liu.seSearch for publications in DiVA
Operational message
There are currently operational disruptions. Troubleshooting is in progress.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Quantitative Muscle Analysis in FSHD Using Whole-Body Fat-Referenced MRI Composite Scores for Longitudinal and Cross-sectional Analysis
Fulcrum Therapeut, MA 02139 USA.
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping. Linköping University, Center for Medical Image Science and Visualization (CMIV). AMRA Med AB, Linkoping, Sweden.
AMRA Med AB, Linkoping, Sweden.
AMRA Med AB, Linkoping, Sweden.
Show others and affiliations
2022 (English)In: Neurology, ISSN 0028-3878, E-ISSN 1526-632X, Vol. 99, no 9, p. E877-E889Article in journal (Refereed) Published
Abstract [en]

Background and Objectives Facioscapulohumeral muscular dystrophy (FSHD) is a rare, debilitating disease characterized by progressive muscle weakness. MRI is a sensitive assessment of disease severity and progression. We developed a quantitative whole-body (WB) musculoskeletal MRI (WB-MSK-MRI) protocol analyzing muscles in their entirety. This study aimed to assess WB-MSK-MRI as a potential imaging biomarker providing reliable measurements of muscle health that capture disease heterogeneity and clinically meaningful composite assessments correlating with severity and more responsive to change in clinical trials. Methods Participants aged 18-65 years, with genetically confirmed FSHD1, clinical severity 2 to 4 (Ricci scale, range 0-5), and >= 1 short tau inversion recovery-positive lower extremity muscle eligible for needle biopsy, enrolled at 6 sites and were imaged twice 4-12 weeks apart. Volumetric analysis of muscle fat infiltration (MFI), muscle fat fraction (MFF), and lean muscle volume (LMV) in 18 (36 total) muscles from bilateral shoulder, proximal arm, trunk, and legs was performed after automated atlas-based segmentation, followed by manual verification. A WB composite score, including muscles at highest risk for progression, and functional cross-sectional composites for correlation with relevant functional outcomes including timed up and go (TUG), FSHD-TUG, and reachable workspace (RWS), were developed. Results Seventeen participants enrolled in this study; 16 follow-up MRIs were performed at 52 days (range 36-85 days). Functional cross-sectional composites (MFF and MFI) showed moderate to strong correlations: TUG (rho = 0.71, rho = 0.83), FSHD-TUG (rho = 0.73, rho = 0.73), and RWS (left arm: rho = -0.71, rho = -0.53; right arm: rho = -0.61, rho = -0.65). WB composite variability: LMVtot, coefficient of variation (CV) 1.9% and 3.4%; MFFtot, within-subject SD (S-w) 0.5% and 1.5%; and MFItot (S-w), 0.3% and 0.4% for normal and intermediate muscles, respectively. CV and S-w were higher in intermediate (MFI >= 0.10; MFF <0.50) than in normal (MFI <0.10, MFF <0.50) muscles. Discussion We developed a WB-MSK-MRI protocol and composite measures that capture disease heterogeneity and assess muscle involvement as it correlates with FSHD-relevant clinical endpoints. Functional composites robustly correlate with functional assessments. Stability of the WB composite shows that it could be an assessment of change in therapeutic clinical trials. Classification of Evidence This study provides Class II evidence that quantitative WB-MSK-MRI findings associate with FSHD1 severity measured using established functional assessments.

Place, publisher, year, edition, pages
LIPPINCOTT WILLIAMS & WILKINS , 2022. Vol. 99, no 9, p. E877-E889
National Category
Neurology
Identifiers
URN: urn:nbn:se:liu:diva-188616DOI: 10.1212/WNL.0000000000200757ISI: 000851622400017PubMedID: 35750498OAI: oai:DiVA.org:liu-188616DiVA, id: diva2:1697083
Note

Funding Agencies|Fulcrum Therapeutics

Available from: 2022-09-20 Created: 2022-09-20 Last updated: 2023-09-29

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Authority records

Dahlqvist Leinhard, Olof

Search in DiVA

By author/editor
Widholm, PerDahlqvist Leinhard, Olof
By organisation
Division of Diagnostics and Specialist MedicineFaculty of Medicine and Health SciencesDepartment of Radiology in LinköpingCenter for Medical Image Science and Visualization (CMIV)
In the same journal
Neurology
Neurology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 140 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf