Simulating the Impact of Risk-Based Screening and Treatment on Breast Cancer Outcomes with MISCAN-Fadia

Jeroen J. van den Broek, Nicolien T. van Ravesteyn, Eveline A. Heijnsdijk and Harry J. de Koning
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Jeroen J. van den Broek: Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands
Nicolien T. van Ravesteyn: Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands
Eveline A. Heijnsdijk: Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands
Harry J. de Koning: Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands

Medical Decision Making, 2018, vol. 38, issue 1_suppl, 54S-65S

Abstract: The MISCAN-Fadia microsimulation model uses continuous tumor growth to simulate the natural history of breast cancer and has been used extensively to estimate the impact of screening and adjuvant treatment on breast cancer incidence and mortality trends. The model simulates individual life histories from birth to death, with and without breast cancer, in the presence and in the absence of screening and treatment. Life histories are simulated according to discrete events such as birth, tumor inception, the tumor’s clinical diagnosis diameter in the absence of screening, and death from breast cancer or death from other causes. MISCAN-Fadia consists of 4 main components: demography, natural history of breast cancer, screening, and treatment. Screening impact on the natural history of breast cancer is assessed by simulating continuous tumor growth and the “fatal diameter†concept. This concept implies that tumors diagnosed at a size that is between the screen detection threshold and the fatal diameter are cured, while tumors diagnosed at a diameter larger than the fatal tumor diameter metastasize and lead to breast cancer death. MISCAN-Fadia has been extended by including a different natural history for molecular subtypes based on a tumor’s estrogen receptor (ER) status and human epidermal growth factor receptor 2 (HER2) status. In addition, personalized screening strategies that target women based on their risk such as breast density have been incorporated into the model. This personalized approach to screening will continue to develop in light of potential polygenic risk stratification possibilities and new screening modalities.

Keywords: breast cancer epidemiology; microsimulation model; risk-based breast cancer screening (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:38:y:2018:i:1_suppl:p:54s-65s

DOI: 10.1177/0272989X17711928

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