Purpose: To evaluate whether adult and pediatric trauma center status, as well as the presence of dedicated child protection teams, influences radiology resident performance in detecting non-accidental trauma on the Emergent/Critical Care Imaging Simulation (WIDI SIM) exam.
Materials And Methods: We retrospectively analyzed 639 WIDI SIM exam scores for four pediatric non-accidental trauma cases completed by radiology residents across 33 programs. Residents were stratified by level (R1-R4) and institutional factors, including adult trauma center status, pediatric trauma center status, and child protection team presence.
Rationale And Objectives: To evaluate and compare image quality of different energy levels of virtual monochromatic images (VMIs) using standard versus strong deep learning spectral reconstruction (DLSR) on dual-energy CT pulmonary angiogram (DECT-PA).
Materials And Methods: A retrospective study was performed on 70 patients who underwent DECT-PA (15 PE present; 55 PE absent) scans. VMIs were reconstructed at different energy levels ranging from 35 to 200 keV using standard and strong levels with deep learning spectral reconstruction.
Most balance assessment studies using inertial measurement units (IMUs) in smartphones use a body strap and assume the alignment of the smartphone with the anatomical axes. To replace the need for a body strap, we have used an anatomical alignment method that employs a calibration maneuver and Principal Component Analysis (PCA) so that the smartphone can be held by the user in a comfortable position. The objectives of this study were to determine if correlations existed between angular velocity scores derived from a handheld smartphone with PCA functional alignment vs.
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