Scientists have developed a new 3D virtual heart tool to help doctors determine the risk of sudden cardiac death from life-threatening arrhythmias. The tool uses patient-specific MRI scans to create digital replicas of the heart and simulate the electrical processes to predict arrhythmic events more accurately than existing methods. This non-invasive assessment could help identify which patients truly need invasive and costly defibrillator implants and prevent unnecessary procedures for those not at high risk.
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3 d virtual heart to predict sudden cardiac death risk
1. 3D virtual heart to predict
sudden cardiac death risk
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2. Contd…
Scientists have developed a new non-invasive, personalised 3D virtual heart
assessment tool to help doctors determine whether a patient faces a risk of life-
threatening arrhythmia.
When electrical waves in the heart run amok in a condition called arrhythmia,
sudden death can occur, researchers said. To save the life of a patient at risk,
doctors currently implant a small defibrillator to sense the onset of arrhythmia and
jolt the heart back to a normal rhythm.
However, it is difficult to decide which patients truly need the invasive, costly
electrical implant. “Our virtual heart test significantly outperformed several existing
clinical metrics in predicting future arrhythmic events,“ said Natalia Trayanova from
Johns Hopkins University in the US.
“This non-invasive and personalised virtual heartrisk assessment could help
prevent sudden cardiac deaths and allow patients who are not at risk to avoid
unnecessary defibrillator implantations,“ said Trayanova.
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3. Contd…
Researchers formed its predictions by using the distinctive magnetic
resonance imaging (MRI) records of patients who had survived a heart attack
but were left with damaged cardiac tissue that predisposes the heart to
deadly arrhythmias.
The study involved data from 41patients who had survived a heart attack
and had an ejection fraction -a measure of how much blood is being pumped
out of the heart -of less than 35%.
Researchers used a preimplant MRI scans of the recipients' hearts to build
patient-specific digital replicas of the organs.
Using computer-modeling techniques, the geometrical replica of each
patient's heart was brought to life by incorporating representations of the
electrical processes in the cardiac cells and the communication among cells.
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