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.

CT colonography the most cost-effective cancer screening option for many
Findings from the Neiman Health Policy Institute and Northwell Health indicate that CTC is especially beneficial for underserved populations.
AI-enabled coronary plaque quantification outperforms traditional risk scores
Researchers used AI-enabled software developed by Cleerly to evaluate the CCTA results of more than 6,000 patients. The software was consistently effective, identifying patients who may face an increased risk of poor outcomes.
Coronary calcium may predict a patient's risk of dying from noncardiac conditions
Calcium in the coronary arteries is a known cardiac risk factor. However, new data suggest it may actually tell us more about a person's overall health than researchers previously believed.
CCTA will play an essential role in the cath labs of the future
Noninvasive coronary CT angiography is growing more and more important as time goes on, helping cardiologists make critical treatment decisions. Carlos Collet, MD, PhD, discussed the technique's potential to be a real game-changer for patient care in a new interview.
Significant variability found in pediatric CT imaging interpretations
Such discordance between pediatric and general radiologists could result in care delays and treatment changes.

CT colonography the most cost-effective cancer screening option for many

Findings from the Neiman Health Policy Institute and Northwell Health indicate that CTC is especially beneficial for underserved populations.

AI-enabled coronary plaque quantification outperforms traditional risk scores

Researchers used AI-enabled software developed by Cleerly to evaluate the CCTA results of more than 6,000 patients. The software was consistently effective, identifying patients who may face an increased risk of poor outcomes.

Coronary calcium may predict a patient's risk of dying from noncardiac conditions

Calcium in the coronary arteries is a known cardiac risk factor. However, new data suggest it may actually tell us more about a person's overall health than researchers previously believed.

Carlos Collet, MD, PhD, director, cardiovascular imaging, physiology and translational therapeutics, Cardiovascular Research Foundation, explains how noninvasive coronary CT angiography (CCTA) assessments will play a major role to eliminate invasive diagnostic angiography and to pre-plan percutaneous coronary intervention (PCI) procedures.

CCTA will play an essential role in the cath labs of the future

Noninvasive coronary CT angiography is growing more and more important as time goes on, helping cardiologists make critical treatment decisions. Carlos Collet, MD, PhD, discussed the technique's potential to be a real game-changer for patient care in a new interview.

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.