Significance of systemic immune-inflammation index in the differential diagnosis of high- and low-grade gliomas

Publication date: Available online 15 November 2017
Source:Clinical Neurology and Neurosurgery
Author(s): Ruofei Liang, Ni Chen, Mao Li, Xiang Wang, Qing Mao, Yanhui Liu
ObjectiveCirculating biomarkers have been increasingly appreciated in the grading of gliomas. This study aimed to assess the value of the systemic immune-inflammation index (SII) as a possible marker in the grading of gliomas.Materials and methodsIn our study, 153 patients with gliomas were included—53 patients had histologically verified low grade gliomas (LGG) and 100 patients had high grade gliomas (HGG). Preoperative complete blood count (CBC) and clinicopathological data were collected. The optimal SII cut-off value for grading of gliomas was calculated by receiver operating characteristics curve (ROC) analysis.ResultsBased on the ROC analysis, the most optimal cut-off value of SII to distinguish HGG and LGG was determined as 392.48×10⁹/L. For this cut-off value, SII had a sensitivity of 75%, specificity of 66%, and area under the curve (AUC) of 0.773. Furthermore, we found that patients in the high-SII group had a significantly higher Ki-67 index than that in patients in the low-SII group (P=0.002).ConclusionOur results demonstrate that SII has a moderate diagnostic accuracy for differentiating HGG from LGG. More studies are needed to confirm these results.



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