Rusdy Ghazali Malueka, Rachmat Andi Hartanto, Andre Stefanus Panggabean, Alfian Rismawan, Yeshua Putra Krisnugraha, Christina Megawimanti Sianipar, Kusumo Dananjoyo, Ahmad Asmedi, Ery Kus Dwianingsih
{"title":"AB070.中性粒细胞与淋巴细胞比率在区分胶质母细胞瘤和脑转移瘤中的作用","authors":"Rusdy Ghazali Malueka, Rachmat Andi Hartanto, Andre Stefanus Panggabean, Alfian Rismawan, Yeshua Putra Krisnugraha, Christina Megawimanti Sianipar, Kusumo Dananjoyo, Ahmad Asmedi, Ery Kus Dwianingsih","doi":"10.21037/cco-24-ab070","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":9945,"journal":{"name":"Chinese clinical oncology","volume":"13 Suppl 1","pages":"AB070"},"PeriodicalIF":2.1000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AB070. 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The purpose of this study was to investigate whether the neutrophil-to-lymphocyte ratio (NLR) could help distinguish between glioblastoma and brain metastasis.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":9945,\"journal\":{\"name\":\"Chinese clinical oncology\",\"volume\":\"13 Suppl 1\",\"pages\":\"AB070\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chinese clinical oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.21037/cco-24-ab070\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese clinical oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21037/cco-24-ab070","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
AB070. Roles of neutrophil to lymphocyte ratio in differentiating glioblastoma from brain metastasis.
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.
期刊介绍:
The Chinese Clinical Oncology (Print ISSN 2304-3865; Online ISSN 2304-3873; Chin Clin Oncol; CCO) publishes articles that describe new findings in the field of oncology, and provides current and practical information on diagnosis, prevention and clinical investigations of cancer. Specific areas of interest include, but are not limited to: multimodality therapy, biomarkers, imaging, tumor biology, pathology, chemoprevention, and technical advances related to cancer. The aim of the Journal is to provide a forum for the dissemination of original research articles as well as review articles in all areas related to cancer. It is an international, peer-reviewed journal with a focus on cutting-edge findings in this rapidly changing field. To that end, Chin Clin Oncol is dedicated to translating the latest research developments into best multimodality practice. The journal features a distinguished editorial board, which brings together a team of highly experienced specialists in cancer treatment and research. The diverse experience of the board members allows our editorial panel to lend their expertise to a broad spectrum of cancer subjects.