About: Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management

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scientific article published on 04 March 2020

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) artículu científicu espublizáu en marzu de 2020 (ast) im März 2020 veröffentlichter wissenschaftlicher Artikel (de) scientific article published on 04 March 2020 (en) наукова стаття, опублікована 4 березня 2020 (uk)
publication date	wds:Q90031754-4D0A837E-91FB-4731-9AFE-325D6211EEAB
publication date	2020-03-04 00:00:00Z (xsd:dateTime)
author name string	wds:Q90031754-6546EA22-2271-4D8A-AE23-99523C20683F wds:Q90031754-DB08E29D-30AB-484C-8A63-83E81C5BCF3A
author name string	Yan Li Liming Xia
rdfs:label	Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management (en) Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management (nl)
skos:prefLabel	Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management (en) Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management (nl)
name	Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management (en) Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management (nl)
title	wds:Q90031754-1B4629CB-23CD-4A64-81CF-4F7D7AA502A5
title	Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management (en)
page(s)	wds:Q90031754-F0AD5D16-C54D-481B-9D06-428CE485748B
page(s)	1-7
instance of	wds:Q90031754-C6B01350-28B0-49DB-835D-CF74A749EF6F
instance of	scholarly article
main subject	wds:Q90031754-3507FCEF-F630-41BA-821E-442815523862 wds:Q90031754-59ADEACC-E596-41B9-A887-58D78A7B6CD2 wds:Q90031754-871A980A-AEF1-483A-93F6-D94C61662188 wds:Q90031754-FFD25CA7-A6D2-4A93-9626-CB9C3291E05D
main subject	SARS-CoV-2 Coronaviridae COVID-19 mortality chest CT
PubMed ID	wds:Q90031754-B44DF8B8-083E-47A4-BA20-1159BDBC7E64
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/32130038
PubMed ID	32130038
published in	wds:Q90031754-4D9AFBB6-794A-47D3-8D52-B8BA4CEA18AD
published in	American Journal of Roentgenology
DOI	wds:Q90031754-FC98D0AE-CAED-41CC-8DC2-CDA3D360AA25
DOI	http://dx.doi.org/10.2214/AJR.20.22954
DOI	10.2214/AJR.20.22954
Semantic Scholar corpus ID	wds:Q90031754-53B514CE-3096-45EB-BA94-3CAA5241CF8E
Semantic Scholar corpus ID	212416282
Dimensions Publication ID	wds:Q90031754-FC2CF23E-96BB-4AA7-BFD3-F77A84D7B7B2
Dimensions Publication ID	1125411163
COVIDWHO ID	wds:Q90031754-0E31E7F0-B58B-4B87-9801-D54DFB93351D
COVIDWHO ID	covidwho-4517
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q90031754
is cites work of	Recommendations for Metabolic and Bariatric Surgery During the COVID-19 Pandemic from IFSO Incidental CT Findings Suspicious for Covid-19 Associated Pneumonia on Nuclear Medicine Exams: Recognition and Management Plan [Recommendations of the Urolithiasis Committee of the French Urology Association for the management and the treatment of the stone formers patients during the COVID-19 pandemic crisis] COVID-19 pneumonia manifestations at the admission on chest ultrasound, radiographs, and CT: single-center study and comprehensive radiologic literature review ISUOG Interim Guidance on 2019 novel coronavirus infection during pregnancy and puerperium: information for healthcare professionals Novel coronavirus (COVID-19) infection: What a doctor on the frontline needs to know Computed Tomography (CT) Imaging Features of Patients with COVID-19: Systematic Review and Meta-Analysis Chest physiotherapy: an important adjuvant in critically ill mechanically ventilated patients with COVID-19 Chest CT imaging characteristics of COVID-19 pneumonia in preschool children: a retrospective study The epidemiological and clinical features of COVID-19 and lessons from this global infectious public health event Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets A systematic review of chest imaging findings in COVID-19 Identification of the RNase-binding site of SARS-CoV-2 RNA for anchor primer-PCR detection of viral loading in 306 COVID-19 patients COVID-19 outbreak in Italy: experimental chest X-ray scoring system for quantifying and monitoring disease progression COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images Chest computed tomography images of early coronavirus disease (COVID-19) Diagnostics for SARS-CoV-2 detection: A comprehensive review of the FDA-EUA COVID-19 testing landscape CT in coronavirus disease 2019 (COVID-19): a systematic review of chest CT findings in 4410 adult patients Frequently asked questions regarding SARS-CoV-2 in cancer patients-recommendations for clinicians caring for patients with malignant diseases Chest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer center Comparative study of lung ultrasound and chest computed tomography scan in the assessment of severity of confirmed COVID-19 pneumonia Chest CT Findings of Early and Progressive Phase COVID-19 Infection from a US Patient Salivary gland disease in the era of COVID-19 pandemic Clinical, laboratory and radiological characteristics and outcomes of novel coronavirus (SARS-CoV-2) infection in humans: A systematic review and series of meta-analyses [Acute Neurointerventions, Covid-19 and Chest-CT: SOP and Literature Review] Invasive pulmonary aspergillosis complicating COVID-19 in the ICU - A case report [Lung ultrasound in patients with SARS-CoV-2 infection] Management of the difficult airway in the COVID-19 pandemic: Illustrative complex head and neck cancer scenario [COVID-19 pneumonia] Emergency Response Measures for Anesthesia Nursing During the COVID-19 Pandemic: West China Hospital Experiences Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology Chest CT Computerized Aided Quantification of PNEUMONIA Lesions in COVID-19 Infection: A Comparison among Three Commercial Software An Analysis of High-Resolution Computed Tomography Chest Manifestations of COVID-19 Patients in Pakistan Two immunocompromised patients with diffuse alveolar hemorrhage as a complication of severe COVID-19 Diagnostic methods and potential portable biosensors for coronavirus disease 2019 Diagnostic performance between CT and initial real-time RT-PCR for clinically suspected 2019 coronavirus disease (COVID-19) patients outside Wuhan, China Incidence of Stress Cardiomyopathy During the Coronavirus Disease 2019 Pandemic Manejo de pacientes de Ortopedia y Traumatología en el contexto de la contingencia por covid-19: revisión de conceptos actuales Role of computed tomography in COVID-19 The Role of Transthoracic Ultrasound in the novel Coronavirus Disease (COVID-19): A Reappraisal. Information and Disinformation: Is There Still Place for a Scientific Debate? Lung Ultrasound Findings Are Associated with Mortality and Need for Intensive Care Admission in COVID-19 Patients Evaluated in the Emergency Department Chest Imaging in Patients Hospitalized With COVID-19 Infection - A Case Series High-resolution CT features of the COVID-19 infection in Nanchong City: Initial and follow-up changes among different clinical types Management of patients with suspected or confirmed COVID-19, in the radiology department Coronavirus disease (COVID-19): observations and lessons from primary medical care at a German community hospital CT changes of severe coronavirus disease 2019 based on prognosis Novel Coronavirus Infection in Orthopedic Patients ; Report of Seven Cases Characteristics of the Coronavirus Disease 2019 and related Therapeutic Options Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): a review Commentary: The double responsibility of the thoracic surgeon at the time of the pandemic: A perspective from the North of Italy Perioperative COVID-19 testing of orthopedic patients: Current evidence Clinical and imaging features of COVID-19 Comparative Analysis of COVID-19 X-ray Images Classification Using Convolutional Neural Network, Transfer Learning, and Machine Learning Classifiers Using Deep Features

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