Evidence map›Paper›PMID 27061872›Full record

ArticlePhysica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)2016

The relationship between cancer detection in mammography and image quality measurements.

Alistair Mackenzie, Lucy M Warren, Matthew G Wallis, Rosalind M Given-Wilson, Julie Cooke, David R Dance, Dev P Chakraborty, Mark D Halling-Brown, Padraig T Looney, Kenneth C Young

Open access · greenAbstract read
In one paragraph

Article in Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  5. Quality assurance in Mammography: An overview.European journal of radiology · 2023
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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

10 authors at 5 institutions in 3 countries.

Alistair MackenzieNational Coordinating Centre for the Physics in Mammography (NCCPM), Level B, St Luke's Wing, Royal Surrey County Hospital, Guildford GU2 7XX, UK. Electronic address: alistairmackenzie@nhs.net.
Lucy M WarrenNational Coordinating Centre for the Physics in Mammography (NCCPM), Level B, St Luke's Wing, Royal Surrey County Hospital, Guildford GU2 7XX, UK. Electronic address: Lucy.Warren@nhs.net.
Matthew G WallisCambridge Breast Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge & NIHR Cambridge Biomedical Research Centre, Cambridge, UK. Electronic address: matthew.wallis1@nhs.net.
Rosalind M Given-WilsonDepartment of Radiology, St George's Healthcare NHS Trust, London, UK. Electronic address: Rosalind.Given-Wilson@stgeorges.nhs.uk.
Julie CookeJarvis Breast Screening and Diagnostic Centre, Guildford, UK. Electronic address: cookejulie@hotmail.com.
David R DanceNational Coordinating Centre for the Physics in Mammography (NCCPM), Level B, St Luke's Wing, Royal Surrey County Hospital, Guildford GU2 7XX, UK; Department of Physics, University of Surrey, Guildford GU2 7XH, UK. Electronic address: daviddance@nhs.net.
Dev P ChakrabortyDepartment of Radiology, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: dpc10ster@gmail.com.
Mark D Halling-BrownScientific Computing, Department of Medical Physics, Royal Surrey County Hospital, Guildford, UK. Electronic address: mhalling-brown@nhs.net.
Padraig T LooneyNational Coordinating Centre for the Physics in Mammography (NCCPM), Level B, St Luke's Wing, Royal Surrey County Hospital, Guildford GU2 7XX, UK. Electronic address: padraig.looney@nhs.net.
Kenneth C YoungNational Coordinating Centre for the Physics in Mammography (NCCPM), Level B, St Luke's Wing, Royal Surrey County Hospital, Guildford GU2 7XX, UK; Cambridge Breast Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge & NIHR Cambridge Biomedical Research Centre, Cambridge, UK. Electronic address: ken.young@nhs.net.
Royal Surrey County Hospital · GBBreast Center · CHCambridge University Hospitals NHS Foundation Trust · GBSt George’s University Hospitals NHS Foundation Trust · GBUniversity of Pittsburgh · US

Funding

Observer Studies Involving Search: Modeling and AnalysisR01EB005243 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHAKRABORTY, DEV P · 2005 to 2013
$2.9M
Cancer Research UK 17321NIBIB NIH HHS R01 EB005243
6 · The paper itself

Abstract

purposeTo investigate the relationship between image quality measurements and the clinical performance of digital mammographic systems.

methodsMammograms containing subtle malignant non-calcification lesions and simulated malignant calcification clusters were adapted to appear as if acquired by four types of detector. Observers searched for suspicious lesions and gave these a malignancy score. Analysis was undertaken using jackknife alternative free-response receiver operating characteristics weighted figure of merit (FoM). Images of a CDMAM contrast-detail phantom were adapted to appear as if acquired using the same four detectors as the clinical images. The resultant threshold gold thicknesses were compared to the FoMs using a linear regression model and an F-test was used to find if the gradient of the relationship was significantly non-zero.

resultsThe detectors with the best image quality measurement also had the highest FoM values. The gradient of the inverse relationship between FoMs and threshold gold thickness for the 0.25mm diameter disk was significantly different from zero for calcification clusters (p=0.027), but not for non-calcification lesions (p=0.11). Systems performing just above the minimum image quality level set in the European Guidelines for Quality Assurance in Breast Cancer Screening and Diagnosis resulted in reduced cancer detection rates compared to systems performing at the achievable level.

conclusionsThe clinical effectiveness of mammography for the task of detecting calcification clusters was found to be linked to image quality assessment using the CDMAM phantom. The European Guidelines should be reviewed as the current minimum image quality standards may be too low.

Indexed as

Breast NeoplasmsCalcinosisFemaleGuidelines as TopicHumansMammographyRadiographic Image EnhancementCancer detectionContrast detailDigital detectorMammography

Identifiers

PMID27061872
PMCPMC4856544
OpenAlexW2324110521

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.