ArticleJournal of hip preservation surgery2020
Assessment of three-dimensional acetabular coverage angles.
Article in Journal of hip preservation surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed.
- Normal values of femoral head coverage angles on three-dimensional computed tomography images.PloS one · 2026Article
- Three-dimensional assessment of subchondral arc and hip joint coverage angles in the asymptomatic young adult hip.Clinical anatomy (New York, N.Y.) · 2025Article
- Dysplastic Hips in Young Adults Demonstrate Different Relationships Between Acetabular Coverage, Joint Congruity, and Contact Mechanics Than Asymptomatic Hips.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025Article
- Multivariate Quantitative Outcomes of Periacetabular Osteotomy Using Discrete Element Analysis.Advances in orthopedics · 2025Article
- Methods for three-dimensional characterization of the acetabulum prior to pelvic reorientation osteotomy: a scoping review.EFORT open reviews · 2024Article
- Adding false-profile radiographs improves detection of developmental dysplasia of the hip, data from the CHECK cohort.Journal of hip preservation surgery · 2022Article
- Measurement of acetabular wall indices: comparison between CT and plain radiography.Journal of hip preservation surgery · 2021Article
- What is the pelvic tilt in acetabular dysplasia and does it change following peri-acetabular osteotomy?Journal of hip preservation surgery · 2020Article
- 3D Characterization of Acetabular Deficiency in Children with Developmental Dysplasia of the Hip.Indian journal of orthopaedics · 2020Article
- Does pelvic tilt change with a peri-acetabular osteotomy?Journal of hip preservation surgeryArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this article is to report the inter- and intra-observer reliability of a computerized objective technique to quantify patient-specific acetabular morphology. We describe the use of and provide the software code for a technique to better define the location and magnitude of acetabular pathology. We have developed software code that allows the end user to obtain detailed measurements of the acetabulum using traditional computed tomography data. We provide the code and detailed instructions on how to use it in this article. The methodology was validated by having an unbiased observer (that was not involved in this project but has been trained in this software measurement methodology) to perform the entire acquisition, reconstruction and analysis procedure and compare their measurements to the measurements of one of the authors. The author then repeated the procedure 2 months later to determine intra-observer reliability. Inter- and intra-observer reliability for version, tilt, surface area and total acetabular coverage angles ranged from an intra-class correlation coefficient of 0.805 to 0.997. The method provided in this manuscript gives a reproducible objective assessment of three-dimensional (3D) acetabular morphology that can be used to assist in the diagnosis of hip pathology and to compare the morphological parameters of subjects with and without hip pathology. It allows a surgeon to understand the 3D shape of each individual's acetabulum, share these findings with patients and their parents to demonstrate the magnitude and location of the clinical abnormality and perform patient-specific surgical corrections to optimize the shape and coverage of the hip.
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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.