Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany.
Department of Urology, Medical Faculty, University Dusseldorf, 40225, Düsseldorf, Germany.
Eur Radiol. 2022 Apr;32(4):2351-2359. doi: 10.1007/s00330-021-08332-8. Epub 2021 Nov 8.
T o evaluate the value of multiparametric MRI (mpMRI) for the prediction of prostate cancer (PCA) aggressiveness.
In this single center cohort study, consecutive patients with histologically confirmed PCA were retrospectively enrolled. Four different ISUP grade groups (1, 2, 3, 4-5) were defined and fifty patients per group were included. Several clinical (age, PSA, PSAD, percentage of PCA infiltration) and mpMRI parameters (ADC value, signal increase on high b-value images, diameter, extraprostatic extension [EPE], cross-zonal growth) were evaluated and correlated within the four groups. Based on combined descriptors, MRI grading groups (mG1-mG3) were defined to predict PCA aggressiveness.
In total, 200 patients (mean age 68 years, median PSA value 8.1 ng/ml) were analyzed. Between the four groups, statistically significant differences could be shown for age, PSA, PSAD, and for MRI parameters cross-zonal growth, high b-value signal increase, EPE, and ADC (p < 0.01). All examined parameters revealed a significant correlation with the histopathologic biopsy ISUP grade groups (p < 0.01), except PCA diameter (p = 0.09). A mixed linear model demonstrated the strongest prediction of the respective ISUP grade group for the MRI grading system (p < 0.01) compared to single parameters.
MpMRI yields relevant pre-biopsy information about PCA aggressiveness. A combination of quantitative and qualitative parameters (MRI grading groups) provided the best prediction of the biopsy ISUP grade group and may improve clinical pathway and treatment planning, adding useful information beyond PI-RADS assessment category. Due to the high prevalence of higher grade PCA in patients within mG3, an early re-biopsy seems indicated in cases of negative or post-biopsy low-grade PCA.
• MpMRI yields relevant pre-biopsy information about prostate cancer aggressiveness. • MRI grading in addition to PI-RADS classification seems to be helpful for a size independent early prediction of clinically significant PCA. • MRI grading groups may help urologists in clinical pathway and treatment planning, especially when to consider an early re-biopsy.
评估多参数 MRI(mpMRI)预测前列腺癌(PCA)侵袭性的价值。
在这项单中心队列研究中,回顾性纳入了经组织学证实的 PCA 连续患者。将其分为 4 个不同的 ISUP 分级组(1、2、3、4-5 级),每组 50 例。评估了几个临床参数(年龄、PSA、PSAD、PCA 浸润百分比)和 mpMRI 参数(ADC 值、高 b 值图像上的信号增加、直径、前列腺外扩展 [EPE]、跨区生长),并在这四个组内进行了相关性分析。基于联合描述符,定义了 MRI 分级组(mG1-mG3)来预测 PCA 的侵袭性。
共分析了 200 例患者(平均年龄 68 岁,中位 PSA 值 8.1ng/ml)。在这 4 组中,年龄、PSA、PSAD 和 MRI 参数跨区生长、高 b 值信号增加、EPE 和 ADC 之间存在统计学差异(p<0.01)。所有检查的参数与组织病理学活检 ISUP 分级组之间均存在显著相关性(p<0.01),除 PCA 直径外(p=0.09)。混合线性模型显示,与单一参数相比,MRI 分级系统对各自的 ISUP 分级组的预测最强(p<0.01)。
mpMRI 可提供 PCA 侵袭性的相关术前信息。定量和定性参数的组合(MRI 分级组)对活检 ISUP 分级组的预测最佳,并可能改善临床路径和治疗计划,除 PI-RADS 评估类别外提供有用信息。由于 mG3 中较高分级 PCA 的患病率较高,对于阴性或活检后低分级 PCA,早期再次活检似乎是必要的。
•mpMRI 可提供 PCA 侵袭性的相关术前信息。•除 PI-RADS 分类外,MRI 分级似乎有助于对临床意义上的 PCA 进行独立于大小的早期预测。•MRI 分级组可帮助泌尿科医生进行临床路径和治疗计划,特别是在考虑早期再次活检时。