With a new four-year, $1.14 million grant from the U.S.
Department of Veterans Affairs, researchers at Case Western Reserve University and the Louis Stokes Cleveland VA Medical Center, will use artificial intelligence (AI) to determine the best personalized treatment for Veterans with rectal cancer. Colorectal cancers are the third-most common type of cancer in military personnel, affecting up to 8% of Veterans and 5% of active-duty Service members, according to the American Cancer Society (ACS). More than 152,000 patients in the United States will be diagnosed with colorectal cancer in 2024, with more than 46,000 localized to the rectum, according to the ACS.
Satish Viswanath, co-director of the Center for AI Enabling Discovery in Disease Biology (AID2B) at Case Western Reserve and a biomedical engineer and research scientist at the Cleveland VA Medical Center, along with VA co-investigators, plan to use AI to develop an algorithm that analyzes magnetic resonance imaging (MRI) scans to better understand how rectal tumors respond to treatment. The AI tool, called the computational image Rectal Response Classifier (ciRRC), will assess MRI data in more detail than human evaluation alone. The hope is the tool, once fully developed and tested, will allow doctors to offer Veterans timely customized precision oncology treatment.
Rectal cancer patients undergo a one-size-fits-all treatment protocol that almost always requires surgery, but surgery comes with inherent risks and compli.