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RSNA Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19: Interobserver Agreement Between Chest Radiologists

机译：关于报告与Covid-19相关的胸部CT结果的RSNA专家共识声明：胸部放射科学家之间的Interobserver协议

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Danielle Byrne; Siobhan B. O’ Neill; Nestor L. Müller; C. Isabela Silva Müller; John P. Walsh; Sabeena Jalal; William Parker; Ana-Maria Bilawich; Savvas Nicolaou;
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1. Radiological Society of North America Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA - Secondary Publication [J] . Journal of thoracic imaging . 2020,第4期

机译：北美的放射学会专家共识声明关于报告与Covid-19相关的胸部CT结果。由胸部放射学会，美国放射学院和RSNA - 二级出版物认可
2. Agreement between expert thoracic radiologists and the chest radiograph reports provided by consultant radiologists and reporting radiographers in clinical practice: Review of a single clinical site [J] . N. Woznitza, K. Piper, S. Burke, Radiography . 2018,第3期

机译：专家胸部放射科学家和顾问放射科学家提供的胸部射线照相报告的协议和临床实践中的报告射线照相者：审查单一临床部位
3. ACCF/AHA 2007 clinical expert consensus document on coronary artery calcium scoring by computed tomography in global cardiovascular risk assessment and in evaluation of patients with chest pain: a report of the American College of Cardiology Foundation Clinical Expert Consensus Task Force (ACCF/AHA Writing Committee to Update the 2000 Expert Consensus Document on Electron Beam Computed Tomography). Developed in Collaboration With the Society of Atherosclerosis Imaging and Prevention and the Society of Cardiovascular Computed Tomography [J] . Greenland P, Bonow RO, Brundage BH, Circulation: An Official Journal of the American Heart Association . 2007,第3期

机译：ACCF / AHA 2007年临床专家共识文件，关于通过计算机断层扫描在全球心血管风险评估和胸痛患者评估中对冠状动脉钙进行评分：美国心脏病学会基金会临床专家共识工作组（ACCF / AHA撰写委员会的报告）更新有关电子束CT的2000年专家共识文件）。与动脉粥样硬化影像学和预防学会以及心血管计算机断层摄影学会合作开发
4. Evolution of Chest Radiograph Radiomics and Association with Respiratory and Inflammatory Parameters in COVID-19 Patients Undergoing Prone Ventilation - Preliminary Findings [C] . Connor Cowan, Joseph Bae, Gagandeep Singh, Conference on Medical Imaging: Computer-Aided Diagnosis . 2021

机译：Covid-19患者中易受通风的Covid-19患者呼吸射线辐射瘤和呼吸和炎症参数的演变 - 初步发现
5. Artificial Intelligence to Accelerate Covid-19 Identification from Chest X-Rays [D] . Adila, Dyah. 2021

机译：从胸部X射线加速Covid-19识别的人工智能
6. Diagnostic Accuracy of North America Expert Consensus Statement onReporting CT Findings in Patients with Suspected COVID-19 Infection: An ItalianSingle Center Experience [O] . Federica Ciccarese, Francesca Coppola, Daniele Spinelli, -1

机译：北美专家共识陈述的诊断准确性涉及疑似Covid-19感染患者的CT发现：意大利人单一中心经验
7. Radiological Society of North America (RSNA) Expert Consensus Statement Related to Chest CT Findings in COVID-19 Versus CO-RADS: Comparison of Reporting System Performance Among Chest Radiologists and End-User Preference [O] . Siobhan B. O’ Neill, Danielle Byrne, Nestor L. Müller, 2020

机译：北美的放射学会（RSNA）专家共识陈述与Covid-19与Co-RAD的CT结果相关：胸部放射科学家和最终用户偏好的报告系统性能的比较

RSNA Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19: Interobserver Agreement Between Chest Radiologists

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