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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Mangas-Sanjuan, Carolina | - |
dc.contributor.author | de-Castro, Luisa | - |
dc.contributor.author | Cubiella, Joaquín | - |
dc.contributor.author | Díez-Redondo, Pilar | - |
dc.contributor.author | Suárez, Adolfo | - |
dc.contributor.author | Pellisé, María | - |
dc.contributor.author | Fernández, Nereida | - |
dc.contributor.author | Zarraquiños, Sara | - |
dc.contributor.author | Núñez-Rodriguez, Mª Henar | - |
dc.contributor.author | Álvarez-García, Verónica | - |
dc.contributor.author | Ortiz, Oswaldo | - |
dc.contributor.author | Sala-Miquel, Noelia | - |
dc.contributor.author | Zapater, Pedro | - |
dc.contributor.author | JOVER, RODRIGO | - |
dc.contributor.other | Departamentos de la UMH::Medicina Clínica | es_ES |
dc.date.accessioned | 2024-01-31T13:17:50Z | - |
dc.date.available | 2024-01-31T13:17:50Z | - |
dc.date.created | 2023-08-29 | - |
dc.identifier.citation | Annals of Internal Medicine • Vol. 176 No. 9 • September 2023 | es_ES |
dc.identifier.issn | 1539-3704 | - |
dc.identifier.issn | 1888-6760 | - |
dc.identifier.uri | https://hdl.handle.net/11000/30890 | - |
dc.description.abstract | Background: The role of computer-aided detection in identifying advanced colorectal neoplasia is unknown. Objective: To evaluate the contribution of computer-aided detection to colonoscopic detection of advanced colorectal neoplasias as well as adenomas, serrated polyps, and nonpolypoid and right-sided lesions. Design: Multicenter, parallel, randomized controlled trial. (ClinicalTrials.gov: NCT04673136) Setting: Spanish colorectal cancer screening program. Participants: 3213 persons with a positive fecal immunochemical test. Intervention: Enrollees were randomly assigned to colonoscopy with or without computer-aided detection. Measurements: Advanced colorectal neoplasia was defined as advanced adenoma and/or advanced serrated polyp. Results: The 2 comparison groups showed no significant difference in advanced colorectal neoplasia detection rate (34.8% with intervention vs. 34.6% for controls; adjusted risk ratio [aRR], 1.01 [95% CI, 0.92 to 1.10]) or the mean number of advanced colorectal neoplasias detected per colonoscopy (0.54 [SD, 0.95] with intervention vs. 0.52 [SD, 0.95] for controls; adjusted rate ratio, 1.04 [99.9% CI, 0.88 to 1.22]). Adenoma detection rate also did not differ (64.2% with intervention vs. 62.0% for controls; aRR, 1.06 [99.9% CI, 0.91 to 1.23]). Computer-aided detection increased the mean number of nonpolypoid lesions (0.56 [SD, 1.25] vs. 0.47 [SD, 1.18] for controls; adjusted rate ratio, 1.19 [99.9% CI, 1.01 to 1.41]), proximal adenomas (0.94 [SD, 1.62] vs. 0.81 [SD, 1.52] for controls; adjusted rate ratio, 1.17 [99.9% CI, 1.03 to 1.33]), and lesions of 5 mm or smaller (polyps in general and adenomas and serrated lesions in particular) detected per colonoscopy. Limitations: The high adenoma detection rate in the control group may limit the generalizability of the findings to endoscopists with low detection rates. Conclusion: Computer-aided detection did not improve colonoscopic identification of advanced colorectal neoplasias. Primary Funding Source: Medtronic. | es_ES |
dc.format | application/pdf | es_ES |
dc.format.extent | 9 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | ACP (American College of Physicians) | es_ES |
dc.rights | info:eu-repo/semantics/closedAccess | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Role of Artificial Intelligence in Colonoscopy Detection of Advanced Neoplasias. A Randomized Trial. | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherversion | https://doi.org/10.7326/M22-2619 | es_ES |
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