469-04-004 ISMRM Abstract

A clinical-radiomics nomogram based on multiparametric MRI to identify muscular dystrophies and non-muscular dystrophies

Primary: Musculoskeletal - Muscle

Secondary: Musculoskeletal

469-04-004 · MRI and MRS in Muscle in Health and Disease · Tuesday, 12 May, 2:35 PM–3:30 PM · Digital Posters Row J

Keywords: Radiomics Nomogram Machine learning (ML) Muscular dystrophy

Accepted

Xinyue Niu ¹, Junfei Li¹, Ranxu Zhang¹, Ying Liu¹, Yueluan Jiang², Jian Zhao¹

¹Department of Medical Imaging，Hebei Medical University Third Hospital，Shijiazhuang，Hebei，China，, shijiazhuang, China

²MR Research Collaboration Team, Siemens Healthineers Ltd., Beijing, China

Presenting Author: Xinyue Niu

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References

1. Mercuri E, Bönnemann CG, Muntoni F. Muscular dystrophies. Lancet. 2019;394(10213):2025-2038. doi:10.1016/S0140-6736(19)32910-1 [doi]

2. Michelle EH, Mammen AL. Myositis Mimics. Curr Rheumatol Rep. 2015;17(10):63. doi:10.1007/s11926-015-0541-0 [doi]

3. Bushby K, Finkel R, Birnkrant DJ, et al. Diagnosis and management of Duchenne muscular dystrophy, part 1: diagnosis, and pharmacological and psychosocial management. Lancet Neurol. 2010;9(1):77-93. doi:10.1016/S1474-4422(09)70271-6 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/469-04-004