Modeling the natural history of ductal carcinoma in situ based on population data.
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ABSTRACT: BACKGROUND:The incidence of ductal carcinoma in situ (DCIS) has increased substantially since the introduction of mammography screening. Nevertheless, little is known about the natural history of preclinical DCIS in the absence of biopsy or complete excision. METHODS:Two well-established population models evaluated six possible DCIS natural history submodels. The submodels assumed 30%, 50%, or 80% of breast lesions progress from undetectable DCIS to preclinical screen-detectable DCIS; each model additionally allowed or prohibited DCIS regression. Preclinical screen-detectable DCIS could also progress to clinical DCIS or invasive breast cancer (IBC). Applying US population screening dissemination patterns, the models projected age-specific DCIS and IBC incidence that were compared to Survei
SUBMITTER: Chootipongchaivat S
PROVIDER: S-EPMC7251719 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
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