Research Papers

Diagnosing breast cancer using diffuse reflectance spectroscopy and intrinsic fluorescence spectroscopy

[+] Author Affiliations
Zoya Volynskaya, Abigail S. Haka, Kate L. Bechtel

Massachusetts Institute of Technology, Laser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory, 77 Massachusetts Avenue, 6-218M, Cambridge, Massachusetts 02139

Maryann Fitzmaurice, Robert Shenk, Nancy Wang

University Hospitals–Case Medical Center and Case Western Reserve University, Cleveland, Ohio 44106

Jon Nazemi, Ramachandra R. Dasari, Michael S. Feld

Massachusetts Institute of Technology, Laser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory, 77 Massachusetts Avenue, 6-218M, Cambridge, Massachusetts 02139

J. Biomed. Opt. 13(2), 024012 (April 30, 2008). doi:10.1117/1.2909672
History: Received September 14, 2007; Revised December 11, 2007; Accepted December 12, 2007; Published April 30, 2008
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Using diffuse reflectance spectroscopy and intrinsic fluorescence spectroscopy, we have developed an algorithm that successfully classifies normal breast tissue, fibrocystic change, fibroadenoma, and infiltrating ductal carcinoma in terms of physically meaningful parameters. We acquire 202 spectra from 104 sites in freshly excised breast biopsies from 17 patients within 30min of surgical excision. The broadband diffuse reflectance and fluorescence spectra are collected via a portable clinical spectrometer and specially designed optical fiber probe. The diffuse reflectance spectra are fit using modified diffusion theory to extract absorption and scattering tissue parameters. Intrinsic fluorescence spectra are extracted from the combined fluorescence and diffuse reflectance spectra and analyzed using multivariate curve resolution. Spectroscopy results are compared to pathology diagnoses, and diagnostic algorithms are developed based on parameters obtained via logistic regression with cross-validation. The sensitivity, specificity, positive predictive value, negative predictive value, and overall diagnostic accuracy (total efficiency) of the algorithm are 100, 96, 69, 100, and 91%, respectively. All invasive breast cancer specimens are correctly diagnosed. The combination of diffuse reflectance spectroscopy and intrinsic fluorescence spectroscopy yields promising results for discrimination of breast cancer from benign breast lesions and warrants a prospective clinical study.

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© 2008 Society of Photo-Optical Instrumentation Engineers

Citation

Zoya Volynskaya ; Abigail S. Haka ; Kate L. Bechtel ; Maryann Fitzmaurice ; Robert Shenk, et al.
"Diagnosing breast cancer using diffuse reflectance spectroscopy and intrinsic fluorescence spectroscopy", J. Biomed. Opt. 13(2), 024012 (April 30, 2008). ; http://dx.doi.org/10.1117/1.2909672


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