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Article

Contribution of susceptibility‑ and diffusion‑weighted magnetic resonance imaging for grading gliomas

  • Authors:
    • Jianxing Xu
    • Hai Xu
    • Wei Zhang
    • Jiangang Zheng
  • View Affiliations / Copyright

    Affiliations: Department of Radiology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu 213002, P.R. China, Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 213002, P.R. China
  • Pages: 5113-5118
    |
    Published online on: April 2, 2018
       https://doi.org/10.3892/etm.2018.6017
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Abstract

The aim of the present study was to assess the value of susceptibility‑weighted imaging (SWI) and diffusion‑weighted imaging (DWI) in the grading of gliomas and to evaluate the correlation between these quantitative parameters derived from SWI and DWI. A total of 49 patients with glioma were assessed by DWI and SWI. The evaluation included the ratio of apparent diffuse coefficient values between the solid portion of tumors and contralateral normal white matter (rADC) and the degree of intratumoral susceptibility signal intensity (ITSS) within tumors. Receiver operating characteristic curve (ROC) analyses were performed and the area under the ROC curve was calculated to compare the diagnostic performance, determine optimum thresholds for tumor grading, and calculate the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for identifying high‑grade gliomas. The correlation between DWI‑ and SWI‑derived parameters was also evaluated. The rADC and the degrees of ITSS within tumors were significantly higher in high‑grade gliomas than those in low‑grade gliomas. ROC curve analysis indicated that the rADC was a better index for grading gliomas than the ITSS degree. Statistical analysis demonstrated a threshold value of 1.497 for rADC to provide a sensitivity, specificity, PPV and NPV of 86.2, 85.0, 89.3 and 81.0%, respectively, for determining high‑grade gliomas. A degree of ITSS of 1.5 was defined as the threshold to identify high‑grade gliomas and sensitivity, specificity, PPV and NPV of 82.8, 75.0, 82.8 and 75.0% were obtained, respectively. Furthermore, a moderate inverse correlation between rADC and the ITSS degree was revealed. Combination of SWI with DWI may provide valuable information for glioma grading.
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Copy and paste a formatted citation
Spandidos Publications style
Xu J, Xu H, Zhang W and Zheng J: Contribution of susceptibility‑ and diffusion‑weighted magnetic resonance imaging for grading gliomas. Exp Ther Med 15: 5113-5118, 2018.
APA
Xu, J., Xu, H., Zhang, W., & Zheng, J. (2018). Contribution of susceptibility‑ and diffusion‑weighted magnetic resonance imaging for grading gliomas. Experimental and Therapeutic Medicine, 15, 5113-5118. https://doi.org/10.3892/etm.2018.6017
MLA
Xu, J., Xu, H., Zhang, W., Zheng, J."Contribution of susceptibility‑ and diffusion‑weighted magnetic resonance imaging for grading gliomas". Experimental and Therapeutic Medicine 15.6 (2018): 5113-5118.
Chicago
Xu, J., Xu, H., Zhang, W., Zheng, J."Contribution of susceptibility‑ and diffusion‑weighted magnetic resonance imaging for grading gliomas". Experimental and Therapeutic Medicine 15, no. 6 (2018): 5113-5118. https://doi.org/10.3892/etm.2018.6017
Copy and paste a formatted citation
x
Spandidos Publications style
Xu J, Xu H, Zhang W and Zheng J: Contribution of susceptibility‑ and diffusion‑weighted magnetic resonance imaging for grading gliomas. Exp Ther Med 15: 5113-5118, 2018.
APA
Xu, J., Xu, H., Zhang, W., & Zheng, J. (2018). Contribution of susceptibility‑ and diffusion‑weighted magnetic resonance imaging for grading gliomas. Experimental and Therapeutic Medicine, 15, 5113-5118. https://doi.org/10.3892/etm.2018.6017
MLA
Xu, J., Xu, H., Zhang, W., Zheng, J."Contribution of susceptibility‑ and diffusion‑weighted magnetic resonance imaging for grading gliomas". Experimental and Therapeutic Medicine 15.6 (2018): 5113-5118.
Chicago
Xu, J., Xu, H., Zhang, W., Zheng, J."Contribution of susceptibility‑ and diffusion‑weighted magnetic resonance imaging for grading gliomas". Experimental and Therapeutic Medicine 15, no. 6 (2018): 5113-5118. https://doi.org/10.3892/etm.2018.6017
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