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.

Provider groups blast ‘woefully inadequate’ CMS pay update for inpatient care

The agency also is proposing a new measure in the IQR program related to excessive radiation dose or inadequate image quality via CT.

radiology reporting EHR health record CDS AUC

Lessons learned from 7 years of structured radiology reporting at 1 institution

The University Medical Center Mainz recently surveyed radiologists and referrers to gather feedback on the change.

Jury absolves radiologist in $10M alleged malpractice case

The estate of a 41-year-old Virginia man claimed that radiologist Thomas Zumsteg missed signs of an aortic dissection on CT.

10-year imaging study examines long-term side effects of smoking cigarettes

The findings support the notion that it is never too late to quit smoking, as the benefits of doing so are clear, experts involved in the study suggested.

Example of data generated by an automated artificial intelligence (AI) brain CT assessment tool from Annalise.ai at RSNA 2022. What does brain imaging look like?

AI company racks up 7 new FDA clearances for image triage and notification solutions

The Australia-based company made the announcement on April 12 in a release that described the timing of these AI-assisted solutions as “increasingly important” amid growing workloads and staffing shortages.

AI detects more than half of metastases overlooked by radiologists on CT

Reasons for the gap between AI and rads could include the physician's physical and mental condition at the time of the study, experts noted.

CCTA with patient-specific versus fixed post-trigger delay

Patient-specific versus fixed post-trigger delay: Which offers superior CCTA image quality?

New research compares peak enhancement timing of a patient-specific post-trigger delay and a fixed delay during CCTA.

The European Society of radiology European Congress of Radiology (ECR) 2023 meeting. Image courtesy of ECR

Key trends in radiology at the European Congress of Radiology 2023 meeting

Bhvita Jani, research manager at the healthcare market analysis firm Signify Research, shares noteworthy happenings from the ECR expo floor.

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