Evidence map›Paper›PMID 30371899›Full record

ArticleRadiation protection dosimetry2019

ORGAN DOSE ESTIMATION ACCOUNTING FOR UNCERTAINTY FOR PEDIATRIC AND YOUNG ADULT CT SCANS IN THE UNITED KINGDOM.

Choonsik Lee, Neige Journy, Brian E Moroz, Mark Little, Richard Harbron, Kieran McHugh, Mark Pearce, Amy Berrington de Gonzalez

Abstract read
In one paragraph

Article in Radiation protection dosimetry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

8 authors.

Choonsik LeeDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD, USA.
Neige JournyDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD, USA.
Brian E MorozDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD, USA.
Mark LittleDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD, USA.
Richard HarbronInstitute of Health & Society, Newcastle University, Newcastle upon Tyne, UK.
Kieran McHughRadiology Department, Great Ormond Street Hospital for Children NHS Trust, London, UK.
Mark PearceInstitute of Health & Society, Newcastle University, Newcastle upon Tyne, UK.
Amy Berrington de GonzalezDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD, USA.

Funding

Studies of Populations Exposed to Diagnostic Medical RadiationZIACP010222 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI KITAHARA, CARI · 2011 to 2025
$13.1M
6 · The paper itself

Abstract

Since our previous publication of organ dose for the pediatric CT cohort in the UK, there have been questions about the magnitude of uncertainty in our dose estimates. We therefore quantified shared and unshared uncertainties in empirical CT parameters extracted from 1073 CT films (1978-2008) from 36 hospitals in the study and propagated these uncertainties into organ doses using Monte Carlo random sampling and NCICT organ dose calculator. The average of 500 median brain and marrow doses for the full cohort was 35 (95% confidence interval: 30-40) mGy and 6 (5-7) mGy, respectively. We estimated that shared uncertainty contributed ~99% of coefficient of variation of median brain doses in brain scans compared to unshared uncertainty (1% contribution). We found that the previous brain doses were slightly underestimated for <1990 and overestimated for >1990 compared to the results in the current study due to the revised CTDI models based on CT films.

Indexed as

AlgorithmsPhantoms, ImagingAdolescentAdultChildChild, PreschoolCohort StudiesComputer SimulationFemaleHumansImage Processing, Computer-AssistedInfantInfant, NewbornMaleMonte Carlo MethodOrgan Specificity

Identifiers

PMID30371899
PMCPMC6657815

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.