Computed Tomography

Cardiac computed tomography (CT) has become a primary cardiovascular imaging modality in the past 20 years, and was recommended as a 1A recommendation in the 2021 chest pain assessment guidelines. CT calcium scoring has became a primary risk assessment for coronary artery disease and whether patients should be on statins. Coronary CT angiography (CCTA) is used to for anatomical assessment of the arteries for plaque burden and to identify areas of blockage that may cause ischemia and heart attacks. Additional use of contrast CT perfusion or fractional flow reserve CT (FFR-CT) can offer physiological information on the function of the heart. CT plays a primary role in structural heart assessments for heart valves, repair of congenital defects and left atrial appendage occlusion (LAAO) for both pre-procedure planning and procedural guidance. Find more news on general radiology CT use.

AI improves CT assessments, boosts care for real-world heart patients
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.
AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
CT procedure shown to reduce need for invasive cardiac testing
In a study, CT-FFR was shown to reduce the need for invasive tests to measure coronary artery blockage from 74.5% to 25.5%.
First-in-human trial shows potential of guiding CABG with cardiac CT and AI—no ICA required
An independent heart team blinded to ICA results was able to deliver helpful guidance for CABG procedures for 99.1% of patients using just CCTA and FFR_CT alone. This approach is safe and feasible, researchers wrote, and the next step is to gather additional data.
Radiology AI company gains FDA clearance for new CT offerings focused on PE, stroke
The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

Sarah Jane Rinehart, MD, director of cardiac imaging, Charleston Area Medical Center, Charleston West Virginia, as been using the FDA-cleared RoadMap artificial intelligence algorithm from HeartFlow in studies and in clinical used since it was cleared and said it helps cardiologists in several ways. #ACC #ACC24 #ACC2024 #Heartflow #AIhealth

AI improves CT assessments, boosts care for real-world heart patients

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.

April 26, 2024

Advanced artificial intelligence (AI) models can evaluate cardiovascular risk in routine chest CT scans without contrast, according to new research published in Nature Communications.[1] In fact, the authors noted, the AI approach may be more effective at identifying issues than relying on guidance from radiologists. Representative non-contrast CT slices for two patients (left), with super-imposed segmentations (right). One artificial intelligence (AI) model was used to segment a cardiac mask.

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

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

April 23, 2024

CT procedure shown to reduce need for invasive cardiac testing

In a study, CT-FFR was shown to reduce the need for invasive tests to measure coronary artery blockage from 74.5% to 25.5%.

April 16, 2024

First-in-human trial shows potential of guiding CABG with cardiac CT and AI—no ICA required

An independent heart team blinded to ICA results was able to deliver helpful guidance for CABG procedures for 99.1% of patients using just CCTA and FFR_CT alone. This approach is safe and feasible, researchers wrote, and the next step is to gather additional data.

April 10, 2024

Avicenna.AI, a French artificial intelligence (AI) startup co-founded by a radiologist, has received U.S. Food and Drug Administration (FDA) clearance for two new offerings designed to automatically identify cardiovascular findings in CT scans, CINA-iPE and CINA-ASPECTS.

Radiology AI company gains FDA clearance for new CT offerings focused on PE, stroke

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

March 26, 2024

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

New imaging protocols proposed to curb rise of cardiovascular infections

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.

March 12, 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

Around the web

Cardiovascular Business

AI improves CT assessments, boosts care for real-world heart patients

Cardiovascular Business

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

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

Radiology Business

Google teams with Bayer to address radiologist burnout via AI

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