Predicting survival inss glioblastoma patients using diffusion mr imaging metrics—a systematic review

Valentina Brancato, Silvia Nuzzo, Liberatore Tramontano, Gerolama Condorelli, Marco Salvatore, Carlo Cavaliere

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish
Article number2858
Pages (from-to)1-36
Number of pages36
JournalCancers
Volume12
Issue number10
DOIs
Publication statusPublished - Oct 2020

Keywords

  • Diffusion MRI
  • DTI
  • DWI
  • Glioblastoma
  • Overall survival
  • Progression free survival

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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