Dept. of Diagnostic Physics, Oslo University Hospital, Oslo, Norway; Department of Physics, University of Oslo, Oslo, Norway.
Dept. of Diagnostic Physics, Oslo University Hospital, Oslo, Norway; Biomedical Data Science Laboratory, Instituto Universitario de Tecnologías de la Información y Comunicaciones, Universitat Politècnica de València, Valencia, Spain.
Eur J Radiol. 2022 Feb;147:110136. doi: 10.1016/j.ejrad.2021.110136. Epub 2021 Dec 29.
Understanding how mechanical properties relate to functional changes in glioblastomas may help explain different treatment response between patients. The aim of this study was to map differences in biomechanical and functional properties between tumor and healthy tissue, to assess any relationship between them and to study their spatial distribution.
Ten patients with glioblastoma and 17 healthy subjects were scanned using MR Elastography, perfusion and diffusion MRI. Stiffness and viscosity measurements G' and G'', cerebral blood flow (CBF), apparent diffusion coefficient (ADC) and fractional anisotropy (FA) were measured in patients' contrast-enhancing tumor, necrosis, edema, and gray and white matter, and in gray and white matter for healthy subjects. A regression analysis was used to predict CBF as a function of ADC, FA, G' and G''.
Median G' and G'' in contrast-enhancing tumor were 13% and 37% lower than in normal-appearing white matter (P < 0.01), and 8% and 6% lower in necrosis than in contrast-enhancing tumor, respectively (P < 0.05). Tumors showed both inter-patient and intra-patient heterogeneity. Measurements approached values in normal-appearing tissue when moving outward from the tumor core, but abnormal tissue properties were still present in regions of normal-appearing tissue. Using both a linear and a random-forest model, prediction of CBF was improved by adding MRE measurements to the model (P < 0.01).
The inclusion of MRE measurements in statistical models helped predict perfusion, with stiffer tissue associated with lower perfusion values.
了解力学性能与胶质母细胞瘤功能变化的关系,可能有助于解释患者之间不同的治疗反应。本研究的目的是绘制肿瘤组织和正常组织之间生物力学和功能特性的差异图,评估它们之间的关系,并研究它们的空间分布。
对 10 名胶质母细胞瘤患者和 17 名健康受试者进行磁共振弹性成像、灌注和弥散 MRI 扫描。在患者的增强肿瘤、坏死、水肿、灰质和白质以及健康受试者的灰质和白质中测量了硬度和粘性测量 G'和 G''、脑血流量(CBF)、表观扩散系数(ADC)和各向异性分数(FA)。使用回归分析预测 CBF 作为 ADC、FA、G'和 G''的函数。
与正常外观的白质相比,增强肿瘤的中位数 G'和 G''分别低 13%和 37%(P<0.01),坏死比增强肿瘤分别低 8%和 6%(P<0.05)。肿瘤在患者之间和患者内部均表现出异质性。从肿瘤核心向外移动时,测量值接近正常组织的数值,但在正常组织区域仍存在异常组织特性。使用线性和随机森林模型,通过在模型中添加 MRE 测量值,CBF 的预测得到了改善(P<0.01)。
将 MRE 测量值纳入统计模型有助于预测灌注,较硬的组织与较低的灌注值相关。