Computer-aided diagnosis system using only white-light endoscopy for the prediction of invasion depth in colorectal cancer
| Autor: | Naoya Kato, Tomoaki Matsumura, Ryota Saiki, Jun Kato, Hirotaka Oura, Makoto Arai, Kenichiro Okimoto, Rino Nankinzan, Takuto Suzuki, Mamoru Tokunaga, Naoki Akizue, Tatsuya Kaneko, Mai Fujie, Hirai Shun |
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| Rok vydání: | 2021 |
| Předmět: |
Invasion depth
medicine.medical_specialty Colorectal cancer 03 medical and health sciences 0302 clinical medicine parasitic diseases medicine Humans Radiology Nuclear Medicine and imaging Diagnosis Computer-Assisted Hyperplasia medicine.diagnostic_test Computers business.industry Gastroenterology Endoscopy medicine.disease Cad system Dysplasia Computer-aided diagnosis 030220 oncology & carcinogenesis White light endoscopy 030211 gastroenterology & hepatology Radiology Colorectal Neoplasms business Endoscopic treatment |
| Zdroj: | Gastrointestinal Endoscopy. 93:647-653 |
| ISSN: | 0016-5107 |
| DOI: | 10.1016/j.gie.2020.07.053 |
| Popis: | Endoscopic treatment is recommended for low-grade dysplasia (LGD), high-grade dysplasia (HGD), and colorectal cancer (CRC) with submucosal (SM) invasion 1000 μm. However, diagnosis of invasion depth requires experience and is often difficult. This study developed and evaluated a novel computer-aided diagnosis (CAD) system to determine whether endoscopic treatment is appropriate for colorectal lesions using only white-light endoscopy (WLE).We extracted 3442 images from 1035 consecutive colorectal lesions (105 LGDs, 377 HGDs, 107 CRCs with SM 1000 μm, 146 CRCs with SM ≥1000 μm, and 300 advanced CRCs). All images were WLE, nonmagnified, and nonstained. We developed a novel CAD system using 2751 images; the remaining 691 images were evaluated by the CAD system as a test set. The capability of the CAD system to distinguish endoscopically treatable lesions and untreatable lesions was assessed and compared with the results from 2 trainees and 2 experts.The CAD system distinguished endoscopically treatable from untreatable lesions with 96.7% sensitivity, 75.0% specificity, and 90.3% accuracy. These values were significantly higher than those from trainees (92.1%, 67.6%, and 84.9%; P .01, .01, and .01, respectively) and were comparable with those from experts (96.5%, 72.5%, and 89.4%, respectively). Trainees assisted by the CAD system demonstrated a diagnostic capability comparable with that of experts.The CAD system had good diagnostic capability for making treatment decisions for colorectal lesions. This system may enable a more convenient and accurate diagnosis using only WLE. |
| Databáze: | OpenAIRE |
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