The effect of gadolinium-based contrast-agents on automated brain atrophy measurements by FreeSurfer in patients with multiple sclerosis.
Ingrid Anne LieEmma KerklinghKristin WesnesDavid R van NederpeltIman BrouwerØivind TorkildsenKjell-Morten MyhrFrederik BarkhofLars BøHugo VrenkenPublished in: European radiology (2022)
• The influence of gadolinium-based contrast agents (GBCAs) on atrophy measurements is still largely unknown and challenges the use of a considerable source of historical and prospective real-world data. • In 22 patients with multiple sclerosis, the consistency between brain atrophy measurements obtained from pre- and post-contrast images was excellent, suggesting it may be possible to extract reliable atrophy measurements in T1-weighted images acquired after administration of GBCAs, using FreeSurfer. • Absolute values were systematically different between pre- and post-contrast images, meaning that such images should not be compared directly, and measurements extracted from certain regions (e.g., the temporal pole) should be interpreted with caution.
Keyphrases
- deep learning
- contrast enhanced
- magnetic resonance
- convolutional neural network
- optical coherence tomography
- magnetic resonance imaging
- resting state
- white matter
- oxidative stress
- machine learning
- artificial intelligence
- high throughput
- cerebral ischemia
- functional connectivity
- big data
- palliative care
- brain injury
- single cell