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Application of New Magnetic Resonance UTE Technique in Hip Joint Lesions

F

Fifth Affiliated Hospital, Sun Yat-Sen University

Status

Enrolling

Conditions

Hip Disease

Study type

Observational

Funder types

Other

Identifiers

NCT05998720
ZDWY.FSK.025

Details and patient eligibility

About

Explore the imaging and quantitative monitoring of hip bone, cartilage and ligament by magnetic resonance UTE technology, combined with QCT and DXA technology, to provide a more accurate basis for clinical evaluation and treatment.

Full description

Osteoporosis is a systemic bone metabolism-related disease characterized by decreased bone mass per unit volume, increased bone fragility, decreased bone density, thinning of the bone cortex and changes in bone microstructure. It often occurs in the lumbar spine and hip joint. Femoral neck fracture is a common complication of hip osteoporosis, which seriously affects people's quality of life. UTE technology can clearly image and quantify human cortical bone and cancellous bone, and advanced UTE technology such as STAIR-UTE and UTE-MT have made some progress in the field of osteoporosis. The purpose of this study was to explore UTE technology for imaging and quantitative study of cortical bone, cancellous bone and cartilage of hip joint, and to find more accurate imaging methods for clinical evaluation of hip osteoporosis and other diseases.

Enrollment

150 estimated patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

  1. Patients with past or suspected osteoporosis and bone loss;
  2. Patients with previous femoral neck fracture;
  3. Patients with avascular necrosis of femoral head;
  4. Hip osteoarthritis patients.

Exclusion criteria

  1. Patients with metal implants in corresponding parts;
  2. Claustrophobic.

Trial design

150 participants in 2 patient groups

normal group
Description:
There are no lesions on the hip.
abnormal group
Description:
There are some lesions on the hip.

Trial contacts and locations

1

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Central trial contact

Xiaojun Chen

Data sourced from clinicaltrials.gov

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