Random effects models of tumour growth for investigating interval breast cancer
Letizia Orsini,
Kamila Czene,
Keith Humphreys
Abstract:In Nordic countries and across Europe, breast cancer screening participation is high. However, a significant number of breast cancer cases are still diagnosed due to symptoms between screening rounds, termed “interval cancers”. Radiologists use the interval cancer proportion as a proxy for the screening false negative rate (ie, 1‐sensitivity). Our objective is to enhance our understanding of interval cancers by applying continuous tumour growth models to data from a study involving incident invasive breast can… Show more
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