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Not yet recruitingNCT06917430Updated Apr 8, 2025

Muscle MRI Outlining of Neuromuscular Diseases Using Artificial Intelligence

An observational study in Becker Muscular Dystrophy, FSHD - Facioscapulohumeral Muscular Dystrophy and Hypokalemic Periodic Paralysis, sponsored by Copenhagen University Hospital, Rigshospitalet. Not yet recruiting. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2025-04-08.

Sponsored by Copenhagen University Hospital, Rigshospitalet · Observational

Study type
Observational
Model
Other
Time perspective
Cross-sectional
Enrollment
120
Ages
18 Years and older
Sex
All
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Study summary

Background and aim:

Neuromuscular diseases encompass a range of conditions affecting muscle cells, nerves, or the interaction between the two. A common pathological feature of these conditions is the pro-gressive replacement of muscle tissue with fat, which can be visualised using magnetic reso-nance imaging (MRI). MRI-based fat quantification serves as a key biomarker for disease characterisation, progression tracking, and treatment assessment. Currently, manual segmenta-tion of MRI scans for fat quantification is very time-consuming, requiring individual muscle delineation. Therefore, an artificial intelligence (AI) model is being developed to automate the segmentation. The aim of this study is to validate this AI model and assess its possibilities and limitations.

Method:

The study is ongoing. Retrospective MRI scans of patients with four different muscle diseases (anoctaminopathy, Becker muscular dystrophy, facioscapulohumeral muscular dystrophy, and hypokalemic periodic paralysis) are collected and manual delineation used for training the AI-model is being performed. The intramuscular fat fraction of individual muscles of the pelvis, thigh, and calf will be analysed using the AI model. The performance of the AI model will be compared to manual segmentation. The AI will be evaluated on metrics such as segmentation accuracy and time efficiency.

02

Conditions studied

  • Becker Muscular Dystrophy
  • FSHD - Facioscapulohumeral Muscular Dystrophy
  • Hypokalemic Periodic Paralysis

Keywords

  • AI
  • muscle delineation
  • automated segmentation
  • Becker muscular dystrophy
  • FSHD
  • HypoPP
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In context

Muscular Dystrophy, Duchenne

480 studies on the registry are indexed under Muscular Dystrophy, Duchenne; 109 are open to participants now.

This study's planned enrollment of 120 is above the median of 60 across 134 observational studies indexed under Muscular Dystrophy, Duchenne.

Browse Muscular Dystrophy, Duchenne studies →

Lead sponsor

Copenhagen University Hospital, Rigshospitalet is the lead sponsor of 35 studies on the registry; 11 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Patients will be recruited from Copenhagen Neuromuscular Centre.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Genetically verified diagnosis of neuromuscular diseases.
  • Age above 18 years

Exclusion criteria

Exclusion Criteria:

  • Contraindications to perform an MRI
  • Competing disorders and other muscle disorders, which may alter measurements. The investigator will decide whether the competing disorder can significantly influence the results
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Study design

Observational model
Other
Time perspective
Cross-sectional
Enrollment
120 participants (estimated)
Patient registry
No

Groups and cohorts

  • Becker muscular dystrophy

    MRI scans

    Other: No intervention

  • HypoPP

    MRI scans

    Other: No intervention

  • FSHD

    MRI scans

    Other: No intervention

Interventions

  • OtherNo intervention

    No intervention.

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What researchers measure

Primary outcomes

  1. Difference in fat fraction between manual and AI outlining.

    The mean difference in MRI assessed intramuscular fat fraction in the lower back, thigh, and calf muscles between manual outlining and the outlining by the AI model.

    Time frame: Analysis of the muscle fat fraction takes 1 hour per patient.

Secondary outcomes

  1. Correlation between Manual/AI outlining discrepancies and disease severity

    Investigate if the difference between manual outlining and AI outlining increases the more advanced stage the disease is. A correlation analysis will be made between manual/AI differences and fat fraction in lower back, thigh, and calf.

    Time frame: The analysis of the MRI takes around an hour

07

Study locations

No study locations are listed for this record.

08

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Start is estimated for May 2025; primary completion for Jan 2035, 116 months later.

How these figures are worked out, and which studies are left out of them.

Registered
Apr 1, 2025
First posted
Apr 8, 2025
StartEst.
May 1, 2025
Primary completionEst.
Jan 1, 2035
CompletionEst.
Jan 1, 2035
Last update
Apr 8, 2025
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Apr 8, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06917430
Lead sponsor
Copenhagen University Hospital, Rigshospitalet
Responsible party
Bjørk Teitsdóttir (Stud.med, Copenhagen University Hospital, Rigshospitalet) — Principal investigator
First posted
Apr 8, 2025
Start date
May 1, 2025 (estimated)
Primary completion
Jan 1, 2035 (estimated)
Completion
Jan 1, 2035 (estimated)
Last update
Apr 8, 2025

Study contacts

Bjørk Teitsdóttir, Medical student
Contact
bjoerk.teitsdottir@regionh.dk
+4535456135
John Vissing, Professor
Contact

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Apr 2025. You cannot join it, but the record below documents what was studied.

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Discussion

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