Heart shape may reveal disease risk

The shape of a person's heart may be a predictor of heart disease in the future. Rounded hearts are 47% more likely to develop cardiomyopathy. Cardiomyopathy, which makes it more difficult for the heart to transport blood to other parts of the body, "the researchers used artificial intelligence to analyze MRI images of the hearts of more than 38897 healthy people in the UK Biobank. The researchers measured the roundness of the left ventricle, and the researchers analyzed the participants' health records and found a link between a rounded heart and a body that is prone to heart disease. Dr. Shaw Clark, a heart disease prevention expert and lecturer in the Department of Medicine and Pediatrics at Stanford University School of Medicine, said in a press release announcing the findings. Most cardiologists know very well that a rounded heart indicates a predisposition to heart disease. He conducted the study with Dr. David Ouyang of the Smith Heart Institute at Cedas-Sinai Medical Center in Los Angeles.

The reference News Network reported on April 6A new study from Stanford University has found that the shape of a person's heart may be a predictor of heart disease in the future, Fox News reported on April 1.

Specifically, rounded hearts are 47% more likely to develop cardiomyopathy, according to Miaoyou Medical International. Cardiomyopathy is a cardiomyopathy that makes it more difficult for the heart to transport blood to other parts of the body.

The researchers used artificial intelligence to analyze MRI images of the hearts of more than 38897 healthy people in the UK Biobank.

In the study, published recently in the Journal of Medicine, the researchers measured the roundness of the left ventricle.

Next, the researchers analyzed the participants' health records to determine who had specific genetic markers for heart disease.

They found a link between a rounded heart and a body that is prone to heart disease.

"most cardiologists are well aware that when a person has a heart attack," Dr. Shaw Clark, a cardiologist and lecturer in the department of medicine and pediatrics at Stanford University School of Medicine, said in a press release. "the heart will look more spherical."

A rounded heart indicates a predisposition to heart disease.

Clark, a senior researcher, conducted the study with Dr. David Ouyang of the Smith Heart Institute at Cedas-Sinai Medical Center in Los Angeles.

The lead author of the study is Milos Vucadinovich, a bioengineering student at the University of California, Los Angeles.

Clark told Fox News Digital Network that the team was surprised by the close link between heart roundness and future risk of cardiomyopathy.

"the shape of the heart may be no different from the information provided by the size or strength of the heart," he said. But it turns out that the shape of the heart provides additional information about risk and genetics that cannot be obtained by other measurements. "

Dr. Mark Siegel, a professor of clinical medicine at New York University Langon Medical Center and a contributor to Fox News Medicine, said that if used properly, artificial intelligence can be a "clinician's friend" in assessing heart health.

Siegel told Fox News Digital Network: "in this case, artificial intelligence seems to show a link between the roundness of the heart and cardiomyopathy." After suffering from cardiomyopathy, the heart expands and the pumping efficiency decreases. "

"it makes sense because the heart is usually oval," he explained. "

"it is conceivable that a rounded shape will put more pressure on the valve and valve wall, which may lead to this result," he said. " He was not involved in the new study.

Dr. Siegel said that if the new study is confirmed, it will add another consideration to the way cardiologists examine patients' ultrasonic electrocardiograms. Medical imaging can provide more information.

"one of the key gains of our work is that the current strategies for evaluating hearts are good, but they were established decades ago, before the era of big data." Clark said.