Autofluorescence and diffuse reflectance properties of malignant and benign breast tissues

Tara M. Breslin, Fushen Xu, Gregory M. Palmer, Changfang Zhu, Kennedy W. Gilchrist, Nirmala Ramanujam

Research output: Contribution to journalArticlepeer-review

77 Scopus citations

Abstract

Background: Fluorescence spectroscopy is an evolving technology that can rapidly differentiate between benign and malignant tissues. These differences are thought to be due to endogenous fluorophores, including nicotinamide adenine dinucleotide, flavin adenine dinucleotide, and tryptophan, and absorbers such as β-carotene and hemoglobin. We hypothesized that a statistically significant difference would be demonstrated between benign and malignant breast tissues on the basis of their unique fluorescence and reflectance properties. Methods: Optical measurements were performed on 56 samples of tumor or benign breast tissue. Autofluorescence spectra were measured at excitation wavelengths ranging from 300 to 460 nm, and diffuse reflectance was measured between 300 and 600 nm. Principal component analysis to dimensionally reduce the spectral data and a Wilcoxon ranked sum test were used to determine which wavelengths showed statistically significant differences. A support vector machine algorithm compared classification results with the histological diagnosis (gold standard). Results: Several excitation wavelengths and diffuse reflectance spectra showed significant differences between tumor and benign tissues. By using the support vector machine algorithm to incorporate relevant spectral differences, a sensitivity of 70.0% and specifcity of 91.7% were achieved. Conclusions: A statistically significant difference was demonstrated in the diffuse reflectance and fluorescence emission spectra of benign and malignant breast tissue. These differences could be exploited in the development of adjuncts to diagnostic and surgical procedures.

Original languageEnglish (US)
Pages (from-to)65-70
Number of pages6
JournalAnnals of surgical oncology
Volume11
Issue number1
DOIs
StatePublished - Jan 2004

Keywords

  • Breast cancer
  • Detection
  • Fluorescence spectroscopy
  • Imaging

ASJC Scopus subject areas

  • Surgery
  • Oncology

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