Value of CT findings in predicting transformation of clinical types of COVID-19

Q4 Medicine
Zhibin Lyu, Chun-shuang Guan, Shuo Yan, Tao Cui, A. Zhou, R. Xie, Budong Chen
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引用次数: 7

Abstract

Objective To investigate the value of CT findings in predicting transformation of clinical types of COVID-19. Methods From January 24 to February 6, 2020, the clinical and chest CT data of patients with common covid-19 were analyzed retrospectively. A total of 64 patients were enrolled, 32 males and 32 females, ranging in age from 18 to 76 years, with an average age of (45 ± 15) years. Based on the fact whether patients’ conditions had deteriorated into severe type, all the cases were divided into common type group (51 cases) and deteriorated type group (13cases). Differences of CT findings in two groups of patients were analyzed, and visual semi-quantitative scores were introduced to evaluate the pneumonia. Results Compared with the common type group, the heavy type group was more likely to involve the left upper lobe, the right middle lobe and the part far away from the pleura. The difference between the two groups was statistically significant (χ2= 5.897, P = 0.027; χ2= 8.549, P= 0.005; χ2= 10.169,P= 0.002). There were 2 (1,5) medians of the involved lobes in the general type group and 5 (4,5) medians of the involved lobes in the heavy type group. The difference between the two groups was statistically significant (Z = -3.303, P = 0.001). Taking the involved lobes (n=4) as the boundary value, the sensitivity and specificity of the diagnosis of the general type to the heavy type patients were the highest, 76.9% and 74.5% respectively, and the area under the ROC curve was 0.787. Pneumonia score 10 (4,16) of the severe group was higher than that of the common group 4 (1,13), the difference was statistically significant (Z=-4.040, P<0.001); the sensitivity and specificity of the general severe group were the highest, 69.2% and 86.3% respectively, and the area under ROC curve was 0.863. Conclusions CT imaging has a profound value in early prediction of deterioration in clinical type. It can help evaluate the severity of pneumonia in early stage. Range of lesions might be an important indicator for prognosis of common type COVID-19. Key words: COVID-19; Tomography, X-ray computed
CT表现对COVID-19临床类型转变的预测价值
目的探讨CT表现对新型冠状病毒临床分型转变的预测价值。方法回顾性分析2020年1月24日至2月6日收治的常见covid-19患者的临床及胸部CT资料。共纳入64例患者,男32例,女32例,年龄18 ~ 76岁,平均年龄(45±15)岁。根据患者病情是否恶化为重症,将所有病例分为普通型组(51例)和恶化型组(13例)。分析两组患者CT表现的差异,采用视觉半定量评分法评价肺炎。结果重型组较普通型组更易累及左上肺叶、右中肺叶及远离胸膜部位。两组间差异有统计学意义(χ2= 5.897, P = 0.027;χ2= 8.549, p = 0.005;χ2= 10.169, p = 0.002)。一般型组受累叶中位数为2(1,5)个,重型组受累叶中位数为5(4,5)个。两组间差异有统计学意义(Z = -3.303, P = 0.001)。以受累肺叶(n=4)为边界值,一般型诊断对重型患者的敏感性和特异性最高,分别为76.9%和74.5%,ROC曲线下面积为0.787。重症组肺炎评分10分(4,16分)高于普通组4分(1,13分),差异有统计学意义(Z=-4.040, P<0.001);一般重症组的敏感性和特异性最高,分别为69.2%和86.3%,ROC曲线下面积为0.863。结论CT对临床分型恶化的早期预测具有重要价值。它可以帮助在早期评估肺炎的严重程度。病变范围可能是判断普通型COVID-19预后的重要指标。关键词:COVID-19;x线计算机断层扫描
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Zhonghua fang she xue za zhi Chinese journal of radiology
Zhonghua fang she xue za zhi Chinese journal of radiology Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
0.30
自引率
0.00%
发文量
10639
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