Protocol for a multicenter randomized controlled trial to assess the usefulness of computer-aided detection systems for colonoscopy in colorectal cancer screening in the Asia-Pacific region (project CAD/NCCH2217)

Ensuring the high quality of colonoscopies in colorectal cancer (CRC) screening is essential to reducing CRC. Recently, computer-aided detection systems (CADe) that use artificial intelligence have attracted much attention as potentially useful tools for improving lesion detection in colonoscopy. However, evidence on the efficacy of CADe in CRC screening is lacking. We have planned a multi-national, multi-center, randomized controlled trial in the Asia-Pacific region to assess whether colonoscopy with CADe (test method) yields higher lesion detection (primary endpoint: adenoma detection rate) than colonoscopy without CADe (standard method) in CRC screening populations. The study will include 1400 participants aged 50-79 years who are due to undergo colonoscopy for CRC screening, whether as a primary screening colonoscopy or following a positive fecal immunochemical test. If the efficacy of CADe is proven from this study, the use of CADe in colonoscopy for CRC screening will become standard, leading to improved CRC screening.

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Publication Details

Journal
Japanese Journal of Clinical Oncology
Published
2025-03-09
DOI
https://doi.org/10.1093/jjco/hyaf043
Citations
2
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
2.09

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article

Protocol for a multicenter randomized controlled trial to assess the usefulness of computer-aided detection systems for colonoscopy in colorectal cancer screening in the Asia-Pacific region (project CAD/NCCH2217)

Taro Shibata, Supakij Khomvilai, Kyung Su Han, Ayako Miyata et al.
2 citations
Japanese Journal of Clinical Oncology
Colorectal Cancer Screening and Detection
2.09
article

Protocol for a multicenter randomized controlled trial to assess the usefulness of computer-aided detection systems for colonoscopy in colorectal cancer screening in the Asia-Pacific region (project CAD/NCCH2217)

Taro Shibata, Supakij Khomvilai, Kyung Su Han, Ayako Miyata, Yutaka Saito, Christopher Khor, Kensuke Shinmura, Takahisa Matsuda, Masau Sekiguchi, Han‐Mo Chiu, Kazuki Sumiyama, Sukit Pattarajierapan, Louis Ho Shing Lau, Jonathan Lee, Hyun‐Soo Kim, Chi-Yang Chang
article en
2 citations

Abstract

Ensuring the high quality of colonoscopies in colorectal cancer (CRC) screening is essential to reducing CRC. Recently, computer-aided detection systems (CADe) that use artificial intelligence have attracted much attention as potentially useful tools for improving lesion detection in colonoscopy. However, evidence on the efficacy of CADe in CRC screening is lacking. We have planned a multi-national, multi-center, randomized controlled trial in the Asia-Pacific region to assess whether colonoscopy with CADe (test method) yields higher lesion detection (primary endpoint: adenoma detection rate) than colonoscopy without CADe (standard method) in CRC screening populations. The study will include 1400 participants aged 50-79 years who are due to undergo colonoscopy for CRC screening, whether as a primary screening colonoscopy or following a positive fecal immunochemical test. If the efficacy of CADe is proven from this study, the use of CADe in colonoscopy for CRC screening will become standard, leading to improved CRC screening.

Japanese Journal of Clinical OncologyVol. 55(7)
Fu Jen Catholic University (TW), Jikei University School of Medicine (JP), Toho University (JP), Chulalongkorn University (TH), Chinese University of Hong Kong (HK), Yonsei University (KR), Singapore General Hospital (SG), National Cancer Center (US), Toho University Omori Medical Center (JP), Wonju Severance Christian Hospital (KR), Research Management (Norway) (NO), Prince of Wales Hospital (CN), National Cancer Center (KR), National Taiwan University Hospital (TW), National Cancer Center Hospital East (JP), National University Hospital (SG), University of Hong Kong (HK)
Japan Agency for Medical Research and Development
Good health and well-being
Openalex Percentile: Top 14%
Colorectal Cancer Screening and Detection
2.09
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