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Automated deep-learning quantification of intramuscular fat in lumbar spine muscles on dixon MRI: validation and normative reference values from 173 healthy adults

Crossref DOI link: https://doi.org/10.1186/s12880-026-02329-9

Published Online: 2026-03-31

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Balerdi, Germán

Henckel, Johann

Laura, Anna Di

Hart, Alister J. https://orcid.org/0000-0003-1281-6886
Belzunce, Martín A. https://orcid.org/0000-0001-6085-484X
Funding

Funding for this research was provided by:

Rosetrees Trust
License Information

Text and Data Mining valid from 2026-03-31

Accepted Manuscript valid from 2026-03-31
More Information

Article History

Received: 5 May 2025

Accepted: 26 March 2026

First Online: 31 March 2026

Declarations

:

: The study was approved by the University College London Research Ethics Committee (REC) [Number 13823/001] and all procedures were conducted in accordance with the Declaration of Helsinki and its later amendments. All subjects provided written informed consent.

: Not applicable.

: The authors declare no competing interests.

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