Cardiac CT

Catch up on the top AI-related news and research from the past month.

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Superfluous pan scans have become standard for a vast majority of minor injury presentations in emergency room settings.

The InterView Fusion and InterView XP reportedly improve image quality for single-photon emission computed tomography (SPECT) and offer imaging tools specifically geared to common nuclear medicine studies ranging from bone imaging to cardiac assessment and lung imaging.

In a study cohort of patients undergoing pre-operative workup for transcatheter aortic valve replacement (TAVR), researchers found the use of photon-counting CT for ultra-high resolution coronary CT angiography had a 96 percent sensitivity rate and an 84 percent specificity rate for the detection of coronary artery disease (CAD).

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In a recent video interview from the Society for Imaging Informatics in Medicine (SIIM) conference, Ali Tejani, M.D., discussed pertinent insights on leveraging the value of adjunctive artificial intelligence (AI)-enabled triage software for computed tomography (CT) scans with radiology workflow improvements to achieve “clinically meaningful change” for patients with incidental pulmonary emboli findings.

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The use of contrast-enhanced computed tomography (CECT) was associated with more than double the risk of contrast-induced acute kidney injury (CI-AKI) in patients with diabetes and an estimated glomerular filtration rate (eGFR) less than 30 mL/min/1.73 m2 in comparison to the use of non-contrast CT in this population.

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Catch up on the top radiology content of the past week.

Precision DL, a deep learning-based software which will be available on GE HealthCare’s Omni Legend PET/CT device, reportedly increases the detectability of small, low-contrast lesions by 42 percent.

Photon-counting computed tomography (PCCT) significantly increased the signal-to-noise ratio (SNR) and the contrast-to-noise ratio (CNR) in comparison to dual-source CT (DSCT) at similar radiation dosing, according to a new study of over 100 children with suspected congenital heart defects.

Catch up on the top radiology content of the past week.

Catch up on the top AI-related news and research from the past month.

In what may be the first comparative study of the polygenic risk score and the computed tomography (CT)-derived coronary artery calcium (CAC) score for assessing coronary heart disease (CHD) risk, researchers found that the CAC score was associated with significant improvements in assessing and stratifying risk for the development of CHD in middle-aged to older adults.

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The artificial intelligence (AI)-enabled CT 3500 system reportedly reduces patient positioning time by 23 percent, improves low-contrast detectability by 60 percent and facilitates up to an 80 percent reduction in radiation dosing.

In a large retrospective study of 26,455 participants from the National Lung Screening Trial, low dose computed tomography (LDCT) exams revealed significant incidental findings (SIFs), ranging from emphysema to suspicious lesions, in 8,954 participants.

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Revising a March 2022 recommendation, the Food and Drug Administration (FDA) said thyroid monitoring for young children three years of age and under receiving iodinated contrast media (ICM) in relation to contrast-enhanced computed tomography (CECT) can now be reserved for those with risk factors including prematurity, low birth weight or conditions affecting thyroid function.

Catch up on the top AI-related news and research from the past month.

While one computed tomography (CT) scan appears to have no elevated cancer risk in pediatric patients, four or more pediatric exposures to CT scans are associated with increased risks for intracranial tumor, leukemia, and non-Hodgkin lymphoma, according to newly published research out of Taiwan.

Lamenting a lack of control over imaging requests from referring clinicians, this author suggests that a more collaborative approach between referrers and radiologists may facilitate more efficient use of imaging.