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.

SCCT President Ed Nicol, MD, explains key trends trends in cardiac CT imaging at the 2023 meeting. #SCCT #SCCT23 #SCCT2023

Key trends and takeaways in cardiac CT at SCCT 2023

Several key trends at the 2023 annual meeting of the Society of Cardiovascular Computed Tomography were outlined by society President Ed Nicol, MD, including AI, reimbursement issue, business management discussions, and a growing interest in cardiac CT leading to record attendance this year.

HeartFlow's RoadMap technology where AI reads the image in a first pass to highlight areas of interest with for the radiologist or cardiologist on coronary CT scan. The technology was shown to reduce reading time by 25%.

Three studies show value of AI to speed cardiac CT reads and soft plaque evaluation 

AI to help interpret cardiac CT was shown to reduce exam read times to improve workflow efficiency, and improve patient diagnostics with additional information on soft plaques. Data was presented in three HeartFlow AI technology studies at SCCT 2023.

Image of a bioprosthetic valve within the RVOT from the SCCT's congenital heart disease guidelines

SCCT shares new recommendations on use of CT imaging to guide congenital heart disease treatment

The group collaborated with two other medical societies, SCAI and CHSS, on the expert consensus document. 

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Photon-counting technology offers new opportunities in imaging high-risk CAD patients

Coronary CT angiography is commonly used to assess patients at low or intermediate risk of CAD but is less effective in high-risk patients with an increased presence of coronary calcifications and stents due to the “blooming” effect they have on imaging.

Imaging results more helpful than genetics when predicting heart disease, new head-to-head study confirms

The new analysis, published in JAMA, suggests that CT results can help identify medium- and high-risk patients who may need to be considered for statin therapy or other preventive treatments.

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Get Ready: CT-guided PCI Is Coming to a Cath Lab Near You

Sponsored by GE Healthcare

Change is on the horizon for cath labs all over the world as more and more interventional cardiologists are starting to use coronary CT angiography to plan and guide PCI procedures. Patients, physicians, catheterization labs and healthcare systems all stand to gain from this growing trend.

An example of HeartFlow's new RoadMap Stenosis software that uses artificial intelligence (AI) to show areas of interest for possible stenting based on a patient's CT scan and FFR-CT. This software is still undergoing beta testing at several hospitals and will likely be rolled out commercially later in 2023.

Cardiology has embraced AI more than most other specialties

Cardiology is linked to the second largest group of FDA-cleared clinical AI algorithms, and the number is still growing. 

Marcelo DiCarli, MD, chief, division of nuclear medicine and molecular imaging, executive director for the cardiovascular imaging program, Brigham and Women's Hospital, discusses how artificial intelligence (AI) is impacting cardiac imaging.

What is the ROI for adopting AI in cardiac imaging?

Marcelo DiCarli, MD, and Rob Beanlands, MD, discussed the long-term value of investing in the development and implementation of AI technologies.