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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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.

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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.

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.

Should women pause breastfeeding after contrast injections? Survey reveals vastly different opinions

The recommendations differ between professional medical organizations and contrast manufacturers as well.

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CT procedure shown to reduce need for invasive cardiac testing

In a study, CT-FFR was shown to reduce the need for invasive tests to measure coronary artery blockage from 74.5% to 25.5%.

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Woman sues medical center after falling from CT scanner during a stroke

Monica Lynch is suing MidState Medical Center in Connecticut Superior Court, claiming the fall resulted in a lack of stroke interventions and further injuries.

artificial intelligence in healthcare

AI able to assess invasiveness of lung lesions to aid in surgery

In a study, the most accurate model combined deep-learning with a radionomics approach.

Medical malpractice gavel diagnostic error mistake stethoscope

Stroke patient sues radiology practice claiming negligence led to her fall from a CT scanner

Monica Lynch accuses Midstate Radiology Associates of failing to secure her to the scanner table and ignoring her needs during an examination. 

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