Evidence map›Paper›PMID 40319414›Full record

ArticleEuropean radiology experimental2025

Photon-counting CT for bullet material differentiation: applications in forensic radiology.

Benedikt M Schaarschmidt, Jan Hegmanns, Jörg Wulff, Viktor Haase, Sebastian Faby, Felix Baum, Christian Bäumer, Sebastian Zensen, Johannes Haubold, Benno Hartung

Abstract read
In one paragraph

Article in European radiology experimental, 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

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

2 citing papers in PubMed.

  1. Review
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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

10 authors.

Benedikt M SchaarschmidtInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany. benedikt.schaarschmidt@uk-essen.de.ORCID http://orcid.org/0000-0001-6331-7679
Jan HegmannsInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Jörg WulffWest German Proton Therapy Centre Essen (WPE), Essen, Germany.
Viktor HaaseComputed Tomography, Siemens Healthineers AG, Forchheim, Germany.
Sebastian FabyComputed Tomography, Siemens Healthineers AG, Forchheim, Germany.
Felix BaumState Criminal Office North Rhine-Westphalia, Düsseldorf, Germany.
Christian BäumerWest German Proton Therapy Centre Essen (WPE), Essen, Germany.
Sebastian ZensenInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Johannes HauboldInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Benno HartungInstitute of Legal Medicine, University Hospital Essen, Essen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGunshot deaths due to homicide or military encounters are a major health concern. Noninvasive bullet characterization is of major importance for patients with lodged bullets or in mass disasters with multiple cadavers, which must be prioritized for autopsy. Therefore, the aim of this study was to investigate whether brass and lead bullets can be differentiated using photon-counting CT (PCCT).

methodsNine different lead (n = 6) or brass (n = 3) bullets were investigated on a state-of-the-art PCCT using a clinically unavailable research mode. Here, four image sets were reconstructed for different energy thresholds (20, 55, 72, 90 keV). Three circular regions of interest were placed on the 20-keV threshold images by two readers and automatically copied to the three other threshold images. Based on measured HU mean and max values, dual-energy indices (DEI) were calculated for the low/high energy threshold pairs of 20/90, 55/90, and 72/90 keV.

resultsSignificant differences of DEIs between lead and brass projectiles were observed for the 20/90 keV DEI for HU mean ± standard deviation values (Qr40 kernel, lead: -0.085 ± 0.021, brass: 0.024 ± 0.048) and HU max values (Qr40 kernel, lead: -0.093 ± 0.011, brass: 0.023 ± 0.057) (p < 0.001 for both). Differences decreased for the 55/90 and 72/90 keV DEIs between the two projectile materials but remained statistically significant.

conclusionIn this PCCT phantom study, significant differences were observed between lead and brass bullets in the different energy threshold images. RELEVANCE STATEMENT: Photon-counting CT could be a promising tool for bullet identification as significant differences were found in the different energy threshold images for lead and brass bullets, with application in clinical and forensic radiology. KEY POINTS: In emergency settings, noninvasive bullet characterization is of importance for law enforcement. Bullet material characterization can be performed using photon-counting CT. These characteristics can be quantified in the four different energy threshold images.

Indexed as

FirearmsForensic ImagingTomography, X-Ray ComputedWounds, GunshotArmed ConflictsCopperHomicideHumansLeadMass Casualty IncidentsPhotonsZincbrassCopperLeadZincBrassForensic ballisticsLeadTomography (x-ray computed)Wounds (gunshot)

Identifiers

PMID40319414
PMCPMC12050241

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Registered trials

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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.