Martin Bretzner, ESOC 2022: Brain-age biomarkers to predict post-stroke recovery
Brain-age biomarkers can be used to predict post-stroke recovery. Dr Martin Bretzner (Lille Neuroscience & Cognition Research Centre, Lille University Hospital, Lille, France) discusses the results of a study using radiomics, an emerging image-quantifying technology to assess ‘brain-age’ biomarkers. The study investigates how relative brain age, rather than chronological age, can enhance stroke surveillance and improve predictions on post-stroke recovery.
The abstract entitled “‘Brain-age’ biomarkers predict stroke recovery more accurately than chronological age, new study shows” was presented at the 8th European Stroke Organisation Conference, May 4-6, 2022.
Questions:
- Could you give us a brief overview of radiomics and its potential uses? (0:26)
- What was the rationale for the study you are presenting? (1:00)
- What was the methodology and eligibility criteria of the study? (2:09)
- What were the findings in terms of the impact of ‘brain age’ on stroke recovery, and what factors influenced brain age? (3:11)
- How can these findings be used in routine clinical practice? (4:05)
Disclosures: Martin Bretzner has nothing to disclose in relation to this video interview.
Support: Interview and filming supported by Touch Medical Media. Interview conducted by Danielle Crosby.
Filmed as a highlight of ESOC 2022
