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Journal of Biomedical Optics • Open Access

Ex vivo Mueller polarimetric imaging of the uterine cervix: a first statistical evaluation
Author(s): Jean Rehbinder; Huda Haddad; Stanislas Deby; Benjamin Teig; André Nazac; Tatiana Novikova; Angelo Pierangelo; François Moreau

Paper Abstract

Early detection through screening plays a major role in reducing the impact of cervical cancer on patients. When detected before the invasive stage, precancerous lesions can be eliminated with very limited surgery. Polarimetric imaging is a potential alternative to the standard screening methods currently used. In a previous proof-of-concept study, significant contrasts have been found in polarimetric images acquired for healthy and precancerous regions of excised cervical tissue. To quantify the ability of the technique to differentiate between healthy and precancerous tissue, polarimetric images of seventeen cervical conization specimens (cone-shaped or cylindrical wedges from the uterine cervix) are compared with results from histopathological diagnoses, which is considered to be the “gold standard.” The sensitivity and specificity of the technique are calculated for images acquired at wavelengths of 450, 550, and 600 nm, aiming to differentiate between high-grade cervical intraepithelial neoplasia (CIN 2-3) and healthy squamous epithelium. To do so, a sliding threshold for the scalar retardance parameter was used for the sample zones, as labeled after histological diagnosis. An optimized value of ∼83% is achieved for both sensitivity and specificity for images acquired at 450 nm and for a threshold scalar retardance value of 10.6 deg. This study paves the way for an application of polarimetry in the clinic.

Paper Details

Date Published: 25 April 2016
PDF: 8 pages
J. Biomed. Opt. 21(7) 071113 doi: 10.1117/1.JBO.21.7.071113
Published in: Journal of Biomedical Optics Volume 21, Issue 7
Show Author Affiliations
Jean Rehbinder, Ecole Polytechnique (France)
Huda Haddad, Tafila Technical Univ. (Jordan)
Stanislas Deby, Ecole Polytechnique (France)
Benjamin Teig, CHU Bicêtre (France)
André Nazac, CHU Bicêtre (France)
Univ. Libre de Bruxelles (Belgium)
Tatiana Novikova, Ecole Polytechnique (France)
Angelo Pierangelo, Ecole Polytechnique (France)
François Moreau, Ecole Polytechnique (France)

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