ReviewCurrent reviews in musculoskeletal medicine2020
Advances in FAI Imaging: a Focused Review.
Review in Current reviews in musculoskeletal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 23 citations in OpenAlex.
- Intelligent extraction of CT image landmarks for improving cam-type femoroacetabular impingement assessment.European radiology · 2026Article
- Cam morphology and the development of femoroacetabular impingement syndrome and hip osteoarthritis.Nature reviews. Rheumatology · 2026Review
- Correlations of Alpha Angle on Preoperative Imaging with Intraoperative Fluoroscopy for the Evaluation of Cam Deformity: A Cross-Sectional Study.Hawai'i journal of health & social welfare · 2026Article
- Hip Joint Segmentation From Magnetic Resonance Imaging to Generate 3-Dimensional Models to Assess Femoroacetabular Impingement Syndrome.Arthroscopy techniques · 2025Article
- Radiomics for Precision Diagnosis of FAI: How Close Are We to Clinical Translation? A Multi-Center Validation of a Single-Center Trained Model.Journal of clinical medicine · 2025Article
- Review
- Current understanding of articular cartilage lesions in femoroacetabular impingement syndrome.Journal of orthopaedic surgery and research · 2024Review
- Outcomes and complications of hip arthroscopy for femoroacetabular impingement syndrome: A narrative review.Journal of clinical orthopaedics and trauma · 2024Review
- Deep Learning-Assisted Identification of Femoroacetabular Impingement (FAI) on Routine Pelvic Radiographs.Journal of imaging informatics in medicine · 2024Article
- Best practice guidelines for clinical and radiological assessment of patients with femoroacetabular impingement. Results from the ISHA International Delphi Consensus Project-Phase 2.Journal of hip preservation surgery · 2024Article
- A radiomics approach to the diagnosis of femoroacetabular impingement.Frontiers in radiology · 2023Article
- Open and arthroscopic management of femoroacetabular impingement: a review of current concepts.Journal of hip preservation surgery · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewFemoroacetabular impingement (FAI) is one of the main causes of hip pain in young adults and poses clinical challenges which have placed it at the forefront of imaging and orthopedics. Diagnostic hip imaging has dramatically changed in the past years, with the arrival of new imaging techniques and the development of magnetic resonance imaging (MRI). This article reviews the current state-of-the-art clinical routine of individuals with suspected FAI, limitations, and future directions that show promise in the field of musculoskeletal research and are likely to reshape hip imaging in the coming years. RECENT
findingsThe largely unknown natural disease course, especially in hips with FAI syndrome and those with asymptomatic abnormal morphologies, continues to be a problem as far as diagnosis, treatment, and prognosis are concerned. There has been a paradigm shift in recent years from bone and soft tissue morphological analysis towards the tentative development of quantitative approaches, biochemical cartilage evaluation, dynamic assessment techniques and, finally, integration of artificial intelligence (AI)/deep learning systems. Imaging, AI, and hip preserving care will continue to evolve with new problems and greater challenges. The increasing number of analytic parameters describing the hip joint, as well as new sophisticated MRI and imaging analysis, have carried practitioners beyond simplistic classifications. Reliable evidence-based guidelines, beyond differentiation into pure instability or impingement, are paramount to refine the diagnostic algorithm and define treatment indications and prognosis. Nevertheless, the boundaries of morphological, functional, and AI-aided hip assessment are gradually being pushed to new frontiers as the role of musculoskeletal imaging is rapidly evolving.
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What OpenQuestion holds
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.