Ultrasound Imaging for Myofascial Pain

Study overview

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

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

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Collaborators and Investigators

University of Pittsburgh,

Kang Kim, PhD, PRINCIPAL_INVESTIGATOR, University of Pittsburgh

Study Record Dates

2027-12-30