Ludovic Caillo, Clément Delliot, Thierry Chevallier, Jean-Francois Bourgaux, Ardavan Prost, Bénédicte Brunaud-Gagniard, Valérie Phoutthasang, Clémentine Clerc, Thomas Borderie, Jules Daniel, Philippe Pouderoux, Antoine Debourdeau
{"title":"COLODETECT 1：在提高结肠镜筛查腺瘤检出率方面，带计算机辅助检测功能的内镜与单纯计算机辅助检测功能的内镜与标准结肠镜的比较评估--试点研究。","authors":"Ludovic Caillo, Clément Delliot, Thierry Chevallier, Jean-Francois Bourgaux, Ardavan Prost, Bénédicte Brunaud-Gagniard, Valérie Phoutthasang, Clémentine Clerc, Thomas Borderie, Jules Daniel, Philippe Pouderoux, Antoine Debourdeau","doi":"10.1177/17562848241290433","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Independent use of artificial intelligence with computer-aided detection (CADe) and Endocuff Vision (ECV) has demonstrated enhanced adenoma detection rates (ADRs).</p><p><strong>Objective: </strong>Our pilot study aimed to define the necessary participant number for future randomized controlled trials (RCTs) by comparing the ADR of combined CADe + ECV against CADe alone and standard colonoscopy.</p><p><strong>Design: </strong>This single-center pilot study retrospectively analyzed a prospectively maintained database, where patients underwent screening colonoscopies sequentially by standard method, CADe alone, and then CADe + ECV.</p><p><strong>Method: </strong>The allocation of the technique depended on the study period. Patients were randomly selected from the cohort to form three groups of 30 patients, with stratification based on factors influencing the ADR. The primary endpoint was the ADR.</p><p><strong>Results: </strong>From April to June 2021, 244 patients underwent screening colonoscopy. 198 were eligible, and after randomization, 90 patients were included across three groups (colonoscopy <i>n</i> = 30, CADe <i>n</i> = 30, CADe + ECV = 30). The ADR was higher in the CADe + ECV group compared to the CADe and colonoscopy groups: 60% versus 40%, and 30%, respectively (<i>p</i> = 0.03). The number of polyps ⩽3 mm detected was greater in the CADe + ECV group (<i>n</i> = 23) versus CADe (<i>n</i> = 7) and colonoscopy (<i>n</i> = 12) groups, respectively (<i>p</i> = 0.03). CADe + ECV identified more polyps in the cecum/right colon (<i>n</i> = 26) compared to CADe (<i>n</i> = 18) and colonoscopy (<i>n</i> = 12) groups (<i>p</i> = 0.04), and in the left colon/sigmoid (<i>n</i> = 14) compared to CADe (<i>n</i> = 5) and colonoscopy (<i>n</i> = 2) (<i>p</i> = 0.02).</p><p><strong>Conclusion: </strong>These findings underscore the synergic potential of combining CADe with ECV to enhance ADR and enable us to perform sample size calculations for future RCTs.</p><p><strong>Registration: </strong>Clinical Trials number: NCT05080088. Registration 06/06/2021.</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11528738/pdf/","citationCount":"0","resultStr":"{\"title\":\"COLODETECT 1: comparative evaluation of endocuff with computer-aided detection versus computer-aided detection alone versus standard colonoscopy for enhancing adenoma detection rates during screening colonoscopy-a pilot study.\",\"authors\":\"Ludovic Caillo, Clément Delliot, Thierry Chevallier, Jean-Francois Bourgaux, Ardavan Prost, Bénédicte Brunaud-Gagniard, Valérie Phoutthasang, Clémentine Clerc, Thomas Borderie, Jules Daniel, Philippe Pouderoux, Antoine Debourdeau\",\"doi\":\"10.1177/17562848241290433\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Independent use of artificial intelligence with computer-aided detection (CADe) and Endocuff Vision (ECV) has demonstrated enhanced adenoma detection rates (ADRs).</p><p><strong>Objective: </strong>Our pilot study aimed to define the necessary participant number for future randomized controlled trials (RCTs) by comparing the ADR of combined CADe + ECV against CADe alone and standard colonoscopy.</p><p><strong>Design: </strong>This single-center pilot study retrospectively analyzed a prospectively maintained database, where patients underwent screening colonoscopies sequentially by standard method, CADe alone, and then CADe + ECV.</p><p><strong>Method: </strong>The allocation of the technique depended on the study period. Patients were randomly selected from the cohort to form three groups of 30 patients, with stratification based on factors influencing the ADR. The primary endpoint was the ADR.</p><p><strong>Results: </strong>From April to June 2021, 244 patients underwent screening colonoscopy. 198 were eligible, and after randomization, 90 patients were included across three groups (colonoscopy <i>n</i> = 30, CADe <i>n</i> = 30, CADe + ECV = 30). The ADR was higher in the CADe + ECV group compared to the CADe and colonoscopy groups: 60% versus 40%, and 30%, respectively (<i>p</i> = 0.03). The number of polyps ⩽3 mm detected was greater in the CADe + ECV group (<i>n</i> = 23) versus CADe (<i>n</i> = 7) and colonoscopy (<i>n</i> = 12) groups, respectively (<i>p</i> = 0.03). CADe + ECV identified more polyps in the cecum/right colon (<i>n</i> = 26) compared to CADe (<i>n</i> = 18) and colonoscopy (<i>n</i> = 12) groups (<i>p</i> = 0.04), and in the left colon/sigmoid (<i>n</i> = 14) compared to CADe (<i>n</i> = 5) and colonoscopy (<i>n</i> = 2) (<i>p</i> = 0.02).</p><p><strong>Conclusion: </strong>These findings underscore the synergic potential of combining CADe with ECV to enhance ADR and enable us to perform sample size calculations for future RCTs.</p><p><strong>Registration: </strong>Clinical Trials number: NCT05080088. Registration 06/06/2021.</p>\",\"PeriodicalId\":3,\"journal\":{\"name\":\"ACS Applied Electronic Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11528738/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Electronic Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/17562848241290433\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/17562848241290433","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
COLODETECT 1: comparative evaluation of endocuff with computer-aided detection versus computer-aided detection alone versus standard colonoscopy for enhancing adenoma detection rates during screening colonoscopy-a pilot study.
Background: Independent use of artificial intelligence with computer-aided detection (CADe) and Endocuff Vision (ECV) has demonstrated enhanced adenoma detection rates (ADRs).
Objective: Our pilot study aimed to define the necessary participant number for future randomized controlled trials (RCTs) by comparing the ADR of combined CADe + ECV against CADe alone and standard colonoscopy.
Design: This single-center pilot study retrospectively analyzed a prospectively maintained database, where patients underwent screening colonoscopies sequentially by standard method, CADe alone, and then CADe + ECV.
Method: The allocation of the technique depended on the study period. Patients were randomly selected from the cohort to form three groups of 30 patients, with stratification based on factors influencing the ADR. The primary endpoint was the ADR.
Results: From April to June 2021, 244 patients underwent screening colonoscopy. 198 were eligible, and after randomization, 90 patients were included across three groups (colonoscopy n = 30, CADe n = 30, CADe + ECV = 30). The ADR was higher in the CADe + ECV group compared to the CADe and colonoscopy groups: 60% versus 40%, and 30%, respectively (p = 0.03). The number of polyps ⩽3 mm detected was greater in the CADe + ECV group (n = 23) versus CADe (n = 7) and colonoscopy (n = 12) groups, respectively (p = 0.03). CADe + ECV identified more polyps in the cecum/right colon (n = 26) compared to CADe (n = 18) and colonoscopy (n = 12) groups (p = 0.04), and in the left colon/sigmoid (n = 14) compared to CADe (n = 5) and colonoscopy (n = 2) (p = 0.02).
Conclusion: These findings underscore the synergic potential of combining CADe with ECV to enhance ADR and enable us to perform sample size calculations for future RCTs.
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