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Proceedings Paper

Optimization of prostate biopsy
Author(s): John J. Bauer; Jianchao Zeng; James Weir; Wei Zhang; Isabell A. Sesterhenn; Roger R. Connelly; Judd W. Moul; Seong Ki Mun
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Paper Abstract

Urologists routinely use the systematic sextant needle biopsy technique to detect prostate cancer. However, recent evidence suggests that this technique has a significant sampling error. We have developed a novel 3D computer assisted prostate biopsy simulator based upon 201 whole- mounted step-sectioned radical prostatectomy specimens to compare the diagnostic accuracy of various prostate needle biopsy protocols. Computerized prostate models have been developed to accurately depict the anatomy of the prostate and all individual tumor foci. We obtained 18-biopsies of each prostate model to determine the detection rates of various biopsy protocols. As a result, the 10- and 12- pattern biopsy protocols had a 99.0 percent detection rate, while the traditional sextant biopsy protocol rate was only 72.6 percent. The 5-region biopsy protocol had a 90.5 percent detection rate. the lateral sextant pattern revealed a detection rate of 95.5 percent, whereas the 4-pattern lateral biopsy protocol had a 93.5 percent detection rate. Our results suggest that all the biopsy protocols that use laterally placed biopsies based upon the five region anatomical model are superior to the routinely used sextant prostate biopsy pattern. Lateral biopsies in the mid and apical zones of the gland are the most important.

Paper Details

Date Published: 26 May 1999
PDF: 8 pages
Proc. SPIE 3658, Medical Imaging 1999: Image Display, (26 May 1999); doi: 10.1117/12.349441
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)
James Weir, 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)
Roger R. Connelly, Uniformed Services Univ. of the Health Sciences (United States)
Judd W. Moul, Walter Reed Army Medical Ctr. and Uniformed Services Univ. of the Health Sciences (United States)
Seong Ki Mun, Georgetown Univ. Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 3658:
Medical Imaging 1999: Image Display
Seong Ki Mun; Yongmin Kim, Editor(s)

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