How An X Ray Can Help Predict Risk Of Heart Attack



How An X Ray Can Help Predict Risk Of Heart Attack

The World Health Organization (WHO) has reported that globally heart disease is now the biggest cause of mortality. According to estimates, about one crore 70 lakh individuals worldwide lose their lives to cardiovascular disease each year. Considering this fact, researchers created a learning model that will forecast the probability of death from an atherosclerotic heart disease like heart attack or stroke within the next 10 years. According to the researchers, it is an advanced artificial intelligence program that has been created using just one chest X-ray (CXR) input.

According to scientists, the catastrophic effects of cardiovascular heart disease have spurred study into the prevention, diagnosis, and treatment of heart disease and its risk factors. The National Cancer Institute in the United States has created a specific trial to study in order to test this technology that is known as CXR-CVD Risk. A second independent cohort of roughly 11,430 outpatients who had all undergone chest X-rays were employed in the training. In fact, it may have qualified them for statin therapy, a form of preventive measure to lower the risk of heart attacks.

Also Read: Study Finds More Physical Activity May Reduce Risk For Second Heart Attack

Model Based On AI

The results of the study were presented at the Radiological Society of North America’s annual meeting (RSNA). Advanced artificial intelligence (AI) known as “deep learning” can be trained to look for disease-related patterns in X-ray pictures. According to Boston’s Jacob Weiss, the study’s lead author and a radiologist associated with the Cardiovascular Imaging Research Center in Massachusetts, this kind of screening could be used to find people who would benefit from taking a statin drug but are not currently being treated.

Alert Will Be Available 10 Years In Advance

According to current recommendations, determining who should use statins for primary prevention involves assessing the 10-year risk of significant unfavorable cardiovascular disease events. The Atherosclerotic Heart Disease (ASCVD) risk score, a statistical model that takes into account a number of factors such as age, gender, race, systolic blood pressure, hypertension therapy, smoking blood testing and type 2 diabetes are utilized to assess this risk. Statin therapy is suggested for patients with a 10-year risk of 7.5% or higher.

Also read: Heart Attacks While Exercising, Warning Signs One Should Not Ignore

Dr. Weiss and a team of researchers trained a deep learning model using a single chest X-ray (CXR) input. They developed a model known as CXR-CVD risk to predict the likelihood of death from cardiovascular disease using 147,497 chest X-rays from 40,643 participants in prostate, lung, colorectal and ovarian cancer screening trials.