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.

ACR releases new guidance to help radiologists manage incidental lung findings on CT scans

The 13-page white paper touches on everything from specific findings and reporting terms, to balancing a patients' risk and benefits.

July 8, 2021

Radiologists utilize novel CAD-RADS in 95% of coronary CTA reports

Massachusetts General Hospital doctors analyzed Coronary Artery Disease Reporting and Data System usage in their high-volume cardiac CT services center for the study.

July 7, 2021

Hybrid imaging detects results missed by CT in patients with deadly pancreatic cancer

German researchers used 68Ga-FAPI PET/CT imaging to analyze 19 patients with pancreatic ductal adenocarcinomas.

July 6, 2021

Why radiologists must carefully evaluate patient heart rates prior to coronary CTA exams

The number of CCTA exams is set to grow alongside an aging population and providers are key to ensuring these tests are high-quality.

June 16, 2021

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.

May 21, 2021

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.

April 2, 2021

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.

March 19, 2021

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.

December 8, 2020

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.