ArticleEndoscopic ultrasound
Exploration of an effective training system for the diagnosis of pancreatobiliary diseases with EUS: A prospective study.
Article in Endoscopic ultrasound. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06279546 (Comparative Evaluation of Artificial Intelligence and Endoscopists´ Accuracy in Endoscopic Ultrasound for Identifying Normal Anatomical Structures), which is not on this map. Cited by 5 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Comparative Evaluation of Artificial Intelligence and Endoscopists´ Accuracy in Endoscopic Ultrasound for Identifying Normal Anatomical Structures: A Multi-institutional, Cross-sectional Study
Who cites it
5 citing papers in PubMed, 13 citations in OpenAlex.
- Development and clinical validation of a novel deep learning-based mediastinal endoscopic ultrasound navigation system for quality control: a single-center, randomized controlled trial.International journal of surgery (London, England) · 2026Trial
- Development and validation of a SOTA-based system for biliopancreatic segmentation and station recognition system in EUS.Surgical endoscopy · 2025Article
- Endoscopic diagnosis and treatment of gastric dysplasia and early cancer: Current evidence and what the future may hold.World journal of gastroenterology · 2021Review
- Defining medical simulators for simulation-based education in EUS: Theoretical approach and a narrative review.Endoscopic ultrasoundReview
- Training and certification of EUS operators in China.Endoscopic ultrasoundArticle
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveThere are limited data on multistage-based training programs focused on EUS. We aimed to explore an effective training system for diagnosing pancreaticobiliary diseases with EUS. MATERIALS AND
methodsNine advanced endoscopy trainees (AETs) with less EUS experience from nine institutions were recruited. The training system consisted of multiple stages and multi-teaching methods, including biliopancreatic standard scanning, anatomy and imaging knowledge, simulator, hands-on operations, error correction, and case analysis over a 12-month training period. Grading for technical and cognitive skills was assessed using The EUS Skills Assessment Tool.
resultsAfter training, the overall scores for radial (4.16 ± 0.21 vs. 1.46 ± 0.16, P < 0.01) and linear (4.43 ± 0.20 vs. 1.63 ± 0.23, P < 0.01) scanning were significantly improved. The aortopulmonary window/mediastinum station can be learned more easily by AETs compared with other stations (P = 0023). The scanning of the descending part of the duodenum seemed to improve the slowest after training (P = 0.0072), indicating that the descending part of the duodenum can be more difficult and should be the focus of training. Every teaching method heightened EUS competence, especially case analysis and hands-on operations. AETs achieved equivalent EUS competence after training despite their initial experience. Through a poststudy questionnaire, it was found that all AETs strongly agreed they were satisfied with the training system, and their confidence was greatly enhanced when EUS was performed independently.
conclusionsThe current multistage and multi-methods training system showed efficient performance in the cognitive and technical competence of EUS. Descending part of duodenum scanning was difficult for beginners and should be the focus of training.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.