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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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.

June 21, 2023
COVID causes increase risk of clotting. Example of a pulmonary embolism. CT pulmonary angiograms in a 77-year-old man with COVID-19 and a saddle embolus to pulmonary arteries (black arrow in A) extending into right and left pulmonary arteries (white arrows) in (A, B) axial and (C) coronal planes. Arrowheads show pulmonary changes associated with COVID-19 and possible lung infarction (black arrow in C). (D) Axial image at the level of the ventricles shows right-sided heart strain. RSNA. COVID PE

'Concerning' CT findings may lead to unnecessary hospitalization in PE patients

CT findings that have historically been deemed as concerning relative to PE might not hold as much weight when it comes to associated risks as previously thought, new analysis suggests.

June 15, 2023
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AI primed for pulmonary nodule detection in adults, falls short in pediatric population

Artificial intelligence tools have proven to be beneficial in detecting pulmonary nodules on chest CTs of adults, but less is known about their utility in pediatric populations. 

June 14, 2023
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Radiologist-recommended testing for primary hyperparathyroidism improves diagnosis

Biochemical evaluation for patients with incidentally detected enlarged parathyroid glands can prompt earlier diagnosis, according to new data in the American Journal of Roentgenology

June 7, 2023
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Incomplete neurovascular imaging work-ups to blame for subsequent stroke in patients with TIA

Up to 37% of patients presenting with transient ischemic attack do not receive a full neurovascular imaging work-up, according to new data published in the American Journal of Roentgenology. 

June 1, 2023
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Physical activity is linked to smaller brain bleeds, new CT data reveal

The research, published in Stroke and Vascular Neurology, suggests that just four hours of physical activity per week can reduce the significance of a brain bleed.

May 22, 2023
Philips Healthcare booth sign at HIMSS23.

Philips launches new AI-powered CT system said to improve workflows, increase returns

Philips has developed an AI-powered CT system designed to increase throughput and improve image quality, all while decreasing patient exposure to ionizing radiation. 

May 17, 2023
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Similar plaque burden, different risks: Why CCTA might one day alter treatment in postmenopausal women

New data suggest that the burden of atherosclerosis on imaging might not be as indicative of major cardiovascular events as a person’s age and sex. 

May 11, 2023

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

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. 

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