• 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

The role of CT for Covid-19 patient's management remains poorly defined.

作者信息

Wang Yi Xiang J, Liu Wei-Hong, Yang Mo, Chen Wei

机构信息

Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China.

Department of Radiology, General hospital of China Resources & Wuhan Iron and Steel Corporation, Wuhan 430080, China.

出版信息

Ann Transl Med. 2020 Feb;8(4):145. doi: 10.21037/atm.2020.02.71.

DOI:10.21037/atm.2020.02.71
PMID:32175437
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7048972/
Abstract
摘要

相似文献

1
The role of CT for Covid-19 patient's management remains poorly defined.CT在新冠病毒肺炎患者管理中的作用仍未明确界定。
Ann Transl Med. 2020 Feb;8(4):145. doi: 10.21037/atm.2020.02.71.
2
Analysis of interobserver and intraobserver variability in CT tumor measurements.CT肿瘤测量中观察者间和观察者内变异性的分析。
AJR Am J Roentgenol. 1996 Oct;167(4):851-4. doi: 10.2214/ajr.167.4.8819370.
3
[The advantages of patient's active involvement in the management of chronic Inflammatory Bowel Diseases.].
Recenti Prog Med. 2019 May;110(5):236-243. doi: 10.1701/3163.31446.
4
Anesthesia management of ophthalmic surgery for patient with suspected/confirmed COVID-19 -Saudi Anesthesia Society guidelines.疑似/确诊新型冠状病毒肺炎患者眼科手术的麻醉管理——沙特麻醉学会指南
Saudi J Anaesth. 2020 Jul-Sep;14(3):355-358. doi: 10.4103/sja.SJA_260_20. Epub 2020 Apr 17.
5
18F-FDG PET/CT and Melanoma: Value of Fourth and Subsequent Posttherapy Follow-up Scans for Patient Management.18F-FDG PET/CT 与黑色素瘤:四次及后续治疗后随访扫描在患者管理中的价值。
Clin Nucl Med. 2016 Sep;41(9):e403-9. doi: 10.1097/RLU.0000000000001275.
6
MO-B-218-01: Managing the Pediatric Patient's CT Dose: The Role of SSDE.MO-B-218-01:管理儿科患者的CT辐射剂量:容积CT剂量指数的作用
Med Phys. 2012 Jun;39(6Part21):3863-3864. doi: 10.1118/1.4735774.
7
Exploring Nurse's Communicative Role in Nurse-Patient Relations: A Qualitative Study.探索护士在护患关系中的沟通角色:一项定性研究。
J Caring Sci. 2016 Dec 1;5(4):267-276. doi: 10.15171/jcs.2016.028. eCollection 2016 Dec.
8
Coronavirus (COVID-19) Infection in Pregnancy: Does Non-contrast Chest Computed Tomography (CT) Have a Role in Its Evaluation and Management?妊娠期冠状病毒(COVID-19)感染:非增强胸部计算机断层扫描(CT)在其评估和管理中起作用吗?
J Obstet Gynaecol India. 2020 Aug;70(4):272-274. doi: 10.1007/s13224-020-01341-5. Epub 2020 Jun 29.
9
Acute Respiratory Failure Secondary to COVID-19 Viral Pneumonia Managed With Hydroxychloroquine/Azithromycin Treatment.新冠病毒肺炎继发急性呼吸衰竭采用羟氯喹/阿奇霉素治疗
Cureus. 2020 May 25;12(5):e8268. doi: 10.7759/cureus.8268.
10
A Case Management System for Integrating Patient-reported Outcome Assessment in Clinical Practice: The Beacon Tool.用于将患者报告的结局评估整合到临床实践中的病例管理系统:Beacon 工具。
Med Care. 2019 May;57 Suppl 5 Suppl 1:S73-S79. doi: 10.1097/MLR.0000000000001095.

引用本文的文献

1
A hybrid inception-dilated-ResNet architecture for deep learning-based prediction of COVID-19 severity.一种用于基于深度学习预测COVID-19严重程度的混合Inception-扩张式ResNet架构。
Sci Rep. 2025 Feb 22;15(1):6490. doi: 10.1038/s41598-025-91322-3.
2
Investigation of Pulmonary Artery and Ascending Aorta Morphology in the Coronavirus Disease 2019: A Radioanatomical Study.2019冠状病毒病中肺动脉和升主动脉形态学研究:一项放射解剖学研究
Thorac Res Pract. 2023 Jan;24(1):40-44. doi: 10.5152/ThoracResPract.2023.22107.
3
COVID-19 diagnostic approaches with an extensive focus on computed tomography in accurate diagnosis, prognosis, staging, and follow-up.以计算机断层扫描为重点的COVID-19诊断方法在准确诊断、预后评估、分期及随访中的应用
Pol J Radiol. 2023 Jan 27;88:e53-e64. doi: 10.5114/pjr.2023.124597. eCollection 2023.
4
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study.深度学习结合胸部 X 光片对 COVID-19 患者预后的评估:回顾性队列研究。
J Med Internet Res. 2023 Feb 16;25:e42717. doi: 10.2196/42717.
5
Detection of COVID-19 and its pulmonary stage using Bayesian hyperparameter optimization and deep feature selection methods.使用贝叶斯超参数优化和深度特征选择方法检测新型冠状病毒肺炎及其肺部阶段
Expert Syst. 2022 Sep 26:e13141. doi: 10.1111/exsy.13141.
6
Automatic classification of severity of COVID-19 patients using texture feature and random forest based on computed tomography images.基于计算机断层扫描图像,利用纹理特征和随机森林对新冠肺炎患者的严重程度进行自动分类。
Int J Imaging Syst Technol. 2022 Jan;32(1):102-110. doi: 10.1002/ima.22679. Epub 2021 Nov 26.
7
Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review.基于监督和弱监督的深度学习模型在 COVID-19 CT 诊断中的应用:一项系统综述。
Comput Methods Programs Biomed. 2022 May;218:106731. doi: 10.1016/j.cmpb.2022.106731. Epub 2022 Mar 5.
8
COVID-19 Detection in CT/X-ray Imagery Using Vision Transformers.使用视觉Transformer在CT/X光图像中检测新冠病毒
J Pers Med. 2022 Feb 18;12(2):310. doi: 10.3390/jpm12020310.
9
Computed tomography findings in 3,557 COVID-19 infected children: a systematic review.3557名新冠病毒感染儿童的计算机断层扫描结果:一项系统综述
Quant Imaging Med Surg. 2021 Nov;11(11):4644-4660. doi: 10.21037/qims-20-1410.
10
The diagnostic value of chest X-ray in coronavirus disease 2019: A comparative study of X-ray and CT.胸部 X 线在 2019 年冠状病毒病中的诊断价值:X 线与 CT 的对比研究。
Sci Prog. 2021 Jul-Sep;104(3):368504211016204. doi: 10.1177/00368504211016204.

本文引用的文献

1
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.
2
Diagnosis, treatment, and prevention of 2019 novel coronavirus infection in children: experts' consensus statement.儿童 2019 年新型冠状病毒感染的诊断、治疗和预防:专家共识。
World J Pediatr. 2020 Jun;16(3):223-231. doi: 10.1007/s12519-020-00343-7. Epub 2020 Feb 7.
3
Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.《武汉 2019 年新型冠状病毒感染的肺炎 138 例住院患者临床特征分析》
JAMA. 2020 Mar 17;323(11):1061-1069. doi: 10.1001/jama.2020.1585.
4
A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia (standard version).新型冠状病毒(2019-nCoV)感染的肺炎快速诊治指南(标准版)。
Mil Med Res. 2020 Feb 6;7(1):4. doi: 10.1186/s40779-020-0233-6.
5
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.
6
First Case of 2019 Novel Coronavirus in the United States.美国首例 2019 新型冠状病毒病例。
N Engl J Med. 2020 Mar 5;382(10):929-936. doi: 10.1056/NEJMoa2001191. Epub 2020 Jan 31.
7
Association of Exposure to Diagnostic Low-Dose Ionizing Radiation With Risk of Cancer Among Youths in South Korea.韩国青少年诊断性低剂量电离辐射暴露与癌症风险的关联。
JAMA Netw Open. 2019 Sep 4;2(9):e1910584. doi: 10.1001/jamanetworkopen.2019.10584.
8
Ultrasound in neonatal lung disease.新生儿肺部疾病中的超声检查
Quant Imaging Med Surg. 2018 Jun;8(5):535-546. doi: 10.21037/qims.2018.06.01.
9
Lung nodules assessment in ultra-low-dose CT with iterative reconstruction compared to conventional dose CT.与传统剂量CT相比,迭代重建的超低剂量CT对肺结节的评估
Quant Imaging Med Surg. 2018 Jun;8(5):480-490. doi: 10.21037/qims.2018.06.05.
10
Can lung ultrasound replace chest radiography for the diagnosis of pneumonia in hospitalized children?肺部超声能否替代胸部X光用于诊断住院儿童的肺炎?
Respiration. 2014;88(2):112-5. doi: 10.1159/000362692. Epub 2014 Jul 2.