasms that originate from enterochromaffin cells in the gastric mucosa and pose a diagnostic dilemma due to their non-specific presentation. CASE PRESENTATION: We present a 79-year-old woman, who came with complaints of abdominal pain associated with loss of pain and appetite. Although on the first look multiple differentials could be listed, upon complete evaluation she was diagnosed to have type III Gastric NET. Histopathology and immunohistochemistry allowed diagnostic confirmation of the disease along with strong clinical suspicion. The patient however succumbed to the illness due to advanced disease and lack of established protocol for its management. CLINICAL DISCUSSION: The treatment of Gastric NETs primarily involves surgical resection of the tumor and is especially helpful in type I and II cases. For advanced metastatic type III NETs, lines of therapy have not been established although surgical resection can be done if the majority (∼90 %) of the tumor is resectable. Patients should be given a choice in decision making and newer drug therapies should always be considered. CONCLUSION: Since gastric NETs are a rarer cause of abdominal pain, it can often be overlooked in favor of other, more common differentials. One should be aware of this disease and the newer diagnostic methods to have any sort of clinical suspicion when presented with such a scenario. The management of the condition although not been established, novel therapies should be considered if the tumor is not resectable.

Hilar tuberculosis versus Klatskin tumour: a diagnostic challenge.

Hepatobiliary tuberculosis is a rare condition causing obstructive jaundice either by enlarged lymph nodes around the bile ducts or involvement of biliary epithelium by the tuberculous process. Since a tissue diagnosis is not mandatory to proceed with the resection or initiation of a liver transplant protocol, benign lesions are occasionally misdiagnosed as hilar cholangiocarcinoma. Here, we present a case of hepatobiliary tuberculosis which presented as obstructive jaundice due to hilar obstruction. The mass causing the obstruction was then later found to be a pseudotumour, typical of tuberculosis. This diagnosis meant that extensive surgical resection as a protocol for cholangiocarcinoma was avoided. The patient recovered completely after a course of antitubercular therapy.

Authorship diversity in Gastroenterology-related Cochrane systematic reviews: Inequities in global representation.

The need for promoting diversity and equitable authorship representation in academics faces increasing recognition, with some articles pointing out the lack of diversity in specific fields. Currently, there are no such articles scrutinizing the author diversity in the field of Gastroenterology. Cochrane systematic reviews are perceived worldwide to be amongst the highest quality of evidence available, thereby its conclusions often impact policy and practice globally. However, little is known about the current state of authorship diversity in Gastroenterology-related Cochrane reviews.