Publications by authors named "Markus Scheppach"

Background: The trend toward disposable products in gastrointestinal endoscopy, including single-use endoscopes, remains undeterred, even though crucial questions of sustainability and performance have not been sufficiently studied. The first single-use therapeutic gastroscope was recently approved in Europe, but clinical data to support its use are currently lacking. We aimed to evaluate the performance of this novel device in routine procedures requiring a large working channel.

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Background And Aims: Endoscopic hand suturing (EHS) is a new technique for the closure of mucosal defects in the GI tract. Although this method was tested for wound closure after endoscopic submucosal dissection (ESD) in Japan, a feasibility test in a Western setting is lacking. In this study, we present our first experience with EHS for different indications and in different anatomic locations.

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Article Synopsis
  • This study assessed how an AI clinical decision support system affected the diagnostic performance and confidence of endoscopists evaluating Barrett's esophagus (BE) using standardized endoscopy videos.
  • The study involved 22 endoscopists analyzing 96 videos, comparing assessments with and without the AI system for its impact on detecting Barrett's esophagus-related neoplasia (BERN).
  • Results indicated that while AI outperformed human experts in sensitivity, specificity, and accuracy, non-expert endoscopists showed notable improvement when using AI, suggesting that while AI can enhance decision-making, various factors may affect how endoscopists incorporate AI recommendations.
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Video 1Summary of the presented case. Macroscopic images of the lesion in a white-light endoscopy and narrow-band imaging and in an underwater view followed by scenes from the resection with circular marking, submucosal injection, circumferential incision, and submucosal dissection using a multi-bend double-channel endoscope, as well as clip traction, controlled full-thickness dissection, and inspection of the defect plus closure of the defect with the clip-and-loop technique.

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Background: The effect of computer-aided polyp detection (CADe) on adenoma detection rate (ADR) among endoscopists-in-training remains unknown.

Methods: We performed a single-blind, parallel-group, randomized controlled trial in Hong Kong between April 2021 and July 2022 (NCT04838951). Eligible subjects undergoing screening/surveillance/diagnostic colonoscopies were randomized 1:1 to receive colonoscopies with CADe (ENDO-AID[OIP-1]) or not (control) during withdrawal.

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Recent advancements in artificial intelligence have witnessed human-level performance; however, AI-enabled cognitive assistance for therapeutic procedures has not been fully explored nor pre-clinically validated. Here we propose AI-Endo, an intelligent surgical workflow recognition suit, for endoscopic submucosal dissection (ESD). Our AI-Endo is trained on high-quality ESD cases from an expert endoscopist, covering a decade time expansion and consisting of 201,026 labeled frames.

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BACKGROUND : Outbreaks of multidrug-resistant bacteria due to contaminated duodenoscopes and infection risks during the COVID-19 pandemic have driven the development of single-use endoscopes. The first single-use gastroscope is now available in Europe. Besides waste disposal and cost issues, the infection risk and performance remain unclear.

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Background And Aims: Celiac disease with its endoscopic manifestation of villous atrophy (VA) is underdiagnosed worldwide. The application of artificial intelligence (AI) for the macroscopic detection of VA at routine EGD may improve diagnostic performance.

Methods: A dataset of 858 endoscopic images of 182 patients with VA and 846 images from 323 patients with normal duodenal mucosa was collected and used to train a ResNet18 deep learning model to detect VA.

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In this study, we aimed to develop an artificial intelligence clinical decision support solution to mitigate operator-dependent limitations during complex endoscopic procedures such as endoscopic submucosal dissection and peroral endoscopic myotomy, for example, bleeding and perforation. A DeepLabv3-based model was trained to delineate vessels, tissue structures and instruments on endoscopic still images from such procedures. The mean cross-validated Intersection over Union and Dice Score were 63% and 76%, respectively.

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The cellular origins of glomerulosclerosis involve activation of parietal epithelial cells (PECs) and progressive podocyte depletion. While mammalian target of rapamycin-mediated (mTOR-mediated) podocyte hypertrophy is recognized as an important signaling pathway in the context of glomerular disease, the role of podocyte hypertrophy as a compensatory mechanism preventing PEC activation and glomerulosclerosis remains poorly understood. In this study, we show that glomerular mTOR and PEC activation-related genes were both upregulated and intercorrelated in biopsies from patients with focal segmental glomerulosclerosis (FSGS) and diabetic nephropathy, suggesting both compensatory and pathological roles.

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