Deep Learning-Based Automated Detection and Burden Assessment of Paramagnetic Rim Lesions on Quantitative Susceptibility Mapping in Patients With Multiple Sclerosis.
Automated deep-learning detection of key MS brain lesions removes a barrier to using this important imaging marker in disease monitoring and trials.
Deep learning automates accurate detection and quantification of paramagnetic rim lesions on QSM in MS patients, addressing a key barrier to clinical adoption of this prognostically important imaging biomarker. Automation enables scalable use in MS disease monitoring and treatment trials.
What the study was
- Study design
- Retrospective single-centre cohort
- Population
- Multiple sclerosis patients; single academic centre
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- Korean journal of radiology
Why it surfaced
Novel DL automation of QSM paramagnetic rim lesions in MS; important biomarker; single-centre retrospective limits generalizability.
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