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AB070. Roles of neutrophil to lymphocyte ratio in differentiating glioblastoma from brain metastasis

Year: 2024
Type: conference-abstract
Abstract: BACKGROUND: Glioblastoma and brain metastasis are two types of brain tumors that have a significant impact on the global healthcare system, with high rates of morbidity and mortality. These tumors can be challenging to differentiate from each other, as they often present with similar symptoms and features on medical imaging. The purpose of this study was to investigate whether the neutrophil-to-lymphocyte ratio (NLR) could help distinguish between glioblastoma and brain metastasis. METHODS: This is a retrospective cross-sectional analysis that utilized medical records from six hospitals located in Yogyakarta, Indonesia from the period of 2016 to 2021. The study included patients who were diagnosed with glioblastoma and brain metastasis. Laboratory data was collected upon initial admission, and the diagnosis of glioblastoma and brain metastasis was based on a histopathological examination. RESULTS: This study included a total of 393 subjects, with the glioblastoma group comprising 121 subjects and the brain metastasis group comprising 272 subjects. The group with glioblastoma had a higher NLR (11.12±11.56 vs. 8.75±9.18, P=0.006) than the brain metastasis group. The area under the curve from the receiver operating characteristic analysis was 0.587 (95% confidence Interval: 0.528-0.647, P=0.006). An NLR value greater than 7.14 was found to have 55.4% sensitivity and 62.5% specificity in predicting glioblastoma. CONCLUSIONS: According to this study, the NLR value of patients suffering from glioblastoma was significantly higher when compared to those with brain metastasis. This indicates that there is a higher degree of systemic inflammation in glioblastoma as compared to brain metastasis. Therefore, the NLR value can be a useful diagnostic tool to distinguish between glioblastoma and brain metastasis.
Language: English
Subfield: Oncology
Field: Medicine
Open Access status: diamond
OpenAlex ID: W4401617245
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