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• Clinical Article •
Application of multimodal magnetic resonance imaging in the evaluation of gliomas
LIN Kun  CIDAN Wang-jiu  QI Ying  WANG Xiao-ming 

DOI:10.12015/issn.1674-8034.2018.01.004.


[Abstract] Objective: To investigate the application of multimodal magnetic resonance imaging in the diagnosis and grading of gliomas.Materials and Methods: Thirty patients of glioma with pathological and immune-histochemical confirmation, who underwent conventional and functional MRI were retrospectively enrolled in the study. Tumor enhancement, peritumoral edema, signal intensity of diffusion weighted imaging (DWI), intratumoral susceptibility signal intensity (ITSS) in susceptibility weighted imaging (SWI), perfusion in arterial spin labeling (ASL) and state of fiber bundles were compared in high grade gliomas and low grade gliomas. Fractional anisotropy (FA) value and apparent diffusion coefficient (ADC) value in diffusion tensor imaging (DTI) as well as choline (Cho) /creatine (Cr), N-acetyl aspartic acid (NAA)/Cr and Cho/NAA in 1H MR spectroscopy (MRS) were measured and calculated. The differences of all the above indexes in the two groups were statistically analyzed.Results: There were 15 HGG and 15 LGG. Peritumoral edema, ASL perfusion, fiber bundles state, ADC value and Cho/Cr, NAA/Cr, Cho/NAA between the two groups were significantly different (P <0.05). Tumor enhancement, DWI signal intensity, ITSS and FA value were not significantly different (P>0.05). The area under curve (AUC) of ASL perfusion, fiber bundle status, ITSS, ADC, Cho/Cr, NAA/Cr, Cho/NAA and FA were 0.889, 0.833, 0.778, 0.972, 0.972, 1.000, 1.000 and 0.486, respectively. The combined AUC of peritumoral edema, tumor enhancement and DWI signal intensity was 0.796.Conclusions: Multimodal MRI can provide comprehensive information of glioma, which plays a significant role in accurate diagnosis.
[Keywords] Glioma；Multimodal imaging；Magnetic resonance imaging；Diagnosis

LIN Kun Department of Radiology, Shengjing Hospital, China Medical University, Shenyang 110004, China

CIDAN Wang-jiu Department of Radiology, People's Hospital of Tibet Autonomous Region, Lhasa 850000, China

QI Ying Department of Radiology, Shengjing Hospital, China Medical University, Shenyang 110004, China

WANG Xiao-ming* Department of Radiology, Shengjing Hospital, China Medical University, Shenyang 110004, China

*Correspondence to: Wang XM, E-mail: wangxm024@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  Clinical Capability Construction Project for Liaoning Provincial Hospitals No. LNCCC-B06-2014 Outstanding Scientific Fund of Shengjing Hospital No. 2014-02
Received  2017-09-11
Accepted  2017-11-20
DOI: 10.12015/issn.1674-8034.2018.01.004
DOI:10.12015/issn.1674-8034.2018.01.004.

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