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Brain T1ρ mapping for grading and IDH1 gene mutation detection of gliomas: a preliminary study

  • Clinical Study
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Journal of Neuro-Oncology Aims and scope Submit manuscript

Abstract

Introduction

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.

Methods

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.

Results

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.

Conclusions

Our study shows the feasibility of applying T1ρ mapping in assessing the histologic grade and IDH1 mutation status of gliomas.

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Abbreviations

WHO:

World Health Organization

LGG:

Low-grade glioma

HGG:

High-grade glioma

IDH1:

Isocitrate dehydrogenase 1

MRI:

Magnetic resonance imaging

DWI:

Diffusion-weighted imaging

ADC:

Apparent diffusion coefficient

T1ρ:

Longitudinal relaxation time in the rotating frame

FLAIR:

Fluid-attenuated inversion recovery

TR:

Repetition time

TE:

Echo time

FOV:

Field of view

SLT:

Spin lock time

ROI:

Region of interest

NAWM:

Normal-appearing white matter

ICC:

Intraclass correlation coefficient

ROC:

Receiver operating characteristic

AUC:

Area under the curve

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Acknowledgements

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).

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Author notes

  1. Mengqiu Cao and Weina Ding contributed equally to this work.

Authors and Affiliations

  1. Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Rd., Shanghai, 200127, People’s Republic of China

    Mengqiu Cao, Weina Ding, Xu Han, Shiteng Suo, Yawen Sun, Yao Wang & Yan Zhou

  2. GE Healthcare China, Shanghai, 201203, People’s Republic of China

    Jianxun Qu

  3. Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, People’s Republic of China

    Xiaohua Zhang

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  1. Mengqiu Cao
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  2. Weina Ding
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  3. Xu Han
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  4. Shiteng Suo
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  5. Yawen Sun
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  6. Yao Wang
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  9. Yan Zhou
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Corresponding author

Correspondence to Yan Zhou.

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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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Cao, M., Ding, W., Han, X. et al. Brain T1ρ mapping for grading and IDH1 gene mutation detection of gliomas: a preliminary study. J Neurooncol 141, 245–252 (2019). https://doi.org/10.1007/s11060-018-03033-7

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  • DOI: https://doi.org/10.1007/s11060-018-03033-7

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