Evidence map›Paper›PMID 27617767›Full record

ArticlePhysics in medicine and biology2016

Dosimetry in x-ray-based breast imaging.

David R Dance, Ioannis Sechopoulos

Open access · greenAbstract read
In one paragraph

Article in Physics in medicine and biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
9.5field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 110 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

2 authors at 2 institutions in 2 countries.

David R DanceNational Co-ordinating Centre for the Physics of Mammography (NCCPM), Royal Surrey County Hospital, Guildford GU2 7XX, UK.
Ioannis SechopoulosDepartment of Radiology and Nuclear Medicine, Radboud University Medical Centre, PO Box 9101, 6500 HB Nijmegen, The Netherlands.
Radboud University Medical Center · NLUniversity of Surrey · GB

Funding

uPAR Targeted in Vivo Molecular Magnetic Resonance Imaging of....P50CA128301 · NCI · EMORY UNIVERSITY · PI SCHUSTER, DAVID MICHAEL · 2008 to 2012
$6.8M
Image Quality Improvement and Breast Compression Reduction in Breast TomosynthesiR01CA163746 · NCI · RADBOUD UNIVERSITY NIJMEGEN MED CTR · PI SECHOPOULOS, IOANNIS · 2012 to 2015
$1.2M
Image Quality Improvement and Performance Assessment of Dedicated Breast CTR01CA181171 · NCI · STICHTING RADBOUD UNIVERSITAIR MEDISCH CENTRUM I.O. · PI SECHOPOULOS, IOANNIS · 2015 to 2020
$1.1M
Cancer Research UK 17321Cancer Research UK C30682/A17321NCI NIH HHS P50 CA128301NCI NIH HHS R01 CA163746NCI NIH HHS R01 CA181171
6 · The paper itself

Abstract

The estimation of the mean glandular dose to the breast (MGD) for x-ray based imaging modalities forms an essential part of quality control and is needed for risk estimation and for system design and optimisation. This review considers the development of methods for estimating the MGD for mammography, digital breast tomosynthesis (DBT) and dedicated breast CT (DBCT). Almost all of the methodology used employs Monte Carlo calculated conversion factors to relate the measurable quantity, generally the incident air kerma, to the MGD. After a review of the size and composition of the female breast, the various mathematical models used are discussed, with particular emphasis on models for mammography. These range from simple geometrical shapes, to the more recent complex models based on patient DBCT examinations. The possibility of patient-specific dose estimates is considered as well as special diagnostic views and the effect of breast implants. Calculations using the complex models show that the MGD for mammography is overestimated by about 30% when the simple models are used. The design and uses of breast-simulating test phantoms for measuring incident air kerma are outlined and comparisons made between patient and phantom-based dose estimates. The most widely used national and international dosimetry protocols for mammography are based on different simple geometrical models of the breast, and harmonisation of these protocols using more complex breast models is desirable.

Indexed as

Phantoms, ImagingBreastFemaleHumansMammographyModels, TheoreticalMonte Carlo MethodQuality ControlRadiation DosageRadiometryTomography, X-Ray Computed

Identifiers

PMID27617767
PMCPMC5061150
OpenAlexW2520248997

What OpenQuestion holds

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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.