| Theme | Atlas of type IIc colorectal cancer | |
|---|---|---|
| Title | Detection of IIc lesions using artificial intelligence | |
| Publish Date | 2021/07 | |
| Author | Yuki Takashina | Digestive Disease Center, Showa University Northern Yokohama Hospital |
| Author | Shin-ei Kudo | Digestive Disease Center, Showa University Northern Yokohama Hospital |
| Author | Masashi Misawa | Digestive Disease Center, Showa University Northern Yokohama Hospital |
| Author | Toyoki Kudo | Digestive Disease Center, Showa University Northern Yokohama Hospital |
| Author | Kunihiko Wakamura | Digestive Disease Center, Showa University Northern Yokohama Hospital |
| Author | Takemasa Hayashi | Digestive Disease Center, Showa University Northern Yokohama Hospital |
| Author | Hideyuki Miyachi | Digestive Disease Center, Showa University Northern Yokohama Hospital |
| Author | Tetsuo Nemoto | Department of Clinical Pathology, Showa University Northern Yokohama Hospital |
| Author | Fumio Ishida | Digestive Disease Center, Showa University Northern Yokohama Hospital |
| [ Summary ] | Notably, IIc lesions are of interest to endoscopists owing to their small size, difficulty in detection, high risk of malignancy, and early metastasis in colorectal lesions. Unfortunately, detection of polyps may be missed even by expert colonoscopists; smallsized polyps are associated with a high risk of being missed or being misdiagnosed. The EndoBRAIN®-EYE (artificial intelligence endoscopic image diagnosis support software), which is currently being developed at our hospital, can assist in the detection of IIc lesions. In addition to the detection of raised and fl at lesions that are relatively easy to identify, EndoBRAIN®-EYE enables the detection of Ⅱc lesions. | |