MR Fingerprinting of Adult Brain Tumors: Initial Experience.
MR Fingerprinting of Adult Brain Tumors: Initial Experience.
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DOI：
10.3174/ajnr.a5035
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发表时间：
2017-03
期刊：
影响因子：
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通讯作者：
Gulani V
中科院分区：
文献类型：
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作者：
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
磁共振指纹分析(MRF)可以快速同时量化T1和T2弛豫时间。这项研究评估了磁共振成像在鉴别成人轴内常见脑肿瘤类型中的作用。对31例未经治疗的脑内肿瘤患者进行了MRF采集，其中胶质母细胞瘤17例，WHO II级低级别胶质瘤6例，转移瘤8例。总结各感兴趣区实体瘤(ST)、瘤周白质(PW)和对侧白质(CW)的T1、T2。对不同肿瘤类型的均值、标准差、偏度和峰度进行单变量Wilcoxon秩和检验。采用Bonferroni校正法进行多重比较检验。对胶质母细胞瘤和转移瘤进行多变量Logistic回归分析，计算受者曲线下面积(AUC)。平均T2值可以区分低级别胶质瘤的实体瘤区域和转移瘤(平均±SD分别为172ms±53ms和105ms±27ms，P=0.004，经Bonferroni校正后有显著意义)。低级别胶质瘤周围的平均T1与胶质母细胞瘤周围的PW有显著差异(平均±SD分别为1066±218ms和1578±331ms，P=0.004，经Bonferroni校正后有显著意义)。Logistic回归分析显示，ST段的平均T2对胶质母细胞瘤和转移瘤的区分最好，AUC值为0.86(95%CI0.69~1.00，p<；0.0001)。MRF可以快速同时测量脑肿瘤及其周围组织的T1、T2。基于MRF的松弛测量可以识别低级别胶质瘤和转移瘤的实体瘤区域以及胶质母细胞瘤和低级别胶质瘤的瘤周区域之间的定量差异。
Magnetic resonance fingerprinting (MRF) allows rapid simultaneous quantification of T1 and T2 relaxation times. This study assesses the utility of MRF in differentiating between common types of adult intra-axial brain tumors. MRF acquisition was performed in 31 patients with untreated intra-axial brain tumors: 17 glioblastomas, 6 WHO grade II lower-grade gliomas and 8 metastases. T1, T2 of the solid tumor (ST), immediate peritumoral white matter (PW), and contralateral white matter (CW) were summarized within each region of interest. Statistical comparisons on mean, standard deviation, skewness and kurtosis were performed using univariate Wilcoxon rank sum test across various tumor types. Bonferroni correction was used to correct for multiple comparisons testing. Multivariable logistic regression analysis was performed for discrimination between glioblastomas and metastases and area under the receiver operator curve (AUC) was calculated. Mean T2 values could differentiate solid tumor regions of lower-grade gliomas from metastases (mean±sd: 172±53ms and 105±27ms respectively, p =0.004, significant after Bonferroni correction). Mean T1 of PW surrounding lower-grade gliomas differed from PW around glioblastomas (mean±sd: 1066±218ms and 1578±331ms respectively, p=0.004, significant after Bonferroni correction). Logistic regression analysis revealed that mean T2 of ST offered best separation between glioblastomas and metastases with AUC of 0.86 (95% CI 0.69–1.00, p<0.0001). MRF allows rapid simultaneous T1, T2 measurement in brain tumors and surrounding tissues. MRF 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.