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Artificial intelligence and colonoscopy experience: lessons from two randomised trials.
Repici, Alessandro; Spadaccini, Marco; Antonelli, Giulio; Correale, Loredana; Maselli, Roberta; Galtieri, Piera Alessia; Pellegatta, Gaia; Capogreco, Antonio; Milluzzo, Sebastian Manuel; Lollo, Gianluca; Di Paolo, Dhanai; Badalamenti, Matteo; Ferrara, Elisa; Fugazza, Alessandro; Carrara, Silvia; Anderloni, Andrea; Rondonotti, Emanuele; Amato, Arnaldo; De Gottardi, Andrea; Spada, Cristiano; Radaelli, Franco; Savevski, Victor; Wallace, Michael B; Sharma, Prateek; Rösch, Thomas; Hassan, Cesare.
Afiliación
  • Repici A; Department of Biomedical Sciences, Humanitas University, Milan, Italy alessandro.repici@hunimed.eu.
  • Spadaccini M; Endoscopy Unit, Humanitas Clinical and Research Center IRCCS, Rozzano, Italy.
  • Antonelli G; Department of Biomedical Sciences, Humanitas University, Milan, Italy.
  • Correale L; Endoscopy Unit, Humanitas Clinical and Research Center IRCCS, Rozzano, Italy.
  • Maselli R; Gastroenterology and Digestive Endoscopy Unit, Ospedale Nuovo Regina Margherita, Roma, Italy.
  • Galtieri PA; Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy.
  • Pellegatta G; Endoscopy Unit, Humanitas Clinical and Research Center IRCCS, Rozzano, Italy.
  • Capogreco A; Department of Biomedical Sciences, Humanitas University, Milan, Italy.
  • Milluzzo SM; Endoscopy Unit, Humanitas Clinical and Research Center IRCCS, Rozzano, Italy.
  • Lollo G; Endoscopy Unit, Humanitas Clinical and Research Center IRCCS, Rozzano, Italy.
  • Di Paolo D; Endoscopy Unit, Humanitas Clinical and Research Center IRCCS, Rozzano, Italy.
  • Badalamenti M; Department of Biomedical Sciences, Humanitas University, Milan, Italy.
  • Ferrara E; Endoscopy Unit, Humanitas Clinical and Research Center IRCCS, Rozzano, Italy.
  • Fugazza A; Digestive Endoscopy Unit, Poliambulanza Brescia Hospital, Brescia, Lombardia, Italy.
  • Carrara S; Department of Gastroenterology and Hepatology, Università della Svizzera Italiana, Lugano, Switzerland.
  • Anderloni A; Division of Digestive Endoscopy and Gastroenterology, Valduce Hospital, Como, Italy.
  • Rondonotti E; Endoscopy Unit, Humanitas Clinical and Research Center IRCCS, Rozzano, Italy.
  • Amato A; Endoscopy Unit, Humanitas Clinical and Research Center IRCCS, Rozzano, Italy.
  • De Gottardi A; Endoscopy Unit, Humanitas Clinical and Research Center IRCCS, Rozzano, Italy.
  • Spada C; Endoscopy Unit, Humanitas Clinical and Research Center IRCCS, Rozzano, Italy.
  • Radaelli F; Endoscopy Unit, Humanitas Clinical and Research Center IRCCS, Rozzano, Italy.
  • Savevski V; Division of Digestive Endoscopy and Gastroenterology, Valduce Hospital, Como, Italy.
  • Wallace MB; Division of Digestive Endoscopy and Gastroenterology, Valduce Hospital, Como, Italy.
  • Sharma P; Department of Gastroenterology and Hepatology, Università della Svizzera Italiana, Lugano, Switzerland.
  • Rösch T; Digestive Endoscopy Unit, Poliambulanza Brescia Hospital, Brescia, Lombardia, Italy.
  • Hassan C; Division of Digestive Endoscopy and Gastroenterology, Valduce Hospital, Como, Italy.
Gut ; 71(4): 757-765, 2022 04.
Article en En | MEDLINE | ID: mdl-34187845
ABSTRACT
BACKGROUND AND

AIMS:

Artificial intelligence has been shown to increase adenoma detection rate (ADR) as the main surrogate outcome parameter of colonoscopy quality. To which extent this effect may be related to physician experience is not known. We performed a randomised trial with colonoscopists in their qualification period (AID-2) and compared these data with a previously published randomised trial in expert endoscopists (AID-1).

METHODS:

In this prospective, randomised controlled non-inferiority trial (AID-2), 10 non-expert endoscopists (<2000 colonoscopies) performed screening/surveillance/diagnostic colonoscopies in consecutive 40-80 year-old subjects using high-definition colonoscopy with or without a real-time deep-learning computer-aided detection (CADe) (GI Genius, Medtronic). The primary outcome was ADR in both groups with histology of resected lesions as reference. In a post-hoc analysis, data from this randomised controlled trial (RCT) were compared with data from the previous AID-1 RCT involving six experienced endoscopists in an otherwise similar setting.

RESULTS:

In 660 patients (62.3±10 years; men/women 330/330) with equal distribution of study parameters, overall ADR was higher in the CADe than in the control group (53.3% vs 44.5%; relative risk (RR) 1.22; 95% CI 1.04 to 1.40; p<0.01 for non-inferiority and p=0.02 for superiority). Similar increases were seen in adenoma numbers per colonoscopy and in small and distal lesions. No differences were observed with regards to detection of non-neoplastic lesions. When pooling these data with those from the AID-1 study, use of CADe (RR 1.29; 95% CI 1.16 to 1.42) and colonoscopy indication, but not the level of examiner experience (RR 1.02; 95% CI 0.89 to 1.16) were associated with ADR differences in a multivariate analysis.

CONCLUSIONS:

In less experienced examiners, CADe assistance during colonoscopy increased ADR and a number of related polyp parameters as compared with the control group. Experience appears to play a minor role as determining factor for ADR. TRIAL REGISTRATION NUMBER NCT04260321.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Pólipos / Neoplasias Colorrectales / Adenoma / Pólipos del Colon Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Prognostic_studies / Screening_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Gut Año: 2022 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Pólipos / Neoplasias Colorrectales / Adenoma / Pólipos del Colon Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Prognostic_studies / Screening_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Gut Año: 2022 Tipo del documento: Article País de afiliación: Italia