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扩散加权成像定量分析可提高前列腺移行区病灶的危险分层。

Quantitative Analysis of Diffusion Weighted Imaging May Improve Risk Stratification of Prostatic Transition Zone Lesions.

机构信息

Department of Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany;

Department of Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

出版信息

In Vivo. 2022 Sep-Oct;36(5):2323-2331. doi: 10.21873/invivo.12963.

Abstract

BACKGROUND/AIM: To investigate whether quantitative analysis of diffusion weighted images allows for improved risk stratification of transition zone lesions in prostate magnetic resonance imaging (MRI) evaluated according to PI-RADSv2.1 [Prostate Imaging Reporting and Data System, target variable: clinically significant prostate cancer (csPCa)].

PATIENTS AND METHODS

Consecutive patients with transition zone lesions in 3T prostate MRI were enrolled in the study. All lesions on MRI were histopathologically verified by transperineal MRI-TRUS fusion biopsy. Two blinded radiologists re-evaluated all lesions according to PI-RADSv2.1. A consensus reading was performed after reading of all cases. Additionally, mean apparent diffusion coefficient values (mADC) were derived from blinded lesion segmentation. ROC analysis was performed for PI-RADS categories and PI-RADS categories with separate subcategories and diffusion coefficient values (ADC). Data were examined for optimal mADC cut-off values that improve stratification of csPCa and benign lesions.

RESULTS

Among 85 patients (mean age=66.2 years), 98 transition zone lesions were detected. Biopsy confirmed csPCa in 24/98 cases. Area under the curve (AUC) was 0.89/0.90 for reader 1, 0.92/0.91 for reader 2 and 0.92/0.91 for the consensus reading (5 category analysis/analysis with subcategories separately). Inter-reader agreement was substantial, with lower PI-RADS categories assigned by the more experienced reader (p<0.05). AUC for mADC alone was 0.81. When a cut-off threshold of 950 μm/s mADC is used to downgrade PI-RADS 3 lesions to PI-RADS 2, biopsy could be avoided in all benign PI-RADS 3 cases.

CONCLUSION

Quantitative analysis of diffusion weighted images may help avoid unnecessary biopsies of transition zone PI-RADS 3 lesions.

摘要

背景/目的:探讨扩散加权成像(DWI)的定量分析是否能够改善前列腺磁共振成像(MRI)根据 PI-RADSv2.1 评估的移行区病变的风险分层[前列腺影像报告和数据系统,目标变量:临床显著前列腺癌(csPCa)]。

方法

本研究纳入了在 3T 前列腺 MRI 中发现移行区病变的连续患者。所有 MRI 上的病变均通过经会阴 MRI-TRUS 融合活检进行组织病理学验证。两名盲法放射科医生根据 PI-RADSv2.1 重新评估所有病变。在阅读所有病例后进行共识阅读。此外,还从盲法病变分割中得出平均表观扩散系数值(mADC)。对 PI-RADS 类别和 PI-RADS 类别及其单独的亚类别和扩散系数值(ADC)进行 ROC 分析。检查最佳 mADC 临界值,以改善 csPCa 和良性病变的分层。

结果

在 85 例患者(平均年龄=66.2 岁)中,共发现 98 个移行区病变。活检证实 24/98 例为 csPCa。读者 1 的曲线下面积(AUC)为 0.89/0.90,读者 2 的 AUC 为 0.92/0.91,共识阅读的 AUC 为 0.92/0.91(5 类别分析/分别进行亚类别分析)。读者间的一致性较高,经验更丰富的读者对较低的 PI-RADS 类别进行了分配(p<0.05)。mADC 单独的 AUC 为 0.81。当使用 950 μm/s mADC 的截断阈值将 PI-RADS 3 病变降级为 PI-RADS 2 时,所有良性 PI-RADS 3 病例均可以避免活检。

结论

DWI 的定量分析可能有助于避免对移行区 PI-RADS 3 病变进行不必要的活检。

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