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Abstract：
Background COVID-19, caused by the SARS-CoV-2 virus, has presented an unparalleled challenge and a profound learning curve globally. Among the myriad of investigative tools, CT scans of the chest have become instrumental in assessing the magnitude of lung involvement in the pathogenesis of this disease. Objectives This study aimed to evaluate the distribution and patterns of lung involvement depicted in the CT chest scans of COVID-19 patients admitted to a specialized tertiary care center located in a southern state of India. Methods With clearance secured from the Institutional Ethics Committee, an analytical cross-sectional study was conducted. It encompassed CT chest images from all symptomatic COVID-19 patients within the designated study center during the specified study timeline. Subsequent data analysis ensued. Results Among the 1066 COVID-19 patients evaluated, ground-glass opacities (GGO) were the predominant lung involvement pattern. Distinct patterns, such as GGOs combined with solid consolidation or atelectasis, were noted, with the highest mortality linked to GGOs paired with pneumomediastinum (PM). Data underscored a direct correlation between the extent of lung involvement and patient prognosis, with specific lung regions, namely the right apical, right posterior, right superior basal, left superior lingular, and left inferior lingular segments, showing frequent involvement. Conclusion Amidst the pandemic, our study emphasizes that ground-glass opacities on CT scans are robust indicators of COVID-19 in RT-PCR-positive patients. Early identification can enhance patient management, with findings highlighting a strong link between lung involvement and prognosis. This insight aids in refining patient triage, while further research is warranted to delve deeper into variations in lung involvement and guide treatment advancements.
摘要：
背景由SARS-CoV-2病毒引起的COVID-19，在全球范围内提出了无与伦比的挑战和深刻的学习曲线。在无数的调查工具中，胸部CT扫描已成为评估该疾病发病机理中肺部受累程度的工具。目的本研究旨在评估在位于印度南部州的专门三级护理中心收治的COVID-19患者的CT胸部扫描中描绘的肺部受累的分布和模式。方法获得机构伦理委员会的许可，进行了分析性横断面研究.它包括指定研究时间线期间指定研究中心内所有有症状的COVID-19患者的CT胸部图像。随后进行了数据分析。结果在评估的1066例COVID-19患者中，毛玻璃混浊（GGO）是主要的肺部受累模式。独特的模式，如GGO结合固体巩固或肺不张，被注意到，与GGO和纵隔气肿（PM）相关的死亡率最高。数据强调了肺部受累程度与患者预后之间的直接相关性，有特定的肺区域，即右根尖，右后,右上基底，左上舌状，和左下舌节，表现出频繁的参与。结论在大流行期间,我们的研究强调,在RT-PCR阳性患者中,CT扫描显示的毛玻璃样是COVID-19的可靠指标.及早识别可加强病人管理,研究结果强调了肺部受累和预后之间的紧密联系。这种见解有助于完善患者分类，虽然有必要进行进一步的研究，以深入研究肺部受累的变化并指导治疗进展。
