Development of a Hybrid Optical Biopsy Probe to Improve Prostate Cancer Diagnosis

Abstract

Hypothesis: a multi-modal optical spectroscopic method and an integrated needle probe can be developed for guiding needle biopsy for prostate cancer diagnosis. Multi-modal optical measurements to be utilized for the study are (1) light scattering spectroscopy (LSS), (2) auto-fluorescence spectroscopy (AFS), and (2) auto-fluorescence life-time measurements (AFLT). Our specific aims are: Aim 1: to develop a multi-modal, optical spectroscopic instrument, which allows the measurements of (1) LSS, (2) AFS, and (3) AFLT. The proposed system will be portable, can be used for in vivo measurements, and collect and present the data in real time. Aim 2: to integrate the optical fibers, which collect light scattering and auto-fluorescence from the prostate tissue, into a transrectal-ultrasound, needle-biopsy probe. In the development phase, the optical signatures of prostate cancer can be collected with the biopsy tissues and identified along every tract of needle biopsies. Aim 3: to collect optical signals of control and cancer tissues ex vivo along with the regular human needle biopsy, followed by classification algorithm development to discriminate cancer tissues. Aim 4: to perform in vivo measurement from human subjects to obtain the accuracy and sensitivity of the integrated probe in order to provide real-time, on-site, improved guidance for prostate cancer tissue biopsy.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2011
Accession Number
ADA559272

Entities

People

  • Hanli Liu

Organizations

  • University of Texas at Arlington

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Biomedical Research
  • Cancer
  • Data Acquisition
  • Data Analysis
  • Data Sets
  • Light Scattering
  • Measurement
  • Neoplasms
  • Optical Fibers
  • Optical Signatures
  • Prostate
  • Prostate Cancer
  • Scattering
  • Spectroscopy
  • Standards

Fields of Study

  • Physics

Readers

  • Medical Imaging.