Quantitative analysis of melanosis coli colonic mucosa using textural patterns

Chung Ming Lo, Chun Chang Chen, Yu Hsuan Yeh, Chun Chao Chang, Hsing Jung Yeh

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Melanosis coli (MC) is a disease related to long-term use of anthranoid laxative agents. Patients with clinical constipation or obesity are more likely to use these drugs for long periods. Moreover, patients with MC are more likely to develop polyps, particularly adenomatous polyps. Adenomatous polyps can transform to colorectal cancer. Recognizing multiple polyps from MC is challenging due to their heterogeneity. Therefore, this study proposed a quantitative assessment of MC colonic mucosa with texture patterns. In total, the MC colonoscopy images of 1092 person-times were included in this study. At the beginning, the correlations among carcinoembryonic antigens, polyp texture, and pathology were analyzed. Then, 181 patients with MC were extracted for further analysis while patients having unclear images were excluded. By gray-level co-occurrence matrix, texture patterns in the colorectal images were extracted. Pearson correlation analysis indicated five texture features were significantly correlated with pathological results (p < 0.001). This result should be used in the future to design an instant help software to help the physician. The information of colonoscopy and image analystic data can provide clinicians with suggestions for assessing patients with MC.

Original languageEnglish
Article number404
JournalApplied Sciences (Switzerland)
Volume10
Issue number1
DOIs
Publication statusPublished - Jan 1 2020

Keywords

  • Colon adenoma
  • Gray-level co-occurrence matrix
  • Melanosis coli

ASJC Scopus subject areas

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

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