Badve C, Yu A, Dastmalchian S, Rogers M, Ma D, Jiang Y, Margevicius S, Pahwa S, Lu Z, Schluchter M, Sunshine J, Griswold M, Sloan A, Gulani V
From the Department of Radiology (C.B., S.D., D.M., S.P., J.S., M.G., V.G.), University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, Ohio
School of Medicine (A.Y., M.R., Z.L.).
AJNR Am J Neuroradiol. 2017 Mar;38(3):492-499. doi: 10.3174/ajnr.A5035. Epub 2016 Dec 29.
MR fingerprinting allows rapid simultaneous quantification of T1 and T2 relaxation times. This study assessed the utility of MR fingerprinting in differentiating common types of adult intra-axial brain tumors.
MR fingerprinting acquisition was performed in 31 patients with untreated intra-axial brain tumors: 17 glioblastomas, 6 World Health Organization grade II lower grade gliomas, and 8 metastases. T1, T2 of the solid tumor, immediate peritumoral white matter, and contralateral white matter were summarized within each ROI. Statistical comparisons on mean, SD, skewness, and kurtosis were performed by using the univariate Wilcoxon rank sum test across various tumor types. Bonferroni correction was used to correct for multiple-comparison testing. Multivariable logistic regression analysis was performed for discrimination between glioblastomas and metastases, and area under the receiver operator curve was calculated.
Mean T2 values could differentiate solid tumor regions of lower grade gliomas from metastases (mean, 172 ± 53 ms, and 105 ± 27 ms, respectively; = .004, significant after Bonferroni correction). The mean T1 of peritumoral white matter surrounding lower grade gliomas differed from peritumoral white matter around glioblastomas (mean, 1066 ± 218 ms, and 1578 ± 331 ms, respectively; = .004, significant after Bonferroni correction). Logistic regression analysis revealed that the mean T2 of solid tumor offered the best separation between glioblastomas and metastases with an area under the curve of 0.86 (95% CI, 0.69-1.00; < .0001).
MR fingerprinting allows rapid simultaneous T1 and T2 measurement in brain tumors and surrounding tissues. MR fingerprinting-based relaxometry can identify quantitative differences between solid tumor regions of lower grade gliomas and metastases and between peritumoral regions of glioblastomas and lower grade gliomas.
磁共振指纹成像可快速同时定量测定T1和T2弛豫时间。本研究评估了磁共振指纹成像在鉴别成人常见类型的脑内肿瘤中的应用价值。
对31例未经治疗的脑内肿瘤患者进行了磁共振指纹成像采集:17例胶质母细胞瘤、6例世界卫生组织二级低级别胶质瘤和8例转移瘤。在每个感兴趣区内总结实体瘤、紧邻肿瘤的白质和对侧白质的T1、T2值。通过单变量Wilcoxon秩和检验对不同肿瘤类型的均值、标准差、偏度和峰度进行统计比较。采用Bonferroni校正进行多重比较检验。对胶质母细胞瘤和转移瘤进行多变量逻辑回归分析,并计算受试者操作特征曲线下面积。
平均T2值可区分低级别胶质瘤的实体瘤区域与转移瘤(均值分别为172±53 ms和105±27 ms;P = 0.004,经Bonferroni校正后具有显著性)。低级别胶质瘤周围瘤周白质的平均T1与胶质母细胞瘤周围瘤周白质不同(均值分别为1066±218 ms和1578±331 ms;P = 0.004,经Bonferroni校正后具有显著性)。逻辑回归分析显示,实体瘤的平均T2在区分胶质母细胞瘤和转移瘤方面表现最佳,曲线下面积为0.86(95%CI,0.69 - 1.00;P < 0.0001)。
磁共振指纹成像可在脑肿瘤及其周围组织中快速同时测量T1和T2。基于磁共振指纹成像的弛豫测量法可识别低级别胶质瘤实体瘤区域与转移瘤之间以及胶质母细胞瘤瘤周区域与低级别胶质瘤瘤周区域之间的定量差异。