Evidence map›Paper›PMID 30656719›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2019

Statistical shape modeling of femur shape variability in female patients with hip dysplasia.

Brecca M M Gaffney, Travis J Hillen, Jeffrey J Nepple, John C Clohisy, Michael D Harris

Open access · greenAbstract read
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
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

24 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  6. ShapeMed-Knee: A Dataset and Neural Shape Model Benchmark for Modeling 3D Femurs.medRxiv : the preprint server for health sciences · 2024
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  14. Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach.Statistical atlases and computational models of the heart. STACOM (Workshop) · 2022
    Article
  15. Prediction of femoral head coverage from articulated statistical shape models of patients with developmental dysplasia of the hip.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022
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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

5 authors at 1 institution in 1 country.

Brecca M M GaffneyProgram in Physical Therapy, Washington University School of Medicine in St. Louis, St. Louis, Missouri.
Travis J HillenDepartment of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri.
Jeffrey J NeppleDepartment of Orthopaedic Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri.
John C ClohisyDepartment of Orthopaedic Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri.
Michael D HarrisProgram in Physical Therapy, Washington University School of Medicine in St. Louis, St. Louis, Missouri.
Washington University in St. Louis · US

Funding

TRD - VisualizationP41GM103545 · NIGMS · UNIVERSITY OF UTAH · PI JURRUS, ELIZABETH · 2012 to 2019
$9.7M
The Role of the Osteoblast Secretome in Bone FormationP30AR057235 · NIAMS · WASHINGTON UNIVERSITY · PI SILVA, MATTHEW J · 2009 to 2018
$5.7M
DOCTORAL TRAINING PROGRAM IN MOVEMENT SCIENCET32HD007434 · NICHD · WASHINGTON UNIVERSITY · PI Michael D Harris, Catherine Lang · 1993 to 2026
$4.2M
Population-Based Shape and Biomechanical Analysis of Hip PathoanatomyR01EB016701 · NIBIB · UNIVERSITY OF UTAH · PI ANDERSON, ANDREW EDWARD · 2013 to 2023
$3.6M
Muscle Geometry and its Influence on Function in Patients with Developmental Dysplasia of the HipK01AR072072 · NIAMS · WASHINGTON UNIVERSITY · PI HARRIS, MICHAEL D · 2018 to 2022
$554k
NIAMS NIH HHS K01 AR072072NIAMS NIH HHS P30 AR057235NIBIB NIH HHS R01 EB016701NICHD NIH HHS T32 HD007434NIGMS NIH HHS P41 GM103545
6 · The paper itself

Abstract

Although increasing evidence suggests that abnormal femur geometry in developmental dysplasia of the hip (DDH) may contribute to intra-articular damage and the development of hip osteoarthritis, a comprehensive 3D description of femoral abnormalities in DDH remains incomplete. Statistical shape modeling (SSM) was used to quantify three-dimensional (3D) geometric variation among femurs in female patients with DDH and control subjects. SSM correspondence points (n = 8,192) were placed on each femur using a gradient descent energy function to derive mean DDH and control femoral shapes and principal component analysis (PCA) was then used to describe shape variation. PCA results were associated with common 2D radiographic measures of femur shape using general linear models. For patients with DDH, the first eight principal components (modes) captured 90.9% of the cumulative variance accounted for (VAF). Notably, mode 2 captured 23.6% VAF and described variation in femoral version, the neck-shaft angle, and femoral neck length, while mode 3 captured 16.4% VAF and described variation in femoral version, femoral head size, and femoral offset. SSM captured complex geometric deformities in DDH, which may not be fully described by 2D measures of the acetabulum and proximal femur alone. By determining the primary shape variations among femurs in cases of DDH, SSM may further understanding of pathologies on the femoral side of dysplastic hips, in context with more commonly recognized acetabular deformities. © 2019 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res.

Indexed as

AdolescentAdultFemaleFemurHip Dislocation, CongenitalHumansImaging, Three-DimensionalLinear ModelsMiddle AgedPrincipal Component AnalysisRetrospective StudiesYoung Adultdevelopmental dysplasia of the hipfemur geometryhip dysplasiastatistical shape modeling

Identifiers

PMID30656719
PMCPMC6613213
OpenAlexW2909381943

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.