When treating patients with cancer, one of the most challenging questions that physicians face is determining whether a tumor should be surgically removed immediately, or if it can be monitored over the course of time without performing surgery. Imaging tests – such as a CT scan or MRI – are essential tools that clinicians rely upon to answer this complex and challenging decision process because they give a snapshot of what is happening deep within the human body.
Gabriel Krestin, M.D., Ph.D., a radiologist and researcher, is at the forefront of new efforts to apply cutting edge imaging technologies that can detect subtle biological and molecular changes to more accurately diagnose and treat disease.
At this year’s Individualizing Medicine Conference: Advancing Care through Genomics, Dr. Krestin will discuss his work on integrating new imaging methods to identify objective, quantitative, and standardized features available in digital images – called imaging biomarkers – that can be important to predict complex diseases, their outcome and monitor treatment. His plenary presentation, Imaging Biomarkers for Disease Prediction, is one of the highlights of the conference that will be held Sept. 12-13, in Rochester. Minnesota.
Dr. Krestin is a professor of Radiology and Chairman of the Department of Radiology and Nuclear Medicine at Erasmus MC, University Medical Center Rotterdam, in the Netherlands. In 2017, he was elected to the National Academy of Science, Engineering and Medicine (US). He has authored more than 400 publications and over 70 book chapters.
“New imaging techniques offer important information about the physiology, organ function, and biological and molecular functions, allowing us to predict disease long before symptoms appear,” explains Dr. Krestin.
These Imaging biomarkers are playing a key role in precision medicine research and practice, helping to reveal subtle differences that can indicate the best individualized approach for choosing the right therapy.
"Using artificial intelligence and computational methods, we can integrate imaging data with genomic, clinical and environmental information to provide new knowledge to guide patient care. The key to the success of this new ‘data driven medicine’ approach is collaboration among multiple specialists to interpret these results and then develop individualized treatment plans for patients.” - Gabriel Krestin, M.D., Ph.D.
“This “deep imaging phenotyping” is at the basis of the emerging field of radiomics, allowing us to play an increasing role in prediction of disease, of outcomes and of therapy response. Using artificial intelligence and computational methods, we can integrate imaging data with genomic, clinical and environmental information to provide new knowledge to guide patient care. The key to the success of this new ‘data driven medicine’ approach is collaboration among multiple specialists to interpret these results and then develop individualized treatment plans for patients,” says Dr. Krestin.
An opportunity to learn from a leader
According to Kiaran McGee, Ph.D., Director of the Imaging Biomarker Discovery Program within the Mayo Clinic Center for Individualized Medicine, Dr. Krestin is a world leader in radiology research and clinical practice and is ideally suited to address the importance of imaging and imaging biomarkers in individualized medicine. His research has focused on imaging of abdominal organs and cardio-vascular diseases, molecular imaging and population imaging.
“Dr. Krestin has worked at many leading academic medical institutions and serves on many advisory boards, allowing him to have his finger on the pulse of advances in radiological imaging and how these new techniques can be applied to improve personalized patient care,” says Dr. McGee.
Join us at the conference
Mayo Clinic Center for Individualized Medicine is hosting the Individualizing Medicine Conference, which brings together experts from Mayo Clinic and around the world to discuss how the latest discoveries in precision medicine can be applied to improve patient care.
Tags: #Artificial Intelligence, #CIMCon18, #disease prediction, #Dr. Gabriel Krestin, #Dr. Kiaran McGee, #imaging biomarkers, #imaging tests, #Individualizing Medicine 2018: Advancing Care Through Genomics, #targeted therapies, individualized medicine, mayo clinic, Precision Medicine