Calibrating and benchmarking absolute malignant induction probabilities
Conference Paper
Madkhali, Abdossalam M . 2015
Publication Work Type:
Poster
Conference Name:
National Cancer Research Institute Conference 2015
Conference Location:
Liverpool, UK
Conference Date:
Sunday, November 1, 2015
Sponsoring Organization:
NCRI
Publication Abstract:
More than half of cancer patients receive radiotherapy for radical or palliative purposes. Increasing survival rates in cancer patients make it important to study late side-effects, including secondary radiation-induced cancers. Although a number of predictive models exist, the absolute accuracy of these models in the radiotherapy dose range is limited partly due to scarcity of data and partly by extrapolation beyond historical data bounds. The aim of this work is to investigate conversion of malignant induction probabilities (MIP), which provide useful relative risk estimates, into absolute life time attributable risk estimates (LAR) and excess absolute risk (EAR) by calibrating and benchmarking our models using published outcome data.
Attachment:
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 madkhali_ncri_2015.pdf | 537.25 KB |