Department of Radiological Sciences, UCLA, Los Angeles, California, USA.
J Magn Reson Imaging. 2019 Oct;50(4):1307-1317. doi: 10.1002/jmri.26685. Epub 2019 Feb 17.
An estimation of an intravascular dispersion parameter was previously proposed to improve the overall accuracy and precision of the model parameters, but the high computation complexity can limit its practical usability in prostate dynamic contrast-enhanced MRI (DCE-MRI).
To compare and evaluate the model fitting uncertainty and error in the model parameter estimation using different DCE-MRI analysis models and to evaluate the ability of the intravascular dispersion parameter to delineate between noncancerous and cancerous prostate tissue in the transition and peripheral zones.
Retrospective.
Fifty-three patients who underwent radical prostatectomy.
FIELD STRENGTH/SEQUENCE: 3 T/3D RF-spoiled gradient echo sequence.
The coefficient of variation was used to assess the model fitting uncertainty by adding random noise to the time-concentration curves, and the Akaike information criterion was used to assess the model fitting error. The parametric maps derived from four DCE-MRI analysis models were evaluated by evaluating the delineation between noncancerous tissue and prostate cancer or clinically significant prostate cancer.
The receiver operating curve analysis was performed to compare the ability to delineate between noncancerous and prostate cancer tissue in the transition and peripheral zones.
Both MR dispersion imaging (MRDI) and Weinmann analysis models had the maximum coefficient of variation in different tissue types, while the model fitting uncertainty of modified (m)MRDI was similar to the standard Toft model. In mMRDI, the model fitting error was minimum, and the delineation between noncancerous and clinically significant prostate cancer tissue was improved in both transition (area under the curve [AUC] = 0.92) and peripheral zones (AUC = 0.92), in comparison with MRDI (AUC = 0.89 and AUC = 0.85, respectively).
The mMRDI showed promising results in detecting prostate cancer while maintaining a similar model fitting uncertainty.
3 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:1307-1317.
先前提出了一种血管内弥散参数的估计方法，以提高模型参数的整体准确性和精度，但高计算复杂度可能会限制其在前列腺动态对比增强磁共振成像（DCE-MRI）中的实际可用性。
比较和评估使用不同 DCE-MRI 分析模型进行模型参数估计的模型拟合不确定性和误差，并评估血管内弥散参数在区分过渡区和周围区的非癌性和癌性前列腺组织中的能力。
回顾性。
53 名接受根治性前列腺切除术的患者。
磁场强度/序列：3T/3D RF 扰相梯度回波序列。
通过向时间浓度曲线添加随机噪声来评估模型拟合不确定性的变异系数，并使用赤池信息量准则评估模型拟合误差。通过评估非癌性组织与前列腺癌或临床显著前列腺癌之间的勾画，评估来自四个 DCE-MRI 分析模型的参数图。
进行接收者操作曲线分析，以比较区分过渡区和周围区非癌性和前列腺癌组织的能力。
MR 弥散成像（MRDI）和 Weinmann 分析模型在不同组织类型中具有最大的变异系数，而改良（m）MRDI 的模型拟合不确定性与标准 Toft 模型相似。在 mMRDI 中，模型拟合误差最小，在过渡区（曲线下面积 [AUC] = 0.92）和周围区（AUC = 0.92）中，与 MRDI 相比，非癌性和临床显著前列腺癌组织之间的勾画得到改善（AUC = 0.89 和 AUC = 0.85）。
mMRDI 在检测前列腺癌的同时具有良好的结果，同时保持类似的模型拟合不确定性。
3 级技术功效：阶段 1 J. Magn. Reson. Imaging 2019;50:1307-1317.
