Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, P.R. Chinacountry>.
J Xray Sci Technol. 2020;28(5):885-892. doi: 10.3233/XST-200710.
In this article, we analyze and report cases of three patients who were admitted to Renmin Hospital, Wuhan University, China, for treating COVID-19 pneumonia in February 2020 and were unresponsive to initial treatment of steroids. They were then received titrated steroids treatment based on the assessment of computed tomography (CT) images augmented and analyzed with the artificial intelligence (AI) tool and output. Three patients were finally recovered and discharged. The result indicated that sufficient steroids may be effective in treating the COVID-19 patients after frequent evaluation and timely adjustment according to the disease severity assessed based on the quantitative analysis of the images of serial CT scans.
在这篇文章中，我们分析并报告了 3 例于 2020 年 2 月因 COVID-19 肺炎入住中国武汉大学人民医院，且初始类固醇治疗无效的患者。随后，我们根据增强和分析人工智能（AI）工具得出的 CT 图像评估，对他们进行了滴定式类固醇治疗。最终，3 名患者均痊愈出院。结果表明，根据连续 CT 扫描图像的定量分析评估疾病严重程度，进行频繁评估和及时调整，给予足够剂量的类固醇可能对 COVID-19 患者有效。
