by
Lauren Dubinsky, Senior Reporter | February 13, 2014
From the January/February 2014 issue of HealthCare Business News magazine
He and his research team evaluated the MRI scans of brain tumors utilizing 20 different parameters and created a database with tags associated with those images. “As researchers and clinical practitioners are asking questions about how best to treat a particular brain tumor, the MRI scans have significant added value in a very rigorous database scheme,” says Siegel.
To move toward more personalized radiology, he says physicians need to do exactly what he and his research team did in order to better predict the patients’ prognosis and treatment options.
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Changing practice of radiology
“We’re going to enter into an new era of practice and in order to stay relevant in that era of practice, with Big Data and with personalized medicine, our radiology data absolutely has to be discoverable by Big Data systems,” says Siegel.
Many companies, including the genetic testing company, 23andMe, are beginning to mine vast amounts of Big Data to personalize medicine and those in radiology need to ensure that they are not left behind. Siegel thinks the best way to make that happen is to combine and aggregate data that’s already been collected in clinical trials and radiology information.
“I think the age of personalized radiology is just getting started and I think it’s really exciting that we in the future will be able to know which studies to perform and which patients to screen based on data,” says Siegel.
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