Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, 10016, USA.
Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, 10016, USA.
Sci Rep. 2021 Mar 4;11(1):5156. doi: 10.1038/s41598-021-84616-9.
The purpose of this work was to develop a novel method to disentangle the intra- and extracellular components of the total sodium concentration (TSC) in breast cancer from a combination of proton ([Formula: see text]H) and sodium ([Formula: see text]) magnetic resonance imaging (MRI) measurements. To do so, TSC is expressed as function of the intracellular sodium concentration ([Formula: see text]), extracellular volume fraction (ECV) and the water fraction (WF) based on a three-compartment model of the tissue. TSC is measured from [Formula: see text] MRI, ECV is calculated from baseline and post-contrast [Formula: see text]H [Formula: see text] maps, while WF is measured with a [Formula: see text]H chemical shift technique. [Formula: see text] is then extrapolated from the model. Proof-of-concept was demonstrated in three healthy subjects and two patients with triple negative breast cancer. In both patients, TSC was two to threefold higher in the tumor than in normal tissue. This alteration mainly resulted from increased [Formula: see text] ([Formula: see text] 30 mM), which was [Formula: see text] 130% greater than in healthy conditions (10-15 mM) while the ECV was within the expected range of physiological values (0.2-0.25). Multinuclear MRI shows promise for disentangling [Formula: see text] and ECV by taking advantage of complementary [Formula: see text]H and [Formula: see text] measurements.
这项工作的目的是开发一种新方法,从质子([Formula: see text]H)和钠([Formula: see text])磁共振成像([Formula: see text]MRI)测量的组合中解缠乳腺癌总钠浓度([Formula: see text]TC)的细胞内和细胞外成分。为此,将[Formula: see text]TC 表示为组织的三腔模型中细胞内钠浓度([Formula: see text])、细胞外体积分数 (ECV) 和水分数 (WF) 的函数。[Formula: see text]TC 由[Formula: see text]MRI 测量,ECV 由基线和对比后[Formula: see text]H [Formula: see text]图谱计算,而 WF 则通过[Formula: see text]H 化学位移技术测量。然后从模型中推断出[Formula: see text]。在三个健康受试者和两个三阴性乳腺癌患者中证明了概念验证。在这两个患者中,肿瘤中的[Formula: see text]TC 比正常组织高两到三倍。这种改变主要是由于[Formula: see text]增加([Formula: see text] 30 mM),这比健康状况下高[Formula: see text] 130%(10-15 mM),而 ECV 在生理值的预期范围内(0.2-0.25)。多核 MRI 通过利用互补的[Formula: see text]H 和[Formula: see text]测量显示出了解缠[Formula: see text]和 ECV 的潜力。