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Proceedings Paper

Ultrasonic tissue-type imaging (TTI) for planning treatment of prostate cancer
Author(s): Ernest Joseph Feleppa; Jeffrey A. Ketterling; Christopher R. Porter; John Gillespie; Cheng-Shie Wuu; Stella Urban; Andrew Kalisz; Ronald D. Ennis; Peter Bernhard Schiff
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Paper Abstract

Our research is intended to develop ultrasonic methods for characterizing cancerous prostate tissue and thereby to improve the effectiveness of biopsy guidance, therapy targeting, and treatment monitoring. We acquired radio-frequency (RF) echo-signal data and clinical variables, e.g., PSA, during biopsy examinations. We computed spectra of the RF signals in each biopsied region, and trained neural network classifers with over 3,000 sets of data using biopsy data as the gold standard. For imaging, a lookup table returned scores for cancer likelihood on a pixel-by-pixel basis from spectral-parameter and PSA values. Using ROC analyses, we compared classification performance of artificial neural networks (ANNs) to conventional classification with a leave-one-patient-out approach intended to minimize the chance of bias. Tissue-type images (TTIs) were compared to prostatectomy histology to further assess classification performance. ROC-curve areas were greater for ANNs than for the B-mode-based classification by more than 20%, e.g., 0.75 +/- 0.03 for neural-networks vs. 0.64 +/- 0.03 for B-mode LOSs. ANN sensitivity was 17% better than the sensitivity range of ultrasound-guided biopsies. TTIs showed tumors that were entirely unrecognized in conventional images and undetected during surgery. We are investigating TTIs for guiding prostrate biopsies, and for planning radiation dose-escalation and tissue-sparing options, and monitoring prostrate cancer.

Paper Details

Date Published: 28 April 2004
PDF: 8 pages
Proc. SPIE 5373, Medical Imaging 2004: Ultrasonic Imaging and Signal Processing, (28 April 2004); doi: 10.1117/12.543632
Show Author Affiliations
Ernest Joseph Feleppa, Riverside Research Institute (United States)
Jeffrey A. Ketterling, Riverside Research Institute (United States)
Christopher R. Porter, Virginia Mason Medical Ctr. (United States)
John Gillespie, National Cancer Institute (United States)
Cheng-Shie Wuu, Columbia Univ. (United States)
Stella Urban, Riverside Research Institute (United States)
Andrew Kalisz, Riverside Research Institute (United States)
Ronald D. Ennis, Columbia Univ. (United States)
Peter Bernhard Schiff, Columbia Univ. (United States)

Published in SPIE Proceedings Vol. 5373:
Medical Imaging 2004: Ultrasonic Imaging and Signal Processing
William F. Walker; Stanislav Y. Emelianov, Editor(s)

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