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Editor's e-Note
The AHRA conference opens in Denver next week and, whether you’re attending one of the many informative educational sessions, strolling through the exhibit hall, or taking some time to explore the city, there will be plenty see and do. To whet your appetite, we’re providing a preview of some of the highlights in this month’s E-News Exclusive.

If you happen to be at the conference, stop by and visit us at booth 1521. Also, we’d love to hear about your conference experience on Twitter and/or Facebook.

— Dave Yeager, editor
e-News Exclusive
Something for Everyone at AHRA 2019

AHRA will be “Rockin’ in the Rockies” at its 47th annual meeting and exposition in Denver this year. The grand opening is on Monday, July 22, but there are several activities scheduled for Sunday to kick off the conference, including the Imaging Classic golf tournament and workshops dedicated to the certified radiology administrator exam, executive leadership, and cultivating accountability. There are also a couple of breakout sessions in the afternoon, featuring topics such as alternative payment models, managing workplace conflict, and surviving a radiography lawsuit.

Olympic skier and motivational speaker Vince Poscente is delivering the keynote for the grand opening, with a talk on the theme of “Full Speed Ahead.” The exhibit hall is open from 11 AM to 2 PM, so make sure you leave some time to check out the latest and greatest medical imaging technology. Some of Monday’s breakout session topics include MR safety, assessing cardiac risk in endurance athletes, and successful implementation of DR across a regional health system.

Full story »
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“You cannot use CT as a screening tool for every patient or even for every at-risk patient every year, so what we’re trying to do is to develop biomarkers from blood samples that could be incorporated into physical exams, and if there is any suspicion of lung cancer, then we would put the patient through CT.”

Leo L. Cheng, PhD, of Massachusetts General Hospital, regarding an initiative to accurately identify lung cancer stage by harnessing data unique to its major subtypes
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