2- and 3-D differentiation of cancerous from benign prostate tissue for diagnosis, monitoring, and planning based on spectrum analysis Conference Paper uri icon

Overview

MeSH Major

  • Kidney Neoplasms

abstract

  • Spectrum analysis of echo signals from the prostate continues to show promise for differentiating cancerous from non-cancerous tissue. Data acquired from 44 patients, including 9 with biopsy-proven cancer, shows this method to be superior to conventional B-mode imethods for identifying cancer. Based on 227 physically independent scans, the ROC-curve area for spectrum analysis was 0.77±0.09; the area for B-mode interpretation was 0.65±0.06. Tissue-type `stained' images based on spectral parameters may improve biopsy guidance, reduce true- and false-negative biopsies, and improve the efficacy of detection by over 50%. 3-D images based on such staining show promise for volumetric evaluations of cancer, which may improve clinical staging, treatment planning and treatment monitoring.

publication date

  • December 1997

Research

keywords

  • Conference Paper

Additional Document Info

start page

  • 1131

end page

  • 1135

volume

  • 2