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.

Serial transverse CT scans in a 65-year-old man with severe COVID-19 from 23-days after infection to 2-year follow up. The newest followup images on the right showed presence of subtle, subpleural honeycombing at the same area (black arrows). Image courtesy of Radiology. #longcovid #covidlonghauler #lungdamagecovid

Severe COVID patients continue to evidence lung abnormalities 2 years after initial infection

Scans on these patients show a combination of fibrosis, thickening, honeycombing, cystic changes and dilation of the bronchi, among other imaging features.

February 14, 2023

Risk model-based lung cancer screening more cost-effective than USPSTF guidelines

Using risk model-based strategies to determine who should undergo low-dose CT lung cancer screening is more cost effective than current U.S. Preventive Services Task Force guidelines.

February 7, 2023
#CTA #acuteischemicstroke #AIS #radiomics

CTA-based radiomics can reliably estimate time since stroke onset

Radiomics features could be especially useful for determining TSS in scenarios where clinical data is lacking or unreliable, such as when patients have altered mental status.

January 27, 2023
#CTA #photoncountingCT #aortaCT

Photon counting cuts CTA contrast dosage 25%

Not only does the low-volume contrast protocol preserve supplies, it also protects patients who might be vulnerable to adverse reactions and/or side effects from contrast use. 

January 26, 2023

A 'clear lack of adherence' in imaging guidelines is impacting lung cancer survival rates

A study published in the January issue of the Journal of Nuclear Medicine reveals that nearly half of Medicare patients with NSCLC in the United States do not complete recommended FDG PET/CT scans prior to treatment.

January 19, 2023
Example of artificial intelligence generated measurements to quantify the size of a lung cancer nodule during a followup CT scan to see if the lesion is regressing with treatment. This type of automation can aid radiologists by doing the tedious, time consuming work. Photo by Dave Fornell

8 trends in radiology technology to watch in 2023

Here is a list of some key trends in radiology technology from our editors based on our coverage of the radiology market.

January 18, 2023
Blood pressure

New type of PET/CT scan could change how hypertension is diagnosed and treated

The 10-minute scan can “light up” aldosterone-producing nodules in the adrenal glands following an injection of metomidate—a radioactive dye that binds specifically to aldosterone-producing nodules.

January 17, 2023
cerebrovascular injury #traumaimaging #vascularimaging #vascularinjury

New research discourages use of advanced vascular imaging in trauma patients

Experts argue that the overall incidence of blunt cerebrovascular injury is very low and that symptomatic vascular injuries in these cases are even lower. 

January 16, 2023

Around the web

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.

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

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

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