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ID 30870
本文ファイル
著者
Takemura, Yoshito
Onji, Keiichi
Oka, Shiro
NDC
医学
抄録(英)
Background: Because pit pattern classification of colorectal lesions is clinically useful in determining treatment options for colorectal tumors but requires extensive training, we developed a computerized system to automatically quantify and thus classify pit patterns depicted on magnifying endoscopy images.

Objective: To evaluate the utility and limitations of our automated pit pattern classification system.

Design: Retrospective study.

Setting: Department of endoscopy at a university hospital.

Main Outcome Measurements: Performance of our automated computer-based system for classification of pit patterns on magnifying endoscopic images in comparison to classification by diagnosis of the 134 regular pit pattern images by an endoscopist.

Results: For type I and II pit patterns, the results of discriminant analysis were in complete agreement with the endoscopic diagnoses. Type IIIL was diagnosed in 29 of 30 cases (96.7%) and type IV was diagnosed in 1 case. Twenty-nine of 30 cases (96.7%) were diagnosed as type IV pit pattern. The overall accuracy of our computerized recognition system was 132 of 134 (98.5%).

Conclusions: Our system is best characterized as semiautomated but is a step toward the development of a fully automated system to assist in the diagnosis of colorectal lesions based on classification of pit patterns.
掲載誌名
Gastrointestinal Endoscopy
72巻
5号
開始ページ
1047
終了ページ
1051
出版年月日
2010-11
出版者
Mosby Elsevier
ISSN
0016-5107
NCID
出版者DOI
言語
英語
NII資源タイプ
学術雑誌論文
広大資料タイプ
学術雑誌論文
DCMIタイプ
text
フォーマット
application/pdf
著者版フラグ
author
権利情報
Copyright (c) 2010 American Society for Gastrointestinal Endoscopy Published by Mosby, Inc.
関連情報URL
部局名
医歯薬学総合研究科