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Predicting Survival in Glioblastoma Patients Using Diffusion MR Imaging Metrics—A Systematic Review

SIMPLE SUMMARY: An accurate survival analysis is crucial for disease management in glioblastoma (GBM) patients. Due to the ability of the diffusion MRI techniques of providing a quantitative assessment of GBM tumours, an ever-growing number of studies aimed at investigating the role of diffusion MRI...

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Autores principales: Brancato, Valentina, Nuzzo, Silvia, Tramontano, Liberatore, Condorelli, Gerolama, Salvatore, Marco, Cavaliere, Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600641/
https://www.ncbi.nlm.nih.gov/pubmed/33020420
http://dx.doi.org/10.3390/cancers12102858
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author Brancato, Valentina
Nuzzo, Silvia
Tramontano, Liberatore
Condorelli, Gerolama
Salvatore, Marco
Cavaliere, Carlo
author_facet Brancato, Valentina
Nuzzo, Silvia
Tramontano, Liberatore
Condorelli, Gerolama
Salvatore, Marco
Cavaliere, Carlo
author_sort Brancato, Valentina
collection PubMed
description SIMPLE SUMMARY: An accurate survival analysis is crucial for disease management in glioblastoma (GBM) patients. Due to the ability of the diffusion MRI techniques of providing a quantitative assessment of GBM tumours, an ever-growing number of studies aimed at investigating the role of diffusion MRI metrics in survival prediction of GBM patients. Since the role of diffusion MRI in prediction and evaluation of survival outcomes has not been fully addressed and results are often controversial or unsatisfactory, we performed this systematic review in order to collect, summarize and evaluate all studies evaluating the role of diffusion MRI metrics in predicting survival in GBM patients. We found that quantitative diffusion MRI metrics provide useful information for predicting survival outcomes in GBM patients, mainly in combination with other clinical and multimodality imaging parameters. ABSTRACT: Despite advances in surgical and medical treatment of glioblastoma (GBM), the medium survival is about 15 months and varies significantly, with occasional longer survivors and individuals whose tumours show a significant response to therapy with respect to others. Diffusion MRI can provide a quantitative assessment of the intratumoral heterogeneity of GBM infiltration, which is of clinical significance for targeted surgery and therapy, and aimed at improving GBM patient survival. So, the aim of this systematic review is to assess the role of diffusion MRI metrics in predicting survival of patients with GBM. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, a systematic literature search was performed to identify original articles since 2010 that evaluated the association of diffusion MRI metrics with overall survival (OS) and progression-free survival (PFS). The quality of the included studies was evaluated using the QUIPS tool. A total of 52 articles were selected. The most examined metrics were associated with the standard Diffusion Weighted Imaging (DWI) (34 studies) and Diffusion Tensor Imaging (DTI) models (17 studies). Our findings showed that quantitative diffusion MRI metrics provide useful information for predicting survival outcomes in GBM patients, mainly in combination with other clinical and multimodality imaging parameters.
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spelling pubmed-76006412020-11-01 Predicting Survival in Glioblastoma Patients Using Diffusion MR Imaging Metrics—A Systematic Review Brancato, Valentina Nuzzo, Silvia Tramontano, Liberatore Condorelli, Gerolama Salvatore, Marco Cavaliere, Carlo Cancers (Basel) Review SIMPLE SUMMARY: An accurate survival analysis is crucial for disease management in glioblastoma (GBM) patients. Due to the ability of the diffusion MRI techniques of providing a quantitative assessment of GBM tumours, an ever-growing number of studies aimed at investigating the role of diffusion MRI metrics in survival prediction of GBM patients. Since the role of diffusion MRI in prediction and evaluation of survival outcomes has not been fully addressed and results are often controversial or unsatisfactory, we performed this systematic review in order to collect, summarize and evaluate all studies evaluating the role of diffusion MRI metrics in predicting survival in GBM patients. We found that quantitative diffusion MRI metrics provide useful information for predicting survival outcomes in GBM patients, mainly in combination with other clinical and multimodality imaging parameters. ABSTRACT: Despite advances in surgical and medical treatment of glioblastoma (GBM), the medium survival is about 15 months and varies significantly, with occasional longer survivors and individuals whose tumours show a significant response to therapy with respect to others. Diffusion MRI can provide a quantitative assessment of the intratumoral heterogeneity of GBM infiltration, which is of clinical significance for targeted surgery and therapy, and aimed at improving GBM patient survival. So, the aim of this systematic review is to assess the role of diffusion MRI metrics in predicting survival of patients with GBM. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, a systematic literature search was performed to identify original articles since 2010 that evaluated the association of diffusion MRI metrics with overall survival (OS) and progression-free survival (PFS). The quality of the included studies was evaluated using the QUIPS tool. A total of 52 articles were selected. The most examined metrics were associated with the standard Diffusion Weighted Imaging (DWI) (34 studies) and Diffusion Tensor Imaging (DTI) models (17 studies). Our findings showed that quantitative diffusion MRI metrics provide useful information for predicting survival outcomes in GBM patients, mainly in combination with other clinical and multimodality imaging parameters. MDPI 2020-10-04 /pmc/articles/PMC7600641/ /pubmed/33020420 http://dx.doi.org/10.3390/cancers12102858 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Brancato, Valentina
Nuzzo, Silvia
Tramontano, Liberatore
Condorelli, Gerolama
Salvatore, Marco
Cavaliere, Carlo
Predicting Survival in Glioblastoma Patients Using Diffusion MR Imaging Metrics—A Systematic Review
title Predicting Survival in Glioblastoma Patients Using Diffusion MR Imaging Metrics—A Systematic Review
title_full Predicting Survival in Glioblastoma Patients Using Diffusion MR Imaging Metrics—A Systematic Review
title_fullStr Predicting Survival in Glioblastoma Patients Using Diffusion MR Imaging Metrics—A Systematic Review
title_full_unstemmed Predicting Survival in Glioblastoma Patients Using Diffusion MR Imaging Metrics—A Systematic Review
title_short Predicting Survival in Glioblastoma Patients Using Diffusion MR Imaging Metrics—A Systematic Review
title_sort predicting survival in glioblastoma patients using diffusion mr imaging metrics—a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600641/
https://www.ncbi.nlm.nih.gov/pubmed/33020420
http://dx.doi.org/10.3390/cancers12102858
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