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.

Significant variability found in pediatric CT imaging interpretations
Such discordance between pediatric and general radiologists could result in care delays and treatment changes.
AI bests radiologists at predicting lung cancer treatment responses
More accurate response assessments could give providers an opportunity to proactively manage treatment decisions in the future.
FDA clears AI solution for identifying large vessel occlusions on CTA
If left untreated, LVOs can cause ischemic strokes. The algorithm has the potential to significantly reduce time to treatment in these emergency scenarios.
Beyond just nodules—model uses all low-dose CT data to make long-term lung cancer risk predictions
New findings published in RSNA's Radiology highlight the shortcomings of using nodule characteristics and patient history alone to predict an individual’s true cancer risk.
‘Direct-to-patient’ digital prompt boosts CT lung cancer screening uptake
Researchers with two academic health systems recently tried a new approach to increase LDCT uptake, reaching patients electronically outside of a regular appointment and asking them to request a screening.

africa looks to artificial intelligence for healthcare improvement

Large volume of radiologist reporting-backlogs an ‘urgent global issue’

Anecdotal reports indicate that radiologists are struggling to keep up with rising demand, but researchers sought to better quantify this crisis.

Cardiac imaging expert Renee Bullock-Palmer, MD, explains how calcium scoring can determine if patients need to be on statins or not.

CT calcium scoring can determine if patients need statins

Renee Bullock-Palmer, MD, director, non-invasive cardiac imaging, at the Deborah Heart and Lung Center, explains CT calcium scoring can determine if a patient needs to take aspirin and statins for prevention of coronary disease.

VR app simulates imaging room, patient and CT unit to teach techs how to scan

In a virtual reality environment, no patient or technologist is exposed to radiation.

Large crowd in the recruiters row on the RSNA expo floor. There was a record number of recruiters at RSNA this year as the radiologist shortage begins to hurt many healthcare systems. The shortage was also brought up in nearly all discussions Radiology Business has at RSNAS 2023. #RSNA #RSNA23 #RSNA2023

4 key trends in radiology at RSNA 2023

The rapidly growing shortage of radiologists and technologists was by far the biggest concern discussed across the Radiological Society of North America meeting.

Philips Vanderbilt Carbon Emissions Warning

How radiology departments can decarbonize, save money

Philips and Vanderbilt University Medical Center have released findings from their efforts to reduce waste in the hospital's radiology department.

FDA clears PET/CT scanner from Siemens Healthineers

The Biograph Vision.X is able to deliver an estimated 20% performance improvement, bolstering throughput while reducing radiotracer costs.

RSNA announces winners of abdominal trauma AI challenge

The Radiological Society of North America's latest contest focused on the detection and classification of injuries in the abdomen.

Image-guided treatment may restore sense of smell in long-COVID patients

“Other treatments have failed to date. This injection is working,” said lead author Adam Zoga, MD, MBA, a professor of radiology at Jefferson Health.

Computed Tomography

Significant variability found in pediatric CT imaging interpretations

AI bests radiologists at predicting lung cancer treatment responses

FDA clears AI solution for identifying large vessel occlusions on CTA

Beyond just nodules—model uses all low-dose CT data to make long-term lung cancer risk predictions

‘Direct-to-patient’ digital prompt boosts CT lung cancer screening uptake