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NCT07498660
The study is an interventional, randomized, open-label (non-blinded), placebo-controlled trial. Preoperatively, patients scheduled for primary total hip arthroplasty (THA) will undergo a clinical examination in the Orthopaedic Department. Clinical tests will be performed to confirm sacroiliac joint (SIJ) dysfunction on the operated side. In addition, low-dose computed tomography (CT) will be used to assess structural changes in the SIJ. All patients will complete patient-reported outcome measures related to the hip joint, including the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and the Harris Hip Score (HHS), as well as SIJ-related assessments, including the Oswestry Disability Index (ODI). Pain intensity will be assessed using the Visual Analogue Scale (VAS). Following THA, patients will be randomly allocated into two groups during their hospital stay. In the intervention group, platelet-rich plasma (PRP) will be injected into the sacroiliac joint, whereas the control group will receive an injection of normal saline. All injections will be performed in the operating theatre. At discharge, patients will be scheduled for follow-up visits at 2, 6, and 12 weeks postoperatively. At each follow-up, patient-reported outcomes will be collected, including WOMAC and HHS for hip function, ODI for SIJ-related disability, and VAS for pain assessment of both the hip and sacroiliac joint.
NCT07474571
Study Overview This clinical research focuses on the development and validation of a multimodal artificial intelligence (AI) platform designed for the automated diagnosis and precise staging of two major musculoskeletal conditions: Osteoporosis (OP) and Osteoarthritis (OA). By integrating diverse clinical imaging data, the study aims to provide a more objective and standardized approach to assessing bone and joint degeneration. Technological Core: Intelligent Staging Traditional diagnosis often relies on manual interpretation, which can lead to inter-observer variability. This study employs deep learning and multimodal imaging to: For Osteoporosis: Automatically quantify bone mineral density and micro-architectural changes to determine the stage of bone loss and evaluate fracture risk. For Osteoarthritis: Identify subtle radiological markers such as joint space narrowing and osteophyte formation to categorize the severity of joint degeneration according to international staging standards (e.g., Kellgren-Lawrence scale). Why This Matters Early Intervention: By identifying early-stage changes in bone density and joint integrity, clinicians can implement preventive treatments before significant disability occurs. Standardized Care: The intelligent diagnostic model provides a "digital second opinion," ensuring consistent staging across different healthcare settings. Efficiency: The automated workflow reduces the workload of radiologists while maintaining high diagnostic accuracy. Ethical Compliance The study is conducted at Peking University People's Hospital under the supervision of the Institutional Review Board (Approval No. 2026PHB097-001). It strictly adheres to international ethical standards, including the Declaration of Helsinki and Good Clinical Practice (GCP) guidelines, to ensure patient data privacy and safety.
NCT06977282
The aim of this observational study is to investigate the relationship between pain severity and alterations in bone-derived and brain-derived signaling molecules (including serum neurotransmitters and inflammatory cytokines), as well as structural and functional changes in the ventrolateral periaqueductal gray (vlPAG) region in patients with kidney-deficiency type knee osteoarthritis (KOA). The central question it seeks to address is whether changes in these signaling molecules and vlPAG alterations are associated with the degree of pain. Patients scheduled to undergo total knee arthroplasty (TKA) due to KOA will be enrolled prior to surgery. Before the operation, they will undergo questionnaire assessments, physical examinations, imaging evaluations, and blood sample collection. The resected tibial plateau tissue obtained during surgery will be used for subsequent laboratory analyses.
NCT06785883
This study will investigate whether physiotherapists can accurately identify symptoms of anxiety and of depression in patients with chronic musculoskeletal pain (primary aim). The prevalence of co-morbid anxiety and depression in patients with chronic neck and / or shoulder pain, chronic low back pain, rheumatoid arthritis, osteoarthritis or fibromyalgia within physiotherapy practices will be established (secondary aim).