Search Results - "Aquino, Gilberto J"
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Stent imaging on a clinical dual-source photon-counting detector CT system—impact of luminal attenuation and sharp kernels on lumen visibility
Published in European radiology (01-04-2023)“…Objectives To assess the impact of scan modes and reconstruction kernels using a novel dual-source photon-counting detector CT (PCD-CT) on lumen visibility and…”
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Paucity of Coronary Artery Calcium Research in Low‐Middle Income Countries: A Call to Action
Published in Journal of the American Heart Association (03-08-2021)Get full text
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Intraindividual reproducibility of myocardial radiomic features between energy-integrating detector and photon-counting detector CT angiography
Published in European radiology experimental (28-08-2024)“…Background Radiomics is not yet used in clinical practice due to concerns regarding its susceptibility to technical factors. We aimed to assess the stability…”
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Impact of reconstruction parameters on the accuracy of myocardial extracellular volume quantification on a first-generation, photon-counting detector CT
Published in European radiology experimental (19-06-2024)“…Background The potential role of cardiac computed tomography (CT) has increasingly been demonstrated for the assessment of diffuse myocardial fibrosis through…”
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Intra-individual comparison of coronary calcium scoring between photon counting detector- and energy integrating detector-CT: Effects on risk reclassification
Published in Frontiers in cardiovascular medicine (19-01-2023)“…To compare coronary artery calcium volume and score (CACS) between photon-counting detector (PCD) and conventional energy integrating detector (EID) computed…”
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S2936 Isolated Melanosis Ilei Without Colonic Involvement: A Case Report
Published in The American journal of gastroenterology (01-10-2021)Get full text
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Myocardial Characterization with Extracellular Volume Mapping with a First-Generation Photon-counting Detector CT with MRI Reference
Published in Radiology (01-04-2023)“…Background Photon-counting detector (PCD) CT provides comprehensive spectral data with every acquisition, but studies evaluating myocardial extracellular…”
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Kaolin Pneumoconiosis
Published in The American journal of medicine (01-03-2021)Get full text
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Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study
Published in American journal of roentgenology (1976) (01-11-2022)“…Deep learning-based convolutional neural networks have enabled major advances in development of artificial intelligence (AI) software applications. Modern AI…”
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Prognostic value of epicardial adipose tissue volume in combination with coronary plaque and flow assessment for the prediction of major adverse cardiac events
Published in European journal of radiology (01-03-2022)“…•CT-derived EAT assessment demonstrates high discriminatory power to predict MACE.•EAT shows superior diagnostic performance over Morise score, CCTA-derived…”
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Impact of machine-learning-based coronary computed tomography angiography–derived fractional flow reserve on decision-making in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement
Published in European radiology (01-09-2022)“…Objectives To evaluate feasibility and diagnostic performance of coronary CT angiography (CCTA)–derived fractional flow reserve (CT-FFR) for detection of…”
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Coronary CT Fractional Flow Reserve before Transcatheter Aortic Valve Replacement: Clinical Outcomes
Published in Radiology (01-01-2022)“…Background The role of CT angiography-derived fractional flow reserve (CT-FFR) in pre-transcatheter aortic valve replacement (TAVR) assessment is uncertain…”
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Intra-individual Comparison of Image Quality of the Coronary Arteries Between Photon-Counting Detector and Energy-Integrating Detector CT Systems
Published in European journal of radiology (01-09-2023)“…•Intraindividual comparison of photon-counting and energy-integrating systems for CCTA.•Virtual monoenergetic images were generated for photon-counting…”
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14
Diagnostic accuracy and performance of artificial intelligence in measuring left atrial volumes and function on multiphasic CT in patients with atrial fibrillation
Published in European radiology (01-08-2022)“…Objectives To evaluate the effectiveness of a novel artificial intelligence (AI) algorithm for fully automated measurement of left atrial (LA) volumes and…”
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15
Artificial Intelligence Improves Prediction of Major Adverse Cardiovascular Events in Patients Undergoing Transcatheter Aortic Valve Replacement Planning CT
Published in Academic radiology (09-10-2024)“…Coronary CT angiography (CCTA) is mandatory before transcatheter aortic valve replacement (TAVR). Our objective was to evaluate the efficacy of artificial…”
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Utility of Functional and Volumetric Left Atrial Parameters Derived From Preprocedural Cardiac CTA in Predicting Mortality After Transcatheter Aortic Valve Replacement
Published in American journal of roentgenology (1976) (01-03-2022)“…Cardiac CTA is required for preprocedural workup before transcatheter aortic valve replacement (TAVR) and can be used to assess functional parameters of the…”
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Automated Dual-energy Computed Tomography-based Extracellular Volume Estimation for Myocardial Characterization in Patients With Ischemic and Nonischemic Cardiomyopathy
Published in Journal of thoracic imaging (01-09-2022)“…We aimed to validate and test a prototype algorithm for automated dual-energy computed tomography (DECT)-based myocardial extracellular volume (ECV) assessment…”
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Diagnostic Accuracy and Performance of Artificial Intelligence in Detecting Lung Nodules in Patients With Complex Lung Disease: A Noninferiority Study
Published in Journal of thoracic imaging (01-05-2022)“…The aim of the study is to investigate the performance of artificial intelligence (AI) convolutional neural networks (CNN) in detecting lung nodules on chest…”
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Computed tomographic assessment of right ventricular long axis strain for prognosis after transcatheter aortic valve replacement
Published in European journal of radiology (01-04-2022)“…To investigate the predictive value of right ventricular long axis strain (RV-LAS) derived by cardiac computed tomography angiography (CCTA) for mortality in…”
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Deep Learning-Based Automated Labeling of Coronary Segments for Structured Reporting of Coronary Computed Tomography Angiography in Accordance With Society of Cardiovascular Computed Tomography Guidelines
Published in Journal of thoracic imaging (01-03-2024)“…To evaluate a novel deep learning (DL)-based automated coronary labeling approach for structured reporting of coronary artery disease according to the…”
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