Myofascial Pain
Conditions
Keywords
Magnetic Resonance Imaging, Surface Electromyography, Fiber-optic Imaging and Sensing
Brief summary
The goal of this study is to develop new imaging biomarkers for quantitative assessments of myofascial pain.
Detailed description
This study aims to develop a multi-modal, multi-parametric, multi-scale imaging of the human myofascial unit by combining magnetic resonance imaging (MRI), surface electromyography (sEMG), and fiber-optic imaging and sensing. Participants (half with active neck/shoulder/back pain, and half healthy controls) will be recruited from pain management clinics and Volunteer for Health, or will be referred by Dr. Xioabin Yi. They will undergo all three imaging techniques and complete a number of patient questionnaires over the course of a single study visit. The study team will then identify candidate biomarkers capable of differentiating between healthy (no myofascial pain) and those with active pain to target in a future clinical trial.
Interventions
DIAGNOSTIC_TESTMulti-modal, multi-parametric, multiscale imaging of the myofascial unit
Study Participants will undergo four study procedures at one visit, including magnetic resonance imaging (MRI), surface electromyography (sEMG), fiber-optic imaging and sensing, and questionnaires.
Sponsors
Washington University School of Medicine
National Center for Complementary and Integrative Health (NCCIH)
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE
Intervention model description
This is a two-phase, NIH-supported study. The first R61 phase (currently awarded) is an observational study with one control group and one patient group. The second R33 phase is a randomized clinical trial, which will be awarded by the end of the R61 phase. The study design provided here is for R61 only.
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
Yes
Inclusion criteria
Healthy Volunteer Inclusion Criteria: 1. Absence of a history of chronic pain in the targeted anatomical location (i.e., neck and shoulder) that had limited activities of daily living or work 2. A numerical current pain index of lower than 0.5 according to initial assessment with visual analog scale 3. Able to understand the goal of the project and give informed consent. Healthy Volunteer
Exclusion criteria
1. Pregnancy or breastfeeding 2. Contraindication to MRI 3. Previous severe/acute neck or shoulder injury 4. Previous neck or shoulder surgery 5. Neck or shoulder deformities 6. Inability to provide consent. Myofascial Pain Patient Inclusion Criteria: 1. Between the ages of 18 and 80 years old 2. Neck and/or shoulder pain, unilateral or bilateral 3. Duration of symptoms for longer than 4 weeks 4. Pain scale at the active state higher than 4 according to initial assessment with visual analog scale 5. Presence of active trigger point(s) according to palpation and/or presence of taut band Myofascial Pain Patient
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Statistical Plan | For each individual, multi-modal imaging will be performed on the same day. Magnetic Resonance Imaging (MRI) will take about 1 hour. Fiber-optic measurements will take a few minutes. Surface electromyography (sEMG) recording will take <20 minutes. | The statistical analysis will assess the capability of imaging-based quantitative biomarkers to distinguish the pathological and physiological differences between participant groups (i.e., myofascial pain patients vs. healthy volunteers). The imaging biomarkers will be measured for each participant, including tissue stiffness, hydration, inflammation, blood oxygenation and flow, electrical activity, etc. The biomarkers will be measured and compared in the univariate fashion, which means we assess the differentiation performance for each biomarker independently. For each biomarker, we will compare the difference between the participant groups, using the Student's t-test or Wilcoxon rank-sum test. The statistical power will be estimated based on the effect size (Cohen's d) of difference between the participant groups. With an expected effect size of \>0.9, the proposed sample size can achieve a statistical power greater than 0.8. |
Countries
United States
Outcome results
None listed