Literature DB >> 20401838

Efficacy of clinical prognostic factors on survival in patients with glioblastoma.

Bekir Tugcu1, Lutfi Sinasi Postalci, Omur Gunaldi, Osman Tanriverdi, Hidayet Akdemir.   

Abstract

AIM: Glioblastoma is the most common and highest-grade infiltrative astrocytoma. It is usually associated with a bad prognosis. Histological grading is highly predictive of an aggressive behavior, with a mean survival rate of 1 year. Nonetheless, individual patient survival can vary substantially, ranging from 1 month to over 5 years. Several distinct clinical parameters and molecular alterations have recently been described in glioblastoma. The present study compares clinical, radiologic and therapeutic parameters in a series of glioblastomas to identify prognostic factors.
MATERIAL AND METHODS: We evaluated 50 cases who were operated on for intracranial glioblastoma between January 1998-March 2004 retrospectively. All clinical records, radiological records and management modalities were evaluated as prognostic value.
RESULTS: The mean survival time was 7.5 months (range, 1-18 months). We confirmed the patients' age, gender, Karnofsky Performance Scale score at discharge, postoperative radiotherapy and reoperation as decisive prognostic factors after multivariate analyses.
CONCLUSION: We could show that some clinical parameters and treatment modalities were associated with prognosis. Younger age, male gender, higher Karnofsky Performance Score at discharge, total surgical resection, radiotherapy and reoperation were predictor for better prognosis.

Entities:  

Mesh:

Year:  2010        PMID: 20401838     DOI: 10.5137/1019-5149.JTN.2461-09.4

Source DB:  PubMed          Journal:  Turk Neurosurg        ISSN: 1019-5149            Impact factor:   1.003


  6 in total

1.  Choline-to-N-acetyl aspartate and lipids-lactate-to-creatine ratios together with age assemble a significant Cox's proportional-hazards regression model for prediction of survival in high-grade gliomas.

Authors:  Ernesto Roldan-Valadez; Camilo Rios; Daniel Motola-Kuba; Juan Matus-Santos; Antonio R Villa; Sergio Moreno-Jimenez
Journal:  Br J Radiol       Date:  2016-09-14       Impact factor: 3.039

2.  Partial correlation analyses of global diffusion tensor imaging-derived metrics in glioblastoma multiforme: Pilot study.

Authors:  David Cortez-Conradis; Camilo Rios; Sergio Moreno-Jimenez; Ernesto Roldan-Valadez
Journal:  World J Radiol       Date:  2015-11-28

3.  Relationship between MGMT gene expression and treatment effectiveness and prognosis in glioma.

Authors:  Qiang Li; Jiang Guo; Weisheng Wang; Dingkun Wang
Journal:  Oncol Lett       Date:  2017-05-05       Impact factor: 2.967

4.  A Radiomics Model for Predicting Early Recurrence in Grade II Gliomas Based on Preoperative Multiparametric Magnetic Resonance Imaging.

Authors:  Zhen-Hua Wang; Xin-Lan Xiao; Zhao-Tao Zhang; Keng He; Feng Hu
Journal:  Front Oncol       Date:  2021-09-02       Impact factor: 6.244

5.  Treatment Patterns and Outcomes Among Elderly Glioblastoma Patients in Riyadh, Saudi Arabia.

Authors:  Amal Marie; Ahmed Maklad; Abdullah AlTwairgi; Moemen Aly; Ashraf Elyamany; Wafaa AlShaqweer; Mohamed Senosy; Ali Balbaid
Journal:  Onco Targets Ther       Date:  2022-02-02       Impact factor: 4.147

6.  Synthetic MRI improves radiomics-based glioblastoma survival prediction.

Authors:  Elisa Moya-Sáez; Rafael Navarro-González; Santiago Cepeda; Ángel Pérez-Núñez; Rodrigo de Luis-García; Santiago Aja-Fernández; Carlos Alberola-López
Journal:  NMR Biomed       Date:  2022-05-21       Impact factor: 4.478

  6 in total

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