ArticleJournal of anatomy2019
3D statistical model of the pelvic ring - a CT-based statistical evaluation of anatomical variation.
Article in Journal of anatomy, 2019. 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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Who cites it
10 citing papers in PubMed.
- Investigation of Anatomical and Morphological Variations in the Femur of a Chinese Population Using Statistical Shape Model.Orthopaedic surgery · 2026Article
- Computational modelling of acetabular morphology and its implications for cup positioning.Frontiers in bioengineering and biotechnology · 2025Article
- Evaluation of the superior pubic ramus and supra acetabular corridors using statistical shape modelling.Surgical and radiologic anatomy : SRA · 2024Article
- Development of a Statistical Shape Model and Assessment of Anatomical Shape Variations in the Hemipelvis.Journal of clinical medicine · 2023Article
- Plate fixation of the anterior pelvic ring in patients with fragility fractures of the pelvis.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022Article
- Is there a correlation between pelvic incidence and orientation of the acetabulum? An analysis based on a three-dimensional statistical model of the pelvic ring.Journal of anatomy · 2022Article
- Estimation of the relationship between the sacral hiatus and other dorsal sacral parameters using principle component analysis.Surgical and radiologic anatomy : SRA · 2021Article
- Anatomical evaluation of the transpubic screw corridor based on a 3D statistical model of the pelvic ring.Scientific reports · 2021Article
- Asymmetry of the pelvic ring evaluated by CT-based 3D statistical modeling.Journal of anatomy · 2021Article
- Development of generic Asian pelvic bone models using CT-based 3D statistical modelling.Journal of orthopaedic translation · 2020Article
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7 authors.
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Abstract
The pelvic ring is a highly complex construct with a central role for human stability and mobility. The observable interindividual differences in skeletal anatomy are caused by anatomical variation in the innominate bones as well as the sacrum, further to differences in the spatial arrangement of these bones to each other. The aim of this study was to generate a 3D statistical model of the entire pelvic ring in order to analyse the observed interindividual differences and anatomical variation. A series of 50 anonymized pelvic CT scans of uninjured Japanese adults [30 males, 20 females, average age of 74.9 years, standard deviation (SD) 16.9 years] were processed and analysed, resulting in a 3D statistical overall mean model and separate male and female mean models. Principal component analysis (PCA) of the overall statistical model predominantly showed size variation (20.39%) followed by shape variation (14.13%), and a variation of the spatial arrangement of the sacrum to the innominate bones in different anatomical peculiarities (11.39 and 8.85%). In addition, selected internal and external pelvic parameters were manually measured with the objective of further evaluating and quantifying the observed interindividual as well as the known sex-specific differences. A separate statistical model of the grey value distribution based on the given Hounsfield unit (HU) values was calculated for assessing bone mass distribution, thus an indication of bone quality utilizing grey values as a quantitative description of radiodensity was obtained. A consistent pattern of grey value distribution was shown, with the highest grey values observed between the sacro-iliac joint and the acetabulum along the pelvic brim. Low values were present in the sacral ala, in the area of the iliac fossa as well as in the pubic rami next to the symphysis. The present model allows a differentiated analysis of the observed interindividual variation of the pelvic ring and an evaluation of the grey value distribution therein. Besides providing a better understanding of anatomical variation, this model could be also used as a helpful tool for educational purposes, preoperative planning and implant design.
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