Evidence map›Paper›PMID 41185130›Full record

ArticleJournal of anatomy2026

Medullary radius as a major contributor to variance in the proximal femur: Insights from statistical shape modeling.

Stefan Bracher, Benjamin Haas, Elhadi Sariali, Philippe Zysset

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Stefan BracherMusculoskeletal Biomechanics, ARTORG Center for Biomedical Engineering Research, Medical Faculty, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0009-0003-9380-8243
Benjamin HaasSoftware Engineering and Artificial Intelligence, Symbios Orthopédie SA, Yverdon-les-Bains, Switzerland.
Elhadi SarialiService d'orthopédie, hôpital Pitié-Salpêtrière, Paris, France.ORCID https://orcid.org/0000-0003-2634-2466
Philippe ZyssetMusculoskeletal Biomechanics, ARTORG Center for Biomedical Engineering Research, Medical Faculty, University of Bern, Bern, Switzerland.

Funding

Symbios Orthopédie SA
6 · The paper itself

Abstract

Proximal femoral medullary canal morphology is a key determinant of cementless stem fit, primary stability, and load transfer in total hip arthroplasty (THA), yet population-level three-dimensional characterization remains limited. This study was designed to quantify variability in canal geometry and to capture dominant anatomical modes of variation with statistical shape modeling (SSM). Computed tomography data from 763 candidates for primary THA (389 female, 374 male; 20-92 years) were analyzed. Endosteal contours of the proximal canal were processed to build a point-correspondent SSM by principal component analysis (PCA). Five geometric features were evaluated per specimen: equivalent radius (normalized), roundness, major-axis angle (torsion), flare index, and curvature. Substantial inter-individual variability was observed across all features, with differences by sex and age. The first three principal components accounted for 68.4% of total variance, and each showed interpretable associations with at least one geometric feature. Model behavior was examined by synthetic sampling within ±2 SD (specificity) and by 10-fold cross-validation (generalization), indicating faithful reconstruction of real shapes and stable performance on held-out data. These findings provide a compact description of proximal canal shape variation and its key geometric drivers. The resulting population map is expected to support implant selection and sizing in preoperative planning, inform shape-based classification, and guide design envelopes for standard and personalized stems, with potential efficiencies in manufacturing and material use.

Indexed as

FemurRadiusAdultAgedAged, 80 and overArthroplasty, Replacement, HipFemaleHumansMaleMiddle AgedModels, StatisticalPrincipal Component AnalysisTomography, X-Ray ComputedYoung Adultfemoral canalmedullary canalprincipal component analysis (PCA)proximal femurstatistical shape model (SSM)

Identifiers

PMID41185130
PMCPMC13069162

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Registered trials

None linked

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.