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.

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.

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.

Research highlights rampant 'over-scanning' during pediatric CT exams

Experts involved in the study caution that this increases children’s risk of developing radiation-induced malignancies down the road.

How one hospital more than doubled its lung cancer screening rate

It is estimated that less than 20% of eligible patients in the U.S. adhere to LCS recommendations, despite numerous studies highlighting the exam’s effectiveness.