Share Email Print

Proceedings Paper

Photoacoustic spectroscopy based investigatory approach to discriminate breast cancer from normal: a pilot study
Author(s): Mallika Priya; Bola Sadashiva Satish Rao; Subhash Chandra; Satadru Ray; Stanley Mathew M.D.; Anirbit Datta; Subramanya G. Nayak; Krishna Kishore Mahato
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In spite of many efforts for early detection of breast cancer, there is still lack of technology for immediate implementation. In the present study, the potential photoacoustic spectroscopy was evaluated in discriminating breast cancer from normal, involving blood serum samples seeking early detection. Three photoacoustic spectra in time domain were recorded from each of 20 normal and 20 malignant samples at 281nm pulsed laser excitations and a total of 120 spectra were generated. The time domain spectra were then Fast Fourier Transformed into frequency domain and 116.5625 - 206.875 kHz region was selected for further analysis using a combinational approach of wavelet, PCA and logistic regression. Initially, wavelet analysis was performed on the FFT data and seven features (mean, median, area under the curve, variance, standard deviation, skewness and kurtosis) from each were extracted. PCA was then performed on the feature matrix (7x120) for discriminating malignant samples from the normal by plotting a decision boundary using logistic regression analysis. The unsupervised mode of classification used in the present study yielded specificity and sensitivity values of 100% in each respectively with a ROC - AUC value of 1. The results obtained have clearly demonstrated the capability of photoacoustic spectroscopy in discriminating cancer from the normal, suggesting its possible clinical implications.

Paper Details

Date Published: 29 February 2016
PDF: 5 pages
Proc. SPIE 9689, Photonic Therapeutics and Diagnostics XII, 968943 (29 February 2016); doi: 10.1117/12.2210900
Show Author Affiliations
Mallika Priya, Manipal Univ. (India)
Bola Sadashiva Satish Rao, Manipal Univ. (India)
Subhash Chandra, Manipal Univ. (India)
Satadru Ray, Manipal Univ. (India)
Stanley Mathew M.D., Manipal Univ. (India)
Anirbit Datta, Manipal Univ. (India)
Manipal Institute of Technology (India)
Subramanya G. Nayak, Manipal Institute of Technology (India)
Krishna Kishore Mahato, Manipal Univ. (India)

Published in SPIE Proceedings Vol. 9689:
Photonic Therapeutics and Diagnostics XII
Hyun Wook Kang; Guillermo J. Tearney M.D.; Melissa C. Skala; Bernard Choi; Andreas Mandelis; Brian J. F. Wong M.D.; Justus F. Ilgner M.D.; Nikiforos Kollias; Paul J. Campagnola; Kenton W. Gregory M.D.; Laura Marcu; Haishan Zeng, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?