Evidence map›Paper›PMID 28134567›Full record

ArticleThe British journal of radiology2017

Blurred digital mammography images: an analysis of technical recall and observer detection performance.

Wang Kei Ma, Rita Borgen, Judith Kelly, Sara Millington, Beverley Hilton, Rob Aspin, Carla Lança, Peter Hogg

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Article in The British journal of radiology, 2017. 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
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Wang Kei Ma1 Department of Radiography, University of Salford, Salford, UK.
Rita Borgen2 East Lancashire Breast Screening Unit, Burnley General Hospital, Burnley, UK.
Judith Kelly3 Department of Radiography, Countess of Chester Hospital NHS Foundation Trust, Chester, UK.
Sara Millington3 Department of Radiography, Countess of Chester Hospital NHS Foundation Trust, Chester, UK.
Beverley Hilton2 East Lancashire Breast Screening Unit, Burnley General Hospital, Burnley, UK.
Rob Aspin4 Department of Computer Science and Software Engineering, University of Salford, Salford, UK.
Carla Lança5 Department of Sciences and Rehabilitation Technologies, Lisbon School of Health Technology, Lisbon, Portugal.
Peter Hogg1 Department of Radiography, University of Salford, Salford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBlurred images in full-field digital mammography are a problem in the UK Breast Screening Programme. Technical recalls may be due to blurring not being seen on lower resolution monitors used for review. This study assesses the visual detection of blurring on a 2.3-MP monitor and a 5-MP report grade monitor and proposes an observer standard for the visual detection of blurring on a 5-MP reporting grade monitor.

methods28 observers assessed 120 images for blurring; 20 images had no blurring present, whereas 100 images had blurring imposed through mathematical simulation at 0.2, 0.4, 0.6, 0.8 and 1.0 mm levels of motion. Technical recall rate for both monitors and angular size at each level of motion were calculated. χ

resultsThe technical recall rate for 2.3- and 5-MP monitors are 20.3% and 9.1%, respectively. The angular size for 0.2- to 1-mm motion varied from 55 to 275 arc s. The minimum amount of motion for visual detection of blurring in this study is 0.4 mm. For 0.2-mm simulated motion, there was no significant difference [χ

conclusionAccording to this study, monitors ≤2.3 MP are not suitable for technical review of full-field digital mammography images for the detection of blur. Advances in knowledge: This research proposes the first observer standard for the visual detection of blurring.

Indexed as

BreastBreast NeoplasmsFemaleHumansMammographyObserver VariationReproducibility of ResultsUnited Kingdom

Identifiers

PMID28134567
PMCPMC5601529

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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.