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Evolution of CT Findings and Lung Residue in Patients with COVID-19 Pneumonia: Quantitative Analysis of the Disease with a Computer Automatic Tool

机译:Covid-19肺炎患者CT发现和肺残留的演变:用电脑自动工具定量分析疾病

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摘要

Purpose: the purpose of this study was to assess the evolution of computed tomography (CT) findings and lung residue in patients with COVID-19 pneumonia, via quantified evaluation of the disease, using a computer aided tool. Materials and methods: we retrospectively evaluated 341 CT examinations of 140 patients (68 years of median age) infected with COVID-19 (confirmed by real-time reverse transcriptase polymerase chain reaction (RT-PCR)), who were hospitalized, and who received clinical and CT examinations. All CTs were evaluated by two expert radiologists, in consensus, at the same reading session, using a computer-aided tool for quantification of the pulmonary disease. The parameters obtained using the computer tool included the healthy residual parenchyma, ground glass opacity, consolidation, and total lung volume. Results: statistically significant differences (p value ≤ 0.05) were found among quantified volumes of healthy residual parenchyma, ground glass opacity (GGO), consolidation, and total lung volume, considering different clinical conditions (stable, improved, and worsened). Statistically significant differences were found among quantified volumes for healthy residual parenchyma, GGO, and consolidation (p value ≤ 0.05) between dead patients and discharged patients. CT was not performed on cadavers; the death was an outcome, which was retrospectively included to differentiate findings of patients who survived vs. patients who died during hospitalization. Among discharged patients, complete disease resolutions on CT scans were observed in 62/129 patients with lung disease involvement ≤5%; lung disease involvement from 5% to 15% was found in 40/129 patients, while 27/129 patients had lung disease involvement between 16 and 30%. Moreover, 8–21 days (after hospital admission) was an “advanced period” with the most severe lung disease involvement. After the extent of involvement started to decrease—particularly after 21 days—the absorption was more obvious. Conclusions: a complete disease resolution on chest CT scans was observed in 48.1% of discharged patients using a computer-aided tool to quantify the GGO and consolidation volumes; after 16 days of hospital admission, the abnormalities identified by chest CT began to improve; in particular, the absorption was more obvious after 21 days.
机译:目的:本研究的目的是评估使用计算机辅助工具的Covid-19肺炎患者的计算机断层扫描(CT)发现和肺残留物的演变。材料和方法:我们回顾性评估了140名患者(68年中位数)感染的341 CT检查(68岁)被住院治疗的Covid-19(通过实时逆转录酶聚合酶链反应(RT-PCR)确认)及接受临床和CT检查。所有CTS通过两个专家放射科医生在相同的阅读会议上共识,使用计算机辅助工具进行肺疾病的计算机辅助工具。使用计算机工具获得的参数包括健康残留的实质,地面玻璃不透明度,固结和总肺体积。结果:考虑到不同的临床条件(稳定,改善,恶化),发现统计学性残留薄壁组织,磨碎玻璃不透明度(GGO),固结和总肺体积的量化体积差异(P值≤0.05)。在死亡患者和排放患者之间的定量体积中的定量体积(P值≤0.05)中发现了统计学显着的差异。 CT没有在尸体上进行;死亡是一种结果,回顾性地包括在分化患者与住院期间死亡的患者的患者的结果。在排放的患者中,在62/129名肺病患者中观察到CT扫描的完整疾病决议患者≤5%;在40/129名患者中发现肺病5%〜15%,而27/129例患者肺病受累16%至30%。此外,8-21天(医院入院后)是具有最严重的肺病受累的“先进时期”。在参与程度开始降低 - 特别是在21天后 - 吸收更明显。结论:使用计算机辅助工具在48.1%的排放患者中观察到胸部CT扫描的完整疾病解决方案,以量化GGO和整合体积;在入院16天后,胸部CT鉴定的异常开始改善;特别是,21天后,吸收更明显。

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