scholarly journals New Radiological Classification of Glioma and validation with the survival analysis

2020 ◽  
Author(s):  
Akshaykumar Nana Kamble ◽  
Nidhi K Agrawal ◽  
Surabhi Koundal ◽  
Salil Bhargava ◽  
Abhaykumar Nana Kamble
Keyword(s):  
Survival Analysis ◽  
Genetic Markers ◽  
Classification System ◽  
Cox Regression ◽  
Unmet Need ◽  
High Grade ◽  
Testing Dataset ◽  
Radiological Classification ◽  
High Grade Gliomas

AbstractRadiology based classification of glioma independent of histological or genetic markers predicting survival of patients is an unmet need. Until now radiology is chasing these markers rather than focussing directly on the clinical outcome. Our study is first of its kind to come up with the independent new radiological classification of gliomas encompassing both low-and high-grade gliomas under single classification system.TCGA-LGG and REMBRANDT public domain dataset of glioma were analyzed as training and testing dataset respectively. Based on MRI images, gliomas were classified into six types in detailed classification & three types in simplified classification system. Survival analysis using Kaplan Meier and Cox regression was done. Secondary objective was to evaluate the sensitivity and specificity of novel signs with existing histological and genetic markers.The study predicted survival in both training and testing dataset independent of genetic or histological information. Novel signs, “Ball on Christmas tree” sign(highly specific), Type-4 lineage sign(highly sensitive) identifies IDH-wild and high-grade gliomas (grade-III and IV) while Type-2 lineage sign showed good specificity in identifying 1p19q non co-deleted IDH-mutated, ATRX del/mutated, Grade-II gliomas. There is a substantial interobserver agreement for the classification and novel signs. New radiological classification of glioma predicts the survival of patients independent of genetic or histological information. This can act as a scaffolding to formulate and streamline the treatment guidelines for glioma patients. This classification has potential of improving the quality of care of glioma patients by predicting the survival without the need of invasive biopsy.

scholarly journals Survival Analysis of Patients with High-Grade Gliomas Based on Data Mining of Imaging Variables

2012 ◽  
Vol 33 (6) ◽  
pp. 1065-1071 ◽  
Author(s):  
E.I. Zacharaki ◽  
N. Morita ◽  
P. Bhatt ◽  
D.M. O'Rourke ◽  
E.R. Melhem ◽  
...  
Keyword(s):  
Data Mining ◽  
Survival Analysis ◽  
High Grade ◽  
High Grade Gliomas

scholarly journals Antibiotic Allergy and Blood Eosinophils Percent Could Be Prognostic Indicators of Glioma

2021 ◽  
Author(s):  
Liming Cao ◽  
Zhanghua Lv ◽  
Weiliang Wang ◽  
Xue Li ◽  
Jing Shi ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Tumor Grade ◽  
Blood Eosinophil ◽  
Low Grade ◽  
High Grade ◽  
Cox Regression Analysis ◽  
Low Grade Gliomas ◽  
Antibiotic Allergy ◽  
High Grade Gliomas

Abstract Background: Antibiotic allergy and blood eosinophil percentage (EOS%) may play an important role in the prognosis of gliomas, but few studies reported the relationship between antibiotic allergy and glioma as well as EOS% and glioma. The aim of our study was to estimate the relationships between antibiotic allergy, blood eosinophil percentage (EOS%) and glioma prognosis and to conduct a nomogram model for glioma patients. Estimating the effect of antibiotic allergy and EOS% on glioma prognosis may conduce to finding low-cost and safe prognostic indicators of glioma.Methods: We conducted a retrospective cohort study with 656 glioma patients to estimate the associations between antibiotic allergy, EOS% and glioma prognosis by Kaplan-Meier and Cox regression analysis. Stratified analyses were performed according to tumor grade. We constructed a nomogram with age at diagnosis, gender, tumor grade, antibiotic allergy, EOS% to predict the survival probabilities of glioma. Results: During 12 months follow-up, a total of 227 patients were alive and 318 patients died. Antibiotic allergy and EOS% >1.65 conferred a survival advantage on glioma patients. In the stratified analysis by tumor grade, antibiotic allergy was significantly associated with the prognosis of the prognosis of low-grade gliomas (HR = 0.36, 95%CI: 0.13-0.97) and high-grade gliomas (HR = 0.58, 95%CI: 0.36-0.93) in the univariate Cox regression analysis. However, after adjusting for confounding factors in the multivariate Cox regression analysis, antibiotic allergy was only significantly associated with high-grade gliomas (HRadj = 0.50, 95%CI: 0.30-0.82); the relationship between EOS% and glioma prognosis was restricted to low-grade gliomas (HRadj = 0.50, 95%CI: 0.30-0.82). The C-index of nomogram was 0.74.Conclusions: Antibiotic allergy was a protective prognosis factor of high-grade gliomas, EOS% >1.65 was a protective prognosis factor of low-grade gliomas. The nomogram with antibiotic allergy and EOS% could effectively predict the survival probability of glioma.

scholarly journals Classification of Low-Grade and High-Grade Glioma from MR Brain Images Using Multiple-Instance Learning with Combined Feature Set

2021 ◽  
pp. 1-24
Author(s):  
C. C. Benson ◽  
V. L. Lajish ◽  
Kumar Rajamani
Keyword(s):  
Image Classification ◽  
Classification System ◽  
Multiple Instance Learning ◽  
Low Grade ◽  
High Grade ◽  
Brain Images ◽  
Mr Brain Images ◽  
Combined Feature ◽  
Mr Brain

Fully automatic brain image classification of MR brain images is of great importance for research and clinical studies, since the precise detection may lead to a better treatment. In this work, an efficient method based on Multiple-Instance Learning (MIL) is proposed for the automatic classification of low-grade and high-grade MR brain tumor images. The main advantage of MIL-based approach over other classification methods is that MIL considers an image as a group of instances rather than a single instance, thus facilitating an effective learning process. The mi-Graph-based MIL approach is proposed for this classification. Two different implementations of MIL-based classification, viz. Patch-based MIL (PBMIL) and Superpixel-based MIL (SPBMIL), are made in this study. The combined feature set of LBP, SIFT and FD is used for the classification. The accuracies of low-grade–high-grade tumor image classification algorithm using SPBMIL method performed on [Formula: see text], [Formula: see text] and FLAIR images read 99.2765%, 99.4195% and 99.2265%, respectively. The error rate of the proposed classification system was noted to be insignificant and hence this automated classification system could be used for the classification of images with different pathological conditions, types and disease statuses.

scholarly journals Prognostic Factors in Elderly Patients with High-grade Gliomas: A Retrospective Analysis of 24 Cases

2018 ◽  
Vol 09 (03) ◽  
pp. 312-316 ◽  
Author(s):  
Meenu Gupta ◽  
Saurabh Bansal ◽  
Deep Shankar Pruthi ◽  
Manju Saini ◽  
Nadia Shirazi ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Elderly Patients ◽  
Retrospective Analysis ◽  
Cox Regression ◽  
Rank Test ◽  
Karnofsky Performance Scale ◽  
High Grade ◽  
Concomitant Chemotherapy ◽  
Cox Regression Analysis ◽  
High Grade Gliomas

ABSTRACT Background and Objectives: Due to the aging of the population, diagnosis of high-grade gliomas (HGGs) in the elderly is becoming more common. The purpose of this study was to report our experience in 24 elderly patients with HGGs and evaluate the value of different prognostic factors. Design and Setting: Retrospective analysis of 24 elderly patients of ≥60 years with newly diagnosed HGGs, who were treated at our department between January 2009 and December 2012, was done. Patients and Methods: Age, gender, Karnofsky performance scale (KPS) score, extent of surgery, and use of temozolomide were evaluated using univariate and multivariate analyses. Survival was determined using the Kaplan–Meier method, and differences were compared using the log-rank test. Cox regression analysis was conducted to identify the independent prognostic factors. Results: The median overall survival of the patient cohort was 10 months. The 1- and 2-year survival rates were 45.8% and 16.6%, respectively. The analysis revealed that KPS score and use of concomitant chemotherapy were significant prognostic factors. Conclusion: The results of our analyses demonstrate that KPS score and use of concomitant chemotherapy yield encouraging outcomes in elderly patients with HGGs, validating the results published in research papers.

Validation of single item Linear Analogue Scale Assessments (LASAs) for assessing quality of life (QOL) in patients with newly diagnosed high-grade gliomas

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 8583-8583 ◽  
Author(s):  
P. A. Decker ◽  
K. V. Ballman ◽  
D. E. Locke ◽  
P. D. Brown ◽  
K. A. Jaeckle ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Repeated Measures ◽  
Cox Regression ◽  
High Grade ◽  
Newly Diagnosed ◽  
Phase Ii Trials ◽  
Single Item ◽  
High Grade Gliomas ◽  
Distress Scale ◽  
Over Time

8583 Background: Patient QOL assessment requires balancing the detail provided by multi-item assessments with the reduced burden of single-item assessments. We investigated the psychometric properties of single-item LASA assessments used in 3 North Central Cancer Treatment Group (NCCTG) phase II trials for patients with newly diagnosed high-grade gliomas. Methods: Measures included QOL LASAs (overall, physical, emotional, spiritual, intellectual), Symptom Distress Scale (SDS), Profile of Mood States (POMS), and Functional Assessment for Cancer Therapy (FACT; overall, physical, emotional). Association of LASA measures with SDS, POMS, and FACT domains and with ECOG performance score (PS) and MMSE was assessed with Spearman’s correlation. Repeated measures ANOVA models compared the change over time of LASAs and SDS, POMS, and FACT. Cox regression modeled the association of baseline QOL and survival. Results: 205 patients completed the QOL assessments across 3 time points. LASA mean scores ranged from 60–78; SDS, POMS, and FACT ranged from 68–81. No significant changes across time for overall and emotional scores were observed. FACT physical decreased over time (p<0.001) as did LASA physical (p=0.08). LASA scales were strongly associated with corresponding scales on SDS, POMS, and FACT (0.44<rho<0.65; p<0.001). LASA was negatively associated with PS and positively with MMSE. Baseline scores for overall FACT (p=0.005) and LASA physical (p=0.015) were associated with better survival. Conclusions: The single-item LASA assessments have comparable psychometric properties as longer assessments for the same constructs. Correlations with PS and MMSE were as expected (convergent/concurrent validity). The discriminant validity and prognostic ability of LASA items were similar to the multi-item instruments. Collectively, the data suggest that the single item LASA scales are valid for assessing QOL in patients with newly diagnosed high grade gliomas and are an appropriate alternative when a shorter instrument is warranted. No significant financial relationships to disclose.

DNA hydroxymethylation in high-grade gliomas

2021 ◽  
Author(s):  
Angelika Stapińska-Syniec ◽  
Marta Grabiec ◽  
Marcin Rylski ◽  
Albert Acewicz ◽  
Michał Sobstyl
Keyword(s):  
Regulation Of Gene Expression ◽  
Epigenetic Mechanism ◽  
High Grade ◽  
Who Grade ◽  
Dna Hydroxymethylation ◽  
Current State ◽  
Survival Estimation ◽  
High Grade Gliomas ◽  
Tet Enzymes

Background and Study Aims Since the new WHO classification of nervous system tumors (2016 revised 4th edition) has been released, gliomas are classified depending on molecular and genetic markers in connection with histopathology, instead of histopathology itself as it was in the previous classification. Over the last years, epigenetic analysis has taken on increased importance in the diagnosis and treatment of different cancers. Multiple studies confirmed that DNA methylation and hydroxymethylation play an important role in the regulation of gene expression during carcinogenesis. In this review, we aim to present the current state of knowledge on DNA hydroxymethylation in human high-grade gliomas (WHO grade III and IV). Results The correlation of DNA hydroxymethylation and survival in glioblastoma patients was evaluated by different studies. The majority of them showed that the expression of 5-hydroxymethylcytosine (5-hmC) and Ten-eleven translocation (TET) enzymes were significantly reduced, sometimes almost undetectable in high-grade gliomas in comparison with the control brain. A decreased level of 5-hmC was associated with poor survival in patients, but high expression of the TET3 enzyme was related to a better prognosis for GBM patients. This points to the relevance of DNA hydroxymethylation in molecular diagnostics of human gliomas, including survival estimation or differentiating patients in terms of response to the treatment. Conclusion Future studies may shed some more light on this epigenetic mechanism involved in the pathogenesis of human high-grade gliomas and help to develop new targeted therapies.

Genetic Markers in Adult High-Grade Gliomas

2014 ◽  
Vol 24 (4) ◽  
pp. 235-239
Author(s):  
Melike Pekmezci ◽  
Arie Perry
Keyword(s):  
Genetic Markers ◽  
High Grade ◽  
High Grade Gliomas

scholarly journals TAMI-54. THE PRESENCE OF IMMUNE CELL INFILTRATES IN THE TISSUE MICROENVIRONMENT OF HIGH-GRADE GLIOMAS AND THEIR ASSOCIATION WITH OVERALL SURVIVAL

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii225-ii225
Author(s):  
Anupam Rishi ◽  
Homan Mohammadi ◽  
Daniela Martir ◽  
Eric Welsh ◽  
Timothy Robinson ◽  
...  
Keyword(s):  
Gene Expression ◽  
Overall Survival ◽  
Surgical Resection ◽  
Immune Cell ◽  
Cox Regression ◽  
Tumor Biology ◽  
Rank Test ◽  
High Grade ◽  
High Grade Gliomas ◽  
Grade 3

Abstract OBJECTIVE Tumor-associated microglia and macrophages (TAMs) influence brain tumor biology and promote tumor-proliferating phenotype. Studies have shown these cell types predict outcomes in various tumor sites with limited evidence in high-grade gliomas (HGG). In this study, we assessed the presence of immune cell infiltrate (ICI) and overall survival (OS) in HGGs. METHODS A total of 97 consecutively treated patients with primary HGG with complete gene expression profiling were identified from our IRB-approved institutional tissue biorepository. Patients underwent primary surgical resection between 02/2004 and 03/2011. Gene expression levels were assessed by Affymetrix Hu-RSTA assays (Affymetrix; Santa Clara, CA). CIBERSORT estimated the presence of ICI via gene expression deconvolution. Tumor characteristics and the presence of 22 individual ICI subtypes were assessed with respect to OS. Time-to-event analyses were performed with Kaplan-Meier estimates and compared via log-rank test. Associations between the ICI and outcomes were explored using Cox-regression. P&lt; 0.05 (two-tailed) was considered statistically significant. RESULTS Median follow-up from primary surgical resection was 12.8 months (range: 0.1-162.8), and median age was 58 years (20-85). Most patients were male (n=63; 65%) and had grade 4 tumors (n=71; 73%). OS differed by grade with 24-month actuarial OS rates of 81% and 34% (P&lt; 0.0001) for grade 3 and 4 gliomas, respectively. The presence of M0 (HR 2.2; 95% CI 1.4-3.6; P=0.001), M1 (HR 1.8; 95%CI 1.1-2.9; P=0.01), and M2 macrophages (HR 1.9; 95%CI 1.2-3.2; P=0.007) predicted OS. No other ICI subtypes were predictive of OS. The presence of M0- and M2-polarized macrophages were more common in grade 4 compared to grade 3 gliomas 46% vs. 11% (P=0.002) and 69% vs. 31% (P=0.0007), respectively. CONCLUSION The increased presence of non-polarized or M2 TAMs within the glioma microenvironment was significantly associated with OS in HGG. Their presence may serve as unique stratification and a potential therapeutic target.

Sign in / Sign up

Export Citation Format

Share Document