The ability to detect and remove adenomas along the length of the colon during colonoscopy essentially short- circuits the development of CRC and screening is associated with lower colorectal cancer (CRC) mortality. But follow-up care is needed to provide further benefit because the CRC preventive effects of polypectomy fade with time as new or over-looked neoplasia develop and grow. Understanding the effects of follow-up care has become important because, with the recent recommendation of an average risk screening colonoscopy, there is a large cohort of patients who are eligible for colonoscopy follow-up care. The effects and risks for screening colonoscopy have been studied, but the risk dynamics of CRC and the appropriate care following an initial colonoscopy are not well understood. Therefore, the long-term objective of this research is to quantify the risk dynamics for colorectal cancer following a colonoscopy and to identify patients who are candidates for either more or less intensive monitoring. To accomplish this objective, colonic neoplasia growth rates will be quantified by fitting the rates in a predictive model of colonic neoplasia development to serial colonoscopy results. In particular, we are interested in quantifying how the colonic neoplasia growth rates vary by sex, colon location, patient age, and patient-specific colonoscopy results. Quantifying these differences gives the patient-specific dynamics of colorectal cancer risk. The colonic growth rates will be used in stochastic simulations of colorectal cancer monitoring protocols to identify the optimal (greatest increase in quality- adjusted life years), cost-effective follow-up care based on a patient?s risk factors.

Public Health Relevance

This project will further our understanding of cancer development by measuring the rate at which pre- cancerous adenomas in the colon grow and transform into cancer in different regions of the colon. We will then determine how to use available cancer detection tests to best target specific the colon regions in patients most likely to develop cancer.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Academic Research Enhancement Awards (AREA) (R15)
Project #
1R15CA208881-01A1
Application #
9305603
Study Section
Cancer, Heart, and Sleep Epidemiology B Study Section (CHSB)
Program Officer
Doria-Rose, Paul P
Project Start
2017-09-01
Project End
2020-08-31
Budget Start
2017-09-01
Budget End
2020-08-31
Support Year
1
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Louisiana Tech University
Department
Engineering (All Types)
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
069746725
City
Ruston
State
LA
Country
United States
Zip Code
71272