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.

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.
Over half of emergency CT requests are considered 'inadequate'
Up to 72% of CT requisitions from ED providers could be considered inadequate according to RI-RADS, which was developed to evaluate the clinical reasoning quality of imaging orders.

AI algorithm effectively repurposes CT scans to screen for 2 key chronic diseases

Experts are hopeful that routine CT scans could serve the dual purpose of screening patients for both osteoporosis and heart disease.

doctor wrong patient wrong-site surgery medical error malpractice mistake

Coroner calls for action after radiology staff scans the wrong patient, fails to catch mistake

A radiology department is in hot water following a case of mistaken identity that resulted in a delayed diagnosis.

FDA clears world's first upright cone-beam CT scanner

The device is intended for use in orthopedics, where weight-bearing imaging can make a significant difference in diagnosis and treatment.

How CT colonography compares to other popular colorectal cancer screening options

At the start of 2025, CMS issued a national coverage determination on CTC that led to widespread insurance coverage of the exam.

Ischemic stroke shown in CT scans. Image courtesy of RSNA

Imaging markers of brain frailty linked to functional outcomes in stroke patients

Such baseline neuroimaging markers could provide clues into how patients will respond to treatment, and thrombolysis in particular.

Radiology providers from Israel share how their hospital handled the mass casualties caused by the October 2023 terror attacks.

Radiology lessons learned from the 2023 terror attacks in Israel

Soroka University Medical Center served as the primary evacuation destination after the attack, accepting nearly 700 injured patients, most of whom needed medical imaging.

AI triage software significantly reduces radiology report turnaround times, with a caveat

Researchers with the U.S. FDA recently assessed the impact of one such product for pulmonary embolism, with mixed results depending on the time of day.

How the nation’s largest teleradiology group significantly strengthened stroke reporting

VRad has looked to improve use of the Alberta Stroke Program Early CT Score (or ASPECTS) through email reminders, educational materials and workflow prompts.

Computed Tomography

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

Over half of emergency CT requests are considered 'inadequate'