Breast Cancer Screening in BRCA1 Mutation Carriers: Effectiveness of MR Imaging—Markov Monte Carlo Decision Analysis
Abstract
Purpose To project intermediate and long-term clinical outcomes of magnetic resonance (MR) imaging screening for breast cancer in women with BRCA1 gene mutations. Materials and methods A microsimulation model was developed to compare three annual screening strategies versus clinical surveillance: (a) mammography, (b) MR imaging, and (c) combined MR imaging and mammography. Input parameters were obtained from the published medical literature, existing databases, and expert opinion. The model was calibrated to targets from the Surveillance Epidemiology and End Results database (1975-1980) compiled during a period prior to the onset of widespread mammographic screening. Sensitivity analysis was performed to evaluate the effect of uncertainty in parameter estimates. Results With clinical surveillance, the estimated median diameter of invasive breast cancers at presentation was 2.6 cm. Average life expectancy was 71.15 years. With annual screening with mammography, MR imaging, or combined mammography and MR imaging, median invasive tumor diameters at diagnosis decreased to 1.9, 1.3, and 1.1 cm, respectively. Annual screening with mammography, MR imaging, or combined mammography and MR imaging increased average life expectancy by 0.80 year, 1.10 years, and 1.38 years, respectively, and decreased relative mortality from breast cancer (16.8%, 17.2%, and 22.0%, respectively). Program sensitivity was greater than 50% only with MR imaging screening strategies. The majority of women unde…
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Individual-level STMs require more computation time, which may be important if probabilistic sensitivity analyses or value-of-information analyses are performed.
“Individual-level STMs [36,37], however, require more computation time, which may be important if probabilistic sensitivity analyses or value-of-information analyses are performed.”
From State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3 (2012) · cites this paper as [36]
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Antoniou, A., Pharoah, P. D. P., Narod, S., Risch, H. A., Eyfjord, J. E., Hopper, J. L., Loman, N., Olsson, H., Johannsson, O., Borg, Å., et al. (2003) · The American Journal of Human Genetics · doi:10.1086/375033 · Cited by 3,680 · see citing works
Risks of cancer in BRCA1-mutation carriers
FORD, D. (1994) · The Lancet · doi:10.1016/s0140-6736(94)91578-4 · Cited by 1,850 · see citing works
Survival and tumour characteristics of breast-cancer patients with germline mutations of BRCA1
Verhoog, L., Brekelmans, C., Seynaeve, C., van den Bosch, L., Dahmen, G., van Geel, A., Tilanus-Linthorst, M., Bartels, C., Wagner, A., van den Ouweland, A., et al. (1998) · The Lancet · doi:10.1016/s0140-6736(97)07065-7 · Cited by 452 · see citing works
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State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3
Siebert, U., Alagoz, O., Bayoumi, A. M., Jahn, B., Owens, D. K., Cohen, D. J., & Kuntz, K. M. (2012) · Value in Health · doi:10.1016/j.jval.2012.06.014 · Cited by 495 · see citing works
State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force–3
Siebert, U., Alagoz, O., Bayoumi, A. M., Jahn, B., Owens, D. K., Cohen, D. J., & Kuntz, K. M. (2012) · Medical Decision Making · doi:10.1177/0272989x12455463 · Cited by 348 · see citing works
- Authors
- Lee, J. M., Kopans, D. B., McMahon, P. M., Halpern, E. F., Ryan, P. D., Weinstein, M. C., & Gazelle, G. S.
- Affiliations
- Massachusetts General Hospital (US)
- Harvard University (US)
- Venue
- Radiology
- Published
- 2008-03
- Volume
- 246
- Issue
- 3
- Pages
- 763-771
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2081968484
- Cited by
- 45
- References
- 3
- Citations by year
- 2022: 3 · 2018: 2 · 2016: 2 · 2015: 1 · 2013: 6 · 2012: 9
- FWCI
- 6.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Radiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Cancer Institute (R25-CA92203, R25CA092203)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Digital Radiography and Breast Imaging
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
- Keywords
- breast cancer screening, BRCA1 mutation carriers, magnetic resonance imaging, mammography, breast cancer mortality, life expectancy, false positives, ductal carcinoma in situ, clinical surveillance, microsimulation model
- MeSH terms
- Adult, Breast Neoplasms, Female, Humans, Life Expectancy, Magnetic Resonance Imaging, Mammography, Markov Chains, Mass Screening, Monte Carlo Method, United States, SEER Program, Genes, BRCA1
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