근막 통증에 대한 초음파 영상
근막 통증에 대한 비침습적 다중 모드 초음파 기반 이미징 바이오마커의 개발 및 검증
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
연구 개요
상태
상태
정황
정황
개입 / 치료
개입 / 치료
상세 설명
The investigators propose to use multimodal ultrasound imaging to develop and validate a practical and inexpensive biomarker for lumbar myofascial pain, which shows sensitivity to change in relation to treatment. Myofascial pain (MP) is a frequent contributing factor to chronic low back pain (cLBP). It is associated with a range of tissue abnormalities, such as taught muscle bands, trigger points (TPs), and thoracolumbar fascia motion dysfunction, along with poor tissue elasticity. As a result, a composite biomarker for MP related to components of the syndrome is more likely to be plausible biologically, robust, and useful clinically for diagnosis and treatment. The investigators propose to study: 1. The echogenicity of latent and active trigger points, 2. The dynamic spatial-temporal tissue deformation quantified by strain tensors (compression, extension, and shear) in the thoracolumbar fascia and multifidus muscle, 3. The viscoelastic properties of the fascia and muscles measured by ultrasound shear wave elastography. In the R61 Phase (year 1 to 3) the investigators will use deep learning to integrate these measurements into a predictive biomarker and use established validation methods to test its ability to predict MP.
The investigators will determine the sensitivity and specificity of the biomarker to classify the myofascial components of pain, as well as the response to treatment (a diagnostic and predictive marker).
연구 유형
연구 유형
등록 (실제)
등록
연락처 및 위치
연구 장소
-
-
Pennsylvania
-
Pittsburgh, Pennsylvania, 미국, 15213
- Kauffman Medical Building
-
-
참여기준
자격 기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
샘플링 방법
연구 인구
The investigators are including healthy normal and cLBP subjects from ages 20 to 70.
설명
Inclusion/Exclusion Criteria for Healthy Normals (n=40):
- No history of chronic low back pain, myofascial pain of the neck or shoulders, or fibromyalgia.
- Ages 20-70 to be age appropriate to the cLBP subjects. The investigators will recruit 10 subjects per age decile (10 subjects ages 30-39 yrs., etc.).
- Any clinically unstable systemic illness that is judged to interfere
- with the trial
- Non-ambulatory status
- Not able to complete the questionnaires.
Inclusion Criteria CLBP:
- Age range 20-70 so that the age distribution is likely to roughly match the healthy normals
- Predominantly axial cLBP meeting the NIH definition of cLBP (at least 3 months on a daily basis) with a MP component (determined by a standardized clinical exam)
- Average pain score of > 3/10, with low back pain being the primary pain site
- cLBP meeting Quebec Task Force Classification System categories I-III (from axial pain only to pain radiating beyond the knee without neurological signs).
Exclusion Criteria CLBP:
- Back surgery within the past year
- Active worker's compensation or litigation claims since these patients are more likely to have exaggerated pain behavior
- New pain treatments within 2 weeks of enrollment
- Any clinically unstable systemic illness that is judged to interfere with the trial
- Non-ambulatory status
- Not able to complete the questionnaires.
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 관찰 모델: COHORT
- 시간 관점: PROSPECTIVE
그룹/코호트 수
코호트 및 개입
그룹/코호트그룹/코호트 |
개입 / 치료개입 / 치료 |
|---|---|
|
Healthy Normals
Participants with no chronic pain over a three-year timeframe. |
See above, this is only a phenotyping study but NIH required us to register it as a trial. |
|
MP without TPs
Participants with chronic low back pain who are classified as having myofascial pain and no trigger points. |
See above, this is only a phenotyping study but NIH required us to register it as a trial. |
|
MP with latent TPs
Participants with chronic low back pain who are classified as having myofascial pain and latent trigger points. |
See above, this is only a phenotyping study but NIH required us to register it as a trial. |
|
MP with active TPs
Participants with chronic low back pain who are classified as having myofascial pain and active trigger points. |
See above, this is only a phenotyping study but NIH required us to register it as a trial. |
연구는 무엇을 측정합니까?
주요 결과 측정
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
Diagnosis of one of 3 MP-related categories
기간: Study Visit 1 (week 1)
|
Participants to be diagnosed as normal, MP with trigger points, or MP with tender points only, as determined by standardized clinical examinations. |
Study Visit 1 (week 1)
|
2차 결과 측정
2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
Presence of Substantial MP
기간: Study Visit 1 (week 1) - Study Visit 2 (week 2)
|
The presence of substantial MP (e.g., # active TPs and pressure pain threshold below 6.5 N/cm2) as determined by the standardized clinical examinations. |
Study Visit 1 (week 1) - Study Visit 2 (week 2)
|
공동 작업자 및 조사자
협력자
협력자
수사관
수사관
- 수석 연구원: Kang Kim, PhD, University of Pittsburgh
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
연구 시작
기본 완료 (실제)
기본 완료
연구 완료 (실제)
연구 완료
연구 등록 날짜
최초 제출
최초 제출
QC 기준을 충족하는 최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
처음 게시됨
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
마지막 업데이트 게시됨
QC 기준을 충족하는 마지막 업데이트 제출
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
기타 연구 ID 번호
기타 연구 ID 번호
- STUDY22090014
- 1R61AT012282-01 (미국 NIH 보조금/계약)
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
IPD 계획 설명
Depends on the specific request from an outside party
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
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