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Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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Fully automated cardiac magnetic resonance imaging provides efficient and accurate risk prediction for patients undergoing transcatheter aortic valve replacement (TAVR), matching manual methods while saving time.

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Area of Science:

  • Cardiology
  • Medical Imaging
  • Artificial Intelligence in Medicine

Background:

  • Cardiovascular magnetic resonance imaging (CMR) is the gold standard for cardiac assessment and prognostic evaluation in transcatheter aortic valve replacement (TAVR) patients.
  • Novel fully automated CMR analyses offer potential efficiency gains but require validation against traditional manual methods in severe aortic stenosis (AS).

Purpose of the Study:

  • To compare the prognostic performance of fully automated versus manual biventricular assessments using CMR in patients with severe AS scheduled for TAVR.
  • To evaluate the time efficiency of fully automated CMR analysis.

Main Methods:

  • Biventricular volumetric assessments (LV/RV volumes, mass, EF) were performed using both fully automated and manual methods in 139 AS patients prior to TAVR.
  • Comparison of results included regression analyses and receiver operating characteristic curves to predict cardiovascular death.
  • Time taken for analysis was recorded.

Main Results:

  • Fully automated and manual assessments of left ventricular ejection fraction (LVEF) demonstrated similar predictive capabilities for cardiovascular mortality in univariable and multivariable analyses.
  • No significant difference was observed in the area under the curve (AUC) for LVEF between automated (0.686) and manual (0.661) methods (p=0.21).
  • Fully automated quantification significantly reduced analysis time by 10 minutes per patient, although absolute volumetric values differed significantly between methods.

Conclusions:

  • Fully automated CMR biventricular volumetric assessments are efficient and provide equivalent risk prediction to manual methods in severe AS patients undergoing TAVR.
  • Automated analysis offers significant time savings, potentially enhancing clinical management and risk stratification.