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Differentiating Giant Cell Glioblastoma from Classic Glioblastoma With Diffusion-Weighted Imaging.

AbstractBACKGROUND:
Differential diagnosis of giant cell glioblastoma (GC) and classic glioblastoma (GBM) using conventional radiological modalities is difficult. This study aimed to use diffusion-weighted imaging (DWI) to distinguish GC from GBM and thereby improve the accuracy of preoperative assessment of patients with GB.
METHODS:
The clinical, magnetic resonance imaging, and pathologic data of 12 patients with GC and 21 patients with GBM were retrospectively analyzed. Independent sample t tests were used to compare the minimum apparent diffusion coefficient (ADCmin) and the normalized apparent diffusion coefficients (nADC) of the 2 tumor types. Receiver operating curve (ROC) analysis was used to assess the diagnostic efficacy of ADCmin and nADC values.
RESULTS:
Compared with that of the classic GBM group, the ADCmin (0.98 ± 0.14 vs. 0.80 ± 0.19×10-3 mm2/second, P = 0.007) and nADC (1.42 ± 0.25 vs. 1.17 ± 0.25, P = 0.011) of the GC group were significantly higher. ROC curve analysis showed that the maximum area under the curve of ADCmin and nADC were 0.800 ± 0.080 and 0.778 ± 0.082, respectively. The sensitivity, specificity, and accuracy distinguishing GC and classic GBM was best (83.33%, 76.19%, and 78.79%, respectively) when ADCmin = 0.84×10-3 mm2/second (maximum area under the ROC, 0.800). Its positive and negative predictive values under this condition were 88.89% and 66.67%, respectively.
CONCLUSIONS:
By distinguishing GC from classic GBM, the ADCmin parameter of DWI can improve the accuracy of the preoperative differential diagnosis of the 2 tumor types.
AuthorsCaiqiang Xue, Bin Zhang, Juan Deng, Xianwang Liu, Shenglin Li, Junlin Zhou
JournalWorld neurosurgery (World Neurosurg) Vol. 146 Pg. e473-e478 (02 2021) ISSN: 1878-8769 [Electronic] United States
PMID33127573 (Publication Type: Journal Article)
CopyrightCopyright © 2020 Elsevier Inc. All rights reserved.
Topics
  • Adult
  • Aged
  • Diagnosis, Differential
  • Diffusion Magnetic Resonance Imaging (methods)
  • Female
  • Glioblastoma (diagnosis, pathology)
  • Humans
  • Magnetic Resonance Imaging (methods)
  • Male
  • Middle Aged
  • Neuroblastoma (diagnosis, pathology)
  • Predictive Value of Tests
  • Retrospective Studies

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