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.

Deep learning automates head CT reformatting, bolstering workflow efficiencies
Manual processes for generating reformats are susceptible to variability, due to factors such as patient positioning, comfort and individual technologist preferences.
How to take your CCTA program to the next level
Changing society guidelines and insurance policies have resulted in more interest in CCTA. To help your CCTA program expand, one expert told Cardiovascular Business, it is important to remember the close relationship between cardiology and radiology.
Medicare policy sowing cancer screening confusion, American College of Radiology says
The college is urging the federal payment program to modify its policies to reflect expanded coverage for CT-based colorectal cancer screening.
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.
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.

AI powers dual CT screening for lung cancer and cardiovascular disease

Rensselaer Polytechnic Institute teamed up with clinicians at Massachusetts General Hospital to develop and test the deep learning tool.

CT data shows high rates of emphysema among marijuana users

Radiologists should take note of these findings as the drug's popularity and legalization continue to climb.

Mobile stroke units improve patient outcomes, reduce risk of disability

Researchers tracked data from more than 1,000 patients who received care from 2014 to 2020.

New pulmonary embolism approach could substantially reduce imaging overuse

The pretest probability score produced false-negative rates below 1% and dropped imaging use by about 20%, according to a new JAMA Cardiology study.

AI spots dozens of missed incidental pulmonary embolism diagnoses at one hospital

The investigation was retrospective, but Duke scientists believe their algorithm could potentially aid radiologists in spotting near-misses in their work.

Society of Cardiovascular Computed Tomography shares new CCTA guidance

The guidance, published in full in the Journal of Cardiovascular Computed Tomography, includes updates to previous CCTA recommendations and was designed to answer common questions.

Cigna stops requiring prior authorization for certain CT imaging exams

Imaging advocates praised the policy change, which took effect on Monday, Feb. 1.

CCTA is a safe, effective alternative to SPECT in patients with stable chest pain

The findings come by way of the RESCUE Trial, which included more than 1,000 participants from 44 different sites.

Computed Tomography

Deep learning automates head CT reformatting, bolstering workflow efficiencies

How to take your CCTA program to the next level

Medicare policy sowing cancer screening confusion, American College of Radiology says

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

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