Imaging-based Subtypes of Pancreatic Cancer, New Webinar Hosted by Xtalks
TORONTO, ON–(Marketwired – June 15, 2017) – On Monday, June 26, 2017, join industry expert Eugene J. Koay, MD, PhD, Assistant Professor, Department of Radiation Oncology from The University of Texas MD Anderson Cancer Center as he discusses the use of quantitative methods to analyze CT images and diagnostic pathology of patients, and associating these measurements with outcomes.
The outcomes of pancreatic cancer have seen little improvement over the past three decades. The disease is associated with a poor prognosis and lack of response to chemotherapy and radiation. To date, there are no reliable ways to separate patients into prognostic groups based on the cancer biology, which would be expected to help tailor therapy for each individual. To address the need to stratify patients, a hypothesis was used that diagnostic computed tomography (CT) imaging would reveal differences in the biological properties of pancreatic cancer and patient outcomes.
A distinct imaging signature of pancreatic cancer has been identified that associated with the amount of stroma in the tumor microenvironment, the biology of the cancer cells, response to treatments, and survival outcomes of the patients. The findings indicate that quantitative characterization of routine diagnostic scans for pancreatic cancer can provide clinically and biologically meaningful information to help physicians make treatment decisions.
To learn more about this event visit: Imaging-based Subtypes of Pancreatic Cancer
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