Looking for early signs on brain MRIs that can predict whether young people with ependymoma will go on to experience cognitive problems

Dr Shivaram Avula will identify markers in the brains of young people with brain tumours that will help predict the development of long-term side effects like learning and memory problems.

Project Details

  • Early imaging predictors of quality of life in children and young people – a pilot study in paediatric ependymoma (EPiQ – ependymoma)
  • Lead Researcher
  • Dr Shivaram Avula
  • Research Centre
  • Alder Hey Children’s Hospital
  • City & Institution Postcode
  • Liverpool, L14 5AB
  • Start Date
  • 01/01/2026
  • Project Duration
  • 36 months
  • Grant Amount
    £186,949.81

Overview

Children and young adults with brain tumours can experience cognitive late effects, such as problems with thinking, attention, language, learning, and memory. Some also have issues with movement, hearing, and vision. This can affect their education, mental health, and employment opportunities later in life. Results from a recent study of nearly 280 brain tumour survivors showed that around 50% faced these problems.

Specialist rehabilitative therapy, can help with these problems. However, patients and families report that access to this can vary a lot by geographic location. If we could spot which young people are at risk earlier, services could prioritise those who need help sooner, improving long‑term outcomes and quality of life.

About the project

Professor Shivaram Avula at Alder Hey Children’s Hospital believes that MRI scans could help identify at-risk patients. His expert team will study MRI scans and psychological assessments from the UK participants of a European ependymoma clinical trial. As these patients have all had the same scans and assessments, it is the ideal group to help identify early warning signs of cognitive late effects.

The researchers will analyse the MRI scans, looking at visible differences and tiny changes detectable only through conventional interpretation and advanced computer techniques. This information from the scans will be integrated with the clinical and psychological assessments using machine learning techniques that can recognise patterns linked with future cognitive difficulties. Once early indicators are identified, they will be tested in larger and more diverse groups of children with brain tumours.

What difference will this project make?

This project has been shaped with the input of patients and caregivers affected by childhood brain tumours. This showed that cognition problems are a key issue for children and young adults with brain tumours, and can impact their quality of life. By identifying at risk patients earlier and prioritising them for support, Professor Avula hopes that this project will help improve young people’s quality of life and ensure their future.

Other stories

We have lots of information to help you learn more about childhood cancer. From specific cancer types, to treatments and causes.