ReviewOrthopedic research and reviews2022
Current and Future Advanced Imaging Modalities for the Diagnosis of Early Osteoarthritis of the Hip.
Review in Orthopedic research and reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Clinical evaluation of femoral head cartilage damage using 5-Tesla MRI T2-mapping sequence-based on pathological specimens.BMC musculoskeletal disorders · 2026Article
- Intelligent Attention-Driven Deep Learning for Hip Disease Diagnosis: Fusing Multimodal Imaging and Clinical Text for Enhanced Precision and Early Detection.Medicina (Kaunas, Lithuania) · 2026Article
- Ghrelin suppresses apoptosis and autophagy in osteoarthritis synovial cells by modulating the ADORA2B/PI3K/Akt/mTOR signaling pathway.Journal of orthopaedics · 2025Article
- A genome-wide association study identifies genetic variants associated with hip pain in the UK Biobank cohort (N = 221,127).Scientific reports · 2025Article
- Therapeutic Controlled Release Strategies for Human Osteoarthritis.Advanced healthcare materials · 2025Review
- One-Year Functional Evaluation of Patient After CD34+ Stem Cell Treatment for Hip Osteoarthritis.Journal of personalized medicine · 2024Article
- Imaging of early-stage osteoarthritis: the needs and challenges for diagnosis and classification.Skeletal radiology · 2023Article
- T2 MAPPING OF ACETABULAR CARTILAGE IN PATIENTS WITH PRIMARY OSTEOARTHRITIS AND DDH-INDUCED SECONDARY OSTEOARTHRITIS ANALYSED WITH 7 TESLA MICRO-MRI.Acta clinica Croatica · 2023Article
- Hip and Knee Osteoarthritis in Patients with Chronic Myeloproliferative Neoplasms: A Cross-Sectional Study.Life (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hip osteoarthritis (OA) can be idiopathic or develop secondary to structural joint abnormalities of the hip joint (alteration of normal anatomy) and/or due to a systemic condition with joint involvement. Early osteoarthritic changes to the hip can be completely asymptomatic or may cause the development hip symptomatology without evidence of OA on radiographs. Delaying the progression of hip OA is critical due to the significant impact of this condition on the patient's quality of life. Pre-OA of the hip is a newly established term that is often described as the development of signs and symptoms of degenerative hip disease but no radiographic evidence of OA. Advanced imaging methods can help to diagnose pre-OA of the hip in patients with hip pain and normal radiographs or aid in the surveillance of asymptomatic patients with an underlying hip diagnosis that is known to increase the risk of early OA of the hip. These methods include the delayed gadolinium-enhanced magnetic resonance imaging (MRI) of cartilage (dGEMRIC), quantitative magnetic resonance imaging (qMRI- T1rho, T2, and T2* relaxation time mapping), 7-Tesla MRI, computed tomography (CT), and optical coherence tomography (OCT). dGEMRIC proved to be a reliable and accurate modality though it is limited by the significant time necessary for contrast washout between scans. This disadvantage is potentially overcome by T2 weighted MRIs, which do not require contrast. 7-Tesla MRI is a promising development for enhanced imaging resolution compared to 1.5 and 3T MRIs. This technique does require additional optimization and development prior to widespread clinical use. The purpose of this review was to summarize the results of translational and clinical studies investigating the utilization of the above-mentioned imaging modalities to diagnose hip pre-OA, with special focus on recent research evaluating their implementation into clinical practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.