• Ann. Intern. Med. · Nov 2016

    Tailoring Breast Cancer Screening Intervals by Breast Density and Risk for Women Aged 50 Years or Older: Collaborative Modeling of Screening Outcomes.

    • Amy Trentham-Dietz, Karla Kerlikowske, Natasha K Stout, Diana L Miglioretti, Clyde B Schechter, Mehmet Ali Ergun, Jeroen J van den Broek, Oguzhan Alagoz, Brian L Sprague, Nicolien T van Ravesteyn, Aimee M Near, Ronald E Gangnon, John M Hampton, Young Chandler, Harry J de Koning, Jeanne S Mandelblatt, Anna N A Tosteson, and Breast Cancer Surveillance Consortium and the Cancer Intervention and Surveillance Modeling Network.
    • From the University of Wisconsin-Madison, Madison, Wisconsin; University of California, San Francisco, San Francisco, California; Harvard Medical School, Boston, Massachusetts; University of California Davis School of Medicine, Sacramento, California; Albert Einstein College of Medicine, Bronx, New York; Erasmus Medical Center, Rotterdam, the Netherlands; University of Vermont, Burlington, Vermont; Georgetown University Medical Center, Washington, DC; and Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
    • Ann. Intern. Med. 2016 Nov 15; 165 (10): 700-712.

    BackgroundBiennial screening is generally recommended for average-risk women aged 50 to 74 years, but tailored screening may provide greater benefits.ObjectiveTo estimate outcomes for various screening intervals after age 50 years based on breast density and risk for breast cancer.DesignCollaborative simulation modeling using national incidence, breast density, and screening performance data.SettingUnited States.PatientsWomen aged 50 years or older with various combinations of breast density and relative risk (RR) of 1.0, 1.3, 2.0, or 4.0.InterventionAnnual, biennial, or triennial digital mammography screening from ages 50 to 74 years (vs. no screening) and ages 65 to 74 years (vs. biennial digital mammography from ages 50 to 64 years).MeasurementsLifetime breast cancer deaths, life expectancy and quality-adjusted life-years (QALYs), false-positive mammograms, benign biopsy results, overdiagnosis, cost-effectiveness, and ratio of false-positive results to breast cancer deaths averted.ResultsScreening benefits and overdiagnosis increase with breast density and RR. False-positive mammograms and benign results on biopsy decrease with increasing risk. Among women with fatty breasts or scattered fibroglandular density and an RR of 1.0 or 1.3, breast cancer deaths averted were similar for triennial versus biennial screening for both age groups (50 to 74 years, median of 3.4 to 5.1 vs. 4.1 to 6.5 deaths averted; 65 to 74 years, median of 1.5 to 2.1 vs. 1.8 to 2.6 deaths averted). Breast cancer deaths averted increased with annual versus biennial screening for women aged 50 to 74 years at all levels of breast density and an RR of 4.0, and those aged 65 to 74 years with heterogeneously or extremely dense breasts and an RR of 4.0. However, harms were almost 2-fold higher. Triennial screening for the average-risk subgroup and annual screening for the highest-risk subgroup cost less than $100 000 per QALY gained.LimitationModels did not consider women younger than 50 years, those with an RR less than 1, or other imaging methods.ConclusionAverage-risk women with low breast density undergoing triennial screening and higher-risk women with high breast density receiving annual screening will maintain a similar or better balance of benefits and harms than average-risk women receiving biennial screening.Primary Funding SourceNational Cancer Institute.

      Pubmed     Full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…