Optical Spectroscopy and Multiphoton Imaging for the Diagnosis and Characterization of Hyperplasias in the Mouse Mammary Gland

Abstract

In these studies, the potential of optical techniques for early breast cancer detection were tested in animal models and cell culture. Optical spectroscopy, in vivo and in vitro microscopy studies indicate that optical methods show great promise for the early diagnosis of cancer, and may potentially provide biologically relevant information that could aid in treatment decisions. The features extracted from diffuse reflectance spectra measured in vivo from the hamster cheek pouch model of epithelial carcinogenesis, including the hemoglobin saturation, absorption and reduced scattering coefficient, were significantly lower in neoplastic tissues compared to normal tissues (p<0.05). Multiphoton lifetime microscopy experiments of the same animal model revealed that the lifetime of protein-bound NADH decreased with low grade and high grade precancers (consistent with the 2006 progress report) and the lifetime of protein-bound FAD increased with high grade precancer only (p<0.05) in vivo. No significant changes in the mean cellular redox ratio were found with precancer development (p>0.05) in vivo. However, there was an increase in the intracellular variability of the redox ratio with both high and low grade pre-cancers (p<0.05) in vivo. Genetic perturbations that depleted breast cancer cells (MCF7) of lactate dehydrogenase had no effect on the optical redox ratio, which was measured using confocal microscopy (p>0.05).

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2007
Accession Number
ADA471526

Entities

People

  • Melissa C. Skala

Organizations

  • Duke University

Tags

DTIC Thesaurus Topics

  • Absorption
  • Biomedical Engineering
  • Breast Cancer
  • Coefficients
  • Confocal Microscopy
  • Mammary Glands
  • Microscopy
  • Neoplasms
  • Optical Properties
  • Optics
  • Oxygenation
  • Reflectance
  • Scattering
  • Spectra
  • Spectroscopy
  • Statistical Algorithms
  • Statistical Analysis

Fields of Study

  • Physics

Readers

  • Materials Science and Engineering.
  • Molecular Biology and Genetics
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • AI & ML
  • Biotechnology
  • Biotechnology - Cancer Biotech