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.

The imaging iodine contrast shortage is delaying procedures and causing rationing at hospitals. impact is it having on hospitals and the tough decisions that are being made to triage patients to determine if they will get a contrast CT scan or an interventional or surgical procedure requiring contrast. Photo by Dave Fornell

ChatGPT shows 'significant promise' in guiding contrast-related decisions

This could be especially helpful when timely clinical decisions relative to the use of a contrast agent need to be made.

April 23, 2024
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Actionable tips imaging departments can implement to reduce energy consumption

With the earth’s warmest March on record in 175 years barely in the rearview mirror, a team of radiology experts says medical imaging must step up its sustainability efforts. 

April 23, 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
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IAEA: When selecting medical imaging equipment, don’t assume ‘new’ means ‘low dose’

Advanced imaging equipment using ionizing radiation enters the global market at the rate of one new technology every five years.

April 22, 2024
Over the Shoulder Shot CT Brain Scan Images

Blood test could help cut back on head CTs in patients with blunt trauma

Given the subjective nature of diagnosing concussions, it can be difficult to make the call on whether a patient needs imaging, but many doctors err on the side of caution.

April 22, 2024

CT angiograms help providers 'cut to the chase' when triaging severe headaches in the ED

In the past, when initial CT scans didn’t uncover anything suspicious, patients were often referred for a lumbar puncture to check for blood in their spinal fluid. But those recommendations have started to change.

April 22, 2024
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How radiologists can help patients quit smoking

There are still nearly 30 million people who actively smoke in the United States.

April 19, 2024
interstitial lung disease reporting data system

Lung disease reporting system improves consistency—so why is it underutilized?

ILD-RADS was developed to address issues with inconsistency when reading high-resolution CT scans of the lungs in patients with a suspected interstitial lung disease.

April 19, 2024

Around the web

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

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

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

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