A comprehensive model considering patient age, diabetes, colonoscopy indications, and polyp findings can predict colorectal cancer (CRC) risk more accurately than the solely polyp-based model in ...

A simple, user-friendly decision-making model that used self-reported information was able to perform well in outpatient decision-making for patients with colorectal cancer (CRC). CRC is the second ...

A prediction model using age, body mass index, lifestyle, waist circumference, and family history had high accuracy when used to predict colorectal cancer (CRC) in China. A nomogram model was able to ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com. Men had a 1.6-fold increased risk for colorectal cancer ...

(HealthDay News) — Incorporation of a genetic risk score can improve the accuracy of colorectal cancer (CRC) risk determination, according to a study published in the June issue of Gastroenterology.

Researchers developed a model that can predict an individual patient’s risk to develop advanced precancerous polyps and colon cancer, Medical Xpress reported Nov. 10. Researchers from Indiana ...

Researchers used a microsimulation model to see possible outcomes of lowering the CRC screening initiation age. Researchers used the model to see how screening 45-year-old patients with a multitarget ...

Colorectal cancer (CRC) is a leading cause of death in the developed world, yet facile preclinical models that mimic the natural stages of CRC progression are lacking. Through the orthotopic ...