We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App




AI Technology for Automated Assessment of Coronary Angiograms to Reduce Invasive Testing

By HospiMedica International staff writers
Posted on 17 May 2023
Print article
Image: Artificial intelligence can reduce invasive testing and improve cardiac diagnostics (Photo courtesy of Freepik)
Image: Artificial intelligence can reduce invasive testing and improve cardiac diagnostics (Photo courtesy of Freepik)

Coronary heart disease is the primary cause of death in adults globally. Coronary angiography is a standard diagnostic procedure that influences virtually all relevant clinical choices, from medication prescriptions to coronary bypass surgery. In many instances, quantifying the left ventricular ejection fraction (LVEF) at the time of coronary angiography is essential for enhancing clinical decisions and treatment plans, especially when the angiography is carried out due to potentially fatal acute coronary syndromes (ACS). As the left ventricle is the main pumping part of the heart, assessing the ejection fraction in this chamber offers crucial details about the percentage of blood leaving the heart with each contraction. Currently, an extra-invasive procedure, known as left ventriculography, is required to measure LVEF during angiography, which involves inserting a catheter into the left ventricle and injecting a contrast dye. This procedure carries additional risks and increases contrast exposure. Now, researchers have developed automated assessment of coronary angiograms to reduce risk and minimize the need for invasive testing.

In a new study, researchers at University of California San Francisco (San Francisco, CA, USA) and the Montreal Heart Institute (Montreal, Canada) aimed to examine whether deep neural networks (DNNs), a type of AI algorithm, could predict cardiac pump function from standard angiogram videos. They created and tested a DNN named CathEF to estimate LVEF from coronary angiograms of the heart's left side. The team conducted a cross-sectional study of 4042 adult angiograms matched with corresponding transthoracic echocardiograms (TTEs) from 3679 UCSF patients. They trained a video-based neural network to estimate reduced LVEF (equal to or less than 40%) and to predict the LVEF percentage from standard angiogram videos of the left coronary artery.

The findings indicated that CathEF accurately predicted LVEF, displaying strong correlations with echocardiographic LVEF measurements, which is the typical noninvasive clinical method. The model was also externally validated in real-world angiograms. It performed well across diverse patient demographics and clinical conditions, including acute coronary syndromes and varying degrees of renal function - groups of patients who may be less suitable for the standard left ventriculogram procedure. The researchers are now conducting further research to test this algorithm at the point of care and assess its influence on the clinical workflow in patients experiencing heart attacks. To that end, they have initiated a multi-center prospective validation study in patients with ACS to compare the performance of CathEF and the left ventriculogram with TTEs performed within 7 days of ACS.

“This work demonstrates that AI technology has the potential to reduce the need for invasive testing and improve the diagnostic capabilities of cardiologists, ultimately improving patient outcomes and quality of life,” said senior author and UCSF cardiologist Geoff Tison, MD, MPH.

Related Links:
UC San Francisco 
Montreal Heart Institute 

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Hysteroscopic Fluid Management System
HysteroFlow/HysteroBalance II

Print article

Channels

Critical Care

view channel
Image: The permeable wearable electronics developed for long-term biosignal monitoring (Photo courtesy of CityUHK)

Super Permeable Wearable Electronics Enable Long-Term Biosignal Monitoring

Wearable electronics have become integral to enhancing health and fitness by offering continuous tracking of physiological signals over extended periods. This monitoring is crucial for understanding an... Read more

Surgical Techniques

view channel
Image: NTT and Olympus have begun the world\'s first joint demonstration experiment of a cloud endoscopy system (Photo courtesy of Olympus)

Cloud Endoscopy System Enables Real-Time Image Processing on the Cloud

Endoscopes, which are flexible tubes inserted into the body's natural openings for internal examination and biopsy collection, are becoming increasingly vital in medical diagnostics. Their minimal invasiveness... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The PATHFAST hs-cTnI-II high-sensitivity troponin assay has been developed for the PATHFAST Biomarker Analyzer (Photo courtesy of Polymedco)

POC Myocardial Infarction Test Delivers Results in 17 Minutes

Chest pain is the second leading cause of emergency department (ED) visits by adults in the United States, generating over 7 million visits annually. In the event of a suspected heart attack, physicians... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.