scholarly journals Peripheral Inflammatory Blood Markers in Diagnosis of Glioma and IDH Status

2021 ◽  
Vol 12 (01) ◽  
pp. 088-094
Author(s):  
Gaurav Sharma ◽  
Shashi Kant Jain ◽  
Virendra Deo Sinha
Keyword(s):  
Treatment Response ◽  
Acoustic Neuroma ◽  
Area Under The Curve ◽  
Prognostic Nutritional Index ◽  
Diagnostic Value ◽  
Response Monitoring ◽  
P Value ◽  
Inflammatory Biomarker ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio

Abstract Objective Gliomas are the most common intracranial tumors. Histopathology and neuroimaging are the main modalities used for diagnosis and treatment response monitoring. However, both are expensive and insensitive methods and can cause neurological deterioration. This study aimed to develop a minimally invasive peripheral inflammatory biomarker for diagnosis of glioma, its grade, and isocitrate dehydrogenase (IDH) status. Materials and Methods Patients undergoing surgery for glioma, acoustic neuroma, and meningioma between January 2019 and December 2019 were included. Preoperative neutrophil/lymphocyte ratio (NLR), derived NLR (dNLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), eosinophil/lymphocyte ratio (ELR), and prognostic nutritional index (PNI) were calculated. Histopathology and immunohistochemistry (IHC) staining were done postoperatively. Results A total of 154 patients of glioma, 36 patients of acoustic neuroma, 58 patients of meningioma, and 107 healthy controls were included. dNLR showed the maximum area under the curve (AUC) (0.656639) for diagnosis of glioma from other tumors and among combinations. dNLR +NLR showed the maximum AUC (0.647865). Maximum AUC for glioblastoma multiforme (GBM) versus other grades and among combinations was shown by NLR (0.83926). NLR + dNLR had the maximum AUC (0.764794). NLR showed significant p value in differentiating IDH wild from IDH mutant GBM. Conclusion dNLR has the maximum diagnostic value in diagnosing glioma from other tumors. NLR (AUC = 0.83926) showed the highest accuracy for GBM diagnosis and may be a parameter in predicting the grade of glioma; also, it has maximum diagnostic value in differentiating IDH wild GBM from IDH mutant GBM. These peripheral inflammatory parameters may prove to be sensitive and cost-effective markers for glioma diagnosis, predicting grade of glioma, monitoring of treatment response, and in predicting recurrence.

Inflammatory biomarkers as pronostic factors of mortality in critical ILL oncology patients at ICU.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e14535-e14535
Author(s):  
Carlos Aliaga Macha ◽  
Thanya Runciman ◽  
Carlos F. Carracedo
Keyword(s):  
Prognostic Factors ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Inflammatory Markers ◽  
Area Under The Curve ◽  
Roc Curves ◽  
P Value ◽  
Predictive Values ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio

e14535 Background: Inflammatory markers have been used as prognostic factors in multiple malignancies.In cancer patients, critically ill, the utility of these have limited data.The aim of our study is to determine whether neutrophil lymphocyte ratio (NLR) or lymphocyte platelet ratio(PLR) are prognostic factors for mortality in critically ill patients. Methods: We retrospectively analyzed data of 79 patients with solid tumors admitted to ICU at Sanna-Aliada Clinic between January 2018 to December 2018. Inflammatory markers results were obtained from laboratory tests performed during the first 24h of admission to ICU. Receiving operating characteristic (ROC) curves were constructed and the sensitivity, specificity, predictive values and probability indicators for the NLR and PLR. Results: A total of 79 patients were assessed, 39 women and 40 men. The average age was 60.28 years, median of 61 ( 18 to 91). 51.9% had metastatic disease. The most frequent places were lung 12 (15.2 %) and brain 9 (11,4%) . The main cause for admission to ICU was infectious disease (40.5%). The analysis of normality (Kolmogorov-Smirnov test) indicates that the variables age, hemoglobin, leukocytes, platelets, neutrophils, lymphocytes, have a normal deviation while the other variables: lactate, PCR, neutrophil to lymphocyte ratio (NLR) , Platelet to lymphocyte ratio (PLR) are not distributed normally. Regarding mortality, 44 patients were alive at 30 days (66.7%), and 30 (45.5%) were alive at 90 days. The average stay in the ICU was 8.43 days, with a median of 6, (SD 7.17, 1 to 40 days), 22.8% died in the ICU. The evaluation of PLR and NLR as a mortality marker is significant for the group of patients admitted to the ICU due to a noninfectious pathology, generating an area under the curve (AUC) of 0.706 for NLR (95% CI, 0.535 - 0.876, p-value = 0.035) and 0.767 for PLR (95% CI, 0.615-0.918; p-value = 0.006); the optimal cut point by Youden’s index for NLR was 8.29 and 267.94 for PLR (Sensitivity: 76%, Specificity: 67%). In contrast, the group with infectious pathology, the AUC was 0.47 for NLR (p = 0.78) and 0.42 for PLR (p = 0.44). The relationship of the biomarkers with stay in ICU was also evaluated, finding a statistically significant association with the lactate value (p = 0.024, Kruskal-Wallis) Conclusions: Inflammatory markers are useful as predictive markers of mortality in critically ill patients due to non-infectious causes. The lactate value serves as a predictive factor of stay in the ICU for all the patients. We suggest carrying out prospective studies to confirm the validity of our findings.

scholarly journals High Neutrophil-Lymphocyte Ratio Predicts Serious Renal Insufficiency in Patients With Lupus Nephritis

2021 ◽  
Author(s):  
Dijiao Tang ◽  
Qi Tang ◽  
Xiaojiong Jia ◽  
Long Zhang ◽  
Hongxu Wang
Keyword(s):  
Lupus Nephritis ◽  
Renal Impairment ◽  
Lupus Erythematosus ◽  
Renal Involvement ◽  
Area Under The Curve ◽  
Diagnostic Value ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Reactive Protein ◽  
Chronic Nephritis

Abstract Background Recently, neutrophil-lymphocyte ratio (NLR), a biomarker used to monitor inflammation and immune response, has been shown to be a prognostic marker in systemic lupus erythematosus (SLE). Objective To investigate the association between pretreatment NLR and renal impairment in patients with lupus nephritis(LN). Methods This retrospective study included 88 LN patients, 51 SLE patients without renal involvement, 79 patients with primary chronic nephritis (CN) and 52 healthy controls (HC). The differentiation was analyzed among these four groups via Whitney U test, and correlations among variables were evaluated in LN patients. Finally, receiver operating characteristic curves (ROC) was performed to evaluate the diagnostic value of NLR in patients with LN. Results Pretreatment NLR of LN patients was significantly higher than that of the other three groups. The NLR was positively associated with complement 3(C3), C4, C-reactive protein (CRP) and serum creatinine (SCr) (C3: r = 0.222, p = 0.042; C4: r = 0.230, p = 0.035; CRP: r = 0.337, p = 0.007; SC: r = 0.408, p < 0.0001) but inversely correlated with IgG (r=-0.226, p = 0.041). NLR level increased with severity of renal impairment. NLR (area under the curve (AUC): 0.785, 95% CI = 0.708–0.862) was useful for diagnosis of LN, and its optimal cutoff was 5.44 (sensitivity: 65.9%, specificity: 86.3%). Conclusions A high NLR was associated with severe renal function impairment in LN patients. NLR would be useful for diagnosis of LN and reflect severity of renal impairment. Thus, evaluating pretreatment NLR could help clinicians identify the potential renal involvement in SLE patients and distinguish LN from CN, so clinicians could conduct early triage and initiate effective management in time.

scholarly journals Prognostic Value of Inflammatory Biomarkers in Patients with Severe COVID-19: A Single-Center Retrospective Study

2021 ◽  
Vol 16 ◽  
pp. 117727192110270
Author(s):  
Gönül Açıksarı ◽  
Mehmet Koçak ◽  
Yasemin Çağ ◽  
Lütfiye Nilsun Altunal ◽  
Adem Atıcı ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Hospital Mortality ◽  
Prognostic Value ◽  
Current Knowledge ◽  
Area Under The Curve ◽  
Prognostic Nutritional Index ◽  
Inflammatory Biomarkers ◽  
Single Center ◽  
Discriminative Ability ◽  
Lymphocyte Ratio

Background: The current knowledge about novel coronavirus-2019 (COVID-19) indicates that the immune system and inflammatory response play a crucial role in the severity and prognosis of the disease. In this study, we aimed to investigate prognostic value of systemic inflammatory biomarkers including C-reactive protein/albumin ratio (CAR), prognostic nutritional index (PNI), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) in patients with severe COVID-19. Methods: This single-center, retrospective study included a total of 223 patients diagnosed with severe COVID-19. Primary outcome measure was mortality during hospitalization. Multivariate logistic regression analyses were performed to identify independent predictors associated with mortality in patients with severe COVID-19. Receiver operating characteristic (ROC) curve was used to determine cut-offs, and area under the curve (AUC) values were used to demonstrate discriminative ability of biomarkers. Results: Compared to survivors of severe COVID-19, non-survivors had higher CAR, NLR, and PLR, and lower LMR and lower PNI ( P < .05 for all). The optimal CAR, PNI, NLR, PLR, and LMR cut-off values for detecting prognosis were 3.4, 40.2, 6. 27, 312, and 1.54 respectively. The AUC values of CAR, PNI, NLR, PLR, and LMR for predicting hospital mortality in patients with severe COVID-19 were 0.81, 0.91, 0.85, 0.63, and 0.65, respectively. In ROC analysis, comparative discriminative ability of CAR, PNI, and NLR for hospital mortality were superior to PLR and LMR. Multivariate analysis revealed that CAR (⩾0.34, P = .004), NLR (⩾6.27, P = .012), and PNI (⩽40.2, P = .009) were independent predictors associated with mortality in severe COVID-19 patients. Conclusions: The CAR, PNI, and NLR are independent predictors of mortality in hospitalized severe COVID-19 patients and are more closely associated with prognosis than PLR or LMR.

Prediction of Troponin elevation in Non- ST Acute Coronary Syndrome Patients presenting to The Emergency Department Using Neutrophil-lymphocyte ratio

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Sarah Mohamed Mahmoud ◽  
Bassam Sobhy ◽  
Ramy Raymond
Keyword(s):  
Emergency Department ◽  
Acute Coronary Syndrome ◽  
Complete Blood Count ◽  
P Value ◽  
Troponin Elevation ◽  
Positive Group ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Coronary Syndrome

Abstract Background The neutrophil–lymphocyte ratio (NLR) is considered an independent predictor of mortality and myocardial infarction (MI) in stable coronary artery disease (SCAD). Also NLR have prognostic value in patients with acute coronary syndromes (ACSs). However the diagnostic power of NLR in patients suspected of ACS is still under study Objective is to determine the ability of neutrophil-lymphocyte ratio to predict troponin elevation in patients presenting to emergency department with acute coronary syndrome Material and Methods From June 2018 to March 2019, 100 patients were enrolled who presented to the ER with NST-ACS. Patients were divided into 2 groups based upon the troponin positivity in the 12- to 24-hour follow-up. Baseline Complete blood count with calculation of NLR is done Results The study population was divided into 2 groups: troponin- negative group (n = 50) and troponin-positive group (n = 50). Mean age was 55.8 ± 11.3. 77% of the patients were male. No significance difference in the level of hemoglobin, WBCs and platelets between the 2 groups. The neutrophil count was significantly higher in the troponin-positive group (p &lt; 0.001). The median admission. NLR was significantly higher in the troponin-positive group (2 vs. 3.9, P &lt; 0.001). A cutoff point of 3.4 for NLR measured on admission had 84% sensitivity and 84% specificity in predicting follow-up troponin positivity. A highly significant correlation was found between NLR and level of troponin change (p value &lt;0.01) Conclusion NLR can be used as a diagnostic tool in the differentiation of patients with acute coronary syndrome. NLR is a non-expensive, simple and available parameter that can be used in diagnosis of NSTEMI.

Evaluation of neutrophil–lymphocyte ratio in predicting bloodstream infection

2019 ◽  
Vol 13 (15) ◽  
pp. 1255-1261 ◽  
Author(s):  
Jian Qu ◽  
Hai-Yan Yuan ◽  
Ying Huang ◽  
Qiang Qu ◽  
Zhan-Bo Ou-Yang ◽  
...  
Keyword(s):  
Bloodstream Infection ◽  
Operating Characteristic ◽  
Area Under The Curve ◽  
Study Group ◽  
Healthy Controls ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Gram Positive Bacteria ◽  
Diagnostic Indicator

Aim: The prognostic role of neutrophil-to-lymphocyte ratio (NLR) in bloodstream infection (BSI) deserves further investigation. Patients & methods: The NLR values were measured and compared in BSI patients and healthy controls. The receiver operating characteristic of NLR and cut-off values were measured in BSI patients and subgroups. Results: We have measured the NLR of study group with 2160 BSI patients and normal group with 2523 healthy controls, which was significantly high in study group (11.36 ± 21.38 vs 2.53 ± 0.86; p < 0.001) and the area under the curve was 0.834 (95% CI: 0.825–0.842; p < 0.001). The critical value of NLR for diagnosis of BSI was 3.09, with a sensitivity of 75.3%, and a specificity of 93.6%. Conclusion: NLR is an effective diagnostic indicator of including BSIs of Gram-negative bacteria, Gram-positive bacteria and fungus.

scholarly journals Recipient Pre-Operative Neutrophil Lymphocyte Ratio Better Predicts Delayed Graft Function than Platelet Lymphocyte Ratio in Donation after Brain Death Kidney Transplantation

2019 ◽  
Vol 2 (2) ◽  
pp. 209-216
Author(s):  
Dilip Baral ◽  
Yunying Yang ◽  
Gaurav Katwal ◽  
Shiyi Li ◽  
Shengjie Wang ◽  
...  
Keyword(s):  
Graft Function ◽  
Delayed Graft Function ◽  
Full Blood Count ◽  
P Value ◽  
Kidney Transplant Patient ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Patient Demographics ◽  
Platelet Lymphocyte Ratio ◽  
The Status

Background: Neutrophil lymphocyte Ratio (NLR) and Platelet lymphocyte Ratio (PLR) are an indicator of the status of inflammation. The objective of this study was to evaluate the relationship between recipient pre-operative Neutrophil lymphocyte Ratio (NLR) and Platelet lymphocyte Ratio (PLR) with delayed graft function in the kidney transplant patient. Methods: The preoperative full blood count, data regarding patient demographics and postoperative graft function was retrospectively evaluated from the database of our institution. All statistical calculations were carried out using SPSS 20.0 version (SPSS Inc., Chicago, IL, USA). A p-value<0.05 was considered statistically significant. Results: 289 patients were included in this study. DGF occurred in 33 cases. Elevated preoperative NLR had a sensitivity of 75.75% and specificity of 76.56% whereas elevated preoperative PLR had a sensitivity of 72.72% and specificity of 58.20% for predicting DGF. The area under the ROC curve was found to be 0.762 and 0.655 for NLR and PLR, respectively. Multivariate analysis showed NLR>3.5 and PLR>120 independently responsible for DGF. Conclusion: Recipient preoperative NLR and PLR can predict the occurrence of DGF following DBD renal transplantation. In addition, NLR is better than PLR in predicting DGF. DGF prolongs the total ICU and in-hospital stay.

scholarly journals Diagnostic Value of the Neutrophil/Lymphocyte Ratio, Platelet/Lymphocyte Ratio, and Thrombocytosis in the Preoperative Investigation of Ovarian Masses

2020 ◽  
Vol 42 (07) ◽  
pp. 397-403
Author(s):  
Adriana Yoshida ◽  
Luís Otavio Sarian ◽  
Marcos Marangoni ◽  
Isis Caroline Firmano ◽  
Sophie Françoise Derchain
Keyword(s):  
Clinical Utility ◽  
Complete Blood Count ◽  
Diagnostic Value ◽  
Tertiary Hospital ◽  
Cancer Antigen 125 ◽  
Platelet To Lymphocyte Ratio ◽  
Decision Curve Analysis ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Ovarian Masses

Abstract Objective To evaluate the diagnostic accuracy of cancer antigen 125 (CA125) and complete blood count (CBC) parameters, such as the neutrophil to lymphocyte ratio (NLR), the platelet to lymphocyte ratio (PLR), and thrombocytosis in patients with ovarian masses. Methods The present is a retrospective study conducted at a single tertiary hospital from January 2010 to November 2016. We included consecutive women referred due to suspicious adnexal masses. The CBC and CA125 were measured in the serum of 528 women with ovarian masses before surgery or biopsy. We evaluated the diagnostic performance of the NLR, PLR, platelets (PLTs), CA125, and the associations between them. We tested the clinical utility of the CBC parameters and CA125 in the discrimination of ovarian masses through decision curve analysis (DCA). Results The best balance between sensitivity and specificity was obtained by the associations of CA125 or PLTs ≥ 350/nL, with 70.14% and 71.66%, CA125 or PLTs ≥ 400/nL, with 67.30% and 81.79%, CA125 or PLR, with 76.3% and 64.87%, and CA125 or NLR, with 71.09% and 73.89% respectively. In the DCA, no isolated CBC parameter presented a higher clinical utility than CA125 alone. Conclusion We showed that no CBC parameter was superior to CA125 in the prediction of the malignancy of ovarian tumors in the preoperative scenario.

Survival stratification using a baseline inflammatory physiology based scoring system in advanced non-small cell lung cancer (NSCLC) treated with anti-programmed cell death-1 (anti-PD-1) therapy.

2018 ◽  
Vol 36 (5_suppl) ◽  
pp. 152-152
Author(s):  
Abdul Rafeh Naqash ◽  
Chipman Robert Geoffrey Stroud ◽  
Mahvish Muzaffar ◽  
Li V. Yang ◽  
Paul R. Walker
Keyword(s):  
Cox Regression ◽  
Stage Iv ◽  
Prognostic Nutritional Index ◽  
Absolute Lymphocyte Count ◽  
Preliminary Evidence ◽  
Immune Checkpoint Blockade ◽  
Inflammatory Biomarker ◽  
Skeletal Involvement ◽  
Neutrophil Lymphocyte Ratio ◽  
Cox Analysis

152 Background: Immune checkpoint blockade (ICB) has shown promise in NSCLC with improved survival and durability in disease control. Despite these advances, the response to ICB remains variable. Thus identifying easily available biomarkers that can assist in the optimal selection of patients for ICB holds paramount importance. Methods: Retrospectively we identified 87 stage III/IV NSCLC patients initiated on anti-PD-1 therapy from April 2015 to March 2017 after progressing on a platinum doublet. These patients were part of an ongoing prospective biomarker-based study at our institution. Follow up cutoff for survival analysis was set at October 1, 2017. Enrolled participants had inflammatory markers (C-reactive protein, absolute neutrophil count, absolute lymphocyte count, serum albumin) measured on the day of first dose of anti-PD-1 administration as well as subsequent doses. Using multivariate Cox analysis, factors demonstrating an association with overall survival after immunotherapy (OSI) were used to develop a composite score to stratify patient survival. Results: The median age was 64 years with predominant histology being adenocarcinoma in 46.0 % followed by squamous cell carcinoma (43.7 %). Stage IV disease was present in 70.1%, with skeletal involvement (54.1 %) and liver (27.9 %) being the most common metastatic sites. In the multivariate Cox regression with backward elimination, factors independently associated with OSI were noted to be: CRP, neutrophil-lymphocyte ratio, and prognostic nutritional index. A composite inflammatory biomarker score was developed using the B-coefficients from the Cox multivariate regression. A score > 1 demonstrated inferior OSI compared to a score of ≤ 1 [1.7 vs. 9.3 months; P < 0.001, HR 4.00, 95% CI (2.21-7.25)]. Conclusions: This study provides preliminary evidence in favor of a composite inflammation based score that can aid in survival stratification of these patients. Validation of this score in prospective NSCLC trials to elucidate its potential utility as a predictive or prognostic tool in facilitating optimal patient selection for ICB is required.

scholarly journals Diagnostic value of preoperative inflammatory markers in patients with glioma: a multicenter cohort study

2018 ◽  
Vol 129 (3) ◽  
pp. 583-592 ◽  
Author(s):  
Shi-hao Zheng ◽  
Jin-lan Huang ◽  
Ming Chen ◽  
Bing-long Wang ◽  
Qi-shui Ou ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Acoustic Neuroma ◽  
Roc Curve ◽  
Inflammatory Markers ◽  
Tumor Grade ◽  
Nonparametric Tests ◽  
Low Grade ◽  
Healthy Controls ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio

OBJECTIVEGlioma is the most common form of brain tumor and has high lethality. The authors of this study aimed to elucidate the efficiency of preoperative inflammatory markers, including neutrophil/lymphocyte ratio (NLR), derived NLR (dNLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), and prognostic nutritional index (PNI), and their paired combinations as tools for the preoperative diagnosis of glioma, with particular interest in its most aggressive form, glioblastoma (GBM).METHODSThe medical records of patients newly diagnosed with glioma, acoustic neuroma, meningioma, or nonlesional epilepsy at 3 hospitals between January 2011 and February 2016 were collected and retrospectively analyzed. The values of NLR, dNLR, PLR, LMR, and PNI were compared among patients suffering from glioma, acoustic neuroma, meningioma, and nonlesional epilepsy and healthy controls by using nonparametric tests. Correlations between NLR, dNLR, PLR, LMR, PNI, and tumor grade were analyzed. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic significance of NLR, dNLR, PLR, LMR, PNI, and their paired combinations for glioma, particularly GBM.RESULTSA total of 750 patients with glioma (Grade I, 81 patients; Grade II, 208 patients; Grade III, 169 patients; Grade IV [GBM], 292 patients), 44 with acoustic neuroma, 271 with meningioma, 102 with nonlesional epilepsy, and 682 healthy controls were included in this study. Compared with healthy controls and patients with acoustic neuroma, meningioma, or nonlesional epilepsy, the patients with glioma had higher values of preoperative NLR and dNLR as well as lower values of LMR and PNI, whereas PLR was higher in glioma patients than in healthy controls and patients with nonlesional epilepsy. Subgroup analysis revealed a positive correlation between NLR, dNLR, PLR, and tumor grade but a negative correlation between LMR, PNI, and tumor grade in glioma. For glioma diagnosis, the area under the curve (AUC) obtained from the ROC curve was 0.722 (0.697–0.747) for NLR, 0.696 (0.670–0.722) for dNLR, 0.576 (0.549–0.604) for PLR, 0.760 (0.738–0.783) for LMR, and 0.672 (0.646–0.698) for PNI. The best diagnostic performance was obtained with the combination of NLR+LMR and dNLR+LMR, with AUCs of 0.777 and 0.778, respectively. Additionally, NLR (AUC 0.860, 95% CI 0.832–0.887), dNLR (0.840, 0.810–0.869), PLR (0.678, 0.641–0.715), LMR (0.837, 0.811–0.863), and PNI (0.740, 0.706–0.773) had significant predictive value for GBM compared with healthy controls and other disease groups. As compared with the Grade I–III glioma patients, the GBM patients had an AUC of 0.811 (95% CI 0.778–0.844) for NLR, 0.797 (0.763–0.832) for dNLR, 0.662 (0.622–0.702) for PLR, 0.743 (0.707–0.779) for LMR, and 0.661(0.622–0.701) for PNI. For the paired combinations, NLR+LMR demonstrated the highest accuracy.CONCLUSIONSThe NLR+LMR combination was revealed as a noninvasive biomarker with relatively high sensitivity and specificity for glioma diagnosis, the differential diagnosis of glioma from acoustic neuroma and meningioma, GBM diagnosis, and the differential diagnosis of GBM from low-grade glioma.

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