The Seventh Affiliated Hospital, Sun Yat-sen University
Guangzhou, Guangdong, China
Location status: Recruiting
NCT Number: NCT06379243
In this project, IDEAL-IQ technology and PDFF and R2* image-based imaging methods are used to analyze the intrinsic relationship between preoperative vertebral bone marrow fat content, magnetic susceptibility properties of bone tissue and bone strength (bone volume and bone mass), to explore the mechanism of vertebral re-fracture after PVP / PKP, and to explore the imaging markers for the risk of postoperative vertebral re-fracture after PVP / PKP. To construct a precise and individualized risk assessment model of vertebral re-fracture after PVP/ PKP by combining clinical risk factors, preoperative quantitative MRI parameters (PDFF, R2*) and imaging characteristics, so as to achieve the goal of objectively and accurately evaluating the risk of vertebral re-fracture at the early stage of the postoperative period (1 year).
Interested in participating?
Request Info50 year–90 year
All sexes
Interventional
Not applicable
Guangzhou, Guangdong, China
Location status: Recruiting
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
PVP or PKP surgery in patients with osteoporotic vertebral compression fractures
Time frame: 1 year
Non-operative vertebral re-fracture within 1 year after PVP / PKP, confirmed by follow-up spinal MRI
Time frame: 1 year
Visual Analog Score (VAS) at 1 year after PVP / PKP were obtained by completing the appropriate questionnaires on-site at the time of the 1-year postoperative spinal MRI review.
Time frame: 1 year
Oswestry Dysfunction Index (ODI) at 1 year after PVP / PKP were obtained by completing the appropriate questionnaires on-site at the time of the 1-year postoperative spinal MRI review.
Contact information is provided by the study sponsor or research team.
The Seventh Affiliated Hospital of Sun Yat-sen University
Other
Development and Validation of a Postoperative Re-fracture Risk Model for Osteoporotic Spinal Fractures: a Multicenter Prospective Cohort Study
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