Prediction of Survival Outcomes in Patients with Glioma Using Magnetic Resonance Imaging (MRI): A Systematic Review and Meta-Analysis

Background: Glioma is the most common malignancy in the central nervous system. Even with optimal therapies, glioblastoma (the most aggressive form of glioma) is incurable, with only 26.5% of patients having a 2-year survival rate. The present meta-analysis evaluated the associati...

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Main Authors: Mingfang Hu, Jinge Li, Zhangyu Li, Jian Shen
Format: Article
Language:English
Published: IMR Press 2025-01-01
Series:Journal of Integrative Neuroscience
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Online Access:https://www.imrpress.com/journal/JIN/24/1/10.31083/JIN23389
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author Mingfang Hu
Jinge Li
Zhangyu Li
Jian Shen
author_facet Mingfang Hu
Jinge Li
Zhangyu Li
Jian Shen
author_sort Mingfang Hu
collection DOAJ
description Background: Glioma is the most common malignancy in the central nervous system. Even with optimal therapies, glioblastoma (the most aggressive form of glioma) is incurable, with only 26.5% of patients having a 2-year survival rate. The present meta-analysis evaluated the association of magnetic resonance imaging (MRI)-derived parameters in glioma patients with progression-free survival (PFS) and overall survival. Eligible clinical articles on glioma patients included those that contained an evaluation of the association between MRI findings, PFS, and overall length of survival. Methods: Review of the literature included the following databases: WHO International Clinical Trials Registry Platform; Google Scholar; Web of Science; PubMed; SIGLE; NYAM; Scopus; Randomized controlled trial (RCT); Virtual Health Library (VHL); Cochrane Collaboration; EMBASE; and Clinical Trials. Results: The current review included 20 studies, and covered 2097 patients with gliomas. There were 1310 patients with glioblastoma and 320 with astrocytoma. There were 161 patients with grade-2 gliomas and 111 patients with grade-3. Tumour necrosis, peritumoural oedema, and multiple lesions were associated with PFS, as well as tumour necrosis and peritumoural oedema with overall survival. Conclusions: The present meta-analysis highlighted the ability of MRI to predict PFS and overall survival in patients with gliomas. This is crucial to identify patients at risk for poor survival outcomes and for individualising the treatment plan for such patients. The PROSPERO Registration: CRD42023489535, https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=489535.
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spelling doaj-art-1732458952de4702b4640d43771279cb2025-01-25T07:38:07ZengIMR PressJournal of Integrative Neuroscience0219-63521757-448X2025-01-012412338910.31083/JIN23389S0219-6352(24)00796-4Prediction of Survival Outcomes in Patients with Glioma Using Magnetic Resonance Imaging (MRI): A Systematic Review and Meta-AnalysisMingfang Hu0Jinge Li1Zhangyu Li2Jian Shen3Department of Radiology, Huzhou Central Hospital, The Affiliated Central Hospital of Huzhou University, 313000 Huzhou, Zhejiang, ChinaDepartment of Radiology, Medical School of Huzhou University, 313000 Huzhou, Zhejiang, ChinaDepartment of Radiology, Huzhou Central Hospital, The Affiliated Central Hospital of Huzhou University, 313000 Huzhou, Zhejiang, ChinaDepartment of Radiology, Huzhou Central Hospital, The Affiliated Central Hospital of Huzhou University, 313000 Huzhou, Zhejiang, ChinaBackground: Glioma is the most common malignancy in the central nervous system. Even with optimal therapies, glioblastoma (the most aggressive form of glioma) is incurable, with only 26.5% of patients having a 2-year survival rate. The present meta-analysis evaluated the association of magnetic resonance imaging (MRI)-derived parameters in glioma patients with progression-free survival (PFS) and overall survival. Eligible clinical articles on glioma patients included those that contained an evaluation of the association between MRI findings, PFS, and overall length of survival. Methods: Review of the literature included the following databases: WHO International Clinical Trials Registry Platform; Google Scholar; Web of Science; PubMed; SIGLE; NYAM; Scopus; Randomized controlled trial (RCT); Virtual Health Library (VHL); Cochrane Collaboration; EMBASE; and Clinical Trials. Results: The current review included 20 studies, and covered 2097 patients with gliomas. There were 1310 patients with glioblastoma and 320 with astrocytoma. There were 161 patients with grade-2 gliomas and 111 patients with grade-3. Tumour necrosis, peritumoural oedema, and multiple lesions were associated with PFS, as well as tumour necrosis and peritumoural oedema with overall survival. Conclusions: The present meta-analysis highlighted the ability of MRI to predict PFS and overall survival in patients with gliomas. This is crucial to identify patients at risk for poor survival outcomes and for individualising the treatment plan for such patients. The PROSPERO Registration: CRD42023489535, https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=489535.https://www.imrpress.com/journal/JIN/24/1/10.31083/JIN23389glioblastomagliomamrisurvival
spellingShingle Mingfang Hu
Jinge Li
Zhangyu Li
Jian Shen
Prediction of Survival Outcomes in Patients with Glioma Using Magnetic Resonance Imaging (MRI): A Systematic Review and Meta-Analysis
Journal of Integrative Neuroscience
glioblastoma
glioma
mri
survival
title Prediction of Survival Outcomes in Patients with Glioma Using Magnetic Resonance Imaging (MRI): A Systematic Review and Meta-Analysis
title_full Prediction of Survival Outcomes in Patients with Glioma Using Magnetic Resonance Imaging (MRI): A Systematic Review and Meta-Analysis
title_fullStr Prediction of Survival Outcomes in Patients with Glioma Using Magnetic Resonance Imaging (MRI): A Systematic Review and Meta-Analysis
title_full_unstemmed Prediction of Survival Outcomes in Patients with Glioma Using Magnetic Resonance Imaging (MRI): A Systematic Review and Meta-Analysis
title_short Prediction of Survival Outcomes in Patients with Glioma Using Magnetic Resonance Imaging (MRI): A Systematic Review and Meta-Analysis
title_sort prediction of survival outcomes in patients with glioma using magnetic resonance imaging mri a systematic review and meta analysis
topic glioblastoma
glioma
mri
survival
url https://www.imrpress.com/journal/JIN/24/1/10.31083/JIN23389
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AT zhangyuli predictionofsurvivaloutcomesinpatientswithgliomausingmagneticresonanceimagingmriasystematicreviewandmetaanalysis
AT jianshen predictionofsurvivaloutcomesinpatientswithgliomausingmagneticresonanceimagingmriasystematicreviewandmetaanalysis