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• Clinical Article •
Comparison of 3D-ASL and 1H-MRS magnetic resonance imaging techniques for the preoperative grading of brain glioma
DONG Wei-min  QI Xu-hong  KANG Qun-feng  BI Dong-mei  YU Yang  MENG Fanqi  WEN Zhi-yong 

DOI:10.12015/issn.1674-8034.2016.11.005.


[Abstract] Objective: To investigate the value of three-dimensional arterial spin labeling (3D-ASL) MR perfusion imaging and 1H-magnetic resonance spectroscopy (1H-MRS) metabolite in grading the cerebral gliomas.Materials and Methods: 3D-ASL and 1H-MRS imaging of total 44 patients with pathologically- proved gliomas were retrospectively analyzed. According to the 2007 World Health Organization (WHO) standards, the patients were divided into low-grade glioma group (gradeⅠ—Ⅱ, 13 cases) and high-grade glioma group (grade Ⅲ—Ⅳ, 31 cases), measuring and calculating the values or relative values of CBF and metabolites of the tumor parenchyma and corresponding contralateral tissue for statistical analysis.Results: In the 44 cases of glioma, 3D-ASL related parameters (TBFmax, rCBF1, rCBF2) and 1H-MRS related parameters (rNAA, rCr, Cho/Cr, NAA/Cho) had statistically significant differences in the low-grade and the high-grade glioma group (P<0.05), and 1H-MRS parameters (rCho, NAA/Cr) had no statistically significant differences between the two groups (P>0.05). By receiver operating characteristic curve (ROC) analysis, the AUC of TBFmax, rCBF1, rCBF2 and rNAA, rCr, Cho/Cr, NAA/Cho was larger than 0.5 in glioma grades, while the AUC of 3D-ASL was 0.923 and the AUC of 1H-MRS was 0.871, both were lesser than the AUC of 3D-ASL plus 1H-MRS combination (0.955). The sensitivity and specificity of combining the two technologies in differentiating glioma grades were 87.1% and 100% respectively.Conclusions: Separately analysising 3D-ASL and 1H-MRS, 3D-ASL has a higher diagnostic value. combining the two technologies, which can complement each other, has a higher diagnostic value than 3D-ASL or 1H-MRS in differentiating glioma grades.
[Keywords] Glioma；Spin labels；Magnetic resonance spectroscopy；Neoplasm grading

DONG Wei-min Department of Radiotherapy, State Grid Corporation of Beijing Electric Power Hospital, Beijing 100073, China

QI Xu-hong Department of Radiotherapy, State Grid Corporation of Beijing Electric Power Hospital, Beijing 100073, China

KANG Qun-feng Department of Radiotherapy, State Grid Corporation of Beijing Electric Power Hospital, Beijing 100073, China

BI Dong-mei Department of Radiotherapy, State Grid Corporation of Beijing Electric Power Hospital, Beijing 100073, China

YU Yang Department of Radiotherapy, State Grid Corporation of Beijing Electric Power Hospital, Beijing 100073, China

MENG Fanqi Department of Radiotherapy, State Grid Corporation of Beijing Electric Power Hospital, Beijing 100073, China

WEN Zhi-yong* Department of Radiotherapy, State Grid Corporation of Beijing Electric Power Hospital, Beijing 100073, China

*Correspondence to: Wen ZY, E-mail: wenzhiyong@yahoo.com

Conflicts of interest   None.

Received  2016-09-13
Accepted  2016-10-15
DOI: 10.12015/issn.1674-8034.2016.11.005
DOI:10.12015/issn.1674-8034.2016.11.005.

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