Evidence map›Paper›PMID 41425150›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Experimental and numerical replication of blunt ballistic impact on a male thorax surrogate: study of rib fractures and lung injuries predictions.

E Dancerel-Bourlon, R Delille, B Bourel, O Mauzac, N Prat, C Bir, D Sherman, S Roth, F Lauro

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

E Dancerel-BourlonUniversité Polytechnique Hauts-de-France, CNRS, UMR 8201 - LAMIH - Laboratoire d'Automatique de Mécanique et d'Informatique Industrielles et Humaines, Valenciennes, France.
R DelilleUniversité Polytechnique Hauts-de-France, CNRS, UMR 8201 - LAMIH - Laboratoire d'Automatique de Mécanique et d'Informatique Industrielles et Humaines, Valenciennes, France.
B BourelUniversité Polytechnique Hauts-de-France, CNRS, UMR 8201 - LAMIH - Laboratoire d'Automatique de Mécanique et d'Informatique Industrielles et Humaines, Valenciennes, France.
O MauzacFrench Ministry of the Interior, CREL/SAILMI, Paris, France.
N PratInstitut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
C BirDepartment of Biomedical Engineering, Wayne State University, Detroit, MI, United States.
D ShermanDepartment of Biomedical Engineering, Wayne State University, Detroit, MI, United States.
S RothLaboratoire Interdisciplinaire Carnot de Bourgogne, site UTBM, UMR 6303, CNRS /Université de Technologie de Belfort-Montbéliard, Belfort, France.
F LauroUniversité Polytechnique Hauts-de-France, CNRS, UMR 8201 - LAMIH - Laboratoire d'Automatique de Mécanique et d'Informatique Industrielles et Humaines, Valenciennes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prediction of body injuries caused by non-penetrating ballistic impacts is a major challenge. Experiments on biological models are difficult to conduct due to ethical and logistical constraints and on the data that can be collected. These limitations can be overcome by using surrogates, but their results must be correlated with real injuries recorded by ballistic injury databases. The objective of this study is to establish injury prediction curves for rib fractures and lung injuries. Several ballistic impact scenarios from French and American police reports were analyzed. These cases were recreated experimentally using a biofidelic thoracic surrogate, SurHUByx, and numerically using its numerical twin, SurHUByx FEM. These surrogates represent the thorax of a 50th percentile male and were designed to reproduce the biomechanical responses of the human body to ballistic impacts. Then a scaling process adjusted the data according to body mass index to account for individual variability. The optimal cutoff for injury diagnosis was determined using the Youden method. And the injury risk curves were constructed using survival analysis according to ISO guidelines. The results show the risk of injuries according to rib deformation and pulmonary pressure over time. The injury probability was also plotted against the backface deformation. For a standard 44 mm intrusion, the risk of rib fracture was 44.84% and lung injury was 52.45%. These results highlight the limitations of current body armour standards, which may underestimate the probability of internal injuries. This study highlights the value of sharing ballistic injury cases to build a more reliable database. It also highlights the use of surrogates to replicate cases in order to develop injury prediction models.

Indexed as

ballistics impactsbehind armour blunt traumainjury predictionnumerical surrogatephysical surrogatethorax injuries

Identifiers

PMID41425150
PMCPMC12711741

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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.