T2 映射用于前列腺病变的特征描述。
T2 mapping for the characterization of prostate lesions.
机构信息
Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.
Empirical Inference Department, Max Planck Institute for Intelligent Systems, Max-Planck-Ring 4, 72076, Tübingen, Germany.
出版信息
World J Urol. 2022 Jun;40(6):1455-1461. doi: 10.1007/s00345-022-03991-8. Epub 2022 Mar 31.
PURPOSE
Purpose of this study is to evaluate the diagnostic accuracy of quantitative T2/ADC values in differentiating between PCa and lesions showing non-specific inflammatory infiltrates and atrophy, features of chronic prostatitis, as the most common histologically proven differential diagnosis.
METHODS
In this retrospective, single-center cohort study, we analyzed 55 patients suspected of PCa, who underwent mpMRI (3T) including quantitative T2 maps before robot-assisted mpMRI-TRUS fusion prostate biopsy. All prostate lesions were scored according to PI-RADS v2.1. Regions of interest (ROIs) were annotated in focal lesions and normal prostate tissue. Quantitative mpMRI values from T2 mapping and ADC were compared using two-tailed t tests. Receiver operating characteristic curves (ROCs) and cutoff were calculated to differentiate between PCa and chronic prostatitis.
RESULTS
Focal lesions showed significantly lower ADC and T2 mapping values than normal prostate tissue (p < 0.001). PCa showed significantly lower ADC and T2 values than chronic prostatitis (p < 0.001). ROC analysis revealed areas under the receiver operating characteristic curves (AUCs) of 0.85 (95% CI 0.74-0.97) for quantitative ADC values and 0.84 (95% CI 0.73-0.96) for T2 mapping. A significant correlation between ADC and T2 values was observed (r = 0.70; p < 0.001).
CONCLUSION
T2 mapping showed high diagnostic accuracy for differentiating between PCa and chronic prostatitis, comparable to the performance of ADC values.
目的
本研究旨在评估定量 T2/ADC 值在鉴别前列腺癌（PCa）与表现出非特异性炎症浸润和萎缩、慢性前列腺炎特征的病变中的诊断准确性，慢性前列腺炎是最常见的组织学鉴别诊断。
方法
在这项回顾性、单中心队列研究中，我们分析了 55 名疑似患有 PCa 的患者，这些患者在机器人辅助的 mpMRI-TRUS 融合前列腺活检前接受了 3T 的 mpMRI（磁共振成像），包括定量 T2 图谱。所有前列腺病变均根据 PI-RADS v2.1 进行评分。在局灶性病变和正常前列腺组织中标记感兴趣区（ROI）。使用双尾 t 检验比较 T2 图谱和 ADC 的定量 mpMRI 值。计算接收者操作特征曲线（ROC）和截断值以区分 PCa 和慢性前列腺炎。
结果
局灶性病变的 ADC 和 T2 图谱值明显低于正常前列腺组织（p<0.001）。PCa 的 ADC 和 T2 值明显低于慢性前列腺炎（p<0.001）。ROC 分析显示，定量 ADC 值的曲线下面积（AUC）为 0.85（95%CI 0.74-0.97），T2 图谱的 AUC 为 0.84（95%CI 0.73-0.96）。ADC 值和 T2 值之间存在显著相关性（r=0.70；p<0.001）。
结论
T2 图谱在鉴别 PCa 和慢性前列腺炎方面具有较高的诊断准确性，与 ADC 值的性能相当。
Zotero 插件