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  4. Transperineal prostate biopsy: analysis of a uniform core sampling pattern that yields data on tumor volume limits in negative biopsies

Transperineal prostate biopsy: analysis of a uniform core sampling pattern that yields data on tumor volume limits in negative biopsies

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Author(s)
Kepner, Gordon R.
•
Kepner, Jeremy
Date Issued
June 2010
Journal
Theoretical Biology and Medical Modelling
Publisher
BioMed Central Ltd.
Citation
Kepner, Gordon R., and Jeremy V. Kepner. “Transperineal Prostate Biopsy: Analysis of a Uniform Core Sampling Pattern That Yields Data on Tumor Volume Limits in Negative Biopsies.” Theoretical Biology and Medical Modelling 7.23 (2010): 1-13.
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Final published version
Abstract
Background Analyze an approach to distributing transperineal prostate biopsy cores that yields data on the volume of a tumor that might be present when the biopsy is negative, and also increases detection efficiency. Methods Basic principles of sampling and probability theory are employed to analyze a transperineal biopsy pattern that uses evenly-spaced parallel cores in order to extract quantitative data on the volume of a small spherical tumor that could potentially be present, even though the biopsy did not detect it, i.e., negative biopsy. Results This approach to distributing biopsy cores provides data for the upper limit on the volume of a small, spherical tumor that might be present, and the probability of smaller volumes, when biopsies are negative and provides a quantitative basis for evaluating the effectiveness of different core spacing distances. Conclusions Distributing transperineal biopsy cores so they are evenly spaced provides a means to calculate the probability that a tumor of given volume could be present when the biopsy is negative, and can improve detection efficiency.
MIT Department
Lincoln Laboratory
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
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Creative Commons Attribution
http://creativecommons.org/licenses/by/2.0
Persistent DSpace Link
http://hdl.handle.net/1721.1/69651
DOI of Published Version
https://doi.org/10.1186/1742-4682-7-23
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