利用Nomogram模型预测中国人群的前列腺穿刺结果

发布时间：2018-05-21 19:46

本文选题：前列腺穿刺 + PI-RADS　；参考：《浙江大学》2017年硕士论文

【摘要】：目的:以中国人群为基础建立新的Nomogram模型预测前列腺穿刺的结果。方法:通过收集浙江大学医学院附属第一医院2013年1月至2014年7月期间住院接受前列腺穿刺活检的300名病人的信息。分别建立模型1和模型2,模型1的危险因素包括:患者年龄、t-PSA值、f/t比值、前列腺体积(PV)和TRUS结果,模型2在模型1的基础上加入前列腺磁共振PI-RADS评分。利用Nomogram比较模型1与模型2的差异。从而评估加入PI-RADS的新的Nomogram预测前列腺穿刺结果的效能。结果:模型1的c-值为0.883,模型2的c-值为0.893。两个模型的内部验证的尺度曲线与理想曲线相比,模型2较模型1也更加理想。另外,模型1与模型2的AUC分别是0.882和0.893,两者有显著性差异(p0.05)。结论:本文引入的新Nomogram模型,对今后中国人群的前列腺穿刺结果预测有一定的指导作用。
[Abstract]:Objective: to establish a new Nomogram model based on Chinese population to predict the outcome of prostate puncture. Methods: the data of 300 patients admitted to the first affiliated Hospital of Zhejiang University Medical College from January 2013 to July 2014 were collected. Model 1 and model 2 were established respectively. The risk factors of model 1 included: age of patients with t-PSA / f / t ratio, prostate volume and TRUS results. Model 2 added prostate magnetic resonance PI-RADS score on the basis of model 1. Nomogram was used to compare the difference between model 1 and model 2. To evaluate the efficacy of the new Nomogram with PI-RADS in predicting prostate puncture results. Results: the c- value of model 1 was 0.883, and that of model 2 was 0.893. Compared with ideal curve, model 2 is more ideal than model 1. In addition, the AUC of model 1 and model 2 were 0.882 and 0.893, respectively, there was significant difference between them (p 0.05). Conclusion: the new Nomogram model introduced in this paper can guide the prediction of prostate puncture results in Chinese population.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：R737.25

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