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Multi-Energy Evaluation of Image Quality in Spectral CT Pulmonary Angiography Using Different Strength Deep Learning Spectral Reconstructions.

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Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and the Norman Fixel Institute for Neurological Diseases, University of Florida College of Medicine, Gainesville, FL (M.H-S., H.S.S., A.G.R., S.E.M., J.C.P., E.Y.A., B.H., R.F.); Department of Radiology, University of Florida College of Medicine, Gainesville, FL (M.H-S., H.S.S., A.G.R., J.C.P., E.Y.A., B.H., R.F.); Division of Medical Physics, University of Florida College of Medicine, Gainesville, FL (R.F.); Department of Neurology, Division of Movement Disorders, University of Florida College of Medicine, Gainesville, FL (R.F.); Department of Otolaryngology - Head and Neck Surgery, McGill University, Montreal, Quebec, Canada (R.F.); Department of Radiology, AdventHealth Medical Group, Maitland, FL (R.F.). Electronic address:

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).

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Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, PO Box 5800, 6202 AZ Maastricht, the Netherlands; Mental Health and Sciences (MHeNs) Research Institute, Maastricht University, PO Box 616, 6200 MD Maastricht, the Netherlands.

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Previous studies demonstrated that dexmedetomidine (Dex) posttreatment aggravated myocardial dysfunction and reduced survival in septic mice. Yet, whether Dex elicits similar effects in septic patients as defined by Sepsis-3 remains unknown. This study sought to assess the effects of Dex-based sedation on mortality and cardiac dysfunction in septic patients defined by Sepsis-3 and to further reveal the mechanisms in septic rats.

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