A unifying framework for continuous tumour growth modelling of breast cancer screening data

DOI10.1016/j.mbs.2022.108897zbMath1505.92047OpenAlexW4293577546MaRDI QIDQ2103598

Keith Humphreys, Gabriel Isheden

Publication date: 9 December 2022

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2022.108897

zbMATH Keywords

breast cancerscreeningrandom effects modeltumour growth modellatent processescontinuous growth model

Mathematics Subject Classification ID

Pathology, pathophysiology (92C32)

Cites Work

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• Estimating tumor growth rates in vivo
• Identifiability of the joint distribution of age and tumor size at detection in the presence of screening
• Multivariate distributions of clinical covariates at the time of cancer detection
• Modeling cancer detection: Tumor size as a source of information on unobservable stages of carcinogenesis

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