Computed Tomography

Computed tomography (CT) is a fast and accurate imaging modality often used in emergency settings and trauma imaging. CT scans, with or without (or both) iodinated contrast are frequently used to image the brain, chest, abdomen and pelvis, but also have post-imaging reconstructive capabilities for detailed orthopedic imaging. It is now a standard imaging modality in emergency rooms to quickly assess patients. CT uses a series of X-ray images shot as the gantry rotates around the patient. Computer technology assembles these into into a dataset volume than can be slices on any access, or advanced visualization software can extract specific parts of the anatomy for study. Find more content specific to cardiac CT.

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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.

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

Kate Hanneman, MD, University Of Toronto, explains why vendors and hospitals are increasingly discussing lowing their carbon footprint by starting with radiology. 

What does radiology have to do with climate change?

Kate Hanneman, MD, explains why many vendors and hospitals want to lower radiology's impact on the environment. "Taking steps to reduce the carbon footprint in healthcare isn’t just an opportunity," she said. "It’s also a responsibility."

The new Philips Healthcare CT 5300 system is aimed at the cardiac CT market and incorporates AI features to improve image quality and workflow. #ECR #YesCCT #CCTA

Philips launches new AI-enabled CT scanner aimed at cardiology at ECR 2024

Philips introduced a new CT system at ECR aimed at the rapidly growing cardiac CT market, incorporating numerous AI features to optimize workflow and image quality.

Nauman Mushtaq, MD, Northwestern Medicine, explains the value of CT coronary calcium scoring for patients and for the cardiology business model.

The many benefits of using low-cost CT coronary calcium scoring to screen patients

CT calcium scoring provides valuable evaluations of intermediate-risk patients in addition to making good business sense for hospitals. Nauman Mushtaq, MD, an interventional cardiologist with Northwestern, shared his own experience with this technology. 

Joseph Swicklik, RT, Mayo Clinic, demonstrates how to use magic to calm pediatric patients during imaging exams.

Using 'magic' to calm pediatric patients during imaging exams

Joseph Swicklik, RT(R)(CT), Mayo Clinic, says magic tricks can help calm pediatric patients to overcome anxiety and make medical imaging exams run much smoother.

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. 

Examples of photon-counting coronary angiography showing how clarity improves as the thickness of the image is reduced. Top: 60-year-old female, with noncalcified plaque (arrowheads) and coronary stenosis (inset images). The reduced section thickness did not affect assessment in this patient. Bottom: 56-year-old female with calcified plaque (arrowheads) and coronary stenosis. The reduced section thickness leads to less calcium blooming and therefore a less severe percentage of stenosis. Courtesy of RSNA

Coronary artery disease classification improved with photon-counting CT

After a photon-counting CT, 54% of patients had their coronary artery disease classification downgraded.

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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