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Clinical value of magnetic resonance imaging in identifying multiple cerebral gliomas from primary central nervous system lymphoma

  • Authors:
    • Yushan Chen
    • Alai Zhan
  • View Affiliations / Copyright

    Affiliations: Department of Radiology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian 363000, P.R. China
    Copyright: © Chen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 593-598
    |
    Published online on: May 13, 2019
       https://doi.org/10.3892/ol.2019.10352
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Abstract

Clinical value of magnetic resonance imaging (MRI) in identifying and diagnosing multiple cerebral glioma (MCG) from primary central nervous system lymphoma (PCNSL) was evaluated. A total of 21 patients with MCG diagnosed clinically and pathologically in Zhangzhou Municipal Hospital from March 2016 to April 2017 were selected as group A, and 30 patients with PCNSL diagnosed in Zhangzhou Affiliated Hospital of Fujian Medical University during the same period as group B. Plain MRI, enhanced MRI and diffusion weighted imaging (DWI) were performed in all patients, the apparent diffusion coefficient (ADC) value of lesions was measured, and the diagnostic efficacy of ADC for MCG and PCNSL was evaluated by receiver operating characteristic (ROC) curve. The incidence of hippocampus lesions, patchy and cystic lesions, and the heterogeneous signal of plain scan in group A was significantly higher than that in group B (P<0.05), and the incidence of basal ganglia lesions was significantly lower than that in group B (P<0.05). Mass lesions in group A were significantly less than those in group B (P<0.05). The ADC value of lesions in group A was significantly higher than that in contralateral normal white matter (P<0.05), the ADC value in group B was significantly lower than that in normal contralateral white matter (P<0.05), so the ADC value in group A was significantly higher than that in group B (P<0.05). The location, lesion shape and signal characteristic of MCG and PCNSL have their own specificity; there are significant differences in DWI signal and ADC color map signal intensity of the lesions; ADC has certain diagnostic value for MCG and PCNSL; the differential diagnosis of MCG from PCNSL by MRI is of great significance.
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Copy and paste a formatted citation
Spandidos Publications style
Chen Y and Zhan A: Clinical value of magnetic resonance imaging in identifying multiple cerebral gliomas from primary central nervous system lymphoma. Oncol Lett 18: 593-598, 2019.
APA
Chen, Y., & Zhan, A. (2019). Clinical value of magnetic resonance imaging in identifying multiple cerebral gliomas from primary central nervous system lymphoma. Oncology Letters, 18, 593-598. https://doi.org/10.3892/ol.2019.10352
MLA
Chen, Y., Zhan, A."Clinical value of magnetic resonance imaging in identifying multiple cerebral gliomas from primary central nervous system lymphoma". Oncology Letters 18.1 (2019): 593-598.
Chicago
Chen, Y., Zhan, A."Clinical value of magnetic resonance imaging in identifying multiple cerebral gliomas from primary central nervous system lymphoma". Oncology Letters 18, no. 1 (2019): 593-598. https://doi.org/10.3892/ol.2019.10352
Copy and paste a formatted citation
x
Spandidos Publications style
Chen Y and Zhan A: Clinical value of magnetic resonance imaging in identifying multiple cerebral gliomas from primary central nervous system lymphoma. Oncol Lett 18: 593-598, 2019.
APA
Chen, Y., & Zhan, A. (2019). Clinical value of magnetic resonance imaging in identifying multiple cerebral gliomas from primary central nervous system lymphoma. Oncology Letters, 18, 593-598. https://doi.org/10.3892/ol.2019.10352
MLA
Chen, Y., Zhan, A."Clinical value of magnetic resonance imaging in identifying multiple cerebral gliomas from primary central nervous system lymphoma". Oncology Letters 18.1 (2019): 593-598.
Chicago
Chen, Y., Zhan, A."Clinical value of magnetic resonance imaging in identifying multiple cerebral gliomas from primary central nervous system lymphoma". Oncology Letters 18, no. 1 (2019): 593-598. https://doi.org/10.3892/ol.2019.10352
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