Diagnosing breast cancer by using Raman spectroscopy. Academic Article uri icon

Overview

abstract

  • We employ Raman spectroscopy to diagnose benign and malignant lesions in human breast tissue based on chemical composition. In this study, 130 Raman spectra are acquired from ex vivo samples of human breast tissue (normal, fibrocystic change, fibroadenoma, and infiltrating carcinoma) from 58 patients. Data are fit by using a linear combination model in which nine basis spectra represent the morphologic and chemical features of breast tissue. The resulting fit coefficients provide insight into the chemical/morphological makeup of the tissue and are used to develop diagnostic algorithms. The fit coefficients for fat and collagen are the key parameters in the resulting diagnostic algorithm, which classifies samples according to their specific pathological diagnoses, attaining 94% sensitivity and 96% specificity for distinguishing cancerous tissues from normal and benign tissues. The excellent results demonstrate that Raman spectroscopy has the potential to be applied in vivo to accurately classify breast lesions, thereby reducing the number of excisional breast biopsies that are performed.

publication date

  • August 22, 2005

Research

keywords

  • Breast Neoplasms
  • Spectrum Analysis, Raman

Identity

PubMed Central ID

  • PMC1194905

Scopus Document Identifier

  • 24644506678

Digital Object Identifier (DOI)

  • 10.1073/pnas.0501390102

PubMed ID

  • 16116095

Additional Document Info

volume

  • 102

issue

  • 35