Acute Coronary Syndromes

Acute coronary syndrome (ACS) is most commonly caused by a heart attack (myocardial infarction) where blood flow to the heart is suddenly blocked. This is usually caused by a blood clot from a ruptured coronary artery atherosclerotic plaque. Other causes include spontaneous coronary artery dissection (SCAD), which most commonly occurs in women. ACS is usually treated in a cath lab with angioplasty and the placement of a stent to prop the vessel open.

Breast arterial calcifications (BACs) identified on screening mammograms may help identify women who face a heightened risk of developing cardiovascular disease (CVD), according to a new analysis published in Clinical Imaging.

Incidental breast calcifications on mammograms linked to much higher risk of cardiovascular disease

These findings may say a lot more about a patient's long-term health than clinicians realized. 

March 18, 2024
HeartFlow FFR-CT is a non-invasive imaging method to determine the fractional flow reserve for the entire coronary tree.

AI-based CAD assessments as accurate as FFR, new 10-year study confirms

The FDA-approved technology developed by HeartFlow can predict a patient's long-term risk of target vessel failure as well as more invasive treatments performed inside a cath lab. 

March 12, 2024
Using computed tomography (CT) to perform coronary artery calcium (CAC) scoring can help identify symptomatic chest pain patients who do not require further testing, according to a new analysis published in Radiology.[1]

Coronary calcium scoring predicts when chest pain patients can skip invasive testing

Using CT to perform coronary artery calcium scoring on symptomatic chest pain patients can deliver significant value, according to a new data published in Radiology

March 6, 2024
healthcare business deal

Cardiologists partner with imaging AI specialists to improve care for high-risk heart patients

The new collaboration is designed to ensure patients who may face an increased risk of heart disease receive the follow-up care they need.

February 29, 2024
artificial intelligence AI heart cardiology

Cleerly’s AI software for noninvasive FFR estimates receives a Category 1 CPT code

The company officially launched its Cleerly ISCHEMIA software for delivering noninvasive evaluations of CCTA exams in early 2024. This update provides a closer look at the software from a billing perspective. 

February 23, 2024
Performing CT-derived fractional flow reserve (CT-FFR) before transcatheter aortic valve replacement (TAVR) improves the accuracy of coronary CT angiography (CCTA) and helps limit unneeded invasive coronary angiography (ICA), according to a new study published in JACC: Cardiovascular Interventions. Heartflow

HeartFlow’s AI-powered CAD offering reaches a significant milestone

The company's trademark offering has now been used to evaluate one quarter of a million patients. 

January 3, 2024
As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms needs to undergo quality assurance (QA) reviews. How to validate radiology AI? How can you validate medical imaging AI?

Cardiologists use video-based AI model to ID coronary artery disease

A team of specialists out of Cedars-Sinai developed the deep learning model using TTEs from nearly 3,000 patients.

January 26, 2023

New recommendations highlight the importance of CCTA when treating acute chest pain in the ED

The Society of Cardiovascular Computed Tomography developed and published the new document to help educate healthcare providers who regularly treat acute chest pain in the emergency department. 

September 29, 2022

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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