25 April 2016 Ex vivo Mueller polarimetric imaging of the uterine cervix: a first statistical evaluation
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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.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Jean Rehbinder, Jean Rehbinder, Huda Haddad, Huda Haddad, Stanislas Deby, Stanislas Deby, Benjamin Teig, Benjamin Teig, André Nazac, André Nazac, Tatiana Novikova, Tatiana Novikova, Angelo Pierangelo, Angelo Pierangelo, François Moreau, François Moreau, } "Ex vivo Mueller polarimetric imaging of the uterine cervix: a first statistical evaluation," Journal of Biomedical Optics 21(7), 071113 (25 April 2016). https://doi.org/10.1117/1.JBO.21.7.071113 . Submission:
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