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Clinical Article
Differentiation between recurrent glioma and radiation-induced brain injuries using perfusion weighted imaging and diffusion weighted imaging
BAI Xue-fei  NIU Guang-ming  HAN Xiao-dong  GAO Yang  ZHANG Ying 

DOI:10.3969/j.issn.1674-8034.2014.01.002.


[Abstract] Objective: To evaluate the perfusion weighted imaging (PWI) and diffusion weighted imaging (DWI) in the differentiation of recurrent glioma and radiation-induced brain injuries.Materials and Methods: 30 patients with glioma having radiotherapy after surgery, presenting newly developed abnormal enhancement, were included in the study. The MR examintions comprised of conventional MR imaging, DWI and PWI. Comparison of abnormal enhancement parameter ratio area and contralateral normal area, including the relative cerebral blood volume (rCBV), relative cerebral blood flow (rCBF), relative mean transit time (rMTT) and the ratio of ADC.Results: Twenty of the 30 patients were proved glioma recurrence, ten were proved radiation-induced brain injuries. The mean rCBV ratio 2.11 (range 1.03—4.72) in glioma recurrence was higher than that 0.53 (range 0.24—1.10) in radiation injuries (P<0.05). The mean rCBF ratio 1.895 (range 0.8—4.56) in glioma recurrence was higher than that 0.515 (range 0.2—1.02) in radiation injuries (P<0.05). Resutls obtained in DWI were not statistically significant different between two analysed groups. The ADC ratio of glioma recurrence is slightly lower than the ADC ratio of radiation-induced brain injuries.Conclusions: PWI seems to be most reliable in differentiation between glioma recurrence and radiation-induced brain injuries. DWI do not differentiate analyzed groups with statistical significance, despite tendency to lower ADC values in recurrence group than in radiation-induced brian injuries.
[Keywords] Glioma;Radiotherapy;Brain injuries;Neoplasm recurrence, local;Magnetic resonance imaging

BAI Xue-fei Department of MRI, Affiliated Hospital, Inner Mongolia Medical University, Hohhot 010050, China

NIU Guang-ming* Department of MRI, Affiliated Hospital, Inner Mongolia Medical University, Hohhot 010050, China

HAN Xiao-dong Department of MRI, Affiliated Hospital, Inner Mongolia Medical University, Hohhot 010050, China

GAO Yang Department of MRI, Affiliated Hospital, Inner Mongolia Medical University, Hohhot 010050, China

ZHANG Ying Department of MRI, Affiliated Hospital, Inner Mongolia Medical University, Hohhot 010050, China

*Correspondence to: Niu GM, E-mail: cjr.niuguangming@vip.163.com

Conflicts of interest   None.

Received  2013-10-15
Accepted  2013-12-05
DOI: 10.3969/j.issn.1674-8034.2014.01.002
DOI:10.3969/j.issn.1674-8034.2014.01.002.

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