BMI researcher Metin Gurcan, PhD (Professor, Director of Division of Clinical and Translational Informatics) in collaboration with Anil Parwani, MD, PhD, MBA (Vice Chair of Pathology) and Cheryl Lee, MD (Chair of Urology) have been awarded one of the prestigious OSU Comprehensive Cancer Center Intramural Research Funding Awards. The research team for the project also includes Soledad Fernandez, PhD (BMI), Nancy Single (CCC), Khalid Niazi, PhD (BMI) and Brett Klamer, MS (BMI).
The two-year project, entitled Application of image analysis tools to accurately stage and risk stratify patients with T1 bladder cancer, will be primarily funded by Pelotonia dollars. Pelotonia is a three-day bike tour organized every year in Columbus to raise money for cancer research with one goal: “End Cancer.” Every rider-raised dollar goes to fund research at The Ohio State University Comprehensive Cancer Center.
Bladder cancer is an important disease that affects nearly 77,000 people annually. The cancer risk is initially defined by cancer invasion into the bladder wall. Tumor invasion into the first layer is termed stage T1. It may be difficult to confirm and sub-stage T1 cancer because of the difficulty in recognizing all of the anatomic landmarks. This difficulty makes it challenging for urologists to recommend the right treatment. The proposed study will develop image analysis tools to stage and risk stratify patients accurately, which will help urologists make better treatment decisions.
BMI Image Analysis Lab (http://www.bmi.osu.edu/cialab) will be developing the image analysis algorithms and software for the project. Founded in 2006 by Dr. Gurcan, the CIALAB’s mission is to develop image analysis algorithms to improve human health and well-being while training future research leaders in this field. The qualitative analysis of histopathological, radiological and dermoscopic images is time-consuming and subject to inter- and intra-reader variations. These variations may negatively affect the clinical outcome. The CIALAB has specialized in developing image analysis systems for computer-assisted interpretation of medical images. The research in the lab has been supported by the National Cancer Institute, National Institute of Allergy and Infectious Diseases, National Library of Medicine, American Cancer Society, Department of Defense, National Rosacea Society, American Acne and Rosacea Society, American Lung Association, National Football League Charities, The Children’s Neuroblastoma Cancer Foundation, and the European Union.