Women's Health CT

Emerging research suggests that achieving an optimal virtual monoenergetic image (VMI) energy level with photon-counting computed tomography (CT) may allow up to a 40 percent reduction of contrast media dosing for coronary CT angiography.

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In a study of over 20,700 people, researchers found that artificial intelligence (AI) analysis of body composition measurements via lung cancer screening computed tomography (CT) exams improves the prediction of mortality risks for lung cancer, cardiovascular disease, and all-cause mortality.

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In a study of nearly 2,500 patients with incidental pulmonary nodules (IPN) on chest computed tomography (CT) exams, 69.5 percent of those in the highest quartile of the CDC’s Social Vulnerability Index (SVI) had inappropriate IPN follow-up in comparison to 54.3 percent of those in the lowest quartile of the CDC SVI.

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For conditions ranging from interstitial lung disease and post-COVID-19 complications to idiopathic pulmonary fibrosis, photon-counting computed tomography (PCCT) facilitates simultaneous functional and morphologic lung assessment at lower radiation dosing than conventional chest CT, according to newly published research.

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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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.

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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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