• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于住院前计算机断层扫描(CT)影像的新型冠状病毒肺炎(COVID-19)肺炎预后预测因素:一项回顾性研究

Predictors of coronavirus disease 19 (COVID-19) pneumonitis outcome based on computed tomography (CT) imaging obtained prior to hospitalization: a retrospective study.

作者信息

Mirza-Aghazadeh-Attari Mohammad, Zarrintan Armin, Nezami Nariman, Mohammadi Afshin, Zarrintan Anita, Mohebbi Iraj, Pirnejad Habibollah, Khademvatani Kamal, Ashkavand Zahra, Forughi Payman, Arasteh Amin, Attari Javad Aghazadeh

机构信息

Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.

Medical Radiation Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.

出版信息

Emerg Radiol. 2020 Dec;27(6):653-661. doi: 10.1007/s10140-020-01833-x. Epub 2020 Aug 8.

DOI:10.1007/s10140-020-01833-x
PMID:32770367
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7414287/
Abstract

PURPOSE

Computed tomography (CT) has been utilized as a diagnostic modality in the coronavirus disease 19 (COVID-19), while some studies have also suggested a prognostic role for it. This study aimed to assess the diagnostic and prognostic value of computed tomography (CT) imaging in COVID-19 patients.

METHODS

This was a retrospective study of fifty patients with COVID-19 pneumonia. Twenty-seven patients survived, while 23 passed away. CT imaging was performed in all of the patients on the day of admission. Imaging findings were interpreted based on current guidelines by two expert radiologists. Imaging findings were compared between surviving and deceased patients. Lung scores were assigned to patients based on CT chest findings. Then, the receiver operating characteristic curve was used to determine cutoff values for lung scores.

RESULTS

The common radiologic findings were ground-glass opacities (82%) and airspace consolidation (42%), respectively. Air bronchogram was more commonly seen in deceased patients (p = 0.04). Bilateral and multilobar involvement was more frequently found in deceased patients (p = 0.049 and 0.014, respectively). The mean number of involved lobes was 3.46 ± 1.80 lobes in surviving patients and 4.57 ± 0.60 lobes in the deceased patients (p = 0.009). The difference was statistically significant. The area under the curve for a lung score cutoff of 12 was 0.790.

CONCLUSION

Air bronchogram and bilateral and multilobar involvement were more frequently seen in deceased patients and may suggest a poor outcome for COVID-19 pneumonia.

摘要

目的

计算机断层扫描(CT)已被用作冠状病毒病19(COVID-19)的诊断手段,而一些研究也表明其具有预后作用。本研究旨在评估CT成像在COVID-19患者中的诊断和预后价值。

方法

这是一项对50例COVID-19肺炎患者的回顾性研究。27例患者存活,23例死亡。所有患者在入院当天均进行了CT成像。两名专家放射科医生根据现行指南对影像结果进行解读。比较存活患者和死亡患者的影像结果。根据胸部CT表现为患者分配肺部评分。然后,使用受试者操作特征曲线确定肺部评分的临界值。

结果

常见的放射学表现分别为磨玻璃影(82%)和实变影(42%)。空气支气管征在死亡患者中更常见(p = 0.04)。双侧和多叶受累在死亡患者中更常见(分别为p = 0.049和0.014)。存活患者受累肺叶的平均数量为3.46±1.80个肺叶,死亡患者为4.57±0.60个肺叶(p = 0.009)。差异具有统计学意义。肺部评分临界值为12时的曲线下面积为0.790。

结论

空气支气管征以及双侧和多叶受累在死亡患者中更常见,可能提示COVID-19肺炎预后不良。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f15d/7414287/80f440fd0746/10140_2020_1833_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f15d/7414287/9a565f54d5e2/10140_2020_1833_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f15d/7414287/90969da223af/10140_2020_1833_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f15d/7414287/80f440fd0746/10140_2020_1833_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f15d/7414287/9a565f54d5e2/10140_2020_1833_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f15d/7414287/90969da223af/10140_2020_1833_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f15d/7414287/80f440fd0746/10140_2020_1833_Fig3_HTML.jpg

相似文献

1
Predictors of coronavirus disease 19 (COVID-19) pneumonitis outcome based on computed tomography (CT) imaging obtained prior to hospitalization: a retrospective study.基于住院前计算机断层扫描(CT)影像的新型冠状病毒肺炎(COVID-19)肺炎预后预测因素:一项回顾性研究
Emerg Radiol. 2020 Dec;27(6):653-661. doi: 10.1007/s10140-020-01833-x. Epub 2020 Aug 8.
2
Clinical characteristics and chest CT imaging features of critically ill COVID-19 patients.危重症 COVID-19 患者的临床特征和胸部 CT 影像学特征。
Eur Radiol. 2020 Nov;30(11):6151-6160. doi: 10.1007/s00330-020-06955-x. Epub 2020 May 30.
3
Clinical and radiological changes of hospitalised patients with COVID-19 pneumonia from disease onset to acute exacerbation: a multicentre paired cohort study.新型冠状病毒肺炎住院患者从发病到急性加重期的临床及影像学变化:一项多中心配对队列研究
Eur Radiol. 2020 Oct;30(10):5702-5708. doi: 10.1007/s00330-020-06916-4. Epub 2020 May 8.
4
Thoracic imaging of coronavirus disease 2019 (COVID-19) in children: a series of 91 cases.儿童 2019 冠状病毒病(COVID-19)的胸部影像学表现:系列病例 91 例。
Pediatr Radiol. 2020 Sep;50(10):1354-1368. doi: 10.1007/s00247-020-04747-5. Epub 2020 Aug 4.
5
Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19).新冠肺炎(COVID-19)康复过程中胸部 CT 肺部变化的时间进程。
Radiology. 2020 Jun;295(3):715-721. doi: 10.1148/radiol.2020200370. Epub 2020 Feb 13.
6
Chest CT in COVID-19 pneumonia: what are the findings in mid-term follow-up?新型冠状病毒肺炎的胸部CT:中期随访结果如何?
Emerg Radiol. 2020 Dec;27(6):711-719. doi: 10.1007/s10140-020-01869-z. Epub 2020 Nov 9.
7
The Performance of Chest CT in Evaluating the Clinical Severity of COVID-19 Pneumonia: Identifying Critical Cases Based on CT Characteristics.胸部 CT 对评估 COVID-19 肺炎临床严重程度的性能:基于 CT 特征识别重症病例。
Invest Radiol. 2020 Jul;55(7):412-421. doi: 10.1097/RLI.0000000000000689.
8
A Comparison of Clinical and Chest CT Findings in Patients With Influenza A (H1N1) Virus Infection and Coronavirus Disease (COVID-19).甲型流感病毒(H1N1)感染与新型冠状病毒肺炎(COVID-19)患者的临床和胸部 CT 表现比较。
AJR Am J Roentgenol. 2020 Nov;215(5):1065-1071. doi: 10.2214/AJR.20.23214. Epub 2020 May 26.
9
CT findings of patients infected with SARS-CoV-2.感染 SARS-CoV-2 患者的 CT 影像学表现。
BMC Med Imaging. 2020 Jun 23;20(1):70. doi: 10.1186/s12880-020-00471-6.
10
Early chest CT features of patients with 2019 novel coronavirus (COVID-19) pneumonia: relationship to diagnosis and prognosis.2019 年新型冠状病毒(COVID-19)肺炎患者的早期胸部 CT 特征:与诊断和预后的关系。
Eur Radiol. 2020 Nov;30(11):6178-6185. doi: 10.1007/s00330-020-06978-4. Epub 2020 Jun 9.

引用本文的文献

1
Prognostication and integration of bedside lung ultrasound and computed tomography imaging findings with clinical features to Predict COVID-19 In-hospital mortality and ICU admission.结合临床特征对床旁肺部超声和计算机断层扫描成像结果进行预后评估与整合,以预测COVID-19患者的院内死亡率和入住重症监护病房情况。
Emerg Radiol. 2025 Apr;32(2):255-266. doi: 10.1007/s10140-025-02320-x. Epub 2025 Feb 18.
2
Is target sign (bull's eye appearance) associated with adverse outcomes in COVID-19 patients? A case series and literature review.靶征(牛眼征)与COVID-19患者的不良预后相关吗?一项病例系列研究及文献综述。
Caspian J Intern Med. 2022;13(Suppl 3):270-276. doi: 10.22088/cjim.13.0.270.
3

本文引用的文献

1
The Epidemiological Characteristics of an Outbreak of 2019 Novel Coronavirus Diseases (COVID-19) - China, 2020.2019新型冠状病毒病(COVID-19)疫情的流行病学特征 - 中国,2020年
China CDC Wkly. 2020 Feb 21;2(8):113-122.
2
CT Features and Short-term Prognosis of COVID-19 Pneumonia: A Single-Center Study from Kashan, Iran.新型冠状病毒肺炎的CT特征及短期预后:来自伊朗卡尚的一项单中心研究
Radiol Cardiothorac Imaging. 2020 Apr 20;2(2):e200130. doi: 10.1148/ryct.2020200130. eCollection 2020 Apr.
3
The immunology of COVID-19: is immune modulation an option for treatment?
Chest CT Scan Features to Predict COVID-19 Patients' Outcome and Survival.
预测新冠病毒肺炎患者预后和生存的胸部CT扫描特征
Radiol Res Pract. 2022 Feb 26;2022:4732988. doi: 10.1155/2022/4732988. eCollection 2022.
4
Occurrence of pulmonary residuals as one of the sequelae of COVID-19 and it's predictors among moderate and severe cases.COVID-19 后遗症之一的肺部残余物的发生及其在中重度病例中的预测因素。
Indian J Tuberc. 2021 Oct;68(4):450-456. doi: 10.1016/j.ijtb.2021.01.006. Epub 2021 Feb 3.
5
COVID-19 ARDS: a review of imaging features and overview of mechanical ventilation and its complications.COVID-19 相关急性呼吸窘迫综合征:影像学特征综述及机械通气概述与并发症
Emerg Radiol. 2022 Feb;29(1):23-34. doi: 10.1007/s10140-021-01976-5. Epub 2021 Oct 26.
6
DenseNet Convolutional Neural Networks Application for Predicting COVID-19 Using CT Image.基于CT图像的DenseNet卷积神经网络在预测新型冠状病毒肺炎中的应用
SN Comput Sci. 2021;2(5):389. doi: 10.1007/s42979-021-00782-7. Epub 2021 Jul 23.
7
CT-based radiomics for predicting the rapid progression of coronavirus disease 2019 (COVID-19) pneumonia lesions.基于 CT 的影像组学预测 2019 冠状病毒病(COVID-19)肺炎病变的快速进展。
Br J Radiol. 2021 Jun 1;94(1122):20201007. doi: 10.1259/bjr.20201007. Epub 2021 Apr 21.
新型冠状病毒肺炎的免疫学:免疫调节是一种治疗选择吗?
Lancet Rheumatol. 2020 Jul;2(7):e428-e436. doi: 10.1016/S2665-9913(20)30120-X. Epub 2020 May 20.
4
The effect of frailty on survival in patients with COVID-19 (COPE): a multicentre, European, observational cohort study.衰弱对 COVID-19 患者生存的影响(COPE):一项多中心、欧洲、观察性队列研究。
Lancet Public Health. 2020 Aug;5(8):e444-e451. doi: 10.1016/S2468-2667(20)30146-8. Epub 2020 Jun 30.
5
Clinical and radiological characteristics of pediatric patients with COVID-19: focus on imaging findings.新型冠状病毒肺炎患儿的临床和影像学特征:聚焦影像学表现
Jpn J Radiol. 2020 Oct;38(10):987-992. doi: 10.1007/s11604-020-01003-6. Epub 2020 Jun 13.
6
Update on treatment of COVID-19: ongoing studies between promising and disappointing results.2019冠状病毒病治疗进展:在充满希望和令人失望的结果之间不断进行的研究。
Infez Med. 2020;28(2):198-211.
7
Chest CT findings of COVID-19 pneumonia by duration of symptoms.以症状持续时间为特征的 COVID-19 肺炎的胸部 CT 表现。
Eur J Radiol. 2020 Jun;127:109009. doi: 10.1016/j.ejrad.2020.109009. Epub 2020 Apr 18.
8
The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients.中性粒细胞与淋巴细胞比值、动态中性粒细胞与淋巴细胞比值及血小板与淋巴细胞比值在 COVID-19 患者中的诊断及预测作用。
Int Immunopharmacol. 2020 Jul;84:106504. doi: 10.1016/j.intimp.2020.106504. Epub 2020 Apr 13.
9
Well-aerated Lung on Admitting Chest CT to Predict Adverse Outcome in COVID-19 Pneumonia.胸部 CT 显示充气良好的肺可预测 COVID-19 肺炎的不良结局。
Radiology. 2020 Aug;296(2):E86-E96. doi: 10.1148/radiol.2020201433. Epub 2020 Apr 17.
10
Diagnostic Performance of CT and Reverse Transcriptase Polymerase Chain Reaction for Coronavirus Disease 2019: A Meta-Analysis.CT 与逆转录聚合酶链反应检测 2019 年冠状病毒病的诊断性能:一项荟萃分析。
Radiology. 2020 Sep;296(3):E145-E155. doi: 10.1148/radiol.2020201343. Epub 2020 Apr 17.