Invest Radiol. 2021 Dec 1;56(12):845-853. doi: 10.1097/RLI.0000000000000796.
The objectives of this exploratory study were to investigate the feasibility of multidimensional diffusion magnetic resonance imaging (MddMRI) in assessing diffusion heterogeneity at both a macroscopic and microscopic level in prostate cancer (PCa).
Informed consent was obtained from 46 subjects who underwent 3.0-T prostate multiparametric MRI, complemented with a prototype spin echo-based MddMRI sequence in this institutional review board-approved study. Prostate cancer tumors and comparative normal tissue from each patient were contoured on both apparent diffusion coefficient and MddMRI-derived mean diffusivity (MD) maps (from which microscopic diffusion heterogeneity [MKi] and microscopic diffusion anisotropy were derived) using 3D Slicer. The discriminative ability of MddMRI-derived parameters to differentiate PCa from normal tissue was determined using the Friedman test. To determine if tumor diffusion heterogeneity is similar on macroscopic and microscopic scales, the linear association between SD of MD and mean MKi was estimated using robust regression (bisquare weighting). Hypothesis testing was 2 tailed; P values less than 0.05 were considered statistically significant.
All MddMRI-derived parameters could distinguish tumor from normal tissue in the fixed-effects analysis (P < 0.0001). Tumor MKi was higher (P < 0.05) compared with normal tissue (median, 0.40; interquartile range, 0.29-0.52 vs 0.20-0.18; 0.25), as was tumor microscopic diffusion anisotropy (0.55; 0.36-0.81 vs 0.20-0.15; 0.28). The MKi could not be predicted (no significant association) by SD of MD. There was a significant correlation between tumor volume and SD of MD (R2 = 0.50, slope = 0.008 μm2/ms per millimeter, P < 0.001) but not between tumor volume and MKi.
This explorative study demonstrates that MddMRI provides novel information on MKi and microscopic anisotropy, which differ from measures at the macroscopic level. MddMRI has the potential to characterize tumor tissue heterogeneity at different spatial scales.
本探索性研究的目的是探讨多维磁共振扩散成像(MddMRI)在评估前列腺癌(PCa)宏观和微观水平扩散异质性方面的可行性。
本研究经机构审查委员会批准,对 46 例接受 3.0-T 前列腺多参数 MRI 检查的患者进行了研究,在该检查的基础上补充了原型基于自旋回波的 MddMRI 序列。每位患者的前列腺癌肿瘤和对照正常组织均在表观扩散系数和 MddMRI 衍生的平均扩散系数(MD)图上进行勾画(从中得出微观扩散异质性[MKi]和微观扩散各向异性),使用 3D Slicer 进行勾画。使用 Friedman 检验确定 MddMRI 衍生参数区分 PCa 与正常组织的能力。为了确定肿瘤扩散异质性在宏观和微观尺度上是否相似,使用稳健回归(双平方加权)估计 MD 的标准差与平均 MKi 之间的线性关联。假设检验为双侧;P 值小于 0.05 被认为具有统计学意义。
在固定效应分析中,所有 MddMRI 衍生参数均能区分肿瘤与正常组织(P < 0.0001)。与正常组织相比,肿瘤 MKi 更高(P < 0.05)(中位数,0.40;四分位距,0.29-0.52 与 0.20-0.18;0.25),肿瘤微观扩散各向异性也更高(0.55;0.36-0.81 与 0.20-0.15;0.28)。MD 的标准差不能预测 MKi(无显著关联)。肿瘤体积与 MD 的标准差之间存在显著相关性(R2 = 0.50,斜率为 0.008 μm2/ms 每毫米,P < 0.001),但肿瘤体积与 MKi 之间无显著相关性。
本探索性研究表明,MddMRI 提供了关于 Mki 和微观各向异性的新信息,这些信息与宏观水平的测量值不同。MddMRI 具有在不同空间尺度上描述肿瘤组织异质性的潜力。