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Ultrasound Imaging for Myofascial Pain
Sponsor: University of Pittsburgh
Summary
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
Official title: Development and Validation of a Noninvasive Multimodal Ultrasound-Based Imaging Biomarker for Myofascial Pain
Key Details
Gender
All
Age Range
20 Years - 70 Years
Study Type
OBSERVATIONAL
Enrollment
124
Start Date
2023-10-01
Completion Date
2026-09-30
Last Updated
2026-10-05
Healthy Volunteers
Yes
Conditions
Interventions
There is no intervention. It is a phenotyping study only
See above, this is only a phenotyping study but NIH required us to register it as a trial.
Locations (1)
Kauffman Medical Building
Pittsburgh, Pennsylvania, United States