Radiology, Case Western Reserve University, Cleveland, Ohio, USA.
Imaging Institute, Cleveland Clinic, Cleveland, Ohio, USA.
J Magn Reson Imaging. 2019 May;49(5):1333-1346. doi: 10.1002/jmri.26319. Epub 2018 Dec 23.
Conventional MRI can be limited in detecting subtle epileptic lesions or identifying active/epileptic lesions among widespread, multifocal lesions.
We developed a high-resolution 3D MR fingerprinting (MRF) protocol to simultaneously provide quantitative T , T , proton density, and tissue fraction maps for detection and characterization of epileptic lesions.
Prospective.
National Institute of Standards and Technology (NIST) / International Society for Magnetic Resonance in Medicine (ISMRM) phantom, five healthy volunteers and 15 patients with medically intractable epilepsy undergoing presurgical evaluation with noninvasive or invasive electroclinical data.
FIELD STRENGTH/SEQUENCE: 3D MRF scans and routine clinical epilepsy MR protocols were acquired at 3 T.
The accuracy of the T and T values were first evaluated using the NIST/ISMRM phantom. The repeatability was then estimated with both phantom and volunteers based on the coefficient of variance (CV). For epilepsy patients, all the maps were qualitatively reviewed for lesion detection by three independent reviewers (S.E.J., M.L., I.N.) blinded to clinical data. Region of interest (ROI) analysis was performed on T and T maps to quantify the multiparametric signal differences between lesion and normal tissues. Findings from qualitative review and quantitative ROI analysis were compared with patients' electroclinical data to assess concordance.
Phantom results were compared using R-squared, and patient results were compared using linear regression models.
The phantom study showed high accuracy with the standard values, with an R of 0.99. The volunteer study showed high repeatability, with an average CV of 4.3% for T and T in various tissue regions. For the 15 patients, MRF showed additional findings in four patients, with the remaining 11 patients showing findings consistent with conventional MRI. The additional MRF findings were highly concordant with patients' electroclinical presentation.
The 3D MRF protocol showed potential to identify otherwise inconspicuous epileptogenic lesions from the patients with negative conventional MRI diagnosis, as well as to correlate with different levels of epileptogenicity when widespread lesions were present.
常规 MRI 在检测细微的癫痫病灶或识别广泛、多灶性病灶中的活跃/癫痫病灶方面可能存在局限性。
我们开发了一种高分辨率 3D 磁共振指纹图谱(MRF)协议,用于同时提供定量 T 1 、T 2 、质子密度和组织分数图,以检测和表征癫痫病灶。
前瞻性。
美国国家标准与技术研究院(NIST)/国际磁共振医学学会(ISMRM)体模、5 名健康志愿者和 15 名接受术前评估的药物难治性癫痫患者,这些患者具有非侵入性或侵入性电临床数据。
磁场强度/序列:在 3T 下采集 3D MRF 扫描和常规临床癫痫 MRI 方案。
首先使用 NIST/ISMRM 体模评估 T 1 和 T 2 值的准确性。然后,基于变异系数(CV),使用体模和志愿者来评估重复性。对于癫痫患者,三位独立的审阅者(S.E.J.、M.L.、I.N.)对所有地图进行了盲法临床数据的病灶检测的定性评估。对 T 1 和 T 2 图进行感兴趣区(ROI)分析,以量化病灶与正常组织之间的多参数信号差异。将定性评估和定量 ROI 分析的结果与患者的电临床数据进行比较,以评估一致性。
使用 R 平方比较体模结果,使用线性回归模型比较患者结果。
体模研究显示,标准值具有很高的准确性,R 值为 0.99。志愿者研究显示出很高的重复性,在不同组织区域 T 1 和 T 2 的平均 CV 为 4.3%。对于 15 名患者,MRF 在 4 名患者中显示了额外的发现,其余 11 名患者的发现与常规 MRI 一致。额外的 MRF 发现与患者的电临床表现高度一致。
3D MRF 方案显示出从常规 MRI 诊断阴性的患者中识别出不明显的致痫病灶的潜力,以及在存在广泛病灶时与不同程度的致痫性相关的潜力。