Women's Health CT

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

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New research suggests the use of high-pitch photon-counting computed tomography (PCCT) facilitates similar image quality and attenuation in the pulmonary trunk at lower iodinated contrast media (ICM) dosing levels ranging from 35 to 60 ml.

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The artificial intelligence (AI) software facilitates high-resolution three-dimensional computed tomography (CT) images of the breast.

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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In a review of patient data from 42 countries, researchers found that standardized typical findings on computed tomography (CT) for COVID-19 had a pooled sensitivity rate of 70 percent and a pooled specificity rate of 90 percent.

Catch up on the top five most viewed content at Diagnostic Imaging for the month of May 2023.

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.

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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.

In a subgroup analysis of patients with intracerebral hemorrhage who had intraventicular hemorrhage (IVH) growth, researchers found that hypodensities on non-contrast computed tomography (CT) were associated with more than double the risk for greater than 1 mL of expanded IVH (eIVH).

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Unvaccinated people with COVID-19 who undergo angiographic reperfusion after acute ischemic stroke may have a greater than fivefold risk of continued infarct growth in comparison to unvaccinated people without COVID-19, according to computed tomography perfusion (CTP) and magnetic resonance imaging (MRI) findings from a recently published study.

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.

Updates to Contour ProtegeAI 4.0 reportedly include enhanced algorithms for radiation oncology segmentation and molecular radiotherapy.

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