Evidence map›Paper›PMID 37798408›Full record

ArticleEuropean radiology2024

Dose length product to effective dose coefficients in adults.

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

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

11 authors at 6 institutions in 1 country.

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.
Brian HaasDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Choonsik LeeRadiation Epidemiology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, 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.
Malini MahendraDepartment of Pediatrics, Division of Pediatric Critical Care, UCSF Benioff Children's Hospital, University of California at San Francisco, San Francisco, USA.
Bradley N DelmanDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 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
University of California, San Francisco · USLee University · USIcahn School of Medicine at Mount Sinai · USNational Institutes of Health · USUniversity of Chicago · USUniversity of Florida · US

Funding

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

objectivesThe most accurate method for estimating patient effective dose (a principal 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. We developed new adult effective dose coefficients using actual patient scans and assessed their agreement with Monte Carlo simulation.

methodsA multicenter sample of 216,906 adult CT scans was prospectively assembled in 2015-2020 from the University of California San Francisco International CT Dose Registry and the University of Florida library of computational phantoms. We generated effective dose coefficients for eight body regions, stratified by patient sex, diameter, and scanner manufacturer. We applied the new coefficients to DLPs to calculate effective doses and assess their correlations with Monte Carlo radiation transport-generated effective dose.

resultsEffective dose coefficients varied by body region and decreased in magnitude with increasing patient diameter. Coefficients were approximately twofold higher for torso scans in smallest compared with largest diameter categories. For example, abdomen and pelvis coefficients decreased from 0.027 to 0.013 mSv/mGy-cm between the 16-20 cm and 41+ cm categories. There were modest but consistent differences by sex and manufacturer. Diameter-based coefficients used to estimate effective dose produced strong correlations with the reference standard (Pearson correlations 0.77-0.86). The reported conversion coefficients differ from previous studies, particularly in neck CT.

conclusionsNew effective dose coefficients derived from empirical clinical scans can be used to easily estimate effective dose using scanner-reported DLP. CLINICAL RELEVANCE STATEMENT: Scalar coefficients multiplied by DLP offer a simple approximation to effective dose, a key radiation dose metric. New effective dose coefficients from this study strongly correlate with gold standard, Monte Carlo-generated effective dose, and differ somewhat from previous studies. KEY POINTS: • Previous effective dose coefficients were derived from theoretical models rather than real patient data. • The new coefficients (from a large registry/phantom library) differ from previous studies. • The new coefficients offer reasonably reliable values for estimating effective dose.

Indexed as

Models, TheoreticalRadiometryAdultComputer SimulationFemaleHumansMaleMonte Carlo MethodPhantoms, ImagingRadiation DosageTomography, X-Ray ComputedAdultsDose length product conversionEffective dose coefficients

Identifiers

PMID37798408
PMCPMC13373982
OpenAlexW4387358592

What OpenQuestion holds

Textmetadata
LicenceTDM
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.