基于定量mri的前列腺分区参数在预测具有临床意义的前列腺癌中的作用。

Christina Sze, Aaron Brant, Jeffery P Johnson, Zorawar Singh, Gina DeMeo, Joseph Moryousef, Kevin C Zorn, Naeem Bhojani, Dean S Elterman, Daniel Margolis, Bilal Chughtai
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引用次数: 0

摘要

简介:我们的目的是研究多参数磁共振成像(mpMRI)定量前列腺分区测量在预测临床显著性前列腺癌(csPCa)中的临床应用。方法:一项回顾性、单机构研究包括144名2015-2017年接受mpMRI检查的男性。用mpMRI测量前列腺区参数。相关分析和多变量分析评估前列腺区参数与csPCa存在的关系。结果:患者平均年龄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)。与没有前列腺癌的男性相比,患有csPCa的男性前列腺总体积(TPV)、过渡区体积(TZV)和过渡区厚度(TZT)明显更小,过渡区密度(TZD)更大;但在多变量分析中,只有TZD保持显著性。TZD曲线下面积与PSA密度(PSAD)和PSA相当(分别为0.74、0.73和0.60)。在前列腺癌患者的亚组分析中,Gleason分级组(GG)≥2的男性PSAD和TZD明显高于GG患者。结论:MRI上前列腺区定量特征可能有助于识别更好的前列腺癌预测因子。基于分区的PSA密度(TZD)可能是鉴别csPCa的有用标记。更大的TZV在csPCa患者中的临床应用需要进一步的探索。
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The role of quantitative MRI-based prostate zonal parameters in predicting clinically significant prostate cancer A U.S. cohort.

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.

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