Brain T1ρ mapping for grading and IDH1 gene mutation detection of gliomas: a preliminary study
The longitudinal relaxation time in the rotating frame (T1ρ) has proved to be sensitive to metabolism and useful in application to neurodegenerative diseases. However, few literature exists on its utility in gliomas. Thus, this study was conducted to explore the performance of T1ρ mapping in tumor grading and characterization of isocitrate dehydrogenase 1 (IDH1) gene mutation status of gliomas.
Fifty-seven patients with gliomas underwent brain MRI and quantitative measurements of T1ρ and apparent diffusion coefficient (ADC) were recorded. Parameters were compared between high-grade gliomas (HGG) and low-grade gliomas (LGG) and between IDH1 mutant and wildtype groups.
HGG showed significantly higher T1ρ values in both the solid and peritumoral edema areas compared with LGG (P < 0.001 and P = 0.005, respectively), whereas no significant differences in the two areas were found for ADC (both P > 0.05). Receiver operating characteristic (ROC) curve analysis showed that T1ρ value in the solid area achieved the highest area under the ROC curve (AUC, 0.841) in grading with a sensitivity of 80.6% and a specificity of 81.0%. In the grade II/III glioma group, multivariate logistic regression showed that both tumor frontal lobe location (odds ratio [OR] 526.608; P = 0.045) and T1ρ value of the peritumoral edema area (OR 0.863; P = 0.037) were significant predictors of IDH1 mutation. Using the combination, the diagnostic sensitivity and specificity for IDH1 mutated gliomas were 93.3% and 88.9%, respectively.
Our study shows the feasibility of applying T1ρ mapping in assessing the histologic grade and IDH1 mutation status of gliomas.
KeywordsDiagnosis Magnetic resonance imaging Glioma Neoplasm grading Isocitrate dehydrogenase
World Health Organization
Isocitrate dehydrogenase 1
Magnetic resonance imaging
Apparent diffusion coefficient
Longitudinal relaxation time in the rotating frame
Fluid-attenuated inversion recovery
Field of view
Spin lock time
Region of interest
Normal-appearing white matter
Intraclass correlation coefficient
Receiver operating characteristic
Area under the curve
This study has received funding by National Natural Science Foundation of China (contract Grant Number: 81701642, 81571650, and 81501458); Shanghai Science and Technology Committee Medical Guide Project (western medicine) (contract Grant Number: 17411964300); and Medical Engineering Cross Research Foundation of Shanghai Jiao Tong University (contract Grant Number: YG2015QN37).
Compliance with ethical standards
Conflict of interest
J. Qu is employee of GE healthcare. The other authors declare that they have no conflict of interest.
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