Personalized medicine will transform the practice of diagnostic imaging, but there are still significant hurdles, said Dr. Eliot L. Siegel of the Veterans Affairs Maryland Health Care System at an imaging informatics meeting. "In the era of Big Data and personalized medicine, diagnostic imaging runs the risk of becoming a relatively invisible nonparticipant in medicine if it cannot be delivered in a format that can be consumed as part of Big Data," said Siegel. However, he said personalized medicine shows great promise for oncology imaging as it will advance understanding of the molecular pathway for cancer, for example. Challenges to be addressed include the lack of acquisition standards, image quantification tools, an imaging tagging standard and mechanisms for clinical trial data sharing, he said.
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