Paper
26 May 1999 Optimization of prostate biopsy
John J. Bauer, Jianchao Zeng, James Weir, Wei Zhang, Isabell A. Sesterhenn, Roger R. Connelly, Judd W. Moul, Seong Ki Mun
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John J. Bauer, Jianchao Zeng, James Weir, Wei Zhang, Isabell A. Sesterhenn, Roger R. Connelly, Judd W. Moul, and Seong Ki Mun "Optimization of prostate biopsy", Proc. SPIE 3658, Medical Imaging 1999: Image Display, (26 May 1999); https://doi.org/10.1117/12.349441
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KEYWORDS
Biopsy

Prostate

3D modeling

Cancer

Prostate cancer

Tumors

Tumor growth modeling

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