Computed tomography-derived quantitative imaging biomarkers enable the prediction of disease manifestations and survival in patients with systemic sclerosis
This study highlights several parameters with the potential to reshape clinical pathways for SSc patients. Quantitative BCA biomarkers offer a means to predict survival and individual disease manifestations, in part outperforming established parameters. These insights open new avenues for research into the mechanisms driving body composition changes in SSc and for developing enhanced disease management tools, ultimately leading to more personalised and effective patient care.
Authors
- Gabriela Riemekasten (ORCID: https://orcid.org/0000-0002-5406-2464)
- René Hosch (ORCID: https://orcid.org/0000-0003-1760-2342)
- Malte Maria Sieren (ORCID: https://orcid.org/0000-0002-3669-2892)
- Jörg Barkhausen (ORCID: https://orcid.org/0000-0001-8937-1198)
- Hanna Graßhoff
- Lennart Berkel (ORCID: https://orcid.org/0009-0006-8024-6992)
- Roman Kloeckner (ORCID: https://orcid.org/0000-0001-5492-4792)
- Felix Nensa (ORCID: https://orcid.org/0000-0002-5811-7100)
- Franz Wegner (ORCID: https://orcid.org/0000-0001-7907-2872)
Institutions
- University Hospital Schleswig-Holstein (DE)
- Essen University Hospital (DE)
- University of Lübeck (DE)
Publication Details
- Journal
- RMD Open
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1136/rmdopen-2024-005090
- Citations
- 1
- Primary Topic
- Systemic Sclerosis and Related Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.47