scholarly journals Thorax CT findings of temporal changes in a case with COVID-19 pneumonia

2021 ◽  
Vol 12 (03) ◽  
2021 ◽  
Vol 29 ◽  
pp. 297-309
Author(s):  
Xiaohui Chen ◽  
Wenbo Sun ◽  
Dan Xu ◽  
Jiaojiao Ma ◽  
Feng Xiao ◽  
...  

BACKGROUND: Computed tomography (CT) imaging combined with artificial intelligence is important in the diagnosis and prognosis of lung diseases. OBJECTIVE: This study aimed to investigate temporal changes of quantitative CT findings in patients with COVID-19 in three clinic types, including moderate, severe, and non-survivors, and to predict severe cases in the early stage from the results. METHODS: One hundred and two patients with confirmed COVID-19 were included in this study. Based on the time interval between onset of symptoms and the CT scan, four stages were defined in this study: Stage-1 (0 ∼7 days); Stage-2 (8 ∼ 14 days); Stage-3 (15 ∼ 21days); Stage-4 (> 21 days). Eight parameters, the infection volume and percentage of the whole lung in four different Hounsfield (HU) ranges, ((-, -750), [-750, -300), [-300, 50) and [50, +)), were calculated and compared between different groups. RESULTS: The infection volume and percentage of four HU ranges peaked in Stage-2. The highest proportion of HU [-750, 50) was found in the infected regions in non-survivors among three groups. CONCLUSIONS: The findings indicate rapid deterioration in the first week since the onset of symptoms in non-survivors. Higher proportion of HU [-750, 50) in the lesion area might be a potential bio-marker for poor prognosis in patients with COVID-19.


2021 ◽  
Vol 21 (2) ◽  
pp. 227-237
Author(s):  
Ali Ramazan Benli ◽  
Hümeyra Aslaner ◽  
Mebrure Beyza Gökçek ◽  
Adil Çetin ◽  
Nevzat Herdem ◽  
...  
Keyword(s):  
Rt Pcr ◽  

2020 ◽  
Vol 30 (6) ◽  
pp. 3306-3309 ◽  
Author(s):  
Yueying Pan ◽  
Hanxiong Guan ◽  
Shuchang Zhou ◽  
Yujin Wang ◽  
Qian Li ◽  
...  

2021 ◽  
Vol 10 (2) ◽  
pp. 205846012198930
Author(s):  
Şaban Tiryaki ◽  
Hakan Dabeşlim ◽  
Yusuf Aksu

Background In December 2019, pneumonia cases of unknown cause were announced in Wuhan, China. The causative agent of pneumonia was identified as coronavirus 2 (SARS-CoV-2), and the disease was named coronavirus disease 2019 (COVID-19). Purpose To evaluate the usefulness of computed thoracic tomography (CT) and postero anterior (PA) thoracic radiography in patients with COVID-19. Material and Methods Between March and June 2020, the patients who arrived at our hospital with suspicion of COVID-19 were retrospectively analyzed. Thorax CT findings of the 281 patients (142 females and 139 males; age range 3–91 years) with positive PCR tests were evaluated. Lesions in the lung parenchyma were examined according to their number, localization, and distribution. PA chest radiograms were classified into two groups, positive and negative for the lung parenchymal lesions. Results Of the total 281 patients with PCR-positive COVID-19, CT examinations were normal in 107 (38.1%), and positive CT findings for pneumonia were found in 174 patients (61.9%). Bilateral involvement was observed in 100 (57.5%) of the 174 patients with positive CT findings, and unilateral involvement was observed in 74 (42.5%) of them. According to the localization of the lesions, peripheral subpleural distribution occurred in 160 of the 174 patients (91.9). The most common lesion was the ground glass opacities (GGO). In 77 of 281 PCR-positive patients (27.4), pulmonary lesions were found on PA chest radiograms. Conclusion The presence of bilateral posterior subpleural GGO, nodule, and consolidation in thoracic CT are significant in terms of COVID-19 pneumonia.


2008 ◽  
Vol 40 (1) ◽  
pp. 71-76 ◽  
Author(s):  
H. Lakadamyali ◽  
H. Lakadamyali ◽  
T. Ergun

Author(s):  
A Sari ◽  
B Armagan ◽  
A Erden ◽  
L Kilic ◽  
O Karadag ◽  
...  

2020 ◽  
Vol 17 (17) ◽  
pp. 2653-2662 ◽  
Author(s):  
Meng Dai ◽  
Xiaoming Liu ◽  
Xiqi Zhu ◽  
Tiejun Liu ◽  
Cihao Xu ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document