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Abstract:
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Recent results are presented on mathematical modeling of prostate cancer detection probability as a function of prostate gland volume, tumor volume, and numbers of biopsy cores in the peripheral and transition zones of the prostate. One application is to determine the number of cores needed to attain a given detection probability for a tumor of given size and a patient with given prostate gland size. Another application concerns re-interpretation of recent Prostate Cancer Prevention Trial data. For the finasteride group a reduced overall rate of tumors was observed along with, however, a higher rate of high grade tumors. The model, with the property that finasteride reduces prostate volume, as in treating benign prostate hyperplasia, supports that finasteride decreases the risk of not only low grade but also high grade tumors. Extension to model total cores "hit" is also discussed.
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