Colorectal Cancer Incidence Prediction Model
Posted 10 Jun, 2008 in Tools
Available Versions
- 2 (published)
Supporting Documents
- Decision Tree Analysis: Adaptation to Colon Dynamics (JPG, 137.53 Kb)
- Mechanistic Modeling of Polyp and CRC Development (PDF, 27.66 Kb)
- Predicting CRC Incidence from Polyp Prevalence (PDF, 81.78 Kb)
- Introduction to the Theory (PDF, 208.14 Kb)
This tool is closed source.
| Version | 2 - published on 16 Jun. 2008 |
|---|---|
| Contributor(s) | Eric Sherer e-Enterprise Center, Purdue University; VA CoE on Implementing Evidence-based Practice Mohd Rahmad Purdue University |
| At a glance | Stochastic simulation of polyp and colorectal cancer (CRC) incidence with patient age. Patient information such as demographics and colon history can be used to individualize incidence predictions. |
| Screenshots | |
| Description | This model describes the accumulation of somatic mutations within a single cell for genes commonly altered in colorectal adenomas and carcinomas. Acquisition of such mutations through time can lead to the formation of an adenoma (polyp) or a carcinoma.
Several default scenarios are available, where the mutation rates and genetics states have been fit to Indiana colorectal cancer incidence rates for various demographic groups (M/F and B/W). Options are available for altering the model structure by changing any of the following:
The model can be compared with the appropriate actual data set. The model outputs the likelihood that a CRC develops with patient age. In a future version of the model, predictions conditional on the demographics and colon history of a patient can be made. That is, model predictions for colorectal incidence can be refined based on the findings of a colonoscopy. |
| credits | Population model developed by |
| Cite this work | If you reference this work in a publication, please cite as follows: |
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