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White light imaging versus artificial intelligence-assisted white light imaging for colorectal neoplasia detection: a randomised trial

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Introduction: Adenoma detection rate (ADR) and sessile serrated lesion (SSL) detection rate (SDR) are crucial quality indicators for colonoscopy, as their improvement contributes to effective prevention of colorectal cancer. Artificial intelligence (AI) has been shown to significantly increase ADR....

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Autores: Oliveira dos Santos, Carlos Eduardo, Leggett, Cadman, Sharma, Prateek, Malaman dos Santos, Gabriel, Arciniegas Sanmartin, Ivan David, Pereira-Lima, Júlio Carlos
Formato: artículo
Fecha de Publicación:2025
Institución:Sociedad de Gastroenterología del Perú
Repositorio:Revista de Gastroenterología del Perú
Lenguaje:inglés
OAI Identifier:oai:ojs.revistagastroperu.com:article/2065
Enlace del recurso:https://revistagastroperu.com/index.php/rgp/article/view/2065
Nivel de acceso:acceso abierto
Materia:Colonoscopy
Polyps
Adenomas
Artificial Intelligence
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dc.title.none.fl_str_mv White light imaging versus artificial intelligence-assisted white light imaging for colorectal neoplasia detection: a randomised trial
White light imaging versus artificial intelligence-assisted white light imaging for colorectal neoplasia detection: a randomised trial
title White light imaging versus artificial intelligence-assisted white light imaging for colorectal neoplasia detection: a randomised trial
spellingShingle White light imaging versus artificial intelligence-assisted white light imaging for colorectal neoplasia detection: a randomised trial
Oliveira dos Santos, Carlos Eduardo
Colonoscopy
Polyps
Adenomas
Artificial Intelligence
Colonoscopy
Polyps
Adenomas
Artificial Intelligence
title_short White light imaging versus artificial intelligence-assisted white light imaging for colorectal neoplasia detection: a randomised trial
title_full White light imaging versus artificial intelligence-assisted white light imaging for colorectal neoplasia detection: a randomised trial
title_fullStr White light imaging versus artificial intelligence-assisted white light imaging for colorectal neoplasia detection: a randomised trial
title_full_unstemmed White light imaging versus artificial intelligence-assisted white light imaging for colorectal neoplasia detection: a randomised trial
title_sort White light imaging versus artificial intelligence-assisted white light imaging for colorectal neoplasia detection: a randomised trial
dc.creator.none.fl_str_mv Oliveira dos Santos, Carlos Eduardo
Leggett, Cadman
Sharma, Prateek
Malaman dos Santos, Gabriel
Arciniegas Sanmartin, Ivan David
Pereira-Lima, Júlio Carlos
author Oliveira dos Santos, Carlos Eduardo
author_facet Oliveira dos Santos, Carlos Eduardo
Leggett, Cadman
Sharma, Prateek
Malaman dos Santos, Gabriel
Arciniegas Sanmartin, Ivan David
Pereira-Lima, Júlio Carlos
author_role author
author2 Leggett, Cadman
Sharma, Prateek
Malaman dos Santos, Gabriel
Arciniegas Sanmartin, Ivan David
Pereira-Lima, Júlio Carlos
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Colonoscopy
Polyps
Adenomas
Artificial Intelligence
Colonoscopy
Polyps
Adenomas
Artificial Intelligence
topic Colonoscopy
Polyps
Adenomas
Artificial Intelligence
Colonoscopy
Polyps
Adenomas
Artificial Intelligence
description Introduction: Adenoma detection rate (ADR) and sessile serrated lesion (SSL) detection rate (SDR) are crucial quality indicators for colonoscopy, as their improvement contributes to effective prevention of colorectal cancer. Artificial intelligence (AI) has been shown to significantly increase ADR. This study compared white light imaging (WLI) versus AI-assisted WLI for neoplasia detection. Materials and methods: This was a prospective, randomised trial of screening, surveillance, and symptomatic patients. Our primary objective was to evaluate ADR. Secondary objectives included SDR, mean number of adenomas per patient (MAP), neoplasia detection rate (NDR), advanced ADR (AADR), and colonoscope withdrawal time. Results: A total of 621 adenomas were diagnosed in 711 patients, with 310 adenomas in the WLI group and 311 adenomas in the WLI+AI group (p=0.65). Eighty-three SSLs and two intramucosal carcinomas were also detected, totalling 706 neoplasms. ADR was 45.9% in the WLI group and 50.8% in the WLI+AI group (p=0.20). ADR was 54.4% for screening, 49.0% for surveillance, and 40.0% for symptomatic patients (p=0.01). Marginal significance was observed in the WLI+AI group for screening patients (61.5% vs. 49.2%, p=0.06). SDR was 9.0% for both groups. MAP (0.9 vs. 0.9, p=0.34), NDR (51.0% vs. 56.8%, p=0.13), and AADR (8.4% vs. 7.6%, p=0.78) did not differ significantly between the groups. Withdrawal time was similar for the WLI (12.4±5.1 min) and WLI+AI (12.2±4.1 min) groups (p=0.32). Conclusions: AI-assisted colonoscopy demonstrated high ADR and NDR. While without statistical relevance overall, marginal significance was observed for screening patients.
publishDate 2025
dc.date.none.fl_str_mv 2025-12-30
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistagastroperu.com/index.php/rgp/article/view/2065
url https://revistagastroperu.com/index.php/rgp/article/view/2065
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistagastroperu.com/index.php/rgp/article/view/2065/1353
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Sociedad de Gastroenterología del Perú
publisher.none.fl_str_mv Sociedad de Gastroenterología del Perú
dc.source.none.fl_str_mv Revista de Gastroenterología del Perú; Vol. 45 No. 4 (2025); 359-366
Revista de Gastroenterología del Perú; Vol. 45 Núm. 4 (2025); 359-366
1609-722X
1022-5129
reponame:Revista de Gastroenterología del Perú
instname:Sociedad de Gastroenterología del Perú
instacron:SOCIOGASTRO
instname_str Sociedad de Gastroenterología del Perú
instacron_str SOCIOGASTRO
institution SOCIOGASTRO
reponame_str Revista de Gastroenterología del Perú
collection Revista de Gastroenterología del Perú
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling White light imaging versus artificial intelligence-assisted white light imaging for colorectal neoplasia detection: a randomised trialWhite light imaging versus artificial intelligence-assisted white light imaging for colorectal neoplasia detection: a randomised trialOliveira dos Santos, Carlos EduardoLeggett, CadmanSharma, PrateekMalaman dos Santos, GabrielArciniegas Sanmartin, Ivan DavidPereira-Lima, Júlio CarlosColonoscopyPolypsAdenomasArtificial IntelligenceColonoscopyPolypsAdenomasArtificial IntelligenceIntroduction: Adenoma detection rate (ADR) and sessile serrated lesion (SSL) detection rate (SDR) are crucial quality indicators for colonoscopy, as their improvement contributes to effective prevention of colorectal cancer. Artificial intelligence (AI) has been shown to significantly increase ADR. This study compared white light imaging (WLI) versus AI-assisted WLI for neoplasia detection. Materials and methods: This was a prospective, randomised trial of screening, surveillance, and symptomatic patients. Our primary objective was to evaluate ADR. Secondary objectives included SDR, mean number of adenomas per patient (MAP), neoplasia detection rate (NDR), advanced ADR (AADR), and colonoscope withdrawal time. Results: A total of 621 adenomas were diagnosed in 711 patients, with 310 adenomas in the WLI group and 311 adenomas in the WLI+AI group (p=0.65). Eighty-three SSLs and two intramucosal carcinomas were also detected, totalling 706 neoplasms. ADR was 45.9% in the WLI group and 50.8% in the WLI+AI group (p=0.20). ADR was 54.4% for screening, 49.0% for surveillance, and 40.0% for symptomatic patients (p=0.01). Marginal significance was observed in the WLI+AI group for screening patients (61.5% vs. 49.2%, p=0.06). SDR was 9.0% for both groups. MAP (0.9 vs. 0.9, p=0.34), NDR (51.0% vs. 56.8%, p=0.13), and AADR (8.4% vs. 7.6%, p=0.78) did not differ significantly between the groups. Withdrawal time was similar for the WLI (12.4±5.1 min) and WLI+AI (12.2±4.1 min) groups (p=0.32). Conclusions: AI-assisted colonoscopy demonstrated high ADR and NDR. While without statistical relevance overall, marginal significance was observed for screening patients.Introduction: Adenoma detection rate (ADR) and sessile serrated lesion (SSL) detection rate (SDR) are crucial quality indicators for colonoscopy, as their improvement contributes to effective prevention of colorectal cancer. Artificial intelligence (AI) has been shown to significantly increase ADR. This study compared white light imaging (WLI) versus AI-assisted WLI for neoplasia detection. Materials and methods: This was a prospective, randomised trial of screening, surveillance, and symptomatic patients. Our primary objective was to evaluate ADR. Secondary objectives included SDR, mean number of adenomas per patient (MAP), neoplasia detection rate (NDR), advanced ADR (AADR), and colonoscope withdrawal time. Results: A total of 621 adenomas were diagnosed in 711 patients, with 310 adenomas in the WLI group and 311 adenomas in the WLI+AI group (p=0.65). Eighty-three SSLs and two intramucosal carcinomas were also detected, totalling 706 neoplasms. ADR was 45.9% in the WLI group and 50.8% in the WLI+AI group (p=0.20). ADR was 54.4% for screening, 49.0% for surveillance, and 40.0% for symptomatic patients (p=0.01). Marginal significance was observed in the WLI+AI group for screening patients (61.5% vs. 49.2%, p=0.06). SDR was 9.0% for both groups. MAP (0.9 vs. 0.9, p=0.34), NDR (51.0% vs. 56.8%, p=0.13), and AADR (8.4% vs. 7.6%, p=0.78) did not differ significantly between the groups. Withdrawal time was similar for the WLI (12.4±5.1 min) and WLI+AI (12.2±4.1 min) groups (p=0.32). Conclusions: AI-assisted colonoscopy demonstrated high ADR and NDR. While without statistical relevance overall, marginal significance was observed for screening patients.Sociedad de Gastroenterología del Perú2025-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistagastroperu.com/index.php/rgp/article/view/2065Revista de Gastroenterología del Perú; Vol. 45 No. 4 (2025); 359-366Revista de Gastroenterología del Perú; Vol. 45 Núm. 4 (2025); 359-3661609-722X1022-5129reponame:Revista de Gastroenterología del Perúinstname:Sociedad de Gastroenterología del Perúinstacron:SOCIOGASTROenghttps://revistagastroperu.com/index.php/rgp/article/view/2065/1353Derechos de autor 2025 Carlos Eduardo Oliveira dos Santos, Cadman Leggett, Prateek Sharma, Gabriel Malaman dos Santos, Ivan David Arciniegas Sanmartin, Júlio Carlos Pereira-Limahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:ojs.revistagastroperu.com:article/20652025-12-31T00:15:36Z
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