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.

One-stop CT, MR imaging: Future in diabetic care?

Quantifying body fat and other clinical factors in obese patients with diabetes using CT or magnetic resonance (MR) may help physicians detect and manage comorbidities such as cardiovascular disease, according to a review published in the May issue of Diabetes Technology & Therapeutics. But is that enough to justify “one-stop shop” imaging?

Example of a curved MPR image reconstruction of entire length of of a coronary artery on a cardiac CT scan to better show calcified and soft plaque burden inside the vessel. The thumbnail dots on the left side of the image are cross sectional views of the vessel. Siemens example on the expo floor.

The CCTA Playbook: A Guide to Coding, Reimbursement and Operations

A compendium of the business intelligence required to launch a CCTA service

Be Mindful of the Stark Law in CCTA Alliances

Numerous radiology groups are currently discussing arrangements whereby cardiologists and the radiologists would essentially split the responsibilities for reading coronary CT angiography (CCTA) studies. Most commonly, as proposed, the cardiologists would read and generate a signed interpretation report, but limited to the cardiac portion of the

Around the web

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

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

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