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 automation could 'revolutionize' Crohn's Disease severity CT assessments
Machine learning models could help create a more standardized, reproducible and efficient way of grading Crohn’s disease severity in the small bowel based on CT imaging.
New publicly available deep learning model for CT organ segmentation in children shows promise
The model was developed and validated specifically for liver, spleen and pancreas segmentation, and outperformed a publicly available segmentation model already in use.
A significant amount of imaging orders in emergency settings are inappropriate
A general lack of awareness pertaining to ACR appropriateness criteria could be a driving factor behind the misguided requisitions, authors of a new analysis suggest.
AI improves CT assessments, boosts care for real-world heart patients
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.
ChatGPT shows 'significant promise' in guiding contrast-related decisions
This could be especially helpful when timely clinical decisions relative to the use of a contrast agent need to be made.

More than 17% of emergency CTA results forced radiologists to break normal chain of communication

Yale physicians analyzed more than 700,000 visits from 236,000 patients for their results, shared in the American Journal of Roentgenology.

September 29, 2021

Ultra-high-resolution CTA accurately assesses severely calcified vessels, overcoming CT’s limitations

The technique notched high image quality scores while detecting stenosis with 86% sensitivity and 88% specificity, Johns Hopkins researchers reported.

September 2, 2021

Artificial intelligence specialist wins FDA clearance for brain injury CT software

Clinicians can use the tool to automatically quantify, outline and measure brain abnormalities during emergency situations.

August 19, 2021

Radiologists investigate learning curve for performing CT-guided thoracic biopsies

One study found rads who performed fewer than 100 percutaneous transthoracic procedures had more than double the risk of false negatives.

August 18, 2021

Routine CT scans offer radiologists opportunity to detect costly bone problems

A Mount Sinai School of Medicine-led team said such scans should be used to spot possible osteoporosis.

August 12, 2021

CMS renews payment coverage for Viz.ai’s stroke CT platform

The San Francisco-based AI vendor said CMS evaluated other companies, but only chose to renew reimbursement for Viz LVO due to "strong clinical outcomes."

August 4, 2021

Disproportionate CT use for minor injuries is pushing emergency spine imaging utilization skyward

More than 800,000 of the 40 million annual ED visits in the U.S. now involve spine injuries, and imaging use for these traumas has tripled in some populations.

August 3, 2021

AI software helps radiologists cut unnecessary chest CT scans by 30%

Patients also benefit by avoiding unneeded radiation exposure, while healthcare systems sidestep added medical costs.

July 29, 2021

Around the web

Cardiovascular Business

AI improves CT assessments, boosts care for real-world heart patients

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Cardiovascular Business

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.

Radiology Business

Google teams with Bayer to address radiologist burnout via AI

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.