关键词: COVID-19 Infectious disease medicine Multidetector computed tomography Pneumonia

来  源:   DOI:10.1186/s13244-021-01019-0   PDF(Sci-hub)   PDF(Pubmed)

Abstract:
BACKGROUND: To retrospectively analyze CT appearances and progression pattern of COVID-19 during hospitalization, and analyze imaging findings of follow-up on thin-section CT.
METHODS: CT findings of 69 patients with COVID-19 were evaluated on initial CT, peak CT, and pre-discharge CT. CT pattern were divided into four types on CT progression. Lesion percentage of pulmonary lobe (lobe score) was graded. Correlation analysis was made between scores and intervals. 53 patients were followed up by CT.
RESULTS: Among 69 patients, 33.3% exhibited improvement pattern, 65.2% peak pattern, 1.5% deterioration pattern, and 0% fluctuation pattern. The lobe scores were positively correlated with most of intervals. It was more common to observe consolidation, pleural thickening and pleural effusion on the peak CT, and irregular line and reticulation on pre-discharge CT. The peak-initial interval were shortened when the initial CT with consolidation and pleural thickening. The intervals were extended when the irregular lines appeared on peak CT and reticulation on pre-discharge CT. Among 53 follow-up patients, 37.7% showed normal chest CT, and 62.3% showed viral pneumonia remained that mainly included GGO (100.0%) and irregular lines (33.3%).
CONCLUSIONS: COVID-19 displayed different appearances on CT as progressing. The peak pattern was the most common progression pattern. The CT appearances showed closely related to the intervals. The COVID-19 pneumonia can be remained or completely absorbed on CT with follow-up.
摘要:
背景:回顾性分析住院期间COVID-19的CT表现和进展模式,并分析薄层CT随访的影像学表现。
方法:对69例COVID-19患者的CT表现进行首次CT评估,峰值CT,和出院前CT。CT模式在CT进展上分为四种类型。对肺叶病变百分比(肺叶评分)进行分级。对评分和区间进行相关性分析。53例患者行CT随访。
结果:在69名患者中,33.3%表现出改善模式,65.2%峰值模式,1.5%的劣化模式,和0%的波动模式。肺叶评分与大多数间隔呈正相关。更常见的是观察巩固,胸膜增厚和胸腔积液的峰值CT,以及出院前CT上不规则的线条和网状。当初始CT合并实变和胸膜增厚时,峰值初始间隔缩短。当不规则线出现在峰值CT上并且在放电前CT上出现网状物时,间隔延长。在53名随访患者中,37.7%胸部CT显示正常,62.3%的病毒性肺炎仍然存在,主要包括GGO(100.0%)和不规则系(33.3%)。
结论:COVID-19在CT上表现出不同的表现。峰值模式是最常见的进展模式。CT表现与间期密切相关。COVID-19肺炎在CT上可以保留或完全吸收,随访。
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