Evidence map›Paper›PMID 41193915›Full record

ArticleEmergency radiology2025

Setting the benchmark : morocco's first local diagnostic reference levels by clinical indication for pediatric computed tomography across all protocols.

H Sekkat, A Khallouqi, A Halimi, Y Madkouri, O El Rhazouani

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Article in Emergency radiology, 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

5 authors.

H SekkatSciences and Engineering of Biomedicals, Biophysics and Health Laboratory, Higher Institute of Health Sciences, Hassan First University, Settat, 26000, Morocco. sekkat.isss@uhp.ac.ma.ORCID http://orcid.org/0009-0005-1530-4837
A KhallouqiSciences and Engineering of Biomedicals, Biophysics and Health Laboratory, Higher Institute of Health Sciences, Hassan First University, Settat, 26000, Morocco.
A HalimiSciences and Engineering of Biomedicals, Biophysics and Health Laboratory, Higher Institute of Health Sciences, Hassan First University, Settat, 26000, Morocco.
Y MadkouriLaboratory of Electronic Systems, Information Processing, Mechanics and Energetics, Faculty of Sciences, University Ibn Tofail Kenitra, Kenitra, Morocco.
O El RhazouaniSciences and Engineering of Biomedicals, Biophysics and Health Laboratory, Higher Institute of Health Sciences, Hassan First University, Settat, 26000, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOptimizing radiation protection in pediatric computed tomography (CT) requires diagnostic reference levels (DRLs) adapted to local practice and clinical indication. This study establishes the first Moroccan pediatric CT DRLs stratified by anatomical protocol and diagnostic purpose.

methodsA descriptive-analytical study was conducted at a single center including 224 children (≤ 15 years) who underwent CT examinations across four main protocols: head, thorax, abdomino-pelvic and thoraco-abdomino-pelvic (TAP). Dosimetric indices (CTDI

resultsHead CT was the most frequent (54%), dominated by trauma (63.6%) with optimized exposure (median CTDI

conclusionClinical indication significantly influences pediatric CT dose, with up to five-fold variation across subgroups. The DRLs established here provide the first national benchmarks for Morocco, supporting protocol optimization, radioprotection policy development and ALARA-compliant pediatric imaging practice.

Indexed as

BenchmarkingDiagnostic Reference LevelsTomography, X-Ray ComputedAdolescentChildChild, PreschoolFemaleHumansInfantMaleMoroccoRadiation DosageRadiation ProtectionClinical indicationCTDRLPediatric

Identifiers

PMID41193915

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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.