Prostate imaging based on RF spectrum analysis and non-linear classifiers for guiding biopsies and targeting radiotherapy

E. J. Feleppa, J. A. Ketterling, A. Kalisz, S. Urban, C. R. Porter, J. Gillespie, P. B. Schiff, R. D. Ennis, C. S. Wuu, J. W. Moul, I. A. Sesterhenn, P. T. Scardino

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Conventional B-mode ultrasound is the standard means of imaging the prostate for guiding prostate biopsies and planning radiotherapy (i.e., brachytherapy and external-beam radiation) of prostate cancer (CaP). Yet B-mode images essentially do not allow visualization of cancerous lesions of the prostate. Ultrasonic tissue-typing imaging based on spectrum analysis of radio-frequency (RF) echo signals has shown promise for overcoming the limitations of B-mode imaging in distinguishing cancerous from common forms of non-cancerous prostate tissue. Such tissue typing utilizes non-linearmethods, such as nearest-neighbor and neural-network techniques, to classify tissues based on spectral-parameter and clinical-variable values. Our research seeks to develop imaging techniques based on these methods for the purpose of improving the guidance of prostate biopsies and the targeting of brachytherapy and external-beam radiotherapy of prostate cancer. Images based on these methods have been imported into real-time instrumentation for biopsy guidance and into commercial dose-planning software for real-time brachytherapy. Three-dimensional renderings show locations and volumes of cancer foci. These methods offer exciting possibilities for effective low-cost depiction of prostate cancer in real-time and off-line images. Real-time imaging showing cancerous regions of the prostate can be of value in directing biopsies, determining whether biopsy is warranted, assisting in clinical staging, targeting brachytherapy, planning conformal external-beam radiation procedures, and monitoring treatment.

Original languageEnglish (US)
Pages (from-to)371-379
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4325
DOIs
StatePublished - 2001
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Keywords

  • Brachytherapy
  • External-beam radiation
  • Neural networks
  • Non-linear classification
  • Prostate cancer
  • ROC curves
  • Spectrum analysis
  • Therapy guidance
  • Tissue-typing
  • Ultrasonic imaging

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