Su1229 Definitions of the Endoscopic Lesions in Crohn's Disease: Reproductibility Study and GETAID Expert Consensus

Buisson, Anthony; Filippi, Jérôme; Amiot, Aurélien; Cadiot, Guillaume; Allez, Matthieu; Marteau, Philippe; Bouhnik, Yoram; Chambrun, Guillaume Pineton de; Pelletier, Anne-Laure; Nancey, Stéphane; Moussata, Driffa; Attar, Alain; Vuitton, Lucine; Vernier‐Massouille, Gwénola; Seksik, Philippe; Nachury, Maria; Dupas, Jean‐Louis; Peyrin–Biroulet, Laurent; Mary, Jean‐Yves; Louis, E

doi:10.1016/s0016-5085(15)31500-6

Cited by 5 publications

(4 citation statements)

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“…To design the first round, the CG first reviewed relevant U‐I terms described in the SB‐CE IBD scores 5,7 or in the papers of the digestive endoscopic terminology 15–17 . Moreover, to avoid confusion, the CG also considered the terms and definitions of U‐I lesions found during colonoscopy of IBD patients, as proposed by Groupe d’Etudes Thérapeutiques des Affections Inflammatoires du Tube Digestif (GETAID) 18 …”

Section: Patients Materials and Methodsmentioning

confidence: 99%

“…The working groups were constituted during the 24th United European Gastroenterology Week (15)(16)(17)(18)(19) October 2016, Vienna, Austria). The CG was composed of five French IBD specialists, with three of them also being SB-CE expert readers.…”

Section: Working Groups and Feedback Roundsmentioning

confidence: 99%

“…[15][16][17] Moreover, to avoid confusion, the CG also considered the terms and definitions of U-I lesions found during colonoscopy of IBD patients, as proposed by Groupe d'Etudes The´rapeutiques des Affections Inflammatoires du Tube Digestif (GETAID). 18 The CG proposed a selection of four typical SB-CE image frames, a nomenclature and a semantic description per specific type of SB U-I lesion. All selected frames were extracted from the multicentre French database CAD-CAP (computer-assisted diagnosis for capsule endoscopy).…”

Section: Proposals and Revisions Of Nomenclature And Semantic Descripmentioning

confidence: 99%

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Nomenclature and semantic descriptions of ulcerative and inflammatory lesions seen in Crohn’s disease in small bowel capsule endoscopy: An international Delphi consensus statement

et al. 2020

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Section: Patients Materials and Methodsmentioning

confidence: 99%

Section: Working Groups and Feedback Roundsmentioning

confidence: 99%

Section: Proposals and Revisions Of Nomenclature And Semantic Descripmentioning

confidence: 99%

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Nomenclature and semantic descriptions of ulcerative and inflammatory lesions seen in Crohn’s disease in small bowel capsule endoscopy: An international Delphi consensus statement

et al. 2020

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“…Relevance was defined as followed by a group of four SB-CE experts (FC, XD, GR, JCS). Fresh blood and clots [17], typical angiectasia [18] and ulcerated lesions [19] were considered "highly relevant" findings. Non-ulcerated but inflammatory findings (for instance erythema, edema, denudation) [20] were considered "moderately relevant" findings.…”

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confidence: 99%

CAD-CAP: a 25,000-image database serving the development of artificial intelligence for capsule endoscopy

Leenhardt

Mouel

et al. 2020

Endosc Int Open

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Background and study aims Capsule endoscopy (CE) is the preferred method for small bowel (SB) exploration. With a mean number of 50,000 SB frames per video, SBCE reading is time-consuming and tedious (30 to 60 minutes per video). We describe a large, multicenter database named CAD-CAP (Computer-Assisted Diagnosis for CAPsule Endoscopy, CAD-CAP). This database aims to serve the development of CAD tools for CE reading. Materials and methods Twelve French endoscopy centers were involved. All available third-generation SB-CE videos (Pillcam, Medtronic) were retrospectively selected from these centers and deidentified. Any pathological frame was extracted and included in the database. Manual segmentation of findings within these frames was performed by two pre-med students trained and supervised by an expert reader. All frames were then classified by type and clinical relevance by a panel of three expert readers. An automated extraction process was also developed to create a dataset of normal, proofread, control images from normal, complete, SB-CE videos. Results Four-thousand-one-hundred-and-seventy-four SB-CE were included. Of them, 1,480 videos (35 %) containing at least one pathological finding were selected. Findings from 5,184 frames (with their short video sequences) were extracted and delimited: 718 frames with fresh blood, 3,097 frames with vascular lesions, and 1,369 frames with inflammatory and ulcerative lesions. Twenty-thousand normal frames were extracted from 206 SB-CE normal videos. CAD-CAP has already been used for development of automated tools for angiectasia detection and also for two international challenges on medical computerized analysis.

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Medical Therapies for Stricturing Crohn’s Disease: Efficacy and Cross-Sectional Imaging Predictors of Therapeutic Failure

et al. 2017

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Su1229 Definitions of the Endoscopic Lesions in Crohn's Disease: Reproductibility Study and GETAID Expert Consensus

Cited by 5 publications

References 0 publications

Nomenclature and semantic descriptions of ulcerative and inflammatory lesions seen in Crohn’s disease in small bowel capsule endoscopy: An international Delphi consensus statement

Nomenclature and semantic descriptions of ulcerative and inflammatory lesions seen in Crohn’s disease in small bowel capsule endoscopy: An international Delphi consensus statement

CAD-CAP: a 25,000-image database serving the development of artificial intelligence for capsule endoscopy

Medical Therapies for Stricturing Crohn’s Disease: Efficacy and Cross-Sectional Imaging Predictors of Therapeutic Failure

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