ArticleEuropean journal of radiology open2021
MRI-based 3D models of the hip joint enables radiation-free computer-assisted planning of periacetabular osteotomy for treatment of hip dysplasia using deep learning for automatic segmentation.
Article in European journal of radiology open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07581717 (Computer-Assisted Comparative Analysis of Acetabular Volume and Surface Morphology in Pediatric Acetabular Osteotomies), which is not on this map. Cited by 20 papers.
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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.
Computer-Assisted Comparative Analysis of Acetabular Volume and Surface Morphology in Pediatric Acetabular Osteotomies (Salter, Dega, San Diego, and Pemberton)
Who cites it
20 citing papers in PubMed, 39 citations in OpenAlex.
- Anatomy-driven automated subsegmentation of pelvic and proximal femoral CT into clinically relevant subregions and landmarks.BMC medical imaging · 2026Article
- MRI-CT fusion-based digital true hip reconstruction in pediatric developmental dysplasia of the hip: a preliminary feasibility report.Frontiers in surgery · 2026Article
- Radiomics in FAI: current status and perspectives.Bone & joint research · 2025Article
- Deep Learning-Based Segmentation in Musculoskeletal Imaging: A Review of Research Trends.Journal of the Korean Society of Radiology · 2025Review
- Magnetic Resonance Imaging-Based 3-Dimensional Models of the Pelvis and Hip Using Machine Learning for Automatic Bone Segmentation in a Dynamic Hip Impingement Simulation.Orthopaedic journal of sports medicine · 2025Article
- Normal range of femoral version for different measurement methods on CT or MRI-scoping review of normal femoral version.Journal of hip preservation surgery · 2025Article
- Artificial intelligence demonstrates potential to enhance orthopaedic imaging across multiple modalities: A systematic review.Journal of experimental orthopaedics · 2025Review
- Ultra-low dose hip CT-based automated measurement of volumetric bone mineral density at proximal femoral subregions.Medical physics · 2024Article
- 3D Printing Technology in Pediatric Orthopedics: a Primer for the Clinician.Current reviews in musculoskeletal medicine · 2023Review
- Deep-Learning-Based Segmentation of the Shoulder from MRI with Inference Accuracy Prediction.Diagnostics (Basel, Switzerland) · 2023Article
- [Preoperative MR imaging for hip dysplasia : Assessment of associated deformities and intraarticular pathologies].Orthopadie (Heidelberg, Germany) · 2023Review
- Femoral impingement in maximal hip flexion is anterior-inferior distal to the cam deformity in femoroacetabular impingement patients with femoral retroversion : implications for hip arthroscopy.Bone & joint research · 2023Article
- Efficient cascaded V-net optimization for lower extremity CT segmentation validated using bone morphology assessment.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022Article
- Biocompatibility of 3D-Printed PLA, PEEK and PETG: Adhesion of Bone Marrow and Peritoneal Lavage Cells.Polymers · 2022Article
- Automated measurement of alpha angle on 3D-magnetic resonance imaging in femoroacetabular impingement hips: a pilot study.Journal of orthopaedic surgery and research · 2022Article
- Magnetic Resonance Imaging Versus Computed Tomography for Three-Dimensional Bone Imaging of Musculoskeletal Pathologies: A Review.Journal of magnetic resonance imaging : JMRI · 2022Review
- Combined abnormalities of femoral version and acetabular version and McKibbin Index in FAI patients evaluated for hip preservation surgery.Journal of hip preservation surgery · 2022Article
- MRI-based synthetic CT of the hip: can it be an alternative to conventional CT in the evaluation of osseous morphology?European radiology · 2022Article
- Diagnosis of acetabular retroversion: Three signs positive and increased retroversion index have higher specificity and higher diagnostic accuracy compared to isolated positive cross over sign.European journal of radiology open · 2022Article
- Real-world analysis of artificial intelligence in musculoskeletal trauma.Journal of clinical orthopaedics and trauma · 2021Review
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionBoth Hip Dysplasia(DDH) and Femoro-acetabular-Impingement(FAI) are complex three-dimensional hip pathologies causing hip pain and osteoarthritis in young patients. 3D-MRI-based models were used for radiation-free computer-assisted surgical planning. Automatic segmentation of MRI-based 3D-models are preferred because manual segmentation is time-consuming.To investigate(1) the difference and(2) the correlation for femoral head coverage(FHC) between automatic MR-based and manual CT-based 3D-models and (3) feasibility of preoperative planning in symptomatic patients with hip diseases.
methodsWe performed an IRB-approved comparative, retrospective study of 31 hips(26 symptomatic patients with hip dysplasia or FAI). 3D MRI sequences and CT scans of the hip were acquired. Preoperative MRI included axial-oblique T1 VIBE sequence(0.8 mm
results(1)The difference between automatic and manual segmentation of MRI-based 3D hip joint models was below 1 mm(proximal femur 0.2 ± 0.1 mm and acetabulum 0.3 ± 0.5 mm). Dice coefficients of the proximal femur and the acetabulum were 98 % and 97 %, respectively. (2)The correlation for total FHC was excellent and significant(r = 0.975, p < 0.001) between automatic MRI-based and manual CT-based 3D-models. Correlation for total FHC (r = 0.979, p < 0.001) between automatic and manual MR-based 3D models was excellent.(3)Preoperative planning and simulation of periacetabular osteotomy was feasible in all patients(100 %) with hip dysplasia or acetabular retroversion.
conclusionsAutomatic segmentation of MRI-based 3D-models using deep learning is as accurate as CT-based 3D-models for patients with hip diseases of childbearing age. This allows radiation-free and patient-specific preoperative simulation and surgical planning of periacetabular osteotomy for patients with DDH.
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