基于胸部CT定量分析的武汉2019冠状病毒病肺炎普通和重症患者分类

Chinese Journal of Academic Radiology Pub Date : 2021-01-01 Epub Date: 2021-04-08 DOI:10.1007/s42058-021-00061-7
Chongtu Yang, Guijuan Cao, Fen Liu, Jiacheng Liu, Songjiang Huang, Bin Xiong
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引用次数: 8

摘要

目的:本研究旨在比较普通和重型冠状病毒病2019 (COVID-19)临床过程中可量化的影像学表现及其动态变化,为两类疾病的影像学分型提供有价值的依据。方法:对112例实验室确诊的COVID-19患者进行回顾性分析。通过计算机辅助软件测量肺部感染的体积百分比和密度。记录临床参数以反映疾病进展。比较两组的基线数据和动态变化,并采用决策树算法确定分界值进行分类。结果:最终纳入93例患者,根据现行标准分为普通组(n = 76)和重症组(n = 17)。与普通患者相比,重症患者的晚期、峰期、平台期较短,而吸收期较长。体积和密度的动态变化与临床病程一致。两组体积百分率的四分位数间距分别为1.0 ~ 7.2%和11.4 ~ 31.2%。重症组感染的基线体积百分比明显高于对照组,其临界值为10.10%。结论:重症与普通患者的体积百分率有显著性差异。由于对COVID-19肺炎患者进行了系统的连续CT扫描,因此这种定量分析可以同时为医生评估其临床病程并准确分类普通和重症患者提供有价值的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Quantitative analysis based on chest CT classifies common and severe patients with coronavirus disease 2019 pneumonia in Wuhan, China.

Objective: This study aimed to compare quantifiable radiologic findings and their dynamic change throughout the clinical course of common and severe coronavirus disease 2019 (COVID-19), and to provide valuable evidence for radiologic classification of the two types of this disease.

Methods: 112 patients with laboratory-confirmed COVID-19 were retrospectively analyzed. Volumetric percentage of infection and density of the lung were measured by a computer-aided software. Clinical parameters were recorded to reflect disease progression. Baseline data and dynamic change were compared between two groups and a decision-tree algorithm was developed to determine the cut-off value for classification.

Results: 93 patients were finally included and were divided into common group (n = 76) and severe group (n = 17) based on current criteria. Compared with common patients, severe patients experienced shorter advanced stage, peak time and plateau, but longer absorption stage. The dynamic change of volume and density coincided with the clinical course. The interquartile range of volumetric percentage of the two groups were 1.0-7.2% and 11.4-31.2%, respectively. Baseline volumetric percentage of infection was significantly higher in severe group, and the cut-off value of it was 10.10%.

Conclusions: Volumetric percentage between severe and common patients was significantly different. Because serial CT scans are systemically performed in patients with COVID-19 pneumonia, this quantitative analysis can simultaneously provide valuable information for physicians to evaluate their clinical course and classify common and severe patients accurately.

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