While doctors use measures like heart chamber size and systolic function to diagnose and monitor cardiomyopathy and other related heart issues, cardiac sphericity may be another good tool.
Using deep-learning techniques, the researchers automated the measurement of sphericity, finding that increased sphericity appeared to be linked to future heart troubles.“They say a picture is worth a thousand words, and we show that this is very true for medical imaging,” said co-corresponding author Dr. David Ouyang, a cardiologist and researcher at the Smidt Heart Institute of Cedars-Sinai, in Los Angeles.
“There's a lot more information available than what physicians are currently using. And just as we've previously known that a bigger heart isn't always better, we're learning that a rounder heart is also not better,” Ouyang said in a journal news release. The study also included a look at the genetic drivers for cardiac sphericity, and they found overlap with the genetic drivers for“There are two ways that these findings could add value,” Ouyang noted. “First, they might allow physicians to gain greater clinical intuition on how patients are likely to do at a very rapid glance. In the broader picture, this research suggests there are probably many useful measurements that clinicians still don't understand or haven't discovered.
More research is needed before the findings from this study can be translated to clinical practice, the authors stated. The research team is sharing all the data from this study so other investigators can begin studying heart roundness as a risk factor for
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