胸部CT特征及其在新型冠状病毒肺炎中的作用。
Chest CT features and their role in COVID-19.
作者信息
Li Meng
机构信息
Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Department of Radiology, Mount Sinai Health System, New York, NY 10029, USA.
出版信息
Radiol Infect Dis. 2020 Jun;7(2):51-54. doi: 10.1016/j.jrid.2020.04.001. Epub 2020 Apr 16.
Abstract
Since December 2019, the novel coronavirus disease (COVID-19) has spread rapidly throughout China. This article reviews the chest CT features of COVID-19 and analyzes the role of chest CT in this health emergency.
摘要
自2019年12月以来，新型冠状病毒肺炎（COVID-19）在中国迅速传播。本文回顾了COVID-19的胸部CT特征，并分析了胸部CT在这一突发公共卫生事件中的作用。
相似文献
1
Chest CT features and their role in COVID-19.胸部CT特征及其在新型冠状病毒肺炎中的作用。
Radiol Infect Dis. 2020 Jun;7(2):51-54. doi: 10.1016/j.jrid.2020.04.001. Epub 2020 Apr 16.
2
Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2.新型冠状病毒 2019 年 SARS-CoV-2 患者的影像学和临床特征。
Eur J Nucl Med Mol Imaging. 2020 May;47(5):1275-1280. doi: 10.1007/s00259-020-04735-9. Epub 2020 Feb 28.
3
Correlation between Chest Computed Tomography and Lung Ultrasonography in Patients with Coronavirus Disease 2019 (COVID-19).新型冠状病毒肺炎（COVID-19）患者的胸部计算机断层扫描与肺部超声的相关性。
Ultrasound Med Biol. 2020 Nov;46(11):2918-2926. doi: 10.1016/j.ultrasmedbio.2020.07.003. Epub 2020 Jul 13.
4
Contribution of CT Features in the Diagnosis of COVID-19.CT 特征在 COVID-19 诊断中的作用。
Can Respir J. 2020 Nov 12;2020:1237418. doi: 10.1155/2020/1237418. eCollection 2020.
5
Chest CT in the Emergency Department for Diagnosis of COVID-19 Pneumonia: Dutch Experience.急诊科胸部 CT 诊断 COVID-19 肺炎：荷兰经验。
Radiology. 2021 Feb;298(2):E98-E106. doi: 10.1148/radiol.2020203465. Epub 2020 Nov 17.
6
Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study.新型冠状病毒肺炎的胸部 CT 表现与临床特征的关系：一项多中心研究。
AJR Am J Roentgenol. 2020 May;214(5):1072-1077. doi: 10.2214/AJR.20.22976. Epub 2020 Mar 3.
7
Chest CT imaging characteristics of COVID-19 pneumonia in preschool children: a retrospective study.儿童 COVID-19 肺炎的胸部 CT 影像学特征：一项回顾性研究。
BMC Pediatr. 2020 May 18;20(1):227. doi: 10.1186/s12887-020-02140-7.
8
First CT characteristic appearance of patients with coronavirus disease 2019.2019冠状病毒病患者的首次CT特征表现。
Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2020 Mar 28;45(3):262-268. doi: 10.11817/j.issn.1672-7347.2020.200136.
9
Thoracic computerised tomography scans in one hundred eighteen orthopaedic patients during the COVID-19 pandemic: identification of chest lesions; added values; help in managing patients; burden on the computerised tomography scan department.COVID-19 大流行期间 118 例骨科患者的胸部计算机断层扫描：胸部病变的检出；附加价值；帮助管理患者；对计算机断层扫描部门的负担。
Int Orthop. 2020 Aug;44(8):1571-1580. doi: 10.1007/s00264-020-04651-5. Epub 2020 Jun 7.
10
Clinical Features and Chest CT Manifestations of Coronavirus Disease 2019 (COVID-19) in a Single-Center Study in Shanghai, China.中国上海单中心研究的 2019 年冠状病毒病（COVID-19）的临床特征和胸部 CT 表现。
AJR Am J Roentgenol. 2020 Jul;215(1):121-126. doi: 10.2214/AJR.20.22959. Epub 2020 Mar 14.
引用本文的文献
1
Lung Disease Detection Using U-Net Feature Extractor Cascaded by Graph Convolutional Network.使用由图卷积网络级联的U-Net特征提取器进行肺病检测。
Diagnostics (Basel). 2024 Jun 20;14(12):1313. doi: 10.3390/diagnostics14121313.
2
A Meta-analysis of the Severity of Acute Pancreatitis (AP) in COVID-19 Infection.新型冠状病毒肺炎（COVID-19）感染中急性胰腺炎（AP）严重程度的荟萃分析。
Cureus. 2023 May 9;15(5):e38764. doi: 10.7759/cureus.38764. eCollection 2023 May.
3
A Review of Crucial Radiological Investigations in the Management of COVID-19 Cases.新型冠状病毒肺炎病例管理中的关键影像学检查综述
Cureus. 2023 Mar 28;15(3):e36825. doi: 10.7759/cureus.36825. eCollection 2023 Mar.
4
Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2.病毒发病率增长曲线的聚类分析与预测：在严重急性呼吸综合征冠状病毒2（SARS-CoV-2）中的应用
Expert Syst Appl. 2023 Sep 1;225:120103. doi: 10.1016/j.eswa.2023.120103. Epub 2023 Apr 17.
5
A Precise Method to Detect Post-COVID-19 Pulmonary Fibrosis Through Extreme Gradient Boosting.一种通过极端梯度提升检测新冠后肺纤维化的精确方法。
SN Comput Sci. 2023;4(1):89. doi: 10.1007/s42979-022-01526-x. Epub 2022 Dec 13.
6
COVID-19 diagnostics: Molecular biology to nanomaterials.COVID-19 诊断学：从分子生物学到纳米材料。
Clin Chim Acta. 2023 Jan 1;538:139-156. doi: 10.1016/j.cca.2022.11.017. Epub 2022 Nov 18.
7
Automated deep learning-based segmentation of COVID-19 lesions from chest computed tomography images.基于深度学习的胸部计算机断层扫描图像中新冠病毒肺炎病变的自动分割
Pol J Radiol. 2022 Aug 26;87:e478-e486. doi: 10.5114/pjr.2022.119027. eCollection 2022.
8
Automatic segmentation of COVID-19 from computed tomography images using modified U-Net model-based majority voting approach.使用基于改进U-Net模型的多数投票方法从计算机断层扫描图像中自动分割新型冠状病毒肺炎（COVID-19）。
Neural Comput Appl. 2022;34(24):21927-21938. doi: 10.1007/s00521-022-07653-z. Epub 2022 Aug 6.
9
A modified DeepLabV3+ based semantic segmentation of chest computed tomography images for COVID-19 lung infections.一种基于改进的深度卷积神经网络（DeepLabV3+）的胸部计算机断层扫描图像语义分割方法用于新冠病毒肺炎肺部感染研究
Int J Imaging Syst Technol. 2022 Sep;32(5):1481-1495. doi: 10.1002/ima.22772. Epub 2022 Jun 11.
10
Chest computed tomography findings in more than 4,000 non-hospitalized suspected COVID-19 patients.4000多名非住院疑似新冠肺炎患者的胸部计算机断层扫描结果
Caspian J Intern Med. 2022;13(Suppl 3):187-192. doi: 10.22088/cjim.13.0.187.
本文引用的文献
1
CT imaging of coronavirus disease 2019 (COVID-19): from the qualitative to quantitative.2019冠状病毒病（COVID-19）的CT成像：从定性到定量
Ann Transl Med. 2020 Mar;8(5):256. doi: 10.21037/atm.2020.02.91.
2
Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT.放射科医生在胸部 CT 鉴别 COVID-19 与非 COVID-19 病毒性肺炎中的表现。
Radiology. 2020 Aug;296(2):E46-E54. doi: 10.1148/radiol.2020200823. Epub 2020 Mar 10.
3
Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study.新型冠状病毒肺炎的胸部 CT 表现与临床特征的关系：一项多中心研究。
AJR Am J Roentgenol. 2020 May;214(5):1072-1077. doi: 10.2214/AJR.20.22976. Epub 2020 Mar 3.
4
The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia.与严重和危重新冠肺炎相关的临床和胸部 CT 特征。
Invest Radiol. 2020 Jun;55(6):327-331. doi: 10.1097/RLI.0000000000000672.
5
Pulmonary Pathology of Early-Phase 2019 Novel Coronavirus (COVID-19) Pneumonia in Two Patients With Lung Cancer.两例肺癌患者 2019 年新型冠状病毒（COVID-19）肺炎早期阶段的肺部病理学表现。
J Thorac Oncol. 2020 May;15(5):700-704. doi: 10.1016/j.jtho.2020.02.010. Epub 2020 Feb 28.
6
Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2.新型冠状病毒 2019 年 SARS-CoV-2 患者的影像学和临床特征。
Eur J Nucl Med Mol Imaging. 2020 May;47(5):1275-1280. doi: 10.1007/s00259-020-04735-9. Epub 2020 Feb 28.
7
Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study.中国武汉 81 例新冠肺炎患者的放射学特征：一项描述性研究。
Lancet Infect Dis. 2020 Apr;20(4):425-434. doi: 10.1016/S1473-3099(20)30086-4. Epub 2020 Feb 24.
8
Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.中国 2019 年冠状病毒病（COVID-19）的胸部 CT 与 RT-PCR 检测的相关性：1014 例报告。
Radiology. 2020 Aug;296(2):E32-E40. doi: 10.1148/radiol.2020200642. Epub 2020 Feb 26.
9
2019 Novel Coronavirus (COVID-19) Pneumonia: Serial Computed Tomography Findings.2019 新型冠状病毒（COVID-19）肺炎：连续计算机断层扫描结果。
Korean J Radiol. 2020 Apr;21(4):501-504. doi: 10.3348/kjr.2020.0112. Epub 2020 Feb 26.
10
Chest Radiographic and CT Findings of the 2019 Novel Coronavirus Disease (COVID-19): Analysis of Nine Patients Treated in Korea.韩国 9 例新型冠状病毒病（COVID-19）患者的胸部 X 线和 CT 表现分析
Korean J Radiol. 2020 Apr;21(4):494-500. doi: 10.3348/kjr.2020.0132. Epub 2019 Feb 26.
Zotero 插件