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基于定量MRI的前列腺分区参数在预测临床显著前列腺癌中的作用:一项美国队列研究。

The role of quantitative MRI-based prostate zonal parameters in predicting clinically significant prostate cancer A U.S. cohort.

作者信息

Sze Christina, Brant Aaron, Johnson Jeffery P, Singh Zorawar, DeMeo Gina, Moryousef Joseph, Zorn Kevin C, Bhojani Naeem, Elterman Dean S, Margolis Daniel, Chughtai Bilal

机构信息

Department of Urology, Weill Cornel Medicine/New York Presbyterian Hospital, New York, NY, United States.

Northwell Health, New York, NY, United States.

出版信息

Can Urol Assoc J. 2023 Jul;17(7):E182-E188. doi: 10.5489/cuaj.8195.

Abstract

INTRODUCTION

We aimed to investigate the clinical utility of quantitative prostatic zonal measurements on multiparametric magnetic resonance imaging (mpMRI) for the predication of clinically significant prostate cancer (csPCa).

METHODS

A retrospective, single-institution study included 144 men who underwent mpMRI from 2015-2017. Prostate zone parameters were measured on mpMRI. Correlation and multivariable analysis evaluated the relationship between prostate zone parameters and the presence of csPCa.

RESULTS

The mean age was 66.9±7.8 years old. The median (interquartile range [IQR]) prostate volume and prostate-specific antigen (PSA) were 51.6 ml (37.1-74.5) and 6.1 ng/ ml (4.5-8.2), respectively. Men with csPCa had significantly smaller total prostate volume (TPV), transitional zone volume (TZV), and transitional zone thickness (TZT), and larger transitional zone density (TZD) compared to those without PCa; however, on multivariate variable analysis, only TZD maintained significance. TZD had a comparable area under the curve to PSA density (PSAD) and PSA (0.74 vs. 0.73 vs. 0.60, respectively). In a subgroup analysis of men with PCa, PSAD and TZD were significantly higher in men with Gleason grade group (GG) ≥2 compared to those with GG <2 (p=0.002); however, this significance is not maintained on logistic regression in predicting GG.

CONCLUSIONS

Quantitative features of prostate zones on MRI may aid in identifying better predictors of csPCa. Zonal-based PSA density (TZD) may be a useful marker in identifying csPCa. Further exploration is needed to understand the clinical application of larger TZV in men with csPCa compared to those with insignificant disease.

摘要

引言

我们旨在研究多参数磁共振成像(mpMRI)上前列腺分区定量测量对临床显著前列腺癌(csPCa)预测的临床实用性。

方法

一项回顾性单机构研究纳入了2015年至2017年接受mpMRI检查的144名男性。在mpMRI上测量前列腺分区参数。相关性和多变量分析评估前列腺分区参数与csPCa存在之间的关系。

结果

平均年龄为66.9±7.8岁。前列腺体积和前列腺特异性抗原(PSA)的中位数(四分位间距[IQR])分别为51.6 ml(37.1 - 74.5)和6.1 ng/ml(4.5 - 8.2)。与无前列腺癌的男性相比,患有csPCa的男性总前列腺体积(TPV)、移行区体积(TZV)和移行区厚度(TZT)显著更小,而移行区密度(TZD)更大;然而,在多变量分析中,只有TZD保持显著性。TZD的曲线下面积与PSA密度(PSAD)和PSA相当(分别为0.74、0.73和0.60)。在前列腺癌男性亚组分析中,Gleason分级组(GG)≥2的男性PSAD和TZD显著高于GG<2的男性(p = 0.002);然而,在预测GG的逻辑回归中这种显著性未得到保持。

结论

MRI上前列腺分区的定量特征可能有助于识别更好的csPCa预测指标。基于分区的PSA密度(TZD)可能是识别csPCa的有用标志物。与疾病不显著的男性相比,需要进一步探索了解较大TZV在csPCa男性中的临床应用。

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