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- Title
一个以前列腺特异抗原密度和穿刺评分为基础的中国人群中前列腺癌根治术后病理升级预测模型的建立
- Authors
张铁龙; 董文培; 刘强; 李涛; 梁军号
- Abstract
Objective: To analyze the reason of upgrade in Gleason score between initial prostate biopsy and final radical prostatectomy specimens and develop a nomogram to predict the probability of pathological upgrade.Methods: From August 2008 to December 2013, a total of 264 prostate cancer patients underwent RP in our department were selected and divided into two groups according to the upgrade of biopsy and final pathology GS. Both a univariate analysis and a Forward conditional multivariate logistic regression model (LRM) analysis were performed to identify the risk factor (s) of pathological upgrade. A nomogram predicting the probability of pathological upgrade was established by using LRM regression coefficients. Results: In total, 238 of the 264 patients were analyzed. Multivariate logistic regression analysis showed that higher prostate specific antigen density (PSAD) (0R=3.854, P=0.001) and low grade (≤ 6) biopsy GS were. The dependent risk factors of the pathological upgrade after radical prostatectomy. The optimal cutoff value of PASD and biopsy score were 0.37 ng/ml 2 and 8 points. A nomogram combining aforementioned two variables to predict pathological upgrading was established.Conclusion: PASD and biopsy Gleason score were independent risk factors for predicting the postoperative pathological upgrade in Chinese population, the nomogram established in the study could well predict the pathological upgrade.
- Publication
Progress in Modern Biomedicine, 2015, Vol 15, Issue 10, p1805
- ISSN
1673-6273
- Publication type
Article
- DOI
10.13241/j.cnki.pmb.2015.10.002