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.
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References
Bankhead C.: “Sextant biopsy helps in prognosis of Pca, but its not foolproof,” Urology Times, Vol. 25, (1997) No. 8. (August).
Chang J.J., Shinohara K., Bhargava V., Presti, J.C. Jr.: “Prospective evaluation of lateral biopsies of the peripheral zone for prostate cancer detection,” J. Urology, Vol. 160, (1997), pp. 2111–2114.
Eskew, A.L., Bare, R.L., McCullough D.L.: “Systematic 5-region prostate biopsy is superior to sextant method for detecting carcinoma of the prostate.” J. Urology, Vol. 157 (1997), pp. 199–202.
Hodge K.K, McNeal J.E., Terris M.K., and Stamey T.A.: “Random systematic versus directed ultrasound guided trans-rectal core biopsies of the prostate,” J. Urology Vol. 142, (1989) pp. 71–74
ILOG CPLex 6.5 User Manual, ILOG, 1999.
Nash, S.G, and Sofer, A: Linear and Nonlinear Programming, McGraw Hill, 1996.
Rabbani F., Stroumbakis N., Kava B.R., Cookson M.S., and Fair W.R.: “Incidence and clinical significance of false-negtive sextant prostate biopsies,” J. Urology Vol. 159 (1998), pp. 1247–1250.
Sofer, A., Zeng, J., Opell, B., Bauer, J., Mun, S.K., “Optimal Biopsy Protocols for Prostate Cancer,” submitted for publication in Interfaces, October 2000.
Zeng, J., Bauer J.J., Yao X., Zhang W., Sesterhenn I.A., Connelly R.R., Moul J., and Mun S.K.: “Building an accurate 3D map of prostate cancer using computerized models of 280 whole-mounted radical prostatectomy specimens.” Proc. of SPIE Medical Imaging Conference, Vol. 3976, 2000, pp. 466–477.
Zeng, J., Bauer, J., Sofer, A., Yao, X., Opell, B., Zhang, W., Sestrehenn, I. A., Moul, J. W., Lynch, J., Mun, S. K.: Distribution of Prostate Cancer for Optimized Biopsy Protocols. In Proceedings of the Medical Image Computing and Computer Assisted Intervention Conference, 2000, pp. 287–296.
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© 2001 Springer-Verlag Berlin Heidelberg
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Sofer, A., Zeng, J., Mun, S.K. (2001). Optimization in Prostate Cancer Detection. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3_133
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DOI: https://doi.org/10.1007/3-540-45468-3_133
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