Computer-aided diagnosis system using only white-light endoscopy for the prediction of invasion depth in colorectal cancer.


Journal

Gastrointestinal endoscopy
ISSN: 1097-6779
Titre abrégé: Gastrointest Endosc
Pays: United States
ID NLM: 0010505

Informations de publication

Date de publication:
03 2021
Historique:
received: 23 04 2020
accepted: 24 07 2020
pubmed: 1 8 2020
medline: 1 6 2021
entrez: 1 8 2020
Statut: ppublish

Résumé

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.

Sections du résumé

BACKGROUND AND AIMS
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).
METHODS
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.
RESULTS
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.
CONCLUSIONS
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.

Identifiants

pubmed: 32735946
pii: S0016-5107(20)34648-4
doi: 10.1016/j.gie.2020.07.053
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

647-653

Informations de copyright

Copyright © 2021 American Society for Gastrointestinal Endoscopy. Published by Elsevier Inc. All rights reserved.

Auteurs

Mamoru Tokunaga (M)

Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba, Japan.

Tomoaki Matsumura (T)

Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba, Japan.

Rino Nankinzan (R)

Endoscopy Division, Chiba Cancer Center, Chiba, Japan.

Takuto Suzuki (T)

Endoscopy Division, Chiba Cancer Center, Chiba, Japan.

Hirotaka Oura (H)

Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba, Japan.

Tatsuya Kaneko (T)

Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba, Japan.

Mai Fujie (M)

Department of Clinical Engineering Center, Chiba University Hospital, Chiba, Japan.

Shun Hirai (S)

Morpho Inc, Tokyo, Japan.

Ryota Saiki (R)

Morpho Inc, Tokyo, Japan.

Naoki Akizue (N)

Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba, Japan.

Kenichiro Okimoto (K)

Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba, Japan.

Makoto Arai (M)

Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba, Japan.

Jun Kato (J)

Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba, Japan.

Naoya Kato (N)

Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba, Japan.

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