Leggett, Cadman L

Introduction: Young-onset esophageal adenocarcinoma (EAC) often presents at advanced stages and is associated with poor outcomes. We aimed to examine the epidemiology of young-onset Barrett’s esophagus (BE) using the TriNetX database. Methods: Young-onset BE patients (age 18 to younger than 50 y) with esophagogastroduodenoscopy (EGD) within 1 year before index BE diagnosis between 2014 and 2023 were included. Negative binomial regression was used to evaluate incident-time trends, and logistic regression to assess for independent predictors of young-onset BE. Results: BE diagnosis was present in 76,691 (3.3%) of 2,337,786 patients that underwent EGD, of which 14,120 (18%) had prevalent young-onset BE. BE dysplasia/EAC was present in 6% of young-onset patients at initial diagnosis. Conventional BE risk factors also predicted young-onset BE: GERD (OR=2.4), White race (OR=2.4), male sex (OR=2.2), smoking (OR=1.2), and obesity (OR=1.1). Each additional risk factor increased the probability of BE prevalence by 74% in young patients versus 54% in older patients. The prevalence of young-onset BE was 4.5% with GERD and ≥3 additional risk factors, and 2.3% when ≥3 risk factors were present. Discussion: Young-onset BE accounts for 18% of all BE cases, demonstrates a striking 6% rate of dysplasia/neoplasia at initial diagnosis, and has a prevalence of 4.5% in those with GERD and ≥3 risk factors. These findings suggest that young-onset BE is an important patient population that merits further study. Additional studies are necessary to study the cost-effectiveness of BE screening in younger patients with multiple risk factors.

INTRODUCTION: Ongoing surveillance after successful endoscopic eradication therapy for Barrett's esophagus (BE)-related neoplasia is essential to detect and manage recurrence. Despite established surveillance interval recommendations after complete eradication of intestinal metaplasia (CE-IM), patient compliance with repeat endoscopy is frequently suboptimal. Understanding patient drivers to adherence is essential to inform interventions that address the high rates of overdue surveillance and loss to follow-up. METHODS: Patients with BE-related neoplasia who achieved CE-IM were eligible for inclusion and classified as delayed or on-time for endoscopic surveillance. Patients were prospectively enrolled and participated in structured virtual interviews designed to explore barriers and facilitators to on-time care. A rapid qualitative analysis approach was applied, continuing until thematic saturation was reached. RESULTS: Thirty-nine patients were interviewed: 22 (56.4%) were delayed, and 17 (43.6%) were on-time for surveillance. Patients in the delayed group had longer mean BE segment lengths and a higher prevalence of tobacco use. Geographic distance from the treatment center was the most frequently cited barrier to follow-up (n = 17; 43.5%). Other common barriers were access limitations, financial concerns, misunderstanding of disease course, and test-related anxiety. DISCUSSION: Patient-related drivers of delay in postendoscopic eradication therapy surveillance are largely logistical, socioeconomical, and psychological in nature. Solutions to reduce the significant burden on the patient and achieve timely surveillance may include transitioning patients back to their local endoscopists after CE-IM or incorporating nonendoscopic surveillance methods through patient centered approaches.

INTRODUCTION: The American College of Gastroenterology assembled a multidisciplinary task force to evaluate the current state and future direction of artificial intelligence (AI) in gastroenterology, hepatology, and endoscopy leading to the development of consensus-based recommendations for responsible AI integration in clinical practice. METHODS: A total of 32 subject-matter experts and 12 industry partners, representing diverse practice settings and expertise, conducted subgroup literature reviews across 5 key areas (endoscopy, practice management clinical applications, training and education, inflammatory bowel disease and liver disease, ethics and equity). Draft statements were developed and rated on a 5-point Likert scale using a modified Delphi process. A consensus was set at ≥70% combined agreement. Nonconsensus items were revised and revoted electronically. RESULTS: A total of 43 statements, 40 (93%) reached consensus in round 1 and the remaining 3 achieved consensus after round 2. Evidence supports computer-aided detection improving adenoma detection rate and miss rate in controlled studies, with mixed real-world impact and insufficient long-term outcomes (e.g., interval colon cancer rate). Recommendations emphasize thorough validation and reduction of bias by heterogeneous Data sets. Outside endoscopy, ambient AI scribes, natural language processing (NLP)-enabled coding, workflow optimization, and previous authorization support show potential. Training recommendations endorse a structured AI curriculum while preserving independent procedural competence to avoid deskilling. In inflammatory bowel disease and hepatology, AI could help improve diagnostic accuracy, help predict risk of disease progression, and help guide therapy. Equity, governance, and reimbursement statements call for chain-of-custody data protections, specialty-society oversight, and payment models that reward quality and cost reduction. DISCUSSION: This consensus outlines how AI can augment rather than replace clinical expertise while promoting safety, transparency, interoperability, and equity. Priorities include pragmatic and prospective trials, multi-institutional data-sharing consortia, bias mitigation, and workforce training to enable trustworthy and clinically impactful AI adoption in gastroenterology, liver, and endoscopy care.

Abstract Colorectal cancer incidence and mortality have declined over time, due in part to high-quality screening and surveillance colonoscopy. Nevertheless, postcolonoscopy colorectal cancer (PCCRC) occurs in up to 7% of cases and is inversely related to examination quality. Artificial intelligence-assisted colonoscopy aims to improve performance metrics and, ultimately, patient outcomes. Multiple randomized trials show that computer-aided polyp detection (CADe) increases adenoma detection, predominantly for diminutive lesions (≤5 mm). Computer-aided polyp characterization (CADx) enables real-time optical diagnosis, potentially shifting management of diminutive polyps by supporting resect-and-discard and diagnose-and-leave in situ strategies. Computer-aided quality assessment (CAQ) systems monitor key metrics—including cecal intubation rate, withdrawal time, speed, and mucosal exposure. Whether CADe alone leads to a reduction in PCCRC or cancer-related mortality remains to be determined; in the near term, a combined approach using CADe, CADx, and CAQ is most likely to deliver the greatest improvements in patient outcomes.

Goals: A systematic review and meta-analysis of published clinical validity studies was conducted to evaluate the predictive performance of the TSP-9 test. Background: Identifying patients with Barrett’s esophagus (BE) who will progress to high-grade dysplasia (HGD) or esophageal adenocarcinoma (EAC) is challenging. The tissue systems pathology (TSP-9) test can predict risk of progression to HGD/EAC in BE patients. Study: Databases were searched for studies that assessed the clinical validity of TSP-9, and data describing progressors, non-progressors, TSP-9 results, and hazard ratios (HR) with 95% confidence intervals (CIs) were extracted. Odds ratios (OR), sensitivity, specificity, and prevalence-adjusted positive and negative predictive values (PPV adj /NPV adj ) were calculated and used for meta-analysis. Results: Six studies met eligibility criteria, comprising 699 patients. ORs and HRs for TSP-9 had mean common effect size estimates of 6.52 (95% CI: 4.40-9.66, P <0.0001, I 2 =33%) and 6.66 (95% CI: 4.59-9.66, P <0.0001, I 2 =0%), respectively, for predicting progression to HGD/EAC. Mean common effect size estimates were 61% (95% CI: 54%-68%) for sensitivity, 81% (95% CI: 78%-84%) for specificity, 28% (95% CI: 17%-42%) for PPV adj (high risk), 14% (95% CI: 9%-21%) for PPV adj (high/int risk), and 97% (95% CI: 96%-98%) for NPV adj with minimal inter-study heterogeneity ( I 2 =79%, 21%, 0%, 0%, and 0%, respectively). Conclusions: Effect estimates of TSP-9 performance demonstrate that the test provides risk stratification for BE patients. The TSP-9 test can provide clinically impactful results to enable escalation of care for high-risk patients or to identify low-risk patients who can be safely managed with routine surveillance.

Abstract Aberrant DNA methylation and copy-number alterations (CNA) drive Barrett’s esophagus progression to esophageal adenocarcinoma; however, their combined utility for early detection is unclear. We aimed to identify and validate methylated DNA markers (MDM) and CNAs to distinguish esophageal adenocarcinoma/high-grade dysplasia (HGD) from nondysplastic Barrett’s esophagus (NDBE). In this multiphase, multicenter study, we discovered and validated MDMs and quantified CNAs utilizing whole-genome methylation sequencing of esophageal brushings. DNA biomarkers identified from discovery were further validated in independent patients with paired esophageal brushing and swallowed capsule sponge samples. MDMs were filtered against a reduced representation bisulfite sequencing dataset obtained from independent tissue samples to advance only concordant candidates. CNA burden was quantified using ichorCNA-derived aneuploidy scores (AS). Two hundred MDMs discovered in HGD (N = 18) and esophageal adenocarcinoma (N = 18) versus NDBE brushing samples (N = 18) were tested in independent samples (N = 146). A 52-MDM panel achieved a cross-validated AUC of 0.88 [95% confidence interval (CI), 0.82–0.95]; the addition of AS improved discrimination of HGD/esophageal adenocarcinoma from NDBE to 0.91 (95% CI, 0.86–0.97) AUC. At 80% specificity, the combined model detected 93% of esophageal adenocarcinoma and 88% of HGD cases. In paired capsule sponge samples, a 58-MDM panel achieved a cross-validated AUC of 0.77 (95% CI, 0.66–0.88); a combined 58-MDM and AS model achieved AUC 0.80 (95% CI, 0.7–0.9). MDMs and AS discerned HGD/esophageal adenocarcinoma from normal esophagus/NDBE in endoscopic brushing and capsule sponge samples. This approach may improve Barrett’s esophagus surveillance. Prevention Relevance: This study demonstrates that combining epigenetic and genomic biomarkers across minimally invasive sampling methods can accurately distinguish HGD/esophageal adenocarcinoma from nondysplastic Barrett’s esophagus, offering promising, less invasive strategies to improve BE surveillance and enable endoscopic therapy for esophageal adenocarcinoma prevention and treatment.

ABSTRACTBackgroundAchalasia is associated with an increased risk of esophageal cancer; though reported incidence rates vary widely (0.4% to 9.2%) due to differences in demographics, follow‐up duration, and diagnostic methods. This study evaluates the risk of esophageal cancer and Barrett's esophagus (BE) in achalasia using a large national database and a propensity‐matched control cohort.MethodsAchalasia patients were identified utilizing the TriNetX database based on International Classification of Diseases (ICD) and Current Procedural Terminology (CPT) codes for diagnostic procedures and lower esophageal sphincter (LES) directed therapies, including Heller myotomy, peroral endoscopic myotomy, and pneumatic dilation. A matched control group of celiac disease patients was used. A 1‐year lead time was applied to exclude secondary malignant achalasia. Outcomes included the incidence of esophageal cancer and BE, with subgroup analysis in patients following therapy.ResultsAmong 7863 achalasia patients (mean age 58.0, 51.9% female), the esophageal cancer risk was significantly higher than control (risk ratio 2.87, 95% CI: 1.56–5.27, p < 0.001). The absolute risk was low, with 40 cases (0.51%) over a mean follow‐up of 3.18 years. BE risk was also higher in achalasia (risk ratio 1.54, 95% CI: 1.24–1.90, p < 0.001), with 220 cases (2.80%). Subgroup analysis revealed no significant difference in BE risk between POEM and Heller myotomy (risk ratio 1.0, 95% CI: 0.42–2.40, p > 0.99).DiscussionThe elevated cancer risk in achalasia over a short follow‐up period warrants reconsideration of current endoscopic surveillance guidelines, despite the low absolute risk of esophageal cancer and BE.

ABSTRACT Background Functional lumen imaging probe (FLIP) utility is established in treatment‐naïve achalasia but less clear following lower esophageal sphincter (LES) directed therapy. Methods Achalasia patients with LES directed therapy across three tertiary care centers between 2017 and 2024 with post‐treatment FLIP and timed barium esophagram (TBE) were retrospectively identified. Reduced esophagogastric junction (EGJ) opening was defined by distensibility index (DI) < 2 mm 2 /mmHg and diameter < 12 mm. Abnormal emptying on TBE was defined as column height ≥ 5 cm at 5 min and/or retained tablet. Eckardt scores ≤ 3 defined clinical response. Key Results The study included 222 patients (46% peroral endoscopic myotomy, 46% laparoscopic Heller myotomy, 8% pneumatic dilation) with a median of 1.4 years to post‐treatment TBE/FLIP. Abnormal emptying on TBE was associated with a narrower median EGJ diameter (13.2 vs. 14.8 mm, p = 0.008), a greater frequency of EGJ diameter < 12 mm (36% vs. 21%, p = 0.012), and a smaller change in EGJ diameter (+4.6 vs. +8.6 mm, p = 0.002). Abnormal emptying on TBE occurred more frequently in patients with EGJ DI < 2 mm 2 /mmHg (8.5% vs. 2.6%, p = 0.052), but was not associated with median EGJ DI (4.5 vs. 5.1 mm 2 /mmHg, p = 0.29) nor median change in EGJ DI (+2.9 vs. +3.9 mm 2 /mmHg, p = 0.25). Patients with reduced EGJ DI or EGJ diameter more often had abnormal TBE (37% vs. 22%, p = 0.012). Only the change in DI (+3.8 vs. +1.5 mm 2 /mmHg, p = 0.012) and diameter (+8.2 vs. +1.6 mm, p = 0.002) on FLIP was associated with a clinical response based on Eckardt ≤ 3. Conclusions and Inferences FLIP following achalasia therapy generally correlates with TBE, although discrepant findings are not uncommon. In particular, FLIP EGJ‐diameter has a strong association with esophageal emptying on TBE. Both TBE and FLIP have limited association with clinical response based on Eckardt, with change in DI and diameter on FLIP most strongly associated. Consequently, FLIP as part of multimodal assessment appears useful in the longitudinal follow‐up of treated achalasia.

AbstractEndoscopic eradication therapy (EET) is recommended for the management of dysplastic Barrett’s esophagus (BE) and intramucosal adenocarcinoma. Both radiofrequency (RFA) and cryoballoon ablation (CBA) can induce complete remission of intestinal metaplasia (CRIM). We aimed to compare long-term durability following CRIM in patients treated with RFA vs. CBA.We conducted a retrospective cohort study to analyze patient outcomes following EET with RFA or CBA at two referral centers. We measured and compared the recurrence rate of BE, with or without dysplasia, after CRIM, using Cox proportional hazard models and propensity score-matched analyses. Our secondary aim was to identify predictors of recurrence.681 patients who achieved CRIM were included (RFA 610; CBA 71), with median follow-up of 4.1 years and 4.4 years following RFA and CBA, respectively. A multivariable model revealed a higher risk of any recurrence with RFA (hazard ratio [HR] 2.19, 95%CI 1.18–4.06; P = 0.01), but not dysplastic recurrence (HR 0.88, 95%CI 0.39–1.97; P = 0.75). However, a comparable risk of “any recurrence” was observed after excluding intestinal metaplasia of the gastroesophageal junction (HR 1.18, 95%CI 0.61–2.30; P = 0.62). Propensity score-matched analysis (54 cases in each group) showed that the two groups had comparable recurrence risk. Baseline maximum BE length was associated with a higher risk of any recurrence (HR 1.07; P<0.001) and dysplastic recurrence (HR 1.11; P = 0.001).The rates of any BE recurrence and dysplastic recurrence were comparable with the two modalities in this nonrandomized study.

INTRODUCTION: The risk of progression to esophageal adenocarcinoma in Barrett's esophagus (BE) increases with advancing degrees of dysplasia. There is a critical need to improve the diagnosis of BE dysplasia, given substantial interobserver variability and overcalls of dysplasia during manual community pathologist reads. We aimed to externally validate a previously cross-validated BE dysplasia diagnosis deep learning model (BEDDLM) that predicts dysplasia grade on whole slide images (WSIs). METHODS: We digitized nondysplastic BE (NDBE), low-grade (LGD), and high-grade dysplasia (HGD) histology slides from 3 external academic centers. A consensus read by 2 expert study pathologists was used as the criterion standard. Slide stain characteristics were normalized using cycle-generative adversarial networks. WSIs were assessed by BEDDLM using an ensemble approach, combining a “You Only Look Once” model followed by a ResNet101 classifier model. RESULTS: We included 489 WSIs. Consensus histopathology revealed 232 NDBE, 117 LGD, and 140 HGD WSIs. The mean age (SD) was 66.9 (11.4) years; 413 (84.7%) were men. Using the BEDDLM ensemble model, sensitivity and specificity for NDBE were 73.3% (95% confidence interval [CI]: 67.09%–78.85%) and 93.4% (95% CI: 89.62%–96.10%); for LGD, 84.6% (95% CI: 76.78%–90.62%) and 80.6% (95% CI: 76.26%–84.54%); and for HGD, 80.7% (95% CI: 73.19%–86.89%) and 94.8% (95% CI: 91.97%–96.91%), respectively. The F1 score was 0.81, 0 0.69, and 0.83 for NDBE, LGD, and HGD, respectively. DISCUSSION: Our externally validated deep learning model demonstrates substantial accuracy for the diagnosis of BE dysplasia grade on WSIs.