A comprehensive approach to simulating bone fractures through bone model fragmentation guided by fracture patterns.

Gema Parra-Cabrera, Francisco Daniel Pérez-Cano, José Javier Reyes-Lagos, Juan José Jiménez-Delgado

Abstract read

In one paragraph

Article in Medical & biological engineering & computing, 2025. 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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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.

Gema Parra-CabreraComputer Science Department, University of Jaén, Campus Las Lagunillas S/N, 23071, Jaén, Spain. gparras@ujaen.es.ORCID http://orcid.org/0000-0003-0364-8657

Francisco Daniel Pérez-CanoDepartment of Computer Languages and Systems, University of Granada, 18071, Granada, Spain.

José Javier Reyes-LagosFacultad de Medicina, Universidad Autónoma del Estado de México, Toluca, 50180, Mexico.

Juan José Jiménez-DelgadoComputer Science Department, University of Jaén, Campus Las Lagunillas S/N, 23071, Jaén, Spain.

Funding

Ministerio de Economía y Competitividad DPI2015-65123-R

6 · The paper itself

Abstract

Bone fractures are a common medical condition requiring accurate simulation for diagnosis and treatment planning. This study introduces a comprehensive method for simulating bone fractures using two-dimensional fracture patterns and real fractured bones applied to three-dimensional bone models. The approach begins with selecting and adjusting a fracture pattern, projecting it onto a 3D bone model and applying triangulation guided by quality metrics to simulate the cortical layer. Perturbation techniques add irregularities to the fracture surface, enhancing realism. Validation involved comparing simulated fragments with real fragments obtained from CT scans to ensure accuracy. Fracture patterns derived from real fragments were applied to non-fractured bone models to generate simulated fragments. A comparison of real and simulated fracture zones verified the minimal deviation in the results. Specifically, the distance between MMAR and MMAS scaled values varies between

Indexed as

Fractures, BoneModels, BiologicalComputer SimulationHumansImaging, Three-DimensionalTomography, X-Ray Computed3D modelsBone fracture simulationClinical validationMedical imagingTriangulation

Identifiers

PMID40856950

DOI10.1007/s11517-025-03428-5

PMCPMC12675794

What OpenQuestion holds

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LicenceCC BY

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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.