Estimating Transition Times between Stages of Colorectal Cancer
Research Abstract
Per American Cancer Society, colorectal cancer (CRC) is the third most common cause of cancer related deaths in the United States. Experts estimate that about 85% of CRCs begin as precancerous polyps, early detection and treatment of which can significantly reduce the risk of CRC. Hence, it is imperative to develop population-wide intervention strategies for early detection of polyps. Development of such strategies requires precise values of the population-specific rates of incidence of polyp and its progression to cancerous stage. There has been a considerable amount of research in recent years on developing screening based CRC
intervention strategies. However, these are not supported by population-specific estimates of progression rates. This paper addresses this need by developing a probability model that estimates polyp progression rates considering race and family history of CRC; note that, it is ethically infeasible to obtain polyp progression rates through case studies. We use the estimated rates to simulate the progression of polyps in the population of the State of Indiana and also the population that was examined in a literature clinical trial conducted in the State of Minnesota. The results from the simulations are used to validate the probability model
Publications
Conference Presentations
- Gopalappa, C. and Das, T. K. Applied Probability Models for Obtaining Progression Rates between Colorectal Cancer Stages. INFORMS Annual Meeting 2008, Washington, DC.
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