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.

‘One-stop shop’ CT protocol boosts definitive diagnostic rates in patients with acute chest pain

The comprehensive approach yields crucial information usually obtained via CT and MRI, which can cut time to diagnosis, experts explained.

December 8, 2021

Body CT scans detect infection areas among ICU patients with sepsis

While guidelines stress the importance of quickly eradicating the underlying source of infection, data on the best imaging strategy remains lacking, researchers reported.

December 6, 2021

RSNA21: Deep learning automatically labels coronary arteries to produce structured CCTA reports

The algorithm yielded a 94.4% accuracy for labeling arteries in accordance with the Society of Cardiovascular Computed Tomography guidelines.

December 2, 2021

AI performs well when detecting intracranial hemorrhage on brain CT, but further research is ‘critical’

Experts cited positive findings but stopped short of recommending convolutional neural networks as the go-to standard of care for detecting ICH.

November 24, 2021

Deep learning image reconstruction decreases radiation dose 43% on coronary CTA scans

The algorithm doesn't add nor lose any image information needed to assess coronary plaques, experts said.

November 19, 2021

Patients prefer spiral breast CT over digital mammography—and diagnostic results are comparable

Premenopausal women benefit most from spiral breast computed tomography, experts said this week.

November 18, 2021

CMS says evidence is sufficient to expand Medicare coverage for low-dose CT lung cancer screening

The Centers for Medicare & Medicaid Services wants to lower the starting age from 55 down to 50 while also modifying required smoking pack-years.

November 18, 2021

Low-dose CT scans just as accurate as standard for diagnosing appendicitis

The findings should encourage physicians to utilize LDCT in emergency settings to avoid unnecessary radiation.

November 12, 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.