Tuesday February 18, 2020

Here Comes The Novel Method to Predict Fatal Heart Disease

Furthermore, the technology does not require any radiation exposure, which is essential in nuclear stress tests

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Cardiovascular Disease
stress cardiac MRI can not only diagnose heart disease, but can also predict which cases are potentially fatal. Pixabay

A novel method called stress cardiac MRI can not only diagnose heart disease, but can also predict which cases are potentially fatal, suggests a new research.

The study showed that predicting mortality is a key requirement for the technology to be more widely used.

In addition, results suggest cardiac magnetic resonance (CMR) has the potential to be a non-invasive, non-toxic alternative to stress echocardiograms, catheterisations and stress nuclear exams in identifying the severity of the coronary artery disease.

“We’ve known for some time that CMR is effective at diagnosing coronary artery disease, but it’s still not commonly used and represents less than one per cent of stress tests used in this country,” said senior author Robert Judd, co-director of the Duke Cardiovascular Magnetic Resonance Center in the US.

For the study, researchers analysed data from more than 9,000 patients who underwent CMR.

heart disease
The technology does not require any radiation exposure, which is essential in nuclear stress tests.Representational image. (IANS)

The findings, published in JAMA Cardiology, showed that for patients without any history of heart disease and at low-risk based on traditional clinical criteria, those with an abnormal CMR scan were 3.4 times more likely to die compared to patients with a normal CMR scan.

For the entire patient population, there was a strong association between an abnormal stress CMR and mortality, even after adjusting for patient age, sex and cardiac risk factors, the team found.

While non-invasive cardiac stress testing is a cornerstone in the clinical management of patients with known or suspected coronary artery disease, CMR works as well or better than other exams at identifying heart wall motion, cell death and the presence of low blood flow, said the study.

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Furthermore, the technology does not require any radiation exposure, which is essential in nuclear stress tests.

“With the findings from this study suggesting that stress CMR is effective in predicting mortality, we provide a strong basis for a head-to-head study between stress CMR and other modalities,” Judd noted. (IANS)

Next Story

Now AI Can Predict Cardiovascular Diseases

The AI technique was therefore shown for the first time to be able to predict which patients might die or suffer major adverse events

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Heart Disease
The AI technique was shown for the first time to be able to predict which patients might die or suffer major adverse Heart Diseases, better than a doctor could on their own with traditional approaches. Pixabay

Researchers have used Artificial Intelligence (AI) for the first time to instantly and accurately measure blood flow and Heart Diseases.

The results were found to be able to predict chances of death, heart attack and stroke, and can be used by doctors to help recommend treatments which could improve a patient’s blood flow, according to the study, published in the journal Circulation.

“We have tried to measure blood flow manually before, but it is tedious and time-consuming, taking doctors away from where they are needed most, with their patients,” said study researcher James Moon from University College London in the UK.

Heart disease is the leading global cause of death and illness. Reduced blood flow, which is often treatable, is a common symptom of many heart conditions. International guidelines therefore recommend a number of assessments to measure a patient’s blood flow, but many are invasive and carry a risk.

Non-invasive blood flow assessments are available, including Cardiovascular Magnetic Resonance (CMR) imaging, but up until now, the scan images have been incredibly difficult to analyse in a manner precise enough to deliver a prognosis or recommend treatment.

In the largest study of its kind, researchers took routine CMR scans from more than 1,000 patients and used a new automated artificial intelligence technique to analyse the images. By doing this, the teams were able to precisely and instantaneously quantify the blood flow to the heart muscle and deliver the measurements to the medical teams treating the patients.

By comparing the AI-generated blood flow results with the health outcomes of each patient, the team found that the patients with reduced blood flow were more likely to have adverse health outcomes including death, heart attack, stroke and heart failure.

Heart Disease
Researchers have used Artificial Intelligence (AI) for the first time to instantly and accurately measure blood flow and Heart Diseases. Pixabay

The AI technique was therefore shown for the first time to be able to predict which patients might die or suffer major adverse events, better than a doctor could on their own with traditional approaches. “The predictive power and reliability of the AI was impressive and easy to implement within a patient’s routine care,” said study researcher Kristopher Knott.

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“This study demonstrates the growing potential of artificial intelligence-assisted imaging technology to improve the detection of heart disease and may move clinicians closer to a precision medicine approach to optimize patient care,” said Peter Kellman, who developed the automated AI techniques to analyse the images that were used in the study. (IANS)