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  1. 5581
    por Meng, Xianchun, Liu, Yuying
    Publicado 2020
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    Chest Imaging Tests versus RT-PCR Testing for COVID-19 Pneumonia: There Is No Best, Only a Better Fit
  2. 5582
    “…OBJECTIVE: To retrospectively analyze and stratify the initial clinical features and chest CT imaging findings of patients with COVID-19 by gender and age. …”
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    A retrospective study of the initial chest CT imaging findings in 50 COVID-19 patients stratified by gender and age
  3. 5583
    “…OBJECTIVE: The chest radiograph (CXR) is the predominant imaging investigation being used to triage patients prior to either performing a SARS-CoV-2 polymerase chain reaction (PCR) test or a diagnostic CT scan, but there are limited studies that assess the diagnostic accuracy of CXRs in COVID-19. …”
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    Diagnostic accuracy of initial chest radiograph compared to SARS-CoV-2 PCR in patients with suspected COVID-19
  4. 5584
    “…This study suggests that chest CT scans should be more broadly adopted along with nucleic acid testing in the initial assessment of suspected COVID-19 cases, especially for patients with nonspecific symptoms.…”
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    Diagnostic Accuracy of Chest Computed Tomography Scans for Suspected Patients With COVID-19: Receiver Operating Characteristic Curve Analysis
  5. 5585
    “…Till August 17, 2020, COVID-19 has caused 21.59 million confirmed cases in more than 227 countries and territories, and 26 naval ships. Chest CT is an effective way to detect COVID-19. …”
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    A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis
  6. 5586
    “…The timely diagnosis of infected patients is a critical step to limit the spread of the COVID-19 epidemic. The chest radiography imaging has shown to be an effective screening technique in diagnosing the COVID-19 epidemic. …”
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    COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images
  7. 5587
    “…METHODS: Hence a novel CNN model called CoroDet for automatic detection of COVID-19 by using raw chest X-ray and CT scan images have been proposed in this study. …”
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    CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images
  8. 5588
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    The optimal diagnostic strategies for patient with coronary artery diseases and stable chest pain syndrome: a cost-effectiveness analysis
  9. 5589
    “…Patients with evidence of pneumonia on chest CT scans were also classified as COVID-19 pneumonia positive outcomes. …”
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    Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study
  10. 5590
    “…BACKGROUND: The large volume and suboptimal image quality of portable chest X-rays (CXRs) as a result of the COVID-19 pandemic could post significant challenges for radiologists and frontline physicians. …”
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    Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection
  11. 5591
    “…Radiological findings are standardized with bilateral diffuse pulmonary infiltrates present on chest imaging. This study investigated whether chest imaging is relevant in diagnosing ARDS in polytrauma patients. …”
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    Is chest imaging relevant in diagnosing acute respiratory distress syndrome in polytrauma patients? A population-based cohort study
  12. 5592
    “…Purpose: To evaluate diagnostic accuracy of conventional radiography (CXR) and machine learning enhanced CXR (mlCXR) for the detection and quantification of disease-extent in COVID-19 patients compared to chest-CT. Methods: Real-time polymerase chain reaction (rt-PCR)-confirmed COVID-19-patients undergoing CXR from March to April 2020 together with COVID-19 negative patients as control group were retrospectively included. …”
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    Accuracy of Conventional and Machine Learning Enhanced Chest Radiography for the Assessment of COVID-19 Pneumonia: Intra-Individual Comparison with CT
  13. 5593
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    Why an Algorithmic “Rule-Out MI” Order Set Is Necessary But Not Sufficient Care for Chest Pain in the Emergency Department Setting
  14. 5594
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    Optimization of Patient Management During the COVID-19 Pandemic: Chest CT Scan and PCR as Gatekeepers of the Radiation Therapy Workflow
  15. 5595
    por Hafez, Mona A. F.
    Publicado 2020
    “…This study involved 200 patients with pathologically confirmed COVID-19 infection; non-contrast CT chest was performed for all cases; in addition, CT findings and severity score (CT-SS) were then assessed using descriptive analysis, and the correlation between the CT findings and disease severity was assessed. …”
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    The mean severity score and its correlation with common computed tomography chest manifestations in Egyptian patients with COVID-2019 pneumonia
  16. 5596
    “…Noninvasive ventilation (NIV) is beneficial in acute respiratory failure (ARF) caused by chest trauma; however, NIV-related complications affect the efficacy. …”
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    Noninvasive ventilation with a helmet in patients with acute respiratory failure caused by chest trauma: a randomized controlled trial
  17. 5597
    “…One or more preoperative chest X-ray(s) were indicated in more than 20% of the interventions in which another chest X-ray had already been performed in the previous 3 months. …”
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    Estimation of the Overuse of Preoperative Chest X-rays According to “Choosing Wisely”, “No Hacer”, and “Essencial” Initiatives: Are They Equally Applicable and Comparable?
  18. 5598
    “…We aimed to assess the extent of COVID-19 pulmonary abnormalities on chest x-ray (CXR) using a semiquantitative severity score, correlating it with clinical data and testing its interobserver agreement. …”
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    Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study
  19. 5599
    “…Purpose: This work aims to develop a computer-aided diagnosis (CAD) to quantify the extent of pulmonary involvement (PI) in COVID-19 as well as the radiological patterns referred to as lung opacities in chest computer tomography (CT). Methods: One hundred thirty subjects with COVID-19 pneumonia who underwent chest CT at hospital admission were retrospectively studied (141 sets of CT scan images). …”
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    COVID-19 Chest Computed Tomography to Stratify Severity and Disease Extension by Artificial Neural Network Computer-Aided Diagnosis
  20. 5600
    “…This case series examines the spectrum of imaging findings at chest radiography, US, CT, and MRI in 35 children admitted to a tertiary pediatric hospital in April and May 2020 with a post–coronavirus disease 2019 inflammatory condition known as multisystem inflammatory syndrome in children. …”
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    Spectrum of Imaging Findings at Chest Radiography, US, CT, and MRI in Multisystem Inflammatory Syndrome in Children Associated with COVID-19
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