White light imaging versus artificial intelligence-assisted white light imaging for colorectal neoplasia detection: a randomised trial
Descripción del Articulo
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....
| Autores: | , , , , , |
|---|---|
| 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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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 |
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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 |
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https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
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openAccess |
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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 |
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Sociedad de Gastroenterología del Perú |
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SOCIOGASTRO |
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SOCIOGASTRO |
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Revista de Gastroenterología del Perú |
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Revista de Gastroenterología del Perú |
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1863825153980366848 |
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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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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).