Department of Urology, University Hospital Heidelberg, Heidelberg, Germany; Department of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
BJU Int. 2013 Dec;112(8):1080-7. doi: 10.1111/bju.12259. Epub 2013 Aug 13.
To evaluate the Prostate Imaging Reporting and Data System (PIRADS) in multiparametric magnetic resonance imaging (mpMRI) based on single cores and single-core histology. To calculate positive (PPV) and negative predictive values (NPV) of different modalities of mpMRI.
We performed MRI-targeted transrectal ultrasound-guided perineal prostate biopsies on 50 patients (mean age 66 years, mean PSA level of 9.9 ng/mL) with suspicion of prostate cancer. The biopsy trajectories of every core taken were documented in three dimensions (3D) in a 3D-prostate model. Every core was evaluated separately for prostate cancer and the performed biopsy trajectories were projected on mpMRI images. PIRADS scores of 1177 cores were then assessed by a histology 'blinded' uro-radiologist in T2-weighted (T2W), dynamic contrast-enhanced (DCE), diffusion-weighted imaging (DWI) and magnetic resonance spectroscopy (MRS).
The PIRADS score was significantly higher in cores positive for cancer than in negative cores. There was a significant correlation between the PIRADS score and histopathology for every modality. Receiver operating characteristic (ROC) analysis showed excellent specificity for T2W (90% peripheral zone/97% transition zone) and DWI (98%/97%) images regardless of the prostate region observed. These numbers decreased for DCE (80%/93%) and MRS (76%/83%). All modalities had NPVs of 99%, if a PIRADS score threshold of 2 (for T2W, DCE, and MRS) or 3 (for DWI) was used. However, PPVs were low.
Our results show that PIRADS scoring is feasible for clinical routine and allows standardised reporting. PIRADS can be used as a decision-support system for targeting of suspicious lesions. mpMRI has a high NPV for prostate cancer and, thus, might be a valuable tool in the initial diagnostic evaluation.
评估基于单针和单针组织学的多参数磁共振成像(mpMRI)中的前列腺影像报告和数据系统(PIRADS)。计算不同模态 mpMRI 的阳性预测值(PPV)和阴性预测值(NPV)。
我们对 50 名(平均年龄 66 岁,平均 PSA 水平 9.9ng/ml)疑似前列腺癌患者进行了 MRI 靶向经直肠超声引导会阴前列腺活检。每个针芯的活检轨迹在 3D 前列腺模型中以三维(3D)方式记录。每个针芯分别评估前列腺癌,并将进行的活检轨迹投影到 mpMRI 图像上。然后,一位泌尿科放射科医生在 T2 加权(T2W)、动态对比增强(DCE)、扩散加权成像(DWI)和磁共振波谱(MRS)中对 1177 个针芯的 PIRADS 评分进行了“盲法”评估。
在癌症阳性的针芯中,PIRADS 评分明显高于阴性针芯。每种模态的 PIRADS 评分与组织病理学均有显著相关性。接受者操作特征(ROC)分析显示,T2W(90% 周围区/97% 移行区)和 DWI(98%/97%)图像的特异性非常好,无论观察的前列腺区域如何。对于 DCE(80%/93%)和 MRS(76%/83%),这些数字降低。如果使用 PIRADS 评分阈值为 2(用于 T2W、DCE 和 MRS)或 3(用于 DWI),则所有模态的 NPV 均为 99%。然而,PPV 较低。
我们的结果表明,PIRADS 评分可用于临床常规,并允许标准化报告。PIRADS 可作为靶向可疑病变的决策支持系统。mpMRI 对前列腺癌具有高 NPV,因此可能是初始诊断评估中的有价值工具。