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1796 PREDICTION OF INDOLENT PROSTATE CANCER FIG. 5. Nomogram for full model. Pre.Tx., pretreatment. Clin., clinical. Pri.Bx.Gl, primary biopsy Gleason score. Sec.Bx.Gl, secondary biopsy Gleason score. U/S, ultrasound. Prob., probable. 50� incidence of clinically indolent PCa versus a rate of 14.6� in those found to have PCa on first biopsy.21 Indolent PCa also appears to be more common in men with free/total PSA 0.15 or greater.8 We did not have sufficient data to incorporate the number of previous negative biopsies or free/ total PSA in our modeling but these factors may be useful in future research. We developed these nomograms for predicting the possibility that a man has an indolent cancer. The base model requires minimal data input, while the full model requires considerable analysis of systematic biopsy. The base model appears to be better calibrated (fig. 2), which means that for a group of patients the mean predicted probability is close to the proportion of men with indolent cancer. However, the full model is more discriminating (table 2), which means that it can better rank individual patients with respect to risk. Ideally, then, one would use the full model to obtain a predicted probability for the patient, and then adjust the prediction to correct for the calibration error. We plan to incorporate this adjustment in our free software, which can be obtained at www.nomograms.org. New models were developed to distinguish indolent from clinically important cancer with relatively high areas under the ROC curve (0.64 to 0.79). However, these models may be more useful for ruling out, rather than ruling in, indolent cancer, given that they rarely predict with very high probabilities. The nomograms would be useful for counseling the man with low predicted probability of indolent cancer, reassuring him that aggressive therapy appears warranted. Currently, a watchful waiting policy for a man with indolent cancer is determined subjectively based on disease characteristics, health and patient preferences. Our nomogram may provide a useful tool for assisting in this decision. Although the nomogram accurately discriminates between men with and without indolent cancer, the tool is insufficient by itself to direct a man toward watchful waiting. For example, an indolent cancer in an older man may be considered ideal for conservative management but an indolent cancer in a young man may still warrant aggressive therapy, since the patient may have a long life expectancy during which the cancer may progress from its present, presumably indolent, state. With this nomogram, we can only hope to provide objective information for use as a basis for this decision, rather than provide an absolute solution to the management dilemma. CONCLUSIONS Nomograms have been developed to predict the probability that a man with prostate cancer has an indolent tumor. They each appear to have excellent discriminatory ability and good calibration. Drs. Kazuho Suyama, Takuji Utsunomiya, Shigehiro Soh and John Gore at Baylor College of Medicine, and Drs. Peter G. Hammerer, Alexander Haese and Rolf-Peter Henke at Hamburg University Hospital helped collect the data. REFERENCES 1. Jemal, A., Thomas, A., Murray, T. and Thun, M.: Cancer statistics, 2002. CA Cancer J Clin, 52: 23, 2002 2. Ohori, M., Wheeler, T. M., Dunn, J. K., Stamey, T. A. and Scardino, P. T.: The pathological features and prognosis of prostate cancer detectable with current diagnostic tests. J Urol, 152: 1714, 1994 3. Noguchi, M., Stamey, T. A., McNeal, J. E. and Yemoto, C. M.: Relationship between systematic biopsies and histological features of 222 radical prostatectomy specimens: lack of prediction of tumor significance for men with nonpalpable prostate cancer. J Urol, 166: 104, 2001 4. Partin, A. W., Kattan, M. W., Subong, E. N., Walsh, P. C., Wojno, K. J., Oesterling, J. E. et al: Combination of prostate-specific antigen, clinical stage, and Gleason score to predict patholog-