Diagnostic power of diffuse reflectance spectroscopy for targeted detection of breast lesions with microcalcifications
Name
Soares-2012-Diagnostic power of diffuse reflectance spectroscopy for targeted detection of breast lesions with microcalcifications.pdf
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Author(s)
Soares, Jaqueline S.
Barman, Ishan
Dingari, Narahara Chari
Volynskaya, Zoya
Liu, Wendy
Klein, Nina
Plecha, Donna
Dasari, Ramachandra Rao
Fitzmaurice, Maryann
Volynskaya, Zoya
Date Issued
December 2012
Journal
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences (U.S.)
Citation
Soares, J. S., I. Barman, N. C. Dingari, Z. Volynskaya, W. Liu, N. Klein, D. Plecha, R. R. Dasari, and M. Fitzmaurice. “Diagnostic power of diffuse reflectance spectroscopy for targeted detection of breast lesions with microcalcifications.” Proceedings of the National Academy of Sciences 110, no. 2 (January 8, 2013): 471-476.Copyright © 2012 National Academy of Sciences.
Version
Final published version
Abstract
Microcalcifications geographically target the location of abnormalities within the breast and are of critical importance in breast cancer diagnosis. However, despite stereotactic guidance, core needle biopsy fails to retrieve microcalcifications in up to 15% of patients. Here, we introduce an approach based on diffuse reflectance spectroscopy for detection of microcalcifications that focuses on variations in optical absorption stemming from the calcified clusters and the associated cross-linking molecules. In this study, diffuse reflectance spectra are acquired ex vivo from 203 sites in fresh biopsy tissue cores from 23 patients undergoing stereotactic breast needle biopsies. By correlating the spectra with the corresponding radiographic and histologic assessment, we have developed a support vector machine-derived decision algorithm, which shows high diagnostic power (positive predictive value and negative predictive value of 97% and 88%, respectively) for diagnosis of lesions with microcalcifications. We further show that these results are robust and not due to any spurious correlations. We attribute our findings to the presence of proteins (such as elastin), and desmosine and isodesmosine cross-linkers in the microcalcifications. It is important to note that the performance of the diffuse reflectance decision algorithm is comparable to one derived from the corresponding Raman spectra, and the considerably higher intensity of the reflectance signal enables the detection of the targeted lesions in a fraction of the spectral acquisition time. Our findings create a unique landscape for spectroscopic validation of breast core needle biopsy for detection of microcalcifications that can substantially improve the likelihood of an adequate, diagnostic biopsy in the first attempt.
MIT Department
Massachusetts Institute of Technology. Department of Chemistry
Massachusetts Institute of Technology. Spectroscopy Laboratory
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DOI of Published Version
https://doi.org/10.1073/pnas.1215473110
