Evidence map›Paper›PMID 36922419›Full record

ArticlePediatric radiology2023

Dose length product to effective dose coefficients in children.

Philip W Chu, Cameron Kofler, Malini Mahendra, Yifei Wang, Cameron A Chu, Carly Stewart, Bradley N Delman, Brian Haas, Choonsik Lee, Wesley E Bolch and 1 more

Erratum issuedAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Pediatric radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Philip W ChuDepartment of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, Box 0560, San Francisco, CA, 94143, USA.
Cameron KoflerDepartment of Radiology, The University of Chicago, Chicago, IL, USA.
Malini MahendraDepartment of Pediatrics, Division of Pediatric Critical Care, UCSF Benioff Children's Hospital, University of California San Francisco, San Francisco, CA, USA.
Yifei WangDepartment of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, Box 0560, San Francisco, CA, 94143, USA.
Cameron A ChuDepartment of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, Box 0560, San Francisco, CA, 94143, USA.
Carly StewartDepartment of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, Box 0560, San Francisco, CA, 94143, USA.
Bradley N DelmanDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Brian HaasDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.
Choonsik LeeRadiation Epidemiology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Wesley E BolchDepartment of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
Rebecca Smith-BindmanDepartment of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, Box 0560, San Francisco, CA, 94143, USA. Rebecca.Smith-Bindman@ucsf.edu.ORCID http://orcid.org/0000-0003-1972-639X

Funding

Studies of Populations Exposed to Diagnostic Medical RadiationZIACP010222 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI KITAHARA, CARI · 2011 to 2025
$13.1M
CT DOSE CollaboratoryR01CA181191 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SMITH-BINDMAN, REBECCA · 2014 to 2019
$6.2M
NCI NIH HHS R01 CA181191Patient-Centered Outcomes Research Institute CD-1304-7043Patient-Centered Outcomes Research Institute DI-2018C1-11375
6 · The paper itself

Abstract

backgroundThe most accurate method for estimating effective dose (the most widely understood metric for tracking patient radiation exposure) from computed tomography (CT) requires time-intensive Monte Carlo simulation. A simpler method multiplies a scalar coefficient by the widely available scanner-reported dose length product (DLP) to estimate effective dose.

objectiveDevelop pediatric effective dose coefficients and assess their agreement with Monte Carlo simulation. MATERIALS AND

methodsMulticenter, population-based sample of 128,397 pediatric diagnostic CT scans prospectively assembled in 2015-2020 from the University of California San Francisco International CT Dose Registry and the University of Florida library of highly realistic hybrid computational phantoms. We generated effective dose coefficients for seven body regions, stratified by patient age, diameter, and scanner manufacturer. We applied the new coefficients to DLPs to calculate effective doses and assessed their correlations with Monte Carlo radiation transport-generated effective doses.

resultsThe reported effective dose coefficients, generally higher than previous studies, varied by body region and decreased in magnitude with increasing age. Coefficients were approximately 4 to 13-fold higher (across body regions) for patients  <1 year old compared with patients 15-21 years old. For example, head CT (54% of scans) dose coefficients decreased from 0.039 to 0.003 mSv/mGy-cm in patients  <1 year old vs. 15-21 years old. There were minimal differences by manufacturer. Using age-based conversion coefficients to estimate effective dose produced moderate to strong correlations with Monte Carlo results (Pearson correlations 0.52-0.80 across body regions).

conclusionsNew pediatric effective dose coefficients update existing literature and can be used to easily estimate effective dose using scanner-reported DLP.

Indexed as

RadiometryTomography, X-Ray ComputedAdolescentAdultChildComputer SimulationHumansInfantMonte Carlo MethodPhantoms, ImagingRadiation DosageYoung AdultComputed tomographyEffective dose coefficientsRegistry

Identifiers

PMID36922419
PMCPMC10359359

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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.