Quantitative analysis and development of a computer-aided system for identification of regular pit patterns of colorectal lesions

Gastrointestinal Endoscopy Volume 72 Issue 5 Page 1047-1051 published_at 2010-11
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Title ( eng )
Quantitative analysis and development of a computer-aided system for identification of regular pit patterns of colorectal lesions
Creator
Takemura Yoshito
Onji Keiichi
Oka Shiro
Source Title
Gastrointestinal Endoscopy
Volume 72
Issue 5
Start Page 1047
End Page 1051
Abstract
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.
NDC
Medical sciences [ 490 ]
Language
eng
Resource Type journal article
Publisher
Mosby Elsevier
Date of Issued 2010-11
Rights
Copyright (c) 2010 American Society for Gastrointestinal Endoscopy Published by Mosby, Inc.
Publish Type Author’s Original
Access Rights open access
Source Identifier
[ISSN] 0016-5107
[DOI] 10.1016/j.gie.2010.07.037
[NCID] AA00653961
[DOI] http://dx.doi.org/10.1016/j.gie.2010.07.037