Show simple item record

dc.contributor.authorWang, C
dc.contributor.authorBrentnall, AR
dc.contributor.authorMainprize, J
dc.contributor.authorYaffe, M
dc.contributor.authorCuzick, J
dc.contributor.authorHarvey, JA
dc.date.accessioned2020-06-02T11:28:06Z
dc.date.available2020-01-17
dc.date.available2020-06-02T11:28:06Z
dc.date.issued2020-02-12
dc.identifier.citationChao Wang, Adam R. Brentnall, James G. Mainprize, Martin Yaffe, Jack Cuzick, and Jennifer A. Harvey "External validation of a mammographic texture marker for breast cancer risk in a case–control study," Journal of Medical Imaging 7(1), 014003 (12 February 2020). https://doi.org/10.1117/1.JMI.7.1.014003en_US
dc.identifier.issn2329-4302
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/64579
dc.description.abstractPurpose: The pattern of dense tissue on a mammogram appears to provide additional information than overall density for risk assessment, but there has been little consistency in measures of texture identified. The purpose of this study is thus to validate a mammographic texture feature developed from a previous study in a new setting. Approach: A case-control study (316 invasive cases and 1339 controls) of women in Virginia, USA was used to validate a mammographic texture feature (MMTEXT) derived in a independent previous study. Analysis of predictive ability was adjusted for age, demographic factors, questionnaire risk factors (combined through the Tyrer-Cuzick model), and optionally BI-RADS breast density. Odds ratios per interquartile range (IQ-OR) in controls were estimated. Subgroup analysis assessed heterogeneity by mode of cancer detection (94 not detected by mammography). Results: MMTEXT was not a significant risk factor at 0.05 level after adjusting for classical risk factors ( IQ - OR = 1.16 , 95%CI 0.92 to 1.46), nor after further adjustment for BI-RADS density ( IQ - OR = 0.92 , 95%CI 0.76 to 1.10). There was weak evidence that MMTEXT was more predictive for cancers that were not detected by mammography (unadjusted for density: IQ - OR = 1.46 , 95%CI 0.99 to 2.15 versus 1.03, 95%CI 0.79 to 1.35, Phet 0.10; adjusted for density: IQ - OR = 1.11 , 95%CI 0.70 to 1.77 versus 0.76, 95%CI 0.55 to 1.05, Phet 0.21). Conclusions: MMTEXT is unlikely to be a useful imaging marker for invasive breast cancer risk assessment in women attending mammography screening. Future studies may benefit from a larger sample size to confirm this as well as developing and validating other measures of risk. This negative finding demonstrates the importance of external validation.en_US
dc.format.extent014003
dc.languageeng
dc.publisherSPIEen_US
dc.relation.ispartofJournal of Medical Imaging
dc.rightsPublished by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectbreast densityen_US
dc.subjectmammographyen_US
dc.subjectrisk assessmenten_US
dc.subjecttextureen_US
dc.subjectvalidationen_US
dc.titleExternal validation of a mammographic texture marker for breast cancer risk in a case-control study.en_US
dc.typeArticleen_US
dc.rights.holder© The Authors.
dc.identifier.doi10.1117/1.JMI.7.1.014003
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/32064299en_US
pubs.issue1en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.publisher-urlhttps://doi.org/10.1117/1.JMI.7.1.014003
pubs.volume7en_US
dcterms.dateAccepted2020-01-17
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Except where otherwise noted, this item's license is described as Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.