Adaptive Boosting (AdaBoost)-based multiwavelength spatial frequency domain imaging and characterization for ex vivo human colorectal tissue assessment

Shuying Li, Yifeng Zeng, Will Chapman, Mohsen Erfanzadeh, Sreyankar Nandy, Matthew Mutch, Quing Zhu

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The current gold standard diagnostic test for colorectal cancer remains histological inspections of endoluminal neoplasia in biopsy specimens. However, biopsy site selection requires visual inspection of the bowel, typically with a white-light endoscope. Therefore, this technique is poorly suited to detect small or innocuous-appearing lesions. We hypothesize that an alternative modality—multiwavelength spatial frequency domain imaging (SFDI)—would be able to differentiate various colorectal neoplasia from normal tissue. In this ex vivo study of human colorectal tissues, we report the optical absorption and scattering signatures of normal, adenomatous polyp and cancer specimens. An abnormal vs. normal adaptive boosting (AdaBoost) classifier is trained to dichotomize tissue based on SFDI imaging characteristics, and an area under the receiver operating characteristic (ROC) curve (AUC) of 0.95 is achieved. We conclude that AdaBoost-based multiwavelength SFDI can differentiate abnormal from normal colorectal tissues, potentially improving endoluminal screening of the distal gastrointestinal tract in the future.

Original languageEnglish
Article numbere201960241
JournalJournal of Biophotonics
Volume13
Issue number6
DOIs
StatePublished - Jun 1 2020

Keywords

  • AdaBoost
  • colorectal cancer
  • spatial frequency domain imaging

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