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胸部计算机断层扫描病变密度变化与 COVID-19 患者临床改善的关系。

The relationship between lesion density change in chest computed tomography and clinical improvement in COVID-19 patients.

机构信息

Department of Radiology, Istinye University, Gaziosmanpasa Medical Park Hospital, Istanbul, Turkey.

Department of Radiology, Memorial Sloan Ketteting Cancer Center, Interventional Radiology, New York, NY, USA.

出版信息

Int J Clin Pract. 2021 Sep;75(9):e14355. doi: 10.1111/ijcp.14355. Epub 2021 May 24.

DOI:10.1111/ijcp.14355
PMID:33974359
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8236979/
Abstract

OBJECTIVE

To evaluate the association of changes in chest computed tomography (CT) lesion densities with clinical improvement in COVID-19 patients.

METHODS

This was a cross-sectional analysis of hospitalised COVID-19 patients who underwent repeated chest CT. Patients who improved clinically but showed radiological progression were included. Demographic data, presentation complaints and laboratory results were retrieved from the electronic database of the hospital. Lesion density that was measured in Hounsfield units was compred between admission and discharge chest CT scans.

RESULTS

Forty patients (21 males, mean age 47.4 ± 15.1 years) were included in the analysis. The median white blood cell count and C-reactive protein significantly decreased, whereas the median lymphocyte count significantly increased at discharge compared with the admission values. The mean density significantly reduced from admission to discharge.

CONCLUSION

This is the first study in the literature reporting reduction in chest CT lesion densities correlated with clinical and laboratory improvement in COVID-19 patients.

摘要

目的

评估 COVID-19 患者胸部计算机断层扫描(CT)病变密度变化与临床改善的相关性。

方法

这是一项对住院 COVID-19 患者进行重复胸部 CT 检查的病例对照研究。纳入临床改善但影像学进展的患者。从医院的电子数据库中检索人口统计学数据、临床表现和实验室结果。比较入院和出院时 CT 扫描的病变密度(以亨氏单位测量)。

结果

共纳入 40 例患者(21 例男性,平均年龄 47.4 ± 15.1 岁)。与入院值相比,出院时白细胞计数和 C 反应蛋白中位数显著降低,而淋巴细胞计数中位数显著升高。平均密度从入院到出院显著降低。

结论

这是文献中首次报道 COVID-19 患者胸部 CT 病变密度与临床和实验室改善相关的研究。

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本文引用的文献

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Evaluation of novel coronavirus disease (COVID-19) using quantitative lung CT and clinical data: prediction of short-term outcome.利用定量肺部CT和临床数据评估新型冠状病毒肺炎(COVID-19):短期预后预测
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Quantitative analysis of chest CT imaging findings with the risk of ARDS in COVID-19 patients: a preliminary study.COVID-19患者胸部CT影像表现与急性呼吸窘迫综合征风险的定量分析:一项初步研究
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Review of chest CT manifestations of COVID-19 infection.新型冠状病毒肺炎感染的胸部CT表现综述
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Chest lesion CT radiological features and quantitative analysis in RT-PCR turned negative and clinical symptoms resolved COVID-19 patients.RT-PCR检测呈阴性且临床症状已缓解的新冠肺炎患者胸部病变的CT影像学特征及定量分析
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Pitfalls of Computed Tomography in the Coronavirus 2019 (COVID-19) Era: A New Perspective on Ground-Glass Opacities.2019冠状病毒病(COVID-19)时代计算机断层扫描的陷阱:对磨玻璃影的新视角
Cureus. 2020 May 16;12(5):e8151. doi: 10.7759/cureus.8151.
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CT Quantitative Analysis and Its Relationship with Clinical Features for Assessing the Severity of Patients with COVID-19.CT 定量分析及其与临床特征的关系,用于评估 COVID-19 患者的严重程度。
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A systematic review of chest imaging findings in COVID-19.新型冠状病毒肺炎胸部影像学表现的系统评价
Quant Imaging Med Surg. 2020 May;10(5):1058-1079. doi: 10.21037/qims-20-564.
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J Am Coll Radiol. 2020 Jun;17(6):701-709. doi: 10.1016/j.jacr.2020.03.006. Epub 2020 Mar 25.
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J Transl Med. 2020 Apr 6;18(1):154. doi: 10.1186/s12967-020-02324-w.
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