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• Clinical Article •
The study on rCBFmax value for predicting glioma grading before operation and the relationship between the MVD expression
WU Jing  WANG Wen-sheng  YAN Liu-qing  CHEN Kai-zhe  LIN Han-bo  CHENG Li-na  HE Peng  LIANG Qian-wen 

DOI:10.12015/issn.1674-8034.2018.06.004.


[Abstract] Objective: To explore the rCBFmax value for predicting glioma grading before operation and the relationship with MVD expression.Materials and Methods: 3D-ASL images from 50 patients with pathologically proven gliomas (high grade: n=20, low grade: n=30) were analyzed retrospectively. The mean maximum relative cerebral blood flow was obtained by the hot spot method. The MVD of surgical specimen were measured. The results were analyzed statistically.Results: The mean rCBFmax, and MVD of low grade gliomas (n=30) were 1.69±1.27, 25.43±13.03, while the high grade gliomas (n=20) were 3.18±1.46, 58.69±20.39, the difference between the two groups was statistically significant (P<0.01) and was positively correlated with the grade (r=0.620, 0.698, P<0.01). rCBFmax was positively correlated with MVD (r=0.723, P<0.01).Conclusions: The rCBFmax value is useful for predicting glioma grade before operation and is related to tumor microvessel density. The biologic behavior of glioma can be predicted to a certain extent.
[Keywords] Glioma；Neoplasm grading；Arterial spin labeling；Magnetic resonance imaging；Microvessel density

WU Jing Department of Medical Imaging, Guangdong 999 Brain Hospital, Guangzhou 510510, China

WANG Wen-sheng* Department of Medical Imaging, Guangdong 999 Brain Hospital, Guangzhou 510510, China

YAN Liu-qing Department of Medical Imaging, Guangdong 999 Brain Hospital, Guangzhou 510510, China

CHEN Kai-zhe Department of Medical Imaging, Guangdong 999 Brain Hospital, Guangzhou 510510, China

LIN Han-bo Department of Medical Imaging, Guangdong 999 Brain Hospital, Guangzhou 510510, China

CHENG Li-na Department of Medical Imaging, Guangdong 999 Brain Hospital, Guangzhou 510510, China

HE Peng Department of Medical Imaging, Guangdong 999 Brain Hospital, Guangzhou 510510, China

LIANG Qian-wen Department of Medical Imaging, Guangdong 999 Brain Hospital, Guangzhou 510510, China

*Corresponding to: Wang WS, E-mail: wws161616@sina.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of Medical Scientific Research Foundation of Guangdong Province No. A2016380
Received  2017-11-09
Accepted  2018-03-13
DOI: 10.12015/issn.1674-8034.2018.06.004
DOI:10.12015/issn.1674-8034.2018.06.004.

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