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Proceedings Paper

Simulated prostate biopsy: prostate cancer distribution and clinical correlation
Author(s): John J. Bauer; Jianchao Zeng; Wei Zhang; Isabell A. Sesterhenn; Robert Dean; Judd W. Moul; Seong Ki Mun
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Paper Abstract

Our group has recently obtained data based upon whole- mounted step-sectioned radical prostatectomy specimens using a 3D computer assisted prostate biopsy simulator that suggests an increased detection rate is possible using laterally placed biopsies. A new 10-core biopsy pattern was demonstrated to be superior to the traditional sextant biopsy. This patter includes the traditional sextant biopsy cores and four laterally placed biopsies in the right and left apex and mid portion of the prostate gland. The objective of this study is to confirm the higher prostate cancer defection rate obtained using our simulated 10-core biopsy pattern in a small clinical trial. We retrospectively reviewed 35 consecutive patients with a pathologic diagnosis of prostate cancer biopsied by a single urologist using the 10-core prostate biopsy patterns were compared with respect to prostate cancer detection rate. Of the 35 patients diagnosed with prostate cancer, 54.3 percent were diagnosed when reviewing the sextant biopsy data only. Review of the 10-core pattern revealed that an additional 45.7 percent were diagnosed when reviewing the sextant biopsy data only. Review of the 10-core pattern revealed that an additional 45.7 percent of patients were diagnosed solely with the laterally placed biopsies. Our results suggest that biopsy protocols that use laterally placed biopsies based upon a five region anatomical model are superior to the routinely used sextant prostate biopsy pattern.

Paper Details

Date Published: 18 April 2000
PDF: 10 pages
Proc. SPIE 3976, Medical Imaging 2000: Image Display and Visualization, (18 April 2000); doi: 10.1117/12.383030
Show Author Affiliations
John J. Bauer, Walter Reed Army Medical Ctr. and Uniformed Services Univ. of the Health Sciences (United States)
Jianchao Zeng, Georgetown Univ. Medical Ctr. (United States)
Wei Zhang, Armed Forces Institute of Pathology (United States)
Isabell A. Sesterhenn, Armed Forces Institute of Pathology (United States)
Robert Dean, Walter Reed Army Medical Ctr. and Uniformed Services Univ. of the Health Sciences (United States)
Judd W. Moul, Uniformed Services Univ. of the Health Sciences (United States)
Seong Ki Mun, Georgetown Univ. Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 3976:
Medical Imaging 2000: Image Display and Visualization
Seong Ki Mun, Editor(s)

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