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Journal of Biomedical Optics • Open Access

Effect of anatomy on spectroscopic detection of cervical dysplasia
Author(s): Jelena Mirkovic; Condon Lau; Sasha McGee; Chung-Chieh Yu; Jonathan Nazemi; Luis H. Galindo; Victoria Feng; Teresa Darragh; Antonio de las Morenas; Christopher P. Crum; Elizabeth Stier; Michael S. Feld; Kamran Badizadegan

Paper Abstract

It has long been speculated that underlying variations in tissue anatomy affect in vivo spectroscopic measurements. We investigate the effects of cervical anatomy on reflectance and fluorescence spectroscopy to guide the development of a diagnostic algorithm for identifying high-grade squamous intraepithelial lesions (HSILs) free of the confounding effects of anatomy. We use spectroscopy in both contact probe and imaging modes to study patients undergoing either colposcopy or treatment for HSIL. Physical models of light propagation in tissue are used to extract parameters related to tissue morphology and biochemistry. Our results show that the transformation zone, the area in which the vast majority of HSILs are found, is spectroscopically distinct from the adjacent squamous mucosa, and that these anatomical differences can directly influence spectroscopic diagnostic parameters. Specifically, we demonstrate that performance of diagnostic algorithms for identifying HSILs is artificially enhanced when clinically normal squamous sites are included in the statistical analysis of the spectroscopic data. We conclude that underlying differences in tissue anatomy can have a confounding effect on diagnostic spectroscopic parameters and that the common practice of including clinically normal squamous sites in cervical spectroscopy results in artificially improved performance in distinguishing HSILs from clinically suspicious non-HSILs.

Paper Details

Date Published: 1 July 2009
PDF: 8 pages
J. Biomed. Opt. 14(4) 044021 doi: 10.1117/1.3194142
Published in: Journal of Biomedical Optics Volume 14, Issue 4
Show Author Affiliations
Jelena Mirkovic, Massachusetts Institute of Technology (United States)
Condon Lau, Massachusetts Institute of Technology (United States)
Sasha McGee, Massachusetts Institute of Technology (United States)
Chung-Chieh Yu, Massachusetts Institute of Technology (United States)
Jonathan Nazemi, Prescient Medical, Inc. (United States)
Luis H. Galindo, Massachusetts Institute of Technology (United States)
Victoria Feng, Boston Medical Ctr. (United States)
Teresa Darragh, Univ. of California, San Francisco (United States)
Antonio de las Morenas, Boston Medical Ctr. (United States)
Christopher P. Crum, Brigham and Women's Hospital (United States)
Elizabeth Stier, Boston Medical Ctr. (United States)
Michael S. Feld, Massachusetts Institute of Technology (United States)
Kamran Badizadegan, Massachusetts Institute of Technology (United States)

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