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
Rigel Medical - Seaward

Download Mobile App


ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.
08 Jun 2023 - 10 Jun 2023

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 Supplier
Creatinine Meter
StatSensor Xpress Creatinine Meter
Plug-In Patient Monitor
X-Ray Protection
X-Ray Protective Clothing and Accessories
Silver Supplier
Patient Simulator
PatSim 200

Print article
FIME - Informa



view channel
Image: The AI tool can also tackle dangerous inequalities in heart attack diagnosis (Photo courtesy of Freepik)

AI Algorithm Integrates Cardiac Troponin Test Results with Clinical Data to Quickly Rule out Heart Attacks in Patients

The accepted standard for diagnosing myocardial infarction, or heart attack, involves assessing the blood for troponin levels. However, this approach applies the same benchmark for all patients, failing... Read more

Critical Care

view channel
Image: The novel intravascular, catheter-based technology is designed to treat pulmonary hypertension (Photo courtesy of Freepik)

Minimally Invasive Catheter-Based Technology Treats Pulmonary Hypertension

Pulmonary hypertension, a deadly condition impacting roughly 500,000 patients annually across the world, is currently categorized as a rare disease. As it stands, available treatment options are restricted,... Read more

Surgical Techniques

view channel
Image: LIBERTY is the first ever single-use endovascular surgical robotic system designed to streamline endovascular procedures (Photo courtesy of Microbot Medical)

Tiny Surgical Robot Designed to Streamline Endovascular Interventional Procedures

The endovascular field currently has several unmet needs that can be fulfilled with robotics. However, the current uptake of robotics in this sector is exceptionally low, largely due to several barriers... 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: VCM viscoelastic testing instrument provides rapid, real-time hemostasis assessment at POC (Photo courtesy of Entegrion)

Next Gen Viscoelastic Coagulation Monitor Enables Rapid Hemostasis Assessment at Patient Side

The use of viscoelastic coagulation testing is on the rise for various applications such as trauma, surgery, obstetrics, major disease management, and more. It provides crucial information not obtained... Read more
Copyright © 2000-2023 Globetech Media. All rights reserved.