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Proceedings Paper

Prostate imaging based on rf spectrum analysis and nonlinear classifiers for guiding biopsies and targeting radiotherapy
Author(s): Ernest Joseph Feleppa; J. A. Ketterling; Andrew Kalisz; Stella Urban; C. R. Porter; John Gillespie; Peter Bernhard Schiff; Ronald D. Ennis; Cheng-Shie Wuu; Judd W. Moul; Isabell A. Sesterhenn; P. J. Scardino
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Paper 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-linear methods, 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. 3D 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.

Paper Details

Date Published: 30 May 2001
PDF: 9 pages
Proc. SPIE 4325, Medical Imaging 2001: Ultrasonic Imaging and Signal Processing, (30 May 2001); doi: 10.1117/12.428213
Show Author Affiliations
Ernest Joseph Feleppa, Riverside Research Institute (United States)
J. A. Ketterling, Riverside Research Institute (United States)
Andrew Kalisz, Riverside Research Institute (United States)
Stella Urban, Riverside Research Institute (United States)
C. R. Porter, Veterans Administration Medical Ctr./Washington, D.C. (United States)
John Gillespie, National Institutes of Health (United States)
Peter Bernhard Schiff, New York Columbia Presbyterian Medical Ctr. (United States)
Ronald D. Ennis, New York Columbia Presbyterian Medical Ctr. (United States)
Cheng-Shie Wuu, New York Columbia Presbyterian Medical Ctr. (United States)
Judd W. Moul, Walter Reed Army Medical Ctr. (United States)
Isabell A. Sesterhenn, Armed Forces Institute of Pathology (United States)
P. J. Scardino, Memorial Sloan-Kettering Cancer Ctr. (United States)

Published in SPIE Proceedings Vol. 4325:
Medical Imaging 2001: Ultrasonic Imaging and Signal Processing
Michael F. Insana; K. Kirk Shung, Editor(s)

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