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Journal of Biomedical Optics

Clinical study of quantitative diagnosis of early cervical cancer based on the classification of acetowhitening kinetics
Author(s): Tao Wu; Tak-Hong Cheung; So-Fan Yim; Jianan Y. Qu
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Paper Abstract

A quantitative colposcopic imaging system for the diagnosis of early cervical cancer is evaluated in a clinical study. This imaging technology based on 3-D active stereo vision and motion tracking extracts diagnostic information from the kinetics of acetowhitening process measured from the cervix of human subjects in vivo. Acetowhitening kinetics measured from 137 cervical sites of 57 subjects are analyzed and classified using multivariate statistical algorithms. Cross-validation methods are used to evaluate the performance of the diagnostic algorithms. The results show that an algorithm for screening precancer produced 95% sensitivity (SE) and 96% specificity (SP) for discriminating normal and human papillomavirus (HPV)-infected tissues from cervical intraepithelial neoplasia (CIN) lesions. For a diagnostic algorithm, 91% SE and 90% SP are achieved for discriminating normal tissue, HPV infected tissue, and low-grade CIN lesions from high-grade CIN lesions. The results demonstrate that the quantitative colposcopic imaging system could provide objective screening and diagnostic information for early detection of cervical cancer.

Paper Details

Date Published: 1 March 2010
PDF: 4 pages
J. Biomed. Opt. 15(2) 026001 doi: 10.1117/1.3365940
Published in: Journal of Biomedical Optics Volume 15, Issue 2
Show Author Affiliations
Tao Wu, Beckman Laser Institute and Medical Clinic (United States)
Tak-Hong Cheung, The Chinese Univ. of Hong Kong (Hong Kong, China)
So-Fan Yim, The Chinese Univ. of Hong Kong (Hong Kong, China)
Jianan Y. Qu, Hong Kong Univ. of Science and Technology (Hong Kong, China)

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