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.

Many CT techs unprepared to manage adverse contrast reactions

Though rare, some reactions can be life-threatening, making the understanding of how to appropriately manage them a critical aspect of a technologist's responsibilities.  

lung cancer screening

Percutaneous transthoracic core needle biopsy: 3 factors that influence procedural success

A new analysis in Clinical Radiology is intended to help guide interventional radiologists in their decision-making processes regarding PCNB to reduce the likelihood of diagnostic failure. 

GE CCTA

New scanners and strategies for the ‘golden age of CCTA’

Sponsored by GE Healthcare

As coronary CT angiography (CCTA) continues its rapid expansion, scanner vendors are now offering more economical solutions to ensure access to imaging technology beyond premium systems most often only found at flagship hospitals and academic centers. To conquer CCTA’s technical challenges, new technologies and AI are being incorporated into a new scanner to simplify acquisition and consistently improve image quality. 

An overview of artificial intelligence (AI) in radiology with Keith Dreyer with the ACR. Images shows a COVID-19 lung CT scan reconstruction from Siemens Healthineers. #AI #radAI #ACR

Ultralow-dose CT aids in diagnosing pneumonia among immunocompromised patients

In a prospective study involving 54 adults, ultralow-dose CT, denoised with deep learning, “substantially” cut radiation exposure while accurately detecting pneumonia. 

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American College of Radiology announces significant expansion of Lung Cancer Screening Registry

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.

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FDA clears AI-assisted CCTA software that assesses plaques for signs of heart disease

Caristo Diagnostics, an Oxford-based medtech company founded by cardiologists, has gained FDA clearance for its CaRi-Plaque technology.

AI beats standard regression models at predicting lung cancer risk

Not all AI or regression models are the same, nor do they all incorporate the same data when assessing patient risk.

Building a successful CCTA program: Physicians and healthcare executives to share advice

CCTA continues to grow more and more important in the day-to-day treatment of heart patients. Hospitals and health systems that fail to embrace the modality risk falling behind.

Around the web

Clinicians have been using HeartSee to diagnose and treat coronary artery disease since the technology first debuted back in 2018. These latest updates, set to roll out to existing users, are designed to improve diagnostic performance and user access.

The cardiac technologies clinicians use for CVD evaluations have changed significantly in recent years, according to a new analysis of CMS data. While some modalities are on the rise, others are being utilized much less than ever before.

The new guidelines were designed to ensure sonographers and other members of the heart team have the information they need to screen patients when appropriate and identify early warnings signs of PH.