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.

RSNA attendees through bore of the new release Philips CT 5300 scanner at RSNA 2024. Three new CT systems were released at RSNA that included numerous AI enhancements. Photo by Dave Fornell. #RSNA #RSNA24 #RSNA2024

Key takeaways from RSNA 2024 for AI, CT, MRI and the radiology staffing shortage

Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.

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Routine abdominal CTs offer insight into cardiovascular risk

During this year's RSNA meeting, providers were especially interested in how AI applications could enhance opportunistic screening capabilities.

New scoring system accurately predicts coronary risk in women

The system combines findings from SPECT myocardial perfusion imaging with lifestyle and clinical factors to predict risk of major cardiovascular events.

Silicosis on CT

Abnormal CT findings increasingly common among countertop workers

Individuals who work with engineered stone countertops are increasingly being diagnosed with silicosis—a chronic lung condition that is the result of inhaling large amounts of silica dust.

Philips CT 5300

New AI-enabled CT system is officially available in North America

The scanner is equipped with features aimed at addressing some of the biggest pain points of both radiologists and technologists.

Incidental interstitial lung abnormalities largely underreported

Less than half of incidental interstitial lung abnormalities on CT exams are reported

This is despite experts cautioning that these findings should be "systematically and fully assessed" due to their progressive nature.

More than 1/3 of old strokes are incidentally detected on head CT

A new analysis in JACR estimates that spotting the signs of a previously undetected stroke could benefit up to 200,000 people in the United States every year.

Deep learning recons reduce contrast and radiation doses in aortic CTA

Deep learning reconstruction cuts radiation and contrast dose by half in aortic CTA exams

A new analysis in Academic Radiology dives into the importance of finding balance between reducing radiation exposure while maintaining image quality. 

Around the web

RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.

Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.

A total of 16 cardiology practices from 12 states settled with the DOJ to resolve allegations they overbilled Medicare for imaging agents used to diagnose cardiovascular disease.