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• Clinical Article •
The apply value of apparent diffusion coefficient in the differential diagnosis between cortex-involved gliomas and subacute cerebral infarction
ZHANG Jie  LOU Xin  LENG QI  HU Guang-zhong  DU Jing-bo 

DOI:10.12015/issn.1674-8034.2017.07.003.


[Abstract] Objective: To investigate the value of apparent diffusion coefficient (ADC) in the differential diagnosis between cortex-involved gliomas and subacute cerebral infarction.Materials and Methods: The MRI data including convention MRI and diffusion weighted imaging (DWI) from 24 cases with cortex-involved gliomas confirmed by pathology and 24 cases with subacute cerebral infarction treated by formal medical therapy were retrospectively analyzed. Compare the ADC value of the solid part of cortex-involved gliomas, the central part of subacute cerebral infarction and normal brain tissue.Results: Twenty-seven lesions were detected in 24 cases with cortex-involved gliomas. There were 10 cases with low-grade gliomas and 14 cases with high-grade gliomas. On DWI, tumor substantial part showed slightly higher or medium signal intensity and necrotic area was significantly lower signal intensity. The mean ADC value of tumor substantial part was (1.21±0.16)×10-3 mm2/s. The mean ADC value of low-grade gliomas was (1.28±0.17)×10-3 mm2/s, and that of high-grade gliomas was (1.01±0.22)×10-3 mm2/s, and mean ADC value of corresponding contralateral normal area was (0.84±0.07)×10-3 mm2/s, there was significant difference in ADC values between cortex-involved gliomas and nomal tissue (P<0.05). Subacute cerebral infarction appeared as hyper-intensity on DWI, the mean ADC value was (0.49±0.07)×10-3 mm2/s. There was significant differences in ADC value between cortex-involved glioma and subacute cerebral infarction (P<0.05).Conclusions: It is of significant value to combine ADC value, DWI, conventional MRI appearance and contrast-enhanced appearance in differentiating diagnosis of cortex-involved glioma from subacute cerebral infarction.
[Keywords] Glioma；Brain infarction；Magnetic resonance imaging

ZHANG Jie Department of Radiology, Daxing teaching hospital of capital medical university, Beijing 102600, China

LOU Xin Department of Radiology, China PLA General Hospital, Beijing 100853, China

LENG QI Department of Radiology, Daxing teaching hospital of capital medical university, Beijing 102600, China

HU Guang-zhong Department of Radiology, Daxing teaching hospital of capital medical university, Beijing 102600, China

DU Jing-bo* Department of Radiology, Daxing teaching hospital of capital medical university, Beijing 102600, China

*Correspondence to: Du JB, E-mail: djblcj@163.com

Conflicts of interest   None.

Received  2017-01-23
Accepted  2017-06-07
DOI: 10.12015/issn.1674-8034.2017.07.003
DOI:10.12015/issn.1674-8034.2017.07.003.

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