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Development of a preliminary nomogram to predict progression of bone scan for castration-resistant prostate cancer

机译:初步列线图的开发以预测去势抵抗性前列腺癌的骨扫描进展

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摘要

The optimal time to perform bone scan to detect new metastasis during the castration-resistant prostate cancer (CRPC) stage remains undefined. This study attempted to identify predictors of progression of bone scan for CRPC, and use such information to develop a nomogram to predict the optimal time of examinations for bone scan. The analysis included 167 CRPC patients. Progression of bone lesion, as evaluated by bone scan, occurred in 64 (38.3%) cases. A logistic regression identified the following three risk factors: short time to prostate-specific antigen (PSA) progression, severe pain, and short PSA doubling time (PSADT) (P<0.05 for all). A nomogram model was constructed to predict progression of bone scan using time to PSA progression and severe pain as dichotomized variables and PSADT as a continuous variable. The result indicated that a predictive nomogram model showed a bootstrap-corrected concordance index of 0.762 and good calibration using the three readily available variables, and there were worse prognosis and higher progression rate of bone scan for patients with time to PSA progression <6.6 months, severe pain, and short PSADT (<2 months). In conclusion, short time to PSA progression, severe pain, and short PSADT are three risk factors of progression of bone scan for CRPC patients. The predictive nomogram model may be a valuable numerical assessment tool for patient consultation and treatment decision.
机译:在去势抵抗性前列腺癌(CRPC)阶段进行骨扫描以检测新转移的最佳时间仍然不确定。这项研究试图确定CRPC骨扫描进展的预测因素,并使用此类信息开发诺模图以预测骨扫描检查的最佳时间。分析包括167名CRPC患者。通过骨扫描评估,骨病变的进展发生在64(38.3%)例中。 Logistic回归确定了以下三个风险因素:前列腺特异性抗原(PSA)进展时间短,严重疼痛和PSA倍增时间(PSADT)短(所有P均<0.05)。构建了列线图模型,以将到PSA进展的时间和严重疼痛作为二分变量,并将PSADT作为连续变量来预测骨扫描的进展。结果表明,预测性诺模图模型显示的自举校正后的一致性指数为0.762,并且使用三个容易获得的变量进行了良好的校准,并且PSA进展时间<6.6个月的患者的骨扫描预后较差,并且进展较高,剧烈疼痛,PSADT短(<2个月)。总之,PSA进展时间短,剧烈疼痛和PSADT短是CRPC患者骨扫描进展的三个危险因素。预测列线图模型可能是用于患者咨询和治疗决策的有价值的数字评估工具。

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