Cargando…

Chest Radiographic and CT Findings of the 2019 Novel Coronavirus Disease (COVID-19): Analysis of Nine Patients Treated in Korea

OBJECTIVE: This study presents a preliminary report on the chest radiographic and computed tomography (CT) findings of the 2019 novel coronavirus disease (COVID-19) pneumonia in Korea. MATERIALS AND METHODS: As part of a multi-institutional collaboration coordinated by the Korean Society of Thoracic...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yoon, Soon Ho, Lee, Kyung Hee, Kim, Jin Yong, Lee, Young Kyung, Ko, Hongseok, Kim, Ki Hwan, Park, Chang Min, Kim, Yun-Hyeon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Korean Society of Radiology 2020
Materias:	Thoracic Imaging
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082662/ https://www.ncbi.nlm.nih.gov/pubmed/32100485 http://dx.doi.org/10.3348/kjr.2020.0132

Ejemplares similares

Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation
por: Choi, Hyewon, et al.
Publicado: (2020)

Chest CT Features of Cystic Fibrosis in Korea: Comparison with Non-Cystic Fibrosis Diseases
por: Yang, So Yeon, et al.
Publicado: (2017)

Erratum: Extension of Coronavirus Disease 2019 (COVID-19) on Chest CT and Implications for Chest Radiograph Interpretation
por: Choi, Hyewon, et al.
Publicado: (2020)

Multidetector CT Findings and Differential Diagnoses of Malignant Pleural Mesothelioma and Metastatic Pleural Diseases in Korea
por: Kim, Yoon Kyung, et al.
Publicado: (2016)

Characteristics of COVID-19 Patients Who Progress to Pneumonia on Follow-Up Chest Radiograph: 236 Patients from a Single Isolated Cohort in Daegu, South Korea
por: Jung, Ha Kyung, et al.
Publicado: (2020)

Deep Learning-Based Algorithm for the Detection and Characterization of MRI Safety of Cardiac Implantable Electronic Devices on Chest Radiographs
por: Kim, Ue-Hwan, et al.
Publicado: (2021)

Interpretation of Digital Chest Radiographs: Comparison of Light Emitting Diode versus Cold Cathode Fluorescent Lamp Backlit Monitors
por: Lim, Hyun-ju, et al.
Publicado: (2013)

Association between Initial Chest CT or Clinical Features and Clinical Course in Patients with Coronavirus Disease 2019 Pneumonia
por: Liu, Zhe, et al.
Publicado: (2020)

Prognostic Implication of Volumetric Quantitative CT Analysis in Patients with COVID-19: A Multicenter Study in Daegu, Korea
por: Park, Byunggeon, et al.
Publicado: (2020)

Radiologic Diagnosis of Asbestosis in Korea
por: Cha, Yoon Ki, et al.
Publicado: (2016)

Effect of Hybrid Kernel and Iterative Reconstruction on Objective and Subjective Analysis of Lung Nodule Calcification in Low-Dose Chest CT
por: Hong, Seul Gi, et al.
Publicado: (2018)

Implementation of a Deep Learning-Based Computer-Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19
por: Hwang, Eui Jin, et al.
Publicado: (2020)

Diameter of the Solid Component in Subsolid Nodules on Low-Dose Unenhanced Chest Computed Tomography: Measurement Accuracy for the Prediction of Invasive Component in Lung Adenocarcinoma
por: Ahn, Hyungwoo, et al.
Publicado: (2018)

CT Characteristics of Pleural Plaques Related to Occupational or Environmental Asbestos Exposure from South Korean Asbestos Mines
por: Kim, Yookyung, et al.
Publicado: (2015)

Missed Lung Cancers on Chest Radiograph: An Illustrative Review of Common Blind Spots on Chest Radiograph with Emphasis on Various Radiologic Presentations of Lung Cancers
Publicado: (2020)

Nodule Classification on Low-Dose Unenhanced CT and Standard-Dose Enhanced CT: Inter-Protocol Agreement and Analysis of Interchangeability
por: Lee, Kyung Hee, et al.
Publicado: (2018)

Bone Suppression on Chest Radiographs for Pulmonary Nodule Detection: Comparison between a Generative Adversarial Network and Dual-Energy Subtraction
por: Bae, Kyungsoo, et al.
Publicado: (2022)

Conventional Versus Artificial Intelligence-Assisted Interpretation of Chest Radiographs in Patients With Acute Respiratory Symptoms in Emergency Department: A Pragmatic Randomized Clinical Trial
por: Hwang, Eui Jin, et al.
Publicado: (2023)

Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort
por: Yoo, Hyunsuk, et al.
Publicado: (2022)

Chest CT Findings of COVID-19 Patients with Mild Clinical Symptoms at a Single Hospital in Korea
Publicado: (2021)

Automated Lung Segmentation on Chest Computed Tomography Images with Extensive Lung Parenchymal Abnormalities Using a Deep Neural Network
por: Yoo, Seung-Jin, et al.
Publicado: (2021)

Validation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise
por: Kim, Joo Hee, et al.
Publicado: (2021)

Usefulness of CT-Guided Percutaneous Transthoracic Needle Lung Biopsies in Patients with Suspected Pulmonary Infection
por: Kim, Junghoon, et al.
Publicado: (2020)

Chest Radiographs and CT Findings during Healthcare Workers' Tuberculosis Screening Using Interferon-Gamma Release Assay: Retrospective Observational Study
Publicado: (2021)

Follow-up chest radiographic findings in patients with MERS-CoV after recovery
por: Das, Karuna M, et al.
Publicado: (2017)

Association of Chest CT-Based Quantitative Measures of Muscle and Fat with Post-Lung Transplant Survival and Morbidity: A Single Institutional Retrospective Cohort Study in Korean Population
por: Cho, Young Hoon, et al.
Publicado: (2019)

Accuracy of Model-Based Iterative Reconstruction for CT Volumetry of Part-Solid Nodules and Solid Nodules in Comparison with Filtered Back Projection and Hybrid Iterative Reconstruction at Various Dose Settings: An Anthropomorphic Chest Phantom Study
por: Kim, Seung Kwan, et al.
Publicado: (2019)

Quantitative Vertebral Bone Density Seen on Chest CT in Chronic Obstructive Pulmonary Disease Patients: Association with Mortality in the Korean Obstructive Lung Disease Cohort
por: Hwang, Hye Jeon, et al.
Publicado: (2020)

2019 Novel Coronavirus (COVID-19) Pneumonia with Hemoptysis as the Initial Symptom: CT and Clinical Features
por: Shi, Fengxia, et al.
Publicado: (2020)

Quantitative Image Quality and Histogram-Based Evaluations of an Iterative Reconstruction Algorithm at Low-to-Ultralow Radiation Dose Levels: A Phantom Study in Chest CT
por: Lee, Ki Baek, et al.
Publicado: (2018)

Diagnosis of Scoliosis Using Chest Radiographs with a Semi-Supervised Generative Adversarial Network
Publicado: (2022)

Publication timeline of chest imaging reporting in children with coronavirus disease 2019 (COVID-19): a systematic review spanning 2020
por: Ramirez-Suarez, Karen I., et al.
Publicado: (2022)

Usefulness of Mobile Computed Tomography in Patients with Coronavirus Disease 2019 Pneumonia: A Case Series
por: Rho, Ji Young, et al.
Publicado: (2020)

Content-Based Image Retrieval of Chest CT with Convolutional Neural Network for Diffuse Interstitial Lung Disease: Performance Assessment in Three Major Idiopathic Interstitial Pneumonias
por: Hwang, Hye Jeon, et al.
Publicado: (2021)

Pulmonary Mucinous Cystadenocarcinoma: Report a Case and Review of CT Findings
por: Choi, Youn Ah, et al.
Publicado: (2013)

Small Solitary Ground-Glass Nodule on CT as an Initial Manifestation of Coronavirus Disease 2019 (COVID-19) Pneumonia
por: Xia, Tianyi, et al.
Publicado: (2020)

CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network
por: Lee, Sang Min, et al.
Publicado: (2019)

Effects of Implementing Artificial Intelligence-Based Computer-Aided Detection for Chest Radiographs in Daily Practice on the Rate of Referral to Chest Computed Tomography in Pulmonology Outpatient Clinic
por: Hong, Wonju, et al.
Publicado: (2023)

Pulmonary Artery Intimal Sarcoma versus Pulmonary Artery Thromboembolism: CT and Clinical Findings
por: Kim, Cherry, et al.
Publicado: (2018)

Analysis of Complications of Percutaneous Transthoracic Needle Biopsy Using CT-Guidance Modalities In a Multicenter Cohort of 10568 Biopsies
por: Yoon, Soon Ho, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_pe0v80altlhm3jg7glq6eq6kgv