Evidence map›Paper›PMID 40111725›Full record

ArticleForensic science, medicine, and pathology2025

Quantitative wound ballistic analysis of gelatin head phantoms by computed tomography using the total crack length method.

Vasiliki Chatzaraki, Dominic Gascho, Michael J Thali, Beat P Kneubuehl, Carlo Tappero, Stephan A Bolliger

Abstract read
In one paragraph

Article in Forensic science, medicine, and pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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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

6 authors.

Vasiliki Chatzaraki *Institute of Forensic Medicine, University of Zurich, Zurich, CH-8057, Switzerland.
Dominic Gascho *Institute of Forensic Medicine, University of Zurich, Zurich, CH-8057, Switzerland. dominic.gascho@irm.uzh.ch.ORCID http://orcid.org/0000-0001-9004-4362
Michael J ThaliInstitute of Forensic Medicine, University of Zurich, Zurich, CH-8057, Switzerland.
Beat P Kneubuehlbpk consultancy gmbh, CH-3603, Thun, Switzerland.
Carlo TapperoInstitute of Forensic Medicine, University of Zurich, Zurich, CH-8057, Switzerland.
Stephan A BolligerInstitute of Forensic Medicine, University of Zurich, Zurich, CH-8057, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gelatin-based phantoms are appropriate simulants of human soft tissue and can be used for ballistic experiments. Computed tomography (CT) is useful for quantitative wound ballistics analysis and has been applied to gelatin blocks. This study aimed to create total crack length (TCL) profiles along the penetration depth in head phantoms after ballistic experiments with different types of ammunition at varying distances using CT data. Sixteen commercially available gelatin-based head phantoms were subjected to ballistic testing with six different types of ammunition. Nine were contact shots, while seven were fired from a 15-meter distance. Following the experiments, CT scans of the phantoms were performed. The TCL, a secondary effect of the temporary cavity, was measured based on the CT data. All phantoms exhibited perforation shots. The CT data enabled measurements along the penetration depth for each phantom. Metal artifacts caused by small projectile fragments along the path did not interfere with the measurements. The resulting TCL curves for the different ammunition types demonstrated distinct differences. TCL measurements in gelatin-based head phantoms are feasible and provide values proportional to the transferred energy at a given penetration depth for different ammunition types and shooting distances.

Indexed as

Forensic BallisticsHead Injuries, PenetratingPhantoms, ImagingTomography, X-Ray ComputedWounds, GunshotGelatinHumansGelatinComputed tomographyCTForensic imagingOrdnance gelatinTotal crack lengthWound ballistics

Identifiers

PMID40111725
PMCPMC12491355

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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.