Bibliographic Details
| Title: |
Evaluation of Artificial Intelligence: Computer-aided Detection of Colorectal Polyps |
| Authors: |
Yuya Hiratsuka, Takashi Hisabe, Kensei Ohtsu, Tatsuhisa Yasaka, Kazuhiro Takeda, Masaki Miyaoka, Yoichiro Ono, Takao Kanemitsu, Kentaro Imamura, Teruyuki Takeda, Satoshi Nimura, Kenshi Yao |
| Source: |
Journal of the Anus, Rectum and Colon, Vol 9, Iss 1, Pp 79-87 (2025) |
| Publisher Information: |
The Japan Society of Coloproctology, 2025. |
| Publication Year: |
2025 |
| Collection: |
LCC:Diseases of the digestive system. Gastroenterology |
| Subject Terms: |
artificial intelligence, computer-aided detection, adenoma miss rate, adenoma detection rate, Diseases of the digestive system. Gastroenterology, RC799-869 |
| More Details: |
Objectives: Colonoscopy is the gold standard for screening cancer and precancerous lesions in the large intestine. Recently, remarkable advances in artificial intelligence (AI) have led to the development of various computer-aided detection (CADe) systems for colonoscopy. This study aimed to evaluate the usefulness of AI for colonoscopy using CAD-EYEⓇ (Fujifilm, Tokyo, Japan) to calculate the adenoma miss rate (AMR). Methods: This randomized, open-label, single-center, tandem study was conducted at Fukuoka University Chikushi Hospital from February 2022 to November 2022. Patients were randomly assigned to the CADe or non-CADe group. Immediately after the completion of the first endoscopy by an endoscopist, a new endoscopist was assigned to perform the second endoscopy. As a result, different endoscopists performed the examinations in a tandem fashion. A missed lesion was defined as a newly detected colorectal polyp by the second endoscopy. Finally, the AMR was compared between the two groups. Results: The study population comprised 48 patients in the CADe group and 46 patients in the non-CADe group. The AMR was 17.4% in the CADe group and 30.3% in the non-CADe group. Therefore, the AMR in the CADe group was statistically significantly lower than that in the non-CADe group (P=0.009). Conclusions: The application of CAD-EYEⓇ to colonoscopy reduced the AMR. Overall, CAD-EYEⓇ might be useful for reducing missed colorectal adenomas. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2432-3853 |
| Relation: |
https://www.jstage.jst.go.jp/article/jarc/9/1/9_2024-057/_pdf/-char/en; https://doaj.org/toc/2432-3853 |
| DOI: |
10.23922/jarc.2024-057 |
| Access URL: |
https://doaj.org/article/df3c0afc9be24b81b9f4ef293204c483 |
| Accession Number: |
edsdoj.f3c0afc9be24b81b9f4ef293204c483 |
| Database: |
Directory of Open Access Journals |
