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PI-RADS v2 在预测经活检证实的 Gleason 评分 6 级前列腺癌升级中的作用。

Role of PI-RADS Version 2 for Prediction of Upgrading in Biopsy-Proven Prostate Cancer With Gleason Score 6.

机构信息

Department of Urology, Ewha Womans University School of Medicine, Seoul, Korea.

Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

出版信息

Clin Genitourin Cancer. 2018 Aug;16(4):281-287. doi: 10.1016/j.clgc.2018.02.015. Epub 2018 Feb 23.

DOI:10.1016/j.clgc.2018.02.015
PMID:29550198
Abstract

INTRODUCTION

The objective of this study was to investigate the effect of Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) on prediction of postoperative Gleason score (GS) upgrading for patients with biopsy GS 6 prostate cancer.

PATIENTS AND METHODS

We retrospectively reviewed 443 patients who underwent magnetic resonance imaging (MRI) and radical prostatectomy for biopsy-proven GS 6 prostate cancer between January 2011 and December 2013. Preoperative clinical variables and pathologic GS were examined, and all MRI findings were assessed with PI-RADSv2. Receiver operating characteristic curves were used to compare predictive accuracies of multivariate logistic regression models with or without PI-RADSv2.

RESULTS

Of the total 443 patients, 297 (67.0%) experienced GS upgrading postoperatively. PI-RADSv2 scores 1 to 3 and 4 to 5 were identified in 157 (25.4%) and 286 (64.6%) patients, respectively, and the rate of GS upgrading was 54.1% and 74.1%, respectively (P < .001). In multivariate analysis, prostate-specific antigen density > 0.16 ng/mL, number of positive cores ≥ 2, maximum percentage of cancer per core > 20, and PI-RADSv2 score 4 to 5 were independent predictors influencing GS upgrading (each P < .05). When predictive accuracies of multivariate models with or without PI-RADSv2 were compared, the model including PI-RADSv2 was shown to have significantly higher accuracy (area under the curve, 0.729 vs. 0.703; P = .041).

CONCLUSION

Use of PI-RADSv2 is an independent predictor of postoperative GS upgrading and increases the predictive accuracy of GS upgrading. PI-RADSv2 might be used as a preoperative imaging tool to determine risk classification and to help counsel patients with regard to treatment decision and prognosis of disease.

摘要

介绍

本研究的目的是探讨前列腺影像报告和数据系统第 2 版(PI-RADSv2)对经活检证实为前列腺癌 Gleason 评分 6 级(GS)患者术后 GS 升级的预测作用。

患者与方法

我们回顾性分析了 2011 年 1 月至 2013 年 12 月期间因经活检证实为 GS 6 级前列腺癌而接受磁共振成像(MRI)和根治性前列腺切除术的 443 例患者。检查了术前临床变量和病理 GS,并使用 PI-RADSv2 评估了所有 MRI 结果。使用受试者工作特征曲线比较了包含或不包含 PI-RADSv2 的多变量逻辑回归模型的预测准确性。

结果

在总共 443 例患者中,297 例(67.0%)术后出现 GS 升级。PI-RADSv2 评分 1-3 分和 4-5 分分别在 157 例(25.4%)和 286 例(64.6%)患者中检出,GS 升级率分别为 54.1%和 74.1%(P<0.001)。多变量分析中,前列腺特异性抗原密度>0.16ng/mL、阳性核心数≥2、每核心最大癌症百分比>20 以及 PI-RADSv2 评分 4-5 分是影响 GS 升级的独立预测因素(各 P<0.05)。当比较包含或不包含 PI-RADSv2 的多变量模型的预测准确性时,包含 PI-RADSv2 的模型显示出更高的准确性(曲线下面积,0.729 比 0.703;P=0.041)。

结论

PI-RADSv2 的使用是术后 GS 升级的独立预测因素,并提高了 GS 升级的预测准确性。PI-RADSv2 可作为术前影像学工具,用于确定风险分类,并帮助患者就治疗决策和疾病预后做出决策。

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