Wallace, Michael B.

Background Complications of endoscopic mucosal resection (EMR) of large colorectal polyps remain a concern. Objective We aimed to compare safety and efficacy of cold EMR (without electrocautery) to hot EMR (with electrocautery) of large colorectal polyps. Design In this multicentre randomised trial, patients with any large (≥20 mm) non-pedunculated colon polyp were assigned to cold or hot EMR (primary intervention), and to submucosal injection with a viscous or non-viscous solution (secondary intervention) following a 2×2 design. The primary outcome was the rate of severe adverse events (SAEs). The secondary outcome was polyp recurrence. In this study, we report results of the primary intervention. Results 660 patients were randomised and analysed. An SAE was observed in 2.1% of patients in the cold EMR group and in 4.3% in the hot EMR group (p=0.10) (per protocol analysis 1.4 vs 5.0%, p=0.017) with fewer perforations following cold EMR (0%) compared with hot EMR (1.6%, p=0.028). Postprocedure bleeding did not differ (1.5% vs 2.2%, p=0.57). The effect of cold resection was independent of the type of submucosal injection solution, polyp size or antithrombotic medications. Recurrence was detected in 27.6% and 13.6% in the cold and hot EMR groups, respectively (p<0.001). Recurrence was not significantly different for 20–29 mm polyps (18.6% vs 13.4%, p=0.24) and for sessile serrated polyps (14.1% vs 8.5%, p=0.33). Conclusion Universal application of cold EMR did not significantly lower SAEs (unless cold EMR could be completed) and doubled the recurrence rate compared with hot EMR. Trial registration details ClinicalTrials.gov, number: NCT03865537 .

Pancreatic cystic lesions (PCLs) represent a spectrum of non-neoplasms and neoplasms with varying malignant potential, posing significant challenges in diagnosis and management. While some PCLs are precursors to pancreatic cancer, others remain benign, necessitating accurate differentiation for optimal patient care. Conventional approaches to PCL management rely heavily on radiographic imaging, and endoscopic ultrasound (EUS) guided fine-needle aspiration (FNA), coupled with clinical and biochemical data. However, the observer-dependent nature of image interpretation and the complex morphology of PCLs can lead to diagnostic uncertainty and variability in patient management strategies. This review critically evaluates current PCL diagnosis and surveillance practices, showing features of the different lesions and highlighting the potential limitations of conventional methods. We then explore the potential of artificial intelligence (AI) to transform PCL management. AI-driven strategies, including deep learning algorithms for automated pancreas and lesion segmentation, and radiomics for analyzing heterogeneity, can improve diagnostic accuracy and risk stratification. These advanced techniques can provide more objective and reproducible assessments, aiding clinicians in decision-making regarding follow-up intervals and surgical interventions. Early results suggest that AI-driven methods can significantly improve patient outcomes by enabling earlier detection of high-risk lesions and reducing unnecessary procedures for benign cysts. Finally, this review emphasizes that AI-driven approaches could potentially reshape the landscape of PCL management, ultimately leading to improved pancreatic cancer prevention.

Abstract Objective Metabolic dysfunction–associated steatotic liver disease (MASLD) and vasomotor symptoms (VMS) are associated with increased cardiovascular disease risk. Although visceral adiposity has been linked to MASLD and VMS independently, this study aimed to evaluate associations between the two in midlife women. Methods A cross-sectional study of women aged 45-60 years receiving primary care at one of four sites was conducted from March 1 through June 30, 2021. MASLD diagnosis was obtained utilizing the International Classification of Diseases , Ninth Revision and Tenth Revision codes. VMS burden was evaluated with the Menopause Rating Scale and categorized as severe/very severe versus none/mild/moderate. Logistic regression models were used to assess the association between VMS and diagnosed MASLD both univariately and after individually adjusting for several risk factors. Results A total of 4,599 women were included in the final analysis, 304 (7%) of whom had an MASLD diagnosis. On univariate analysis, women with an MASLD diagnosis were more likely to have severe/very severe VMS (odds ratio [OR], 1.50; 95% CI, 1.08-2.08; P = 0.015). However, the association between MASLD diagnosis and severe/very severe VMS was no longer statistically significant after individually adjusting for body mass index (adjusted OR, 1.36; 95% CI, 0.97-1.92) and hypertension (adjusted OR, 1.38; 95% CI, 0.99-1.93). Conclusions The relationship between MASLD and VMS appears to be best explained by other variables including BMI and hypertension. Although they do not appear to be directly linked, given the prevalence of bothersome VMS in midlife women, addressing VMS may enable greater adherence to lifestyle modifications as part of MASLD management.

Background Gastrointestinal cancers comprise nearly one-third of global mortality from cancer, yet the comprehensive global burden of these cancers remains uninvestigated. Objective We aimed to assess the global, regional and national burden of gastrointestinal cancers. Designs Data on oesophagus, gastric, colorectal, liver, pancreas and biliary tract cancers were extracted from the Global Burden of Disease 2021 database. Age-standardised incidence rate (ASIR) and age-standardised death rate (ASDR) were calculated by sex, region and Sociodemographic Index (SDI). Results In 2021, there were 5.26 million incidences and 3.70 million deaths from gastrointestinal cancer. The greatest burden is from colorectal, followed by gastric, oesophageal, pancreatic, liver and biliary tract cancer. We noted geographical and socioeconomic differences in ASIR and ASDR across all types of cancers. From 2000 to 2021, ASIR increased for colorectal cancer (annual percent change (APC): 0.10%, 95% CI 0.05% to 0.14%), pancreatic cancer (APC: 0.27%, 95% CI 0.14% to 0.41%), and liver cancer from metabolic dysfunction-associated steatotic liver disease (APC: 0.62%, 95% CI 0.58% to 0.67%) and alcohol-related liver disease (APC: 0.26%, 95% CI 0.22% to 0.30%). ASDR increased for pancreatic cancer (APC: 0.18%, 95% CI 0.02% to 0.34%). Higher SDI countries had higher incidence rates for most types of gastrointestinal cancer. Conclusions Although the ASIR of oesophageal, gastric and biliary tract cancer has decreased, the ASIR still increased in colorectal, pancreatic and liver cancer from steatotic liver disease. Public policies are important for controlling gastrointestinal cancers—most importantly, reducing alcohol consumption, hepatitis B immunisation and tackling the burden of metabolic diseases.

Background Piecemeal endoscopic mucosal resection (EMR) is an acceptable technique for T1a esophageal adenocarcinoma, but en bloc R0 excision is advocated for T1b disease as it may offer a potential cure and mitigate recurrence. Thus, distinguishing between T1a and T1b disease is imperative under current treatment paradigms. We investigated whether expert Barrett’s endoscopists could make this distinction based on optical evaluation. Methods Endoscopic images of histologically confirmed high grade dysplasia (HGD), T1a, and T1b disease (20 sets for each) were compiled from consecutive patients at a single institution. Each set contained four images including an overview, a close-up in high definition white light, a near-focus magnification image, and a narrow-band image. Experts predicted the histology for each set. Results 19 experts from 8 countries (Australia, USA, Italy, Netherlands, Germany, Canada, Belgium, and Portugal) participated. The majority had been practicing for > 20 years, with a median (interquartile range) annual case volume of 50 (18–75) for Barrett’s EMR and 25 (10–45) for Barrett’s endoscopic submucosal dissection. Esophageal adenocarcinoma (T1a/b) could be distinguished from HGD with a pooled sensitivity of 89.1 % (95 %CI 84.7–93.4). T1b adenocarcinoma could be predicted with a pooled sensitivity of 43.8 % (95 %CI 29.9–57.7). Fleiss’ kappa was 0.421 (95 %CI 0.399–0.442; P < 0.001), indicating fair-to-moderate agreement. Conclusions Expert Barrett’s endoscopists could reliably differentiate T1a/T1b esophageal adenocarcinoma from HGD. Despite fair-to-moderate agreement for T staging, T1b disease could not be reliably distinguished from T1a disease. This may impact clinical decision making and selection of endoscopic techniques.