TY - JOUR
T1 - A comparative evaluation of diffuse reflectance and Raman spectroscopy in the detection of cervical cancer
AU - Shaikh, Rubina
AU - Prabitha, Vasumathi G.
AU - Dora, Tapas Kumar
AU - Chopra, Supriya
AU - Maheshwari, Amita
AU - Deodhar, Kedar
AU - Rekhi, Bharat
AU - Sukumar, Nita
AU - Krishna, C. Murali
AU - Subhash, Narayanan
N1 - Publisher Copyright:
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
PY - 2017/2/1
Y1 - 2017/2/1
N2 - Optical spectroscopic techniques show improved diagnostic accuracy for non-invasive detection of cervical cancers. In this study, sensitivity and specificity of two in vivo modalities, i.e diffuse reflectance spectroscopy (DRS) and Raman spectroscopy (RS), were compared by utilizing spectra recorded from the same sites (67 tumor (T), 22 normal cervix (C), and 57 normal vagina (V)). Data was analysed using principal component – linear discriminant analysis (PC-LDA), and validated using leave-one-out-cross-validation (LOOCV). Sensitivity, specificity, positive predictive value and negative predictive value for classification between normal (N) and tumor (T) sites were 91%, 96%, 95% and 93%, respectively for RS and 85%, 95%, 93% and 88%, respectively for DRS. Even though DRS revealed slightly lower diagnostic accuracies, owing to its lower cost and portability, it was found to be more suited for cervical cancer screening in low resource settings. On the other hand, RS based devices could be ideal for screening patients with centralised facilities in developing countries. (Figure presented.).
AB - Optical spectroscopic techniques show improved diagnostic accuracy for non-invasive detection of cervical cancers. In this study, sensitivity and specificity of two in vivo modalities, i.e diffuse reflectance spectroscopy (DRS) and Raman spectroscopy (RS), were compared by utilizing spectra recorded from the same sites (67 tumor (T), 22 normal cervix (C), and 57 normal vagina (V)). Data was analysed using principal component – linear discriminant analysis (PC-LDA), and validated using leave-one-out-cross-validation (LOOCV). Sensitivity, specificity, positive predictive value and negative predictive value for classification between normal (N) and tumor (T) sites were 91%, 96%, 95% and 93%, respectively for RS and 85%, 95%, 93% and 88%, respectively for DRS. Even though DRS revealed slightly lower diagnostic accuracies, owing to its lower cost and portability, it was found to be more suited for cervical cancer screening in low resource settings. On the other hand, RS based devices could be ideal for screening patients with centralised facilities in developing countries. (Figure presented.).
KW - cancer screening
KW - cervical intraepithelial neoplasia
KW - diffuse reflectance spectroscopy
KW - in vivo
KW - principal component-linear discriminant analysis
KW - Raman spectroscopy
UR - http://www.scopus.com/inward/record.url?scp=85011547147&partnerID=8YFLogxK
U2 - 10.1002/jbio.201500248
DO - 10.1002/jbio.201500248
M3 - Article
C2 - 26929106
AN - SCOPUS:85011547147
SN - 1864-063X
VL - 10
SP - 242
EP - 252
JO - Journal of Biophotonics
JF - Journal of Biophotonics
IS - 2
ER -