Endoscopists performance in optical diagnosis of colorectal polyps in artificial intelligence studies.

artificial intelligence colonoscopy endoscopist performance human factor polyp characterization polyp detection

Journal

United European gastroenterology journal
ISSN: 2050-6414
Titre abrégé: United European Gastroenterol J
Pays: England
ID NLM: 101606807

Informations de publication

Date de publication:
10 2022
Historique:
received: 15 03 2022
accepted: 18 07 2022
pubmed: 20 8 2022
medline: 15 10 2022
entrez: 19 8 2022
Statut: ppublish

Résumé

Widespread adoption of optical diagnosis of colorectal neoplasia is prevented by suboptimal endoscopist performance and lack of standardized training and competence evaluation. We aimed to assess diagnostic accuracy of endoscopists in optical diagnosis of colorectal neoplasia in the framework of artificial intelligence (AI) validation studies. Literature searches of databases (PubMed/MEDLINE, EMBASE, Scopus) up to April 2022 were performed to identify articles evaluating accuracy of individual endoscopists in performing optical diagnosis of colorectal neoplasia within studies validating AI against a histologically verified ground-truth. The main outcomes were endoscopists' pooled sensitivity, specificity, positive and negative predictive value (PPV/NPV), positive and negative likelihood ratio (LR) and area under the curve (AUC for sROC) for predicting adenomas versus non-adenomas. Six studies with 67 endoscopists and 2085 (IQR: 115-243,5) patients were evaluated. Pooled sensitivity and specificity for adenomatous histology was respectively 84.5% (95% CI 80.3%-88%) and 83% (95% CI 79.6%-85.9%), corresponding to a PPV, NPV, LR+, LR- of 89.5% (95% CI 87.1%-91.5%), 75.7% (95% CI 70.1%-80.7%), 5 (95% CI 3.9%-6.2%) and 0.19 (95% CI 0.14%-0.25%). The AUC was 0.82 (CI 0.76-0.90). Expert endoscopists showed a higher sensitivity than non-experts (90.5%, [95% CI 87.6%-92.7%] vs. 75.5%, [95% CI 66.5%-82.7%], p < 0.001), and Eastern endoscopists showed a higher sensitivity than Western (85%, [95% CI 80.5%-88.6%] vs. 75.8%, [95% CI 70.2%-80.6%]). Quality was graded high for 3 studies and low for 3 studies. We show that human accuracy for diagnosis of colorectal neoplasia in the setting of AI studies is suboptimal. Educational interventions could benefit by AI validation settings which seem a feasible framework for competence assessment.

Identifiants

pubmed: 35984903
doi: 10.1002/ueg2.12285
pmc: PMC9557953
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

817-826

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2022 The Authors. United European Gastroenterology Journal published by Wiley Periodicals LLC. on behalf of United European Gastroenterology.

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Auteurs

Silvia Pecere (S)

Digestive Endoscopy Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Centre for Endoscopic Research Therapeutics and Training (CERTT), Università Cattolica del Sacro Cuore, Rome, Italy.

Giulio Antonelli (G)

Department of Anatomical, Histological, Forensic Medicine and Orthopedics Sciences, "Sapienza" University of Rome, Rome, Italy.
Gastroenterology and Digestive Endoscopy Unit, Ospedale dei Castelli Hospital, Rome, Italy.

Mario Dinis-Ribeiro (M)

CIDES/CINTESIS, Faculty of Medicine, University of Porto, Porto, Portugal.

Yuichi Mori (Y)

Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway.
Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.

Cesare Hassan (C)

Department of Biomedical Sciences, Humanitas University, Milan, Italy.
Department of Gastroenterology, IRCCS Humanitas Research Hospital, Milan, Italy.

Lorenzo Fuccio (L)

Department of Medical and Surgical Sciences (DIMEC), University of Bologna, S. Orsola-Malpighi Hospital, Bologna, Italy.

Raf Bisschops (R)

Department of Gastroenterology and Hepatology, University Hospitals Leuven, TARGID, KU Leuven, Belgium.

Guido Costamagna (G)

Digestive Endoscopy Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Centre for Endoscopic Research Therapeutics and Training (CERTT), Università Cattolica del Sacro Cuore, Rome, Italy.

Eun Hyo Jin (EH)

Department of Internal Medicine, Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea.

Dongheon Lee (D)

Department of Biomedical Engineering, College of Medicine, Chungnam National University and Hospital, Daejeon, South Korea.

Masashi Misawa (M)

Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.

Helmut Messmann (H)

III Medizinische Klinik, Universitatsklinikum Augsburg, Augsburg, Germany.

Federico Iacopini (F)

Gastroenterology and Digestive Endoscopy Unit, Ospedale dei Castelli Hospital, Rome, Italy.

Lucio Petruzziello (L)

Digestive Endoscopy Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Centre for Endoscopic Research Therapeutics and Training (CERTT), Università Cattolica del Sacro Cuore, Rome, Italy.

Alessandro Repici (A)

Department of Biomedical Sciences, Humanitas University, Milan, Italy.

Yutaka Saito (Y)

Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.

Prateek Sharma (P)

Department of Gastroenterology and Hepatology, University of Kansas Medical Center, Kansas City, Kansas, USA.

Masayoshi Yamada (M)

Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.

Cristiano Spada (C)

Centre for Endoscopic Research Therapeutics and Training (CERTT), Università Cattolica del Sacro Cuore, Rome, Italy.
Fondazione Poliambulanza, Brescia, Italy.

Leonardo Frazzoni (L)

Department of Medical and Surgical Sciences (DIMEC), University of Bologna, S. Orsola-Malpighi Hospital, Bologna, Italy.

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