Evidence map›Paper›PMID 39190061›Full record

ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2024

Automatic virtual reconstruction of acetabular fractures using a statistical shape model.

W A van Veldhuizen, R van Noortwijk, Aml Meesters, K Ten Duis, Rcl Schuurmann, Jppm de Vries, J M Wolterink, Ffa IJpma

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Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2024. 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

W A van VeldhuizenDepartment of Surgery, University Medical Centre Groningen, Groningen, The Netherlands. w.a.van.veldhuizen@umcg.nl.ORCID http://orcid.org/0000-0002-7295-9005
R van NoortwijkDepartment of Surgery, University Medical Centre Groningen, Groningen, The Netherlands.
Aml MeestersDepartment of Surgery, University Medical Centre Groningen, Groningen, The Netherlands.
K Ten DuisDepartment of Surgery, University Medical Centre Groningen, Groningen, The Netherlands.
Rcl SchuurmannDepartment of Surgery, University Medical Centre Groningen, Groningen, The Netherlands.
Jppm de VriesDepartment of Surgery, University Medical Centre Groningen, Groningen, The Netherlands.
J M WolterinkDepartment of Applied Mathematics, Technical Medical Center, University of Twente, Enschede, The Netherlands.
Ffa IJpmaDepartment of Surgery, University Medical Centre Groningen, Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAutomatic virtual reconstruction of complex fractures would be helpful for pre-operative surgical planning. We developed a statistical shape model (SSM) which contains data of 200 intact 3D hemipelves. It allows for quantification of shape differences and is able to reconstruct abnormal shaped pelvises. We applied our SSM to reconstruct elementary and associate type acetabular fractures and assessed the reconstruction performance of the SSM, by comparing the reconstructed shape with the intact contralateral hemipelvis.

methodsIn this retrospective diagnostic imaging study, we used our SSM to virtually reconstruct fractured hemipelves of eighty-three patients with an acetabular fracture. A root mean square error (RMSE) was computed between the reconstructed shape and intact contralateral shape for the whole hemipelvis and for regions relevant for plate-fitting. These plate-fitting relevant regions were defined as: (1) Iliopectineal line length and radius; (2) ischial body line length and radius; (3) acetabular diameter, (4) quadrilateral slope and (5) weight-bearing acetabular dome.

resultsThe median RMSE of the whole hemipelvis of the elementary type fractures was 2.2 (1.7-2.5) mm versus 3.2 (2.2-3.9) mm for the associate type fractures (p < 0.001). The median RMSE for the plate-fitting regions of elementary type fractures was 1.7 (1.4-2.1) mm versus 2.7 (2.0-4.1) mm for associate type fractures (p < 0.001).

conclusionUsing a statistical shape model allows for accurate virtual reconstructions of elementary and associate type acetabular fractures within a clinically acceptable range, especially within regions important for plate-fitting. SSM-based reconstructions can serve as a valuable tool for pre-operative planning in clinical practice, when a template of the contralateral hemipelvis is unavailable.

Indexed as

AcetabulumFractures, BoneImaging, Three-DimensionalTomography, X-Ray ComputedAdultAgedBone PlatesFemaleFracture Fixation, InternalHumansMaleMiddle AgedModels, StatisticalRetrospective StudiesAcetabular fractureContralateral mirroringStatistical shape modelVirtual reconstruction

Identifiers

PMID39190061
PMCPMC11666734

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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.