Evidence map›Paper›PMID 40612833›Full record

ArticleCureus2025

Pediatric Local Diagnostic Reference Levels for CT Examinations: A Study Based on the European Guidelines on Diagnostic Reference Levels for Pediatric Imaging.

Vasilis Syrgiamiotis, Agapi Ploussi, Stamatis Rallis, Maria M Gavra, Efthimia Alexopoulou, Kalliopi Platoni, Efstathios P Efstathopoulos

Abstract read
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Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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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

7 authors.

Vasilis Syrgiamiotis2nd Department of Radiology, Medical School, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, GRC.
Agapi Ploussi2nd Department of Radiology, Medical School, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, GRC.
Stamatis Rallis2nd Department of Radiology, Medical School, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, GRC.
Maria M GavraDepartment of Pediatric Radiology (CT, MRI, PET/CT), Aghia Sophia General Children's Hospital, Athens, GRC.
Efthimia Alexopoulou2nd Department of Radiology, Medical School, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, GRC.
Kalliopi Platoni2nd Department of Radiology, Medical School, Attikon University Hospital, National and Kapodistrian University, Athens, GRC.
Efstathios P Efstathopoulos2nd Department of Radiology, Medical School, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, GRC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnostic reference levels (DRLs) are valuable tools for computed tomography (CT) dose optimization. The current study aimed to establish local DRLs (LDRLs) in pediatric patients who underwent head, chest, and abdomen-pelvis (AP) CT examinations after implementing age- and weight-based protocols according to the European Guidelines on Diagnostic Reference Levels for Pediatric Imaging.

methodsThe study included a total of 357 pediatric patients in a 16-slice CT unit at the nation's largest pediatric hospital who underwent head, chest, and AP CT examinations within a six-month period, from winter 2023 to spring 2024. The CT protocols were categorized based on age for head CT examinations and weight for body CT examinations. Patients' demographic characteristics and exposure parameters were recorded. In addition to age and body weight, no contour, anteroposterior, or lateral dimensions were taken into account. We were unable to automatically incorporate size-specific dose estimation (SSDE) into our research because our device did not supply it. DRLs were calculated based on the third quartile of the distribution (75

resultsLDRLs in terms of CTDIvol for head, chest, and AP CT examinations ranged from 15 to 65 mGy, 1 to 5 mGy, and 1 to 7 mGy, respectively. In terms of DLP per single acquisition, LDRLs for head, chest, and AP CT examinations varied from 211 to 787 mGy·cm, 18 to 226 mGy·cm, and 36 to 438 mGy·cm for the various patient groups, respectively. The proposed pediatric DRLs are lower than the European DRLs (EDRLs) except for patients above six years old in head CT examinations and the 50-80 kg weight category in chest CT examinations. DISCUSSION: We adjusted our age-based CT procedures in the current study to comply with the new European recommendations, Radiation Protection No. 185 (RP 185), which recommends weight groups for body CT examinations and particular age groups for head CT examinations. Following these modifications, we utilized the newly established patient groups to gather the dosimetric data (CTDIvol and DLP) in order to determine LDRLs for pediatric patients who had CT exams of the head, chest, and AP. To the best of our knowledge, the suggested LDRLs are the first nationwide attempt, in accordance with pediatric DRLs' age-weight-based methodologies, and constitute a baseline for national DRLs (NDRLs), which will be decided by this country's authorized authority. It sets the baseline for regular clinical audits within the department and encourages other facilities to do the same to standardize CT pediatric procedures. Currently, there are no comparisons throughout the entire nation. At the European level, it seems that a lot of work needs to be done to meet the new requirements.

conclusionThe newly weight-based protocols for body CT examinations provided lower radiation doses than the age-based protocols, better reflecting the wide range of pediatric patients. Further CT optimization is needed for the heavier patients (50-80 kg).

Indexed as

dose reference leveleuropean guidelineslocal diagnostic reference levelpediatric body ct weight groupingpediatric computed tomographypediatric head ct age groupingpediatric populationpediatric radiologypediatric researchradiation dose reduction

Identifiers

PMID40612833
PMCPMC12225548

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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.