Auto-fluorescence lifetime and light reflectance spectroscopy for breast cancer diagnosis: Potential tools for intraoperative margin detection

Vikrant Sharma, Shivaranjani Shivalingaiah, Yan Peng, David Euhus, Zygmunt Gryczynski, Hanli Liu

Research output: Contribution to journalArticle

40 Scopus citations

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.

Original languageEnglish
Pages (from-to)1825-1840
Number of pages16
JournalBiomedical Optics Express
Volume3
Issue number8
DOIs
StatePublished - 1 Aug 2012

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