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新型冠状病毒肺炎肺部高分辨率计算机断层扫描及逆转录聚合酶链反应技术的临床评估:迈向基于风险因素的传染病诊断

Clinical evaluation of SARS-CoV-2 lung HRCT and RT-PCR Techniques: Towards risk factor based diagnosis of infectious diseases.

作者信息

Asadi Fariba, Shahnazari Razieh, Bhalla Nikhil, Payam Amir Farokh

机构信息

Fateme Alzahra Hospital, Isfahan University of Medical Sciences, Isfahan, Iran.

Firozabadi Hospital, Department of Radiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.

出版信息

Comput Struct Biotechnol J. 2021;19:2699-2707. doi: 10.1016/j.csbj.2021.04.058. Epub 2021 Apr 30.

DOI:10.1016/j.csbj.2021.04.058
PMID:33968332
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8084916/
Abstract

This study uses image analysis techniques for comparative analysis of the lung HRCT features and RT-PCR of 325 suspected patients to COVID-19 pneumonia. Our findings propose more caution in the interpretation of RT-PCR data, promoting, instead, also the quantification of age and sex-based risk factors using HRCT images. Statistical analysis of our methodology reveals a direct relation between intensity, skewness and kurtosis of the radiological features and the gender of patients. Moreover, we investigate the effect of the age of patients on the appearance of COVID-19 pneumonia in the HRCT images. We have also applied our methodology to investigate the effect of time on the severity of COVID-19 pneumonia within the lungs. Subsequently, we find a strong relationship between image analysis and the informed medical diagnosis asserted by the radiologists. Additionally, our results also indicate increase in the severity of lung infection in the first and second week after the onset of the SARS-CoV-2 symptoms. Thereafter, a gradual decrease in the lung damage is observed during the third week. The proposed image analysis methodology can be used as a simple complementary tool for infectious disease diagnostics as demonstrated in this study with an example of SARS-CoV-2 to provide better understanding of the disease for drug and vaccine development.

摘要

本研究采用图像分析技术,对325例疑似新型冠状病毒肺炎患者的肺部高分辨率计算机断层扫描(HRCT)特征与逆转录聚合酶链反应(RT-PCR)进行对比分析。我们的研究结果表明,在解读RT-PCR数据时应更加谨慎,相反,还应利用HRCT图像对基于年龄和性别的风险因素进行量化。对我们方法的统计分析揭示了放射学特征的强度、偏度和峰度与患者性别之间的直接关系。此外,我们还研究了患者年龄对HRCT图像中新型冠状病毒肺炎表现的影响。我们还应用我们的方法来研究时间对肺部新型冠状病毒肺炎严重程度的影响。随后,我们发现图像分析与放射科医生进行的明智医学诊断之间存在密切关系。此外,我们的结果还表明,在感染严重急性呼吸综合征冠状病毒2(SARS-CoV-2)症状出现后的第一周和第二周,肺部感染的严重程度有所增加。此后,在第三周观察到肺损伤逐渐减轻。如本研究以SARS-CoV-2为例所示,所提出的图像分析方法可作为传染病诊断的一种简单辅助工具,以便为药物和疫苗开发更好地了解该疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c151/8131273/50523a00ad5e/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c151/8131273/045ac1733acb/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c151/8131273/3c5311a2af6f/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c151/8131273/4c14c8c63c7c/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c151/8131273/5ae5ca7c8288/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c151/8131273/369811f5629b/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c151/8131273/6f56f09f1c36/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c151/8131273/50523a00ad5e/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c151/8131273/045ac1733acb/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c151/8131273/3c5311a2af6f/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c151/8131273/4c14c8c63c7c/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c151/8131273/5ae5ca7c8288/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c151/8131273/369811f5629b/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c151/8131273/6f56f09f1c36/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c151/8131273/50523a00ad5e/gr6.jpg

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