Evidence map›Paper›PMID 42879062›Full record

ArticleAnnals of biomedical engineering2026

Automated 3D Analysis of Hip Morphology in a Young Adult Population.

M A Kamphuis, E H G Oei, J Runhaar, D F Hanff, J J Tolk, R Agricola, S M A Bierma-Zeinstra, S Klein, J Hirvasniemi

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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

M A KamphuisDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
E H G OeiDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
J RunhaarDepartment of General Practice, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
D F HanffDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
J J TolkDepartment of Orthopaedics and Sports Medicine, Erasmus MC University Medical Center Rotterdam, Sophia Children's Hospital, Rotterdam, The Netherlands.
R AgricolaDepartment of Orthopaedics and Sports Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
S M A Bierma-ZeinstraDepartment of General Practice, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
S KleinDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
J HirvasniemiDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands. j.hirvasniemi@erasmusmc.nl.ORCID http://orcid.org/0000-0001-9278-4719

Funding

European Research Council 101054778
6 · The paper itself

Abstract

purposeAlthough many factors contribute to the development of hip OA, structural findings, such as acetabular dysplasia, are recognized as strong contributing factors to early degenerative changes. However, conventional two-dimensional imaging cannot fully capture the joint's three-dimensional anatomy. This study aimed to develop and validate an automated MRI-based method for 3D hip morphology analysis.

methodsMRI data from 2,454 participants in the Generation R Cohort (1,199 males; 1,255 females; mean age 18.4 years; mean BMI 22.7 kg/m

resultsThe model achieved Dice scores of 0.97 for femoral bone, 0.90 for acetabular bone, 0.76 for femoral cartilage, and 0.77 for acetabular cartilage. Reference ranges were established for all biomarkers. Significant differences were observed between males and females and across BMI groups.

conclusionAutomated 3D hip morphology analysis using MRI is feasible and reliable. The generated reference values enhance understanding of hip development and anatomical variation in young adults and support future large-scale, reproducible assessments. All developed code is made openly available at https://gitlab.com/radiology/msk/genr/hip/hip-segmentation-and-biomarkers.

Indexed as

AIAutomatic segmentationHip jointMorphology analysisMRIReferences values

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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.