Limited research investigating the value of MRI in predicting future cognitive morbidity in survivors of paediatric brain tumours: A systematic-review and call to action for clinical neuroimaging researchers

Daniel J. Griffiths-King, Christopher Delivett, Andrew Peet, Jane Waite, Jan Novak*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Survivors of pediatric brain tumours are at a high risk of cognitive morbidity. Reliable individual-level predictions regarding the likelihood, degree, and affected domains of cognitive impairment would be clinically beneficial. While established risk factors exist, quantitative MRI analysis may enhance predictive value, above and beyond current clinical risk models. This systematic review addresses the question: “Do MRI markers predict future cognitive functioning in pediatric brain tumour survivors?” We conducted a comprehensive search for studies published up to March 2024 that assessed MRI variables as predictors of later neuropsychological outcomes in pediatric brain tumour patients. Only studies that acquired MRI scans at an earlier timepoint to predict subsequent cognitive test performance were included. Surprisingly, few studies met these criteria, with identified research focusing primarily on MRI measures of cerebellar and white matter damage as features in predicting cognitive outcomes. Ultimately, this review reveals a limited literature, characterized by small sample sizes and poor-quality studies, placing findings at high risk of bias. Consequently, the quality and conclusions drawn from the existing research are constrained, especially in the context of prediction studies. Given the significant implications for this clinical population, this review highlights the urgent need for further investigation and a ‘call to action’ for medical imaging researchers in pediatric neuro-oncology.
Original languageEnglish
Article numbere0314721
Number of pages21
JournalPLoS ONE
Volume20
Issue number1
Early online date30 Jan 2025
DOIs
Publication statusPublished - 30 Jan 2025

Bibliographical note

Copyright © 2025 Griffiths-King et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Access Statement

No datasets were generated or analysed during the current study. Data extracted from included studies is publicly available and found (in its entirety) in Table 2. All relevant data are within the manuscript.

Keywords

  • Brain Neoplasms/diagnostic imaging
  • Cancer Survivors/psychology
  • Child
  • Cognition
  • Cognitive Dysfunction/diagnostic imaging
  • Humans
  • Magnetic Resonance Imaging/methods
  • Neuroimaging/methods

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