An Improved Bio-Optical Method for Tumor Detection and Classification

Abstract

Optical approaches to breast cancer (BC) detection show promise over conventional methods because they have potential to work in the denser tissue of younger patients and because they do not use ionizing radiation which has been shown to induce cancer in some patients. Three technologies will be combined in this effort. (a) Optical probing, using controlled light at specific wavelengths, is becoming a respected approach to cancer tumor detection. A much-published RADAR-based method known as frequency-domain photon migration (FDPM) gives very high sensitivity. (b) "Spectral fingerprint" analysis of fluorescence emission is the basis for cancer and precancer classification affecting surface cells. This has been shown for cervical and lung cancers. (c) Reading images, such as x-ray films, allows the tumor to stand out relative to the "expected" complex image of the breast. An optical hardware system was envisioned and preliminary testing performed. Hardware was to be based on using technically similar systems used in unrelated industrial applications to make hardware development affordable. Specific systems were identified. Ultimately, collaborators could not be found to modify their systems, and system development proved to be prohibitively costly. Discussions with other researchers has provided a voice for this approach within the community, paving the way for valuable contributions to BC detection.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2002
Accession Number
ADA411445

Entities

People

  • James G. Leatham

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Blood Volume
  • Breast Cancer
  • Cancer
  • Detection
  • Detectors
  • Frequency
  • Frequency Domain
  • Health Services
  • Ionizing Radiation
  • Light Sources
  • Medical Personnel
  • Neoplasms
  • Optical Properties
  • Optics
  • Physicians
  • Pilot Studies
  • X Rays

Fields of Study

  • Physics

Readers

  • Oncology (Cancer Research).
  • Oncology and Biomarker-Based Cancer Detection.
  • Systems Analysis and Design