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01-12-2011 | Original Article—Alimentary Tract

Quantitative analysis of colorectal lesions observed on magnified endoscopy images

Authors: Keiichi Onji, Shigeto Yoshida, Shinji Tanaka, Rie Kawase, Yoshito Takemura, Shiro Oka, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Masaharu Yoshihara, Kazuaki Chayama

Published in: Journal of Gastroenterology | Issue 12/2011

Abstract

Background

Various surface mucosal pit patterns, as recognized by endoscopists, correlate with the histologic features of colorectal cancers. We investigated whether magnified endoscopy images of these pit patterns could be analyzed quantitatively and thus facilitate computer-aided diagnosis of colorectal lesions.

Methods

We applied both texture analysis and scale-invariant feature transform (SIFT) descriptors and discriminant analysis to magnified endoscopy images of 165 neoplastic colorectal lesions (pit patterns: type III_L/IV, n = 44; type V_I-mildly irregular, n = 36; type V_I-severely irregular, n = 45; type V_N, n = 40) [histologic findings: tubular adenoma (TA), n = 56; carcinoma with intramucosal or even scant submucosal invasion (M/SM-s), n = 52, carcinoma with massive submucosal invasion (SM-m), n = 57]. We analyzed differences in pit pattern values and corresponding histologic values to determine whether the values were diagnostically meaningful.

Results

Gray-level difference matrix (GLDM) inverse difference moment and spatial gray-level dependence matrix (SGLDM) local homogeneity values differed significantly between type III_L/IV and type V_N pit patterns. Values differed significantly for each analyzed feature between type III_L/IV and type V_I-severely irregular patterns and were high but descending for type III_L/IV, type V_I-mildly irregular, and type V_I-severely irregular pit patterns (in that order). Similarly, texture analysis yielded high but descending values for TA, M/SM-s, and SM-m (in that order). Furthermore, SIFT descriptors and discriminant analysis yielded differences that were superior to those obtained by texture analyses.

Conclusions

Computer analysis of magnified endoscopy images for the diagnosis of colorectal lesions appears feasible. We anticipate further developments in the computer-aided diagnosis of pit patterns on magnified endoscopy images.

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Title: Quantitative analysis of colorectal lesions observed on magnified endoscopy images
Authors: Keiichi Onji
Shigeto Yoshida
Shinji Tanaka
Rie Kawase
Yoshito Takemura
Shiro Oka
Toru Tamaki
Bisser Raytchev
Kazufumi Kaneda
Masaharu Yoshihara
Kazuaki Chayama
Publication date: 01-12-2011
Publisher: Springer Japan
Published in: Journal of Gastroenterology / Issue 12/2011
Print ISSN: 0944-1174
Electronic ISSN: 1435-5922
DOI: https://doi.org/10.1007/s00535-011-0459-x

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Abstract

Background

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