Evidence map›Paper›PMID 41711873›Full record

Observational studyNeuroradiology2026

Intra-Individual variation in radiation dose of pediatric head CT: implications for dose optimization.

Florian Behr, Daniel Rosok, Yannick Laurent Thal, Marcel Alexander Drews, Arian Felix Moradians, Marcel Opitz, Denise Bos, Bernd Schweiger, Andrea Gangfuss, Martin Köhrmann and 5 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Neuroradiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

15 authors.

Florian BehrDepartment of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany. behr.florian@gmx.de.
Daniel RosokInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Yannick Laurent ThalInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Marcel Alexander DrewsInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Arian Felix MoradiansInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Marcel OpitzInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Denise BosInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Bernd SchweigerInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Andrea GangfussDepartment of Pediatric Neurology, University Hospital Essen, Essen, Germany.
Martin KöhrmannDepartment of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Essen, Germany.
Johannes HauboldInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Yan LiInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Michael ForstingInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Cornelius DeuschlInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Sebastian ZensenInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePediatric patients undergoing head CT are particularly vulnerable to radiation exposure and its potential long-term effects. Dose optimization is especially critical when multiple scans are required, where dose should remain consistently low and stable. This study aims to analyze inter-and intra-individual variation of radiation dose of head CT in pediatric patients.

methodsIn this retrospective observational single-center study, radiation dose data from 411 head CTs of 123 patients (male 68; female 55) at two different CT devices with similar technical parameters were analyzed. Four age groups (3–12 months, 1–5, 5–10 and 10–15 years) were evaluated. Volume-weighted CT dose index (CTDIvol), dose-length product (DLP) and effective dose (ED) were analyzed and compared inter- and intra-individually.

resultsRadiation dose varied substantially between scanners, with median CTDIvol differences of up to 34.7% in the age group 3–12 months (7.0 mGy) and 17.2% in the age group 1–5 years (4.2 mGy). Median intra-individual dose variation across scanners was 28.6% (IQR 3.5–30.9%) in infants aged 3–12 months, 15.9% (IQR 6.8–24.8%) in children aged 1–5 years, 7.7% (IQR 3.8–15.2%) in 5–10 years, and 6.0% (IQR 2.7–13.1%) in 10–15 years. When repeated on the same scanner, intra-individual variation decreased, yet residual differences of up to 10.1% (CTDIvol) and 11.9% (DLP/ED) persisted, highlighting the need for scanner-specific monitoring.

conclusionSignificant dose variation persists in pediatric head CT, both across scanners and within patients. Scanner-specific dose management, consistent device use, and systematic monitoring are essential to improve consistency and support optimization in pediatric imaging.

Indexed as

HeadRadiation DosageTomography, X-Ray ComputedAdolescentChildChild, PreschoolFemaleHumansInfantMaleRetrospective StudiesComputed tomographyCT protocol optimizationDiagnostic reference levels (DRLs)Dose monitoringPediatric imagingRadiation dose variation

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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.