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Radiology. 2016 Apr;279(1):226-38. doi: 10.1148/radiol.2015150709. Epub 2015 Oct 13.

Imaging in the Age of Precision Medicine: Summary of the Proceedings of the 10th Biannual Symposium of the International Society for Strategic Studies in Radiology.

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From the Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria (C.J.H., A.G.W.); Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Md (J.S.L., R.J.G.); Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (J.H.T.); Department of Radiology, Erasmus University Medical Center, Rotterdam, the Netherlands (G.P.K.); Department of Radiology, University of Cambridge, Cambridge, England (A.K.D.); Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (S.O.S.); and Department of Radiology, Memorial Sloan-Kettering Cancer Center, 1275 York Ave, Room C-278, New York, NY 10065 (A.M., H.H.).


During the past decade, with its breakthroughs in systems biology, precision medicine (PM) has emerged as a novel health-care paradigm. Challenging reductionism and broad-based approaches in medicine, PM is an approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle. It involves integrating information from multiple sources in a holistic manner to achieve a definitive diagnosis, focused treatment, and adequate response assessment. Biomedical imaging and imaging-guided interventions, which provide multiparametric morphologic and functional information and enable focused, minimally invasive treatments, are key elements in the infrastructure needed for PM. The emerging discipline of radiogenomics, which links genotypic information to phenotypic disease manifestations at imaging, should also greatly contribute to patient-tailored care. Because of the growing volume and complexity of imaging data, decision-support algorithms will be required to help physicians apply the most essential patient data for optimal management. These innovations will challenge traditional concepts of health care and business models. Reimbursement policies and quality assurance measures will have to be reconsidered and adapted. In their 10th biannual symposium, which was held in August 2013, the members of the International Society for Strategic Studies in Radiology discussed the opportunities and challenges arising for the imaging community with the transition to PM. This article summarizes the discussions and central messages of the symposium.

[Indexed for MEDLINE]

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