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- W1526963168 abstract "Clinical diagnosis of prostate cancer is most often done by transrectal ultrasound-guided needle biopsy. Because of the low resolution of ultrasound, however, the urologist cannot usually distinguish between cancerous and healthy tissue. Therefore, most biopsies follow standard protocols based on long-term physician experience. Recent studies indicate that these protocols may have a significant rate of false negative diagnoses. This research develops optimized biopsy protocols. We use real prostate specimens removed by prostatectomy to develop a 3D distribution map of cancer in the prostate. We develop also a probability model of the needle insertion procedure. Using this model, the tumor map, and the geometry of the biopsy needle, we obtain estimates for the probability of obtaining a positive biopsy in various zones of prostates with cancer. We develop a nonlinear optimization problem that determines the protocols that maximize the probability of cancer detection for a given number of needles, and present new optimized protocols.KeywordsProstate CancerCoarse GridProstate BiopsyProstate Cancer DetectionBiopsy ProtocolThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W1526963168 date "2001-01-01" @default.
- W1526963168 modified "2023-09-24" @default.
- W1526963168 title "Optimization in Prostate Cancer Detection" @default.
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- W1526963168 doi "https://doi.org/10.1007/3-540-45468-3_133" @default.
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