Automated analysis of quantitative muscle MRI and its reliability in patients with Duchenne muscular dystrophy
The presented automated segmentation technique is a fast and reliable tool for assessing disease progression, particularly in the early stages of DMD. It is one of the few studies validated using manual segmentation, and with further refinement, it has the potential to become a good surrogate marker for disease progression in various neuromuscular disorders.
Authors
- Sabine Schädelin (ORCID: https://orcid.org/0000-0002-1150-0962)
- Olga Kubassova (ORCID: https://orcid.org/0000-0001-7792-1535)
- J. Schröder (ORCID: https://orcid.org/0009-0002-5832-6217)
- Sara Nagy (ORCID: https://orcid.org/0000-0002-3508-860X)
- Mikael Boesen (ORCID: https://orcid.org/0000-0002-8774-6563)
- Oliver Bieri (ORCID: https://orcid.org/0000-0002-6755-5495)
- Simone Schmidt (ORCID: https://orcid.org/0000-0002-9082-8527)
- Dirk Fischer (ORCID: https://orcid.org/0000-0003-0707-9201)
- Patricia Hafner (ORCID: https://orcid.org/0000-0003-1381-0216)
- Michael Sinnreich (ORCID: https://orcid.org/0000-0002-9835-1276)
Institutions
- University of Basel (CH)
- Frederiksberg Hospital (DK)
- University Hospital of Basel (CH)
- Copenhagen University Hospital (DK)
- University Children’s Hospital Basel (CH)
- Institute of Group Analysis (GB)
Publication Details
- Journal
- Journal of Neuromuscular Diseases
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1177/22143602251319184
- Primary Topic
- Muscle Physiology and Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00