Contribution of susceptibility‑ and diffusion‑weighted magnetic resonance imaging for grading gliomas
| العنوان: | Contribution of susceptibility‑ and diffusion‑weighted magnetic resonance imaging for grading gliomas |
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| المؤلفون: | Jianxing Xu, Hai Xu, Wei Zhang, Jiangang Zheng |
| المصدر: | Experimental and Therapeutic Medicine. |
| بيانات النشر: | Spandidos Publications, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Cancer Research, Receiver operating characteristic, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, Articles, General Medicine, medicine.disease, Diffusion-Weighted Magnetic Resonance Imaging, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Glioma grading, Immunology and Microbiology (miscellaneous), Glioma, Susceptibility weighted imaging, medicine, business, Nuclear medicine, Grading (tumors), 030217 neurology & neurosurgery, Diffusion MRI |
| الوصف: | 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. |
| تدمد: | 1792-1015 1792-0981 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::389247d70d1df8cce99100c17c6197eaTest https://doi.org/10.3892/etm.2018.6017Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....389247d70d1df8cce99100c17c6197ea |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 17921015 17920981 |
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