Auto-fluorescence lifetime and light reflectance spectroscopy for breast cancer diagnosis: potential tools for intraoperative margin detection |
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| Authors: | Sharma Vikrant Shivalingaiah Shivaranjani Peng Yan Euhus David Gryczynski Zygmunt Liu Hanli |
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| Affiliation: | 1Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA;2Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA;3Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA;4Department of Physics and Astronomy, Texas Christian University, Fort Worth, TX 76107, USA |
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| Abstract: | This study investigates the use of two spectroscopic techniques, auto-fluorescence lifetime measurement (AFLM) and light reflectance spectroscopy (LRS), for detecting invasive ductal carcinoma (IDC) in human ex vivo breast specimens. AFLM used excitation at 447 nm with multiple emission wavelengths (532, 562, 632, and 644 nm), at which auto-fluorescence lifetimes and their weight factors were analyzed using a double exponent model. LRS measured reflectance spectra in the range of 500-840 nm and analyzed the spectral slopes empirically at several distinct spectral regions. Our preliminary results based on 93 measured locations (i.e., 34 IDC, 31 benign fibrous, 28 adipose) from 6 specimens show significant differences in 5 AFLM-derived parameters and 9 LRS-based spectral slopes between benign and malignant breast samples. Multinomial logistic regression with a 10-fold cross validation approach was implemented with selected features to classify IDC from benign fibrous and adipose tissues for the two techniques independently as well as for the combined dual-modality approach. The accuracy for classifying IDC was found to be 96.4 ± 0.8%, 92.3 ± 0.8% and 96 ± 1.3% for LRS, AFLM, and dual-modality, respectively. |
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