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本文引用的文献

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Computed Tomographic Imaging of 3 Patients With Coronavirus Disease 2019 Pneumonia With Negative Virus Real-time Reverse-Transcription Polymerase Chain Reaction Test.3 例新型冠状病毒病肺炎患者的计算机断层扫描成像,实时逆转录聚合酶链反应检测病毒阴性。
Clin Infect Dis. 2020 Jul 28;71(15):850-852. doi: 10.1093/cid/ciaa207.
2
Single-cell RNA-seq data analysis on the receptor ACE2 expression reveals the potential risk of different human organs vulnerable to 2019-nCoV infection.单细胞 RNA 测序数据分析受体 ACE2 的表达揭示了不同人体器官易感染 2019-nCoV 的潜在风险。
Front Med. 2020 Apr;14(2):185-192. doi: 10.1007/s11684-020-0754-0. Epub 2020 Mar 12.
3
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.
4
Structure analysis of the receptor binding of 2019-nCoV.2019新型冠状病毒受体结合的结构分析
Biochem Biophys Res Commun. 2020 Feb 17;525(1):135-40. doi: 10.1016/j.bbrc.2020.02.071.
5
Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection.胸部计算机断层扫描在 2019 年冠状病毒病(COVID-19)中的表现:与感染持续时间的关系。
Radiology. 2020 Jun;295(3):200463. doi: 10.1148/radiol.2020200463. Epub 2020 Feb 20.
6
Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China.新型冠状病毒肺炎(2019-nCoV)患者的初始 CT 表现及时间演变:中国武汉 63 例患者研究。
Eur Radiol. 2020 Jun;30(6):3306-3309. doi: 10.1007/s00330-020-06731-x. Epub 2020 Feb 13.
7
Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing.胸部 CT 与典型 2019 冠状病毒病(COVID-19)肺炎:与阴性 RT-PCR 检测的关系。
Radiology. 2020 Aug;296(2):E41-E45. doi: 10.1148/radiol.2020200343. Epub 2020 Feb 12.
8
Chest CT Findings in 2019 Novel Coronavirus (2019-nCoV) Infections from Wuhan, China: Key Points for the Radiologist.中国武汉2019新型冠状病毒(2019-nCoV)感染的胸部CT表现:放射科医生的要点
Radiology. 2020 Apr;295(1):16-17. doi: 10.1148/radiol.2020200241. Epub 2020 Feb 4.
9
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV).2019 新型冠状病毒(2019-nCoV)的 CT 影像学特征。
Radiology. 2020 Apr;295(1):202-207. doi: 10.1148/radiol.2020200230. Epub 2020 Feb 4.
10
Middle East Respiratory Syndrome Coronavirus: What Does a Radiologist Need to Know?中东呼吸综合征冠状病毒:放射科医生需要了解什么?
AJR Am J Roentgenol. 2016 Jun;206(6):1193-201. doi: 10.2214/AJR.15.15363. Epub 2016 Mar 21.

拱桥征:一种新描述的冠状病毒病(COVID-19)肺炎的CT特征。

The arch bridge sign: a newly described CT feature of the coronavirus disease-19 (COVID-19) pneumonia.

作者信息

Wu Ruodai, Guan Wei, Gao Zhenhua, Wu Nashan, Lv Yungang, Liu Yumeng, Mi Rui, Xu Junqing

机构信息

Department of Radiology, Shenzhen University General Hospital, Shenzhen University Clinical Medical Academy, Shenzhen, China.

Department of Nuclear Medicine, the First People's Hospital of Foshan, Foshan, China.

出版信息

Quant Imaging Med Surg. 2020 Jul;10(7):1551-1558. doi: 10.21037/qims-20-688.

DOI:10.21037/qims-20-688
PMID:32676372
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7358413/
Abstract

BACKGROUND

To investigate the distribution of CT features and also to introduce a novel described CT feature of coronavirus disease-19 (COVID-19) pneumonia.

METHODS

A series of radiologic signs in 11 COVID-19 patients were summarized and made morphometric analysis.

RESULTS

A special sign termed as "the arch bridge sign" owing to its morphological mimicking an arch bridge was firstly introduced. Statistical analyze showed that the subpleural area is the priority distribution location (14/14) and the sign inclined to perform in those patients in a relatively early stage (6/8) and with moderate clinical severity (8/8). Segment VI in lower lobe involved most (6/14). In this retrospective study, other characteristic radiologic signs of COVID-19 pneumonia were analyzed synchronously. A series of radiologic signs were identified in bilateral lungs with a bias towards segment VI, I + II and X. Segment VI had the largest number of each sign. Ground-glass opacities (GGOs), subpleural distribution pattern and vessels dilatation were the top three most common signs among them.

CONCLUSIONS

The recognition of the arch bridge sign may benefit patient care by earlier definitive diagnosis of COVID-19 pneumonia. The lesions of COVID-19 pneumonia distributed mainly in the back-lung segments, which characteristic may light new ideas in clinical treatment and nursing strategy.

摘要

背景

探讨新型冠状病毒肺炎(COVID-19)的CT特征分布,并介绍一种新描述的CT特征。

方法

总结11例COVID-19患者的一系列影像学征象并进行形态计量分析。

结果

首次引入一种因其形态类似拱桥而被称为“拱桥征”的特殊征象。统计分析显示,胸膜下区域是优先分布位置(14/14),该征象倾向于在相对早期(6/8)和临床严重程度为中度(8/8)的患者中出现。下叶VI段受累最多(6/14)。在这项回顾性研究中,同步分析了COVID-19肺炎的其他特征性影像学征象。在双侧肺中发现了一系列影像学征象,以VI段、I+II段和X段为著。VI段每种征象的数量最多。磨玻璃影(GGO)、胸膜下分布模式和血管扩张是其中最常见的三大征象。

结论

识别拱桥征可能有助于通过早期明确诊断COVID-19肺炎来改善患者护理。COVID-19肺炎病变主要分布在肺后段,这一特征可能为临床治疗和护理策略提供新思路。