Ultrasound Imaging for Myofascial Pain
Completed
Conditions studied: Chronic Low-back Pain, Myofascial Pain
In brief
The goal of this observational study is to develop and validate a biomarker for lumbar myofascial pain (MP) based on ultrasound obtained measurements of the lumbar muscles and fascia. The investigators will use advanced machine learning approaches and validation in a randomized controlled trial. The main questions it aims to answer are: * Will the deep learning-based marker reliably identify subjects from the 4 different groups: healthy, MP without trigger points, MP with latent trigger points, and MP with active trigger points? * Will the deep learning-based marker accurately classify/predict the severity of MP in subjects with cLBP? Participants in the healthy group will be asked to do the following tasks: * Consent/Enrollment * Measure Height/Weight * Complete Questionnaires on REDCap * Participate in Ultrasound Imaging Experiment Sessions Participants in the chronic low back pain group will be asked to do the following tasks: * Consent/Enrollment * Complete Questionnaires on REDCap * Measure Height/Weight * Undergo a Standardized Clinical Exam * Participate in Ultrasound Imaging Experiment Sessions
Key facts
- Study ID
- NCT05928884
- Run by
- University of Pittsburgh
- People needed
- 124
- Starts
- 2023-10-01
- Expected to finish
- 2025-07-31
- Last updated by the study team
- 2025-08-06
Who can join
Age: 20 and older, up to 70. Sex: any. Healthy volunteers: accepted.
Where it is running
- Kauffman Medical Building — Pittsburgh, Pennsylvania, United States
Full record on ClinicalTrials.gov
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