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.

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.
Pitching the business case for 3D printing labs in radiology
Medical 3D printing expert Summer Decker, PhD, University of South Florida, explains how her lab has helped improve patient care.
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."
ChatGPT IDs incidental findings on CT images
New research suggests ChatGPT may be able to improve radiology workflows by performing an initial review of CT images.
How to address staffing shortages in cardiac CT
Eric Williamson, MD, a former SCCT president, examined recruitment and retention strategies for physicians and technologists in the field of cardiac CT.

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

Medical 3D printing expert Summer Decker, PhD, professor and vice chair for research and innovation, and director of 3D clinical applications, University of South Florida (USF) Morsani College of Medicine and Tampa General Hospital, explains what is involved in creating a 3D printiung program in radiology and how it helps patient care.

Pitching the business case for 3D printing labs in radiology

Medical 3D printing expert Summer Decker, PhD, University of South Florida, explains how her lab has helped improve patient care.

March 14, 2024

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."

March 1, 2024

chatgpt for patient questions about radiology

ChatGPT IDs incidental findings on CT images

New research suggests ChatGPT may be able to improve radiology workflows by performing an initial review of CT images.

January 15, 2024

Former SCCT president Eric Williamson, MD, FSCCT, vice chair for radiology informatics and AI at Mayo Clinic, presented the session one staffing challenges and provided insights into recruitment and retention strategies for physicians and technologists in the field. #SCCT #SCCT23 #SCCT2023 #cardiovascularbusiness

How to address staffing shortages in cardiac CT

Eric Williamson, MD, a former SCCT president, examined recruitment and retention strategies for physicians and technologists in the field of cardiac CT.

October 12, 2023

The European Society of radiology European Congress of Radiology (ECR) 2023 meeting. Image courtesy of ECR

Key trends in radiology at the European Congress of Radiology 2023 meeting

Bhvita Jani, research manager at the healthcare market analysis firm Signify Research, shares noteworthy happenings from the ECR expo floor.

April 7, 2023

Explainable stroke AI cleared for US sales

The FDA has OK’d a new artificial intelligence platform for quickly diagnosing stroke on unenhanced CT scans.

March 21, 2023

Ed Nicol, MD, consultant cardiologist and honorary senior clinical lecturer with Kings College London and president-elect of the Society of Cardiovascular Computed Tomography (SCCT), explained artificial intelligence (AI) in cardiac CT is here to stay and its use is expanding. He noted that one AI-based algorithm is already included in recent cardiology guidelines and more will likely follow. #SCCT

Cardiac imagers need to understand AI as it enters clinical use and ACC guidelines

Most FDA-cleared AI algorithms are related to radiology and cardiology, meaning radiologists and cardiologists need to make an effort to learn how these technologies work.

February 15, 2023

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