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dc.contributor.authorRauscher, Garth H
dc.contributor.authorConant, Emily F
dc.contributor.authorKhan, Jenna A
dc.contributor.authorBerbaum, Michael L
dc.date.accessioned2015-08-13T23:22:04Z
dc.date.available2015-08-13T23:22:04Z
dc.date.issued2013-04
dc.identifier.bibliographicCitationRauscher, G. H., Conant, E. F., Khan, J. A. and Berbaum, M. L. Mammogram image quality as a potential contributor to disparities in breast cancer stage at diagnosis: an observational study. Bmc Cancer. 2013. 13. DOI: 10.1186/1471-2407-13-208en_US
dc.identifier.issn1471-2407
dc.identifier.urihttp://hdl.handle.net/10027/19612
dc.description© 2013 Rauscher et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.description.abstractBackground: In an ongoing study of racial/ethnic disparities in breast cancer stage at diagnosis, we consented patients to allow us to review their mammogram images, in order to examine the potential role of mammogram image quality on this disparity. Methods: In a population-based study of urban breast cancer patients, a single breast imaging specialist (EC) performed a blinded review of the index mammogram that prompted diagnostic follow-up, as well as recent prior mammograms performed approximately one or two years prior to the index mammogram. Seven indicators of image quality were assessed on a five-point Likert scale, where 4 and 5 represented good and excellent quality. These included 3 technologist-associated image quality (TAIQ) indicators (positioning, compression, sharpness), and 4 machine associated image quality (MAIQ) indicators (contrast, exposure, noise and artifacts). Results are based on 494 images examined for 268 patients, including 225 prior images. Results: Whereas MAIQ was generally high, TAIQ was more variable. In multivariable models of sociodemographic predictors of TAIQ, less income was associated with lower TAIQ (p < 0.05). Among prior mammograms, lower TAIQ was subsequently associated with later stage at diagnosis, even after adjusting for multiple patient and practice factors (OR = 0.80, 95% CI: 0.65, 0.99). Conclusions: Considerable gains could be made in terms of increasing image quality through better positioning, compression and sharpness, gains that could impact subsequent stage at diagnosis.en_US
dc.description.sponsorshipThis work was funded by grants to the University of Illinois at Chicago from the Illinois division of the American Cancer Society, and the Illinois Department of Public Health (#86280168). Additional funding was provided by the National Cancer Institute (Grant # 2P50CA106743-06); the National Center for Minority Health Disparities (Grant # 1 P60MD003424-01); and the Agency for Health Research and Quality (Grant # 1 R01 HS018366-01A1).en_US
dc.language.isoen_USen_US
dc.publisherBioMed Centralen_US
dc.subjectBreast canceren_US
dc.subjectDisparitiesen_US
dc.subjectScreeningen_US
dc.titleMammogram image quality as a potential contributor to disparities in breast cancer stage at diagnosis: an observational studyen_US
dc.typeArticleen_US


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