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列线图预测前列腺癌患者囊外侵犯的独立外部验证。

Independent external validation of nomogram to predict extracapsular extension in patients with prostate cancer.

机构信息

Department of Urology, Barretos Cancer Hospital, Barretos, R. Antenor Duarte Vilela, 1331, Barretos, São Paulo, 14784-400, Brazil.

Department of Urology, Base Hospital of Federal District, Brasilia, Brazil.

出版信息

Eur Radiol. 2020 Sep;30(9):5004-5010. doi: 10.1007/s00330-020-06839-0. Epub 2020 Apr 19.

DOI:10.1007/s00330-020-06839-0
PMID:32307562
Abstract

INTRODUCTION

The objective of this study was to perform an independent external validation of the Giganti-Coppola nomogram (GCN), which uses clinical and radiological parameters to predict prostate extracapsular extension (ECE) on the final pathology of patients undergoing radical prostatectomy (RP).

MATERIAL AND METHODS

Seventy-two patients diagnosed with prostate cancer (PCa), who were RP candidates from two institutions, were prospectively included. All patients underwent preoperative multi-parametric magnetic resonance imaging (mpMRI) at 1.5 T, without the use of an endorectal coil, with multiplanar images in T1WI, T2WI, DWI, and DCE. The AUC and a calibration graph were used to validate the nomogram, using the regression coefficients of the Giganti-Coppola study.

RESULTS

The original nomogram had an AUC of 0.90 (p = 0.001), with a sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 100%, 5.1%, 47.1%, 100%, and 48%, respectively. The calibration graph showed an overestimation of the nomogram for ECE.

CONCLUSION

The GCN has an adequate ability in predicting ECE; however, in our sample, it showed limited accuracy and overestimated likelihood of ECE in the final pathology of patients with PCa submitted to RP.

KEY POINTS

• Knowledge of preoperative local staging of prostate cancer is essential for surgical treatment. Extracapsular extension increases the chance of positive surgical margins. • Imaging modalities such as mpMRI alone does not have suitable accuracy in local staging. • Giganti-Coppola's nomogram achieved an adequate ability in predicting ECE.

摘要

介绍

本研究的目的是对 Giganti-Coppola 列线图(GCN)进行独立的外部验证,该列线图使用临床和影像学参数来预测接受根治性前列腺切除术(RP)的患者前列腺包膜外侵犯(ECE)的最终病理学结果。

材料和方法

前瞻性纳入了来自两个机构的 72 名被诊断为前列腺癌(PCa)且适合接受 RP 的患者。所有患者均在术前进行了 1.5T 多参数磁共振成像(mpMRI)检查,未使用直肠内线圈,采用 T1WI、T2WI、DWI 和 DCE 的多平面图像。使用 Giganti-Coppola 研究的回归系数,通过 AUC 和校准图来验证该列线图。

结果

原始列线图的 AUC 为 0.90(p=0.001),灵敏度、特异性、阳性预测值、阴性预测值和准确性分别为 100%、5.1%、47.1%、100%和 48%。校准图显示 ECE 列线图存在高估。

结论

GCN 具有预测 ECE 的良好能力;然而,在我们的样本中,它在预测接受 RP 的 PCa 患者的最终病理学中 ECE 的准确性有限,且高估了 ECE 的可能性。

关键点

  • 了解前列腺癌术前局部分期对于手术治疗至关重要。包膜外侵犯增加了阳性手术切缘的可能性。

  • 成像方式如 mpMRI 单独用于局部分期的准确性不足。

  • Giganti-Coppola 列线图在预测 ECE 方面具有良好的能力。

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