Radiological Society of North America Expert Consensus Document on Reporting Chest CT Findings Related to COVID-19: Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA [0.03%]
新冠肺炎疫情期间放射科报告胸部CT检查结果的北美放射学会专家共识声明：学会联合署名包括胸 radiol 社区、美国放射学院和北美放射学会
Scott Simpson,Fernando U Kay,Suhny Abbara et al.
Scott Simpson et al.
Routine screening CT for the identification of coronavirus disease 19 (COVID-19) pneumonia is currently not recommended by most radiology societies. However, the number of CT examinations performed in persons under investigation for COVID-1...
Radiology Preparedness in the Ongoing Battle against COVID-19: Experiences from Large to Small Public Hospitals in Singapore [0.03%]
新加坡大型到小型公立医院在抗击COVID-19战争中的放射学准备经验
Bien Peng Tan,Kheng Choon Lim,Yong Geng Goh et al.
Bien Peng Tan et al.
The coronavirus disease 2019 (COVID-19) pandemic presents an unprecedented challenge to the health care systems of the world. In Singapore, early experiences of the radiology community on managing this pandemic was shaped by lessons learned...
CT Features and Short-term Prognosis of COVID-19 Pneumonia: A Single-Center Study from Kashan, Iran [0.03%]
COVID-19肺炎的CT表现及其短期预后——来自伊朗卡尚单中心研究
Seyed Mohammad Hossein Tabatabaei,Hamidreza Talari,Fahimeh Moghaddas et al.
Seyed Mohammad Hossein Tabatabaei et al.
Purpose: To assess whether certain CT chest features of patients with confirmed coronavirus disease 2019 (COVID-19) may have short-term prognostic value. ...
Thin-Section Chest CT Imaging of COVID-19 Pneumonia: A Comparison Between Patients with Mild and Severe Disease [0.03%]
CT评估轻症与重症新冠肺炎患者的胸部改变
Minhua Yu,Dan Xu,Lan Lan et al.
Minhua Yu et al.
Purpose: To compare radiologic characteristics of coronavirus disease 2019 (COVID-19) pneumonia at thin-section CT on admission between patients with mild and severe disease. ...
Differences in Clinical and Imaging Presentation of Pediatric Patients with COVID-19 in Comparison with Adults [0.03%]
与成人相比新型冠状病毒肺炎在儿科患者的临床和影像学表现差异分析
Amei Chen,Jun-Xiang Huang,Yuting Liao et al.
Amei Chen et al.
Purpose: To characterize and compare the initial clinical and imaging features of coronavirus disease 2019 (COVID-19) in pediatric and adult patients undergoing chest CT. ...
Chest CT Findings in Cases from the Cruise Ship Diamond Princess with Coronavirus Disease (COVID-19) [0.03%]
钻石公主号邮轮新型冠状病毒肺炎(COVID-19)病例的胸部CT表现
Shohei Inui,Akira Fujikawa,Motoyuki Jitsu et al.
Shohei Inui et al.
Purpose: To evaluate the chest CT findings in an environmentally homogeneous cohort from the cruise ship Diamond Princess with coronavirus disease 2019 (COVID-19). ...
Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation [0.03%]
新型冠状病毒肺炎胸部CT表现的扩展及对胸部X线摄影影像判断的影响
Hyewon Choi,Xiaolong Qi,Soon Ho Yoon et al.
Hyewon Choi et al.
Purpose: To study the extent of pulmonary involvement in coronavirus 19 (COVID-19) with quantitative CT and to assess the impact of disease burden on opacity visibility on chest radiographs. ...
Coronavirus Disease 2019: Initial Detection on Chest CT in a Retrospective Multicenter Study of 103 Chinese Patients [0.03%]
胸部CT在新型冠状病毒肺炎(COVID-19)感染早期的诊断价值：一项基于103例患者的多中心回顾性研究
Zeying Wen,Yonge Chi,Liang Zhang et al.
Zeying Wen et al.
Purpose: To evaluate the performance of chest CT regarding the initial presentation of patients suspected of having coronavirus disease 2019 (COVID-19). M...
Longitudinal Assessment of COVID-19 Using a Deep Learning-based Quantitative CT Pipeline: Illustration of Two Cases [0.03%]
基于深度学习的定量CT在新型冠状病毒肺炎中的纵向评价：2例分析
Yukun Cao,Zhanwei Xu,Jianjiang Feng et al.
Yukun Cao et al.
Serial Quantitative Chest CT Assessment of COVID-19: A Deep Learning Approach [0.03%]
用于评估COVID-19的胸部CT影像的深度学习方法研究
Lu Huang,Rui Han,Tao Ai et al.
Lu Huang et al.
Purpose: To quantitatively evaluate lung burden changes in patients with coronavirus disease 2019 (COVID-19) by using serial CT scan by an automated deep learning method. ...