Association of Mammographic Density with the Pathology of Subsequent Breast Cancer among Postmenopausal Women

Ghosh, Karthik; Brandt, Kathleen R.; Sellers, Thomas A.; Reynolds, Carol; Scott, Christopher G.; Maloney, Shaun D.; Carston, Michael J.; Pankratz, V. Shane; Vachon, Celine M.

doi:10.1158/1055-9965.epi-07-0559

Cited by 57 publications

(45 citation statements)

References 24 publications

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“…It was reported that ER-positive compared to negative tumours were more frequently associated with dense breast tissue. By contrast, breast tissue density was not associated with the expression of ER in the present study, which is consistent with the findings of with Ghosh et al (22). This study reported that the overexpression of IGF-1R may be significantly associated with dense breast tissue on mammography.…”

Section: Os Dfs -----------------------------------------------------supporting

confidence: 93%

“…terms of intra-and inter-observer variability. According to comparative studies on different mammographic readings, no significant difference was found between the BI-RADS-based group and the other group using computer-based calculation of absolute areas in terms of several clinicopathological factors (21,22). In view of mammographic timing, screening at a certain point in time during the menstrual cycle possibly ensures a more accurate measurement of density; however, in the majority of the cases, density does not vary significantly depending on different points of time during the menstrual cycle.…”

Section: Discussionmentioning

confidence: 99%

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Insulin-like growth factor 1 receptor expression in breast cancer tissue and mammographic density

Sun

Yun

Song

et al. 2015

Molecular and Clinical Oncology

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Section: Os Dfs -----------------------------------------------------supporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Insulin-like growth factor 1 receptor expression in breast cancer tissue and mammographic density

Sun

Yun

Song

et al. 2015

Molecular and Clinical Oncology

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“…4,[94][95][96][97][98][99][100] Women with high breast density have been reported to have a four to six times increased risk of developing breast cancer compared with those with low breast density, 95,[101][102][103][104][105] and high breast density has also been linked to an increased risk of cancers not detected at screening, 4,8,96,106,107 larger tumour size [108][109][110] and positive lymph nodes. 109,[111][112][113] The underlying cause of these links are thought to be numerous, and early studies hypothesised that a significant reason for an increase in breast cancer incidence with higher density breasts was as a result of a 'masking bias' that made mammographic screening less sensitive to cancer detection.…”

Section: Introductionmentioning

confidence: 99%

The TOMMY trial: a comparison of TOMosynthesis with digital MammographY in the UK NHS Breast Screening Programme – a multicentre retrospective reading study comparing the diagnostic performance of digital breast tomosynthesis and digital mammography with digital mammography alone

Gilbert

Tucker

Gillan

et al. 2015

Health Technology Assessment

157

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The TOMMY trial: a comparison of TOMosynthesis with digital MammographY in the UK NHS Breast Screening Programme -a multicentre retrospective reading study comparing the diagnostic performance of digital breast tomosynthesis and digital mammography with digital mammography alone This journal is a member of and subscribes to the principles of the Committee on Publication Ethics (COPE) (www.publicationethics.org/).Editorial contact: nihredit@southampton.ac.ukThe full HTA archive is freely available to view online at www.journalslibrary.nihr.ac.uk/hta. Print-on-demand copies can be purchased from the report pages of the NIHR Journals Library website: www.journalslibrary.nihr.ac.uk Criteria for inclusion in the Health Technology Assessment journalReports are published in Health Technology Assessment (HTA) if (1) they have resulted from work for the HTA programme, and (2) they are of a sufficiently high scientific quality as assessed by the reviewers and editors.Reviews in Health Technology Assessment are termed 'systematic' when the account of the search appraisal and synthesis methods (to minimise biases and random errors) would, in theory, permit the replication of the review by others. HTA programmeThe HTA programme, part of the National Institute for Health Research (NIHR), was set up in 1993. It produces high-quality research information on the effectiveness, costs and broader impact of health technologies for those who use, manage and provide care in the NHS. 'Health technologies' are broadly defined as all interventions used to promote health, prevent and treat disease, and improve rehabilitation and long-term care.The journal is indexed in NHS Evidence via its abstracts included in MEDLINE and its Technology Assessment Reports inform National Institute for Health and Care Excellence (NICE) guidance. HTA research is also an important source of evidence for National Screening Committee (NSC) policy decisions.For more information about the HTA programme please visit the website: http://www.nets.nihr.ac.uk/programmes/hta This reportThe research reported in this issue of the journal was funded by the HTA programme as project number 09/22/182. The contractual start date was in December 2010. The draft report began editorial review in February 2014 and was accepted for publication in August 2014. The authors have been wholly responsible for all data collection, analysis and interpretation, and for writing up their work. The HTA editors and publisher have tried to ensure the accuracy of the authors' report and would like to thank the reviewers for their constructive comments on the draft document. However, they do not accept liability for damages or losses arising from material published in this report. Background: Digital breast tomosynthesis (DBT) is a three-dimensional mammography technique with the potential to improve accuracy by improving differentiation between malignant and non-malignant lesions.

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“…Whether density only is related to risk of breast cancer or it also influences tumor subtype remains to be clarified. Previous published studies on the relationship between MD and tumor characteristics are highly inconsistent [2][3][4][5][6][7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

The influence of mammographic density on breast tumor characteristics

Eriksson

Czene

Rosenberg

et al. 2012

Breast Cancer Res Treat

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Mammographic density (MD) is a well-established risk factor for breast cancer. Whether MD influences the tumor phenotype remains to be clarified. Previous studies are highly inconsistent and most lack important covariate information. This is a case-only study within a population-based case-control study. Cases were all postmenopausal women, aged 50-74 years, with incident breast cancer, diagnosed 1993-1995, and with no history of previous cancer (n = 2,720). 1,747 women with mammograms and information on tumor characteristics were included in analyses. MD was assessed using a computer-assisted thresholding technique. We used linear, logistic, and multinomial logistic regression, adjusting for possible confounders, to study density and tumor characteristics. PD was only statistically significantly associated with tumor size in our study (regression coefficient 0.031, p = 0.017). The effect of PD on tumor size was greater when mode of detection was excluded from the model (regression coefficient 0.043, p = 0.001). No other associations between PD and the tumor characteristics studied (lymph node metastasis, ER-status, PR-status, grade, and histopathological classification) were observed. In summary, PD was positively associated with tumor size in postmenopausal women. However, the relationship was at least partially confounded by mode of detection. Although there may be a true biological relationship between MD and more highly proliferative tumors, it also seems that part of this relationship is due to masking delaying diagnosis. In conclusion, PD does not seem to be differentially associated with tumor phenotype, except for tumor size, after taking mode of detection into consideration.

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Association of Mammographic Density with the Pathology of Subsequent Breast Cancer among Postmenopausal Women

Cited by 57 publications

References 24 publications

Insulin-like growth factor 1 receptor expression in breast cancer tissue and mammographic density

Insulin-like growth factor 1 receptor expression in breast cancer tissue and mammographic density

The TOMMY trial: a comparison of TOMosynthesis with digital MammographY in the UK NHS Breast Screening Programme – a multicentre retrospective reading study comparing the diagnostic performance of digital breast tomosynthesis and digital mammography with digital mammography alone

The influence of mammographic density on breast tumor characteristics

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