Literature DB >> 32377812

CT and COVID-19: Chinese experience and recommendations concerning detection, staging and follow-up.

Li Fan1, ShiYuan Liu2.   

Abstract

Entities:  

Year:  2020        PMID: 32377812      PMCID: PMC7202679          DOI: 10.1007/s00330-020-06898-3

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


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The outbreak of COVID-19 that started late December 2019, has spread to 184 countries on March 21, 2020, with 267,013 confirmed cases and 11,201 deaths according to the WHO reports [1]. China has accumulated huge clinical experience and reported about epidemiological, clinical, laboratory, and imaging features [2-6]. The National Health Commission of the People’s Republic of China has published the 7th trial version of diagnosis and treatment of COVID-19 proposal [7]. Several suggestions and key points have been summarized in order to share this experience and maybe help teams that are now confronted with the outbreak worldwide.

Should CT be performed for the initial diagnosis?

The gold standard for diagnosis is RT-PCR. However, a high false negative rate has been reported [2], which would affect the timely management of suspected cases like isolation and medical treatment, further increasing the risk of persistent transmission. CT plays a major role in detecting pneumonia. The presence of viral pneumonia is one of the most important diagnostic criteria for the suspected cases. It has been reported that CT has high accuracy in reference to the RT-PCR [8], keeping in mind that the imaging features of COVID-19 pneumonia are non-specific, sometimes overlapping with other viral pneumonia [9-11]. If the patient has the epidemiological history, clinical features, and viral pneumonia features, he/she should be considered probably positive for COVID-19 infection, despite negative or even second RT-PCR. Such patients should receive follow-up CT to evaluate the changes of pneumonia, and RT-PCT can be re-tested for three, four, or even five times [8, 12]. Meanwhile, isolation needs to be applied to reduce the risk of transmission. In the fifth version of diagnosis and treatment of COVID-19 issued by the National Health Commission of the People’s Republic of China [13], CT was considered a major modality for diagnosis, even before receiving the RT-PCR tests. Those clinically diagnosed case should be isolated and receive medical treatment. This should be considered with much attention by other countries if a huge population is waiting for the RT-PCR test, due to the lack of kits, delay waiting for the results, as well as false negative cases. CT can be considered a useful test for relieving quickly difficult situations.

What is the balance between CT and RT-PCR?

How to balance the role of CT and RT-PCR, depending on the local prevention and control policy

If the hospital has the possibility of performing RT-PCR, it should be performed more than twice if negative for patients with pneumonia on CT. According to the current guidelines, the suspected case would be excluded with the negative RT-PCR results twice within the interval of more than 24 h. However, several reports showed the positive results occurred until the third, even the fifth, test [8, 12]. Moreover, the mean interval time between the initial negative to positive RT-PCR results was 5.1 ± 1.5 days; therefore, the 24 h between the first two RT-PCT should be reconsidered. CT findings are not always consistent with RT-PCR, which is not surprising as CT and RT-PCR do not explore the same issues. Some patients with positive RT-PCR had normal CT [2, 6], but may later develop pneumonia, while others would not [6]. Some patients with negative RT-PCR results had marked viral pneumonia features on CT; some RT-PCR results would become positive after repeated tests with about a mean interval of 5 days [8]. In the largest cohort of 1014 cases from Wuhan, China, the sensitivity of chest CT imaging for COVID-19 was 97% (580/601) with RT-PCR as a reference [8]. In patients with negative RT-PCR results but positive chest CT scans (n = 308 patients), 48% (147/308) of patients were re-considered as highly likely cases, with 33% (103/308) as probable cases by a comprehensive evaluation. The role of CT in this study was overestimated due to lack of the etiology and the prognosis analysis for those highly likely and probable cases.

CT grading vs clinical outcome

According to the 6th version proposal issued by China, COVID-19 is classified into four stages: mild, moderate, severe, and critical stages based on the severity of it. The mild stage shows absence of pneumonia. However, the presence and severity of pneumonia is not consistent with clinical stages. Clinically severe cases without pneumonia are observed in 5.2% [2]. In addition, clinical symptoms are not parallel to CT findings, as asymptomatic patients may have typical viral pneumonia features and positive RT-PCR [14]. These patients are obviously sources of contamination. Some cases with clinical improvement and turning negative RT-PCR still show pneumonia persistence, and even occurrence of new lesions [8]. Therefore, we need more investigation of the relationship between CT grading and clinical outcome. We expect CT grading to help evaluate severity and prognosis. Several CT grading or staging systems have been proposed [4, 15], based on the empirical descriptive system, just like in the case of lobar pneumonia, or based on the days of clinical symptom onset. The ideal CT grading and/or staging system should be based on pathological change, clinical symptoms, and imaging manifestation. The quantitative evaluation of pneumonia is required by the 7th version proposal [7], as the increase of 50% pneumonia within 24–48 h is classified as a severe case; and the absorption and dissipation of pneumonia is also quantified during the follow-up scanning. Lobar-based quantitative analysis and scoring with qualitative analysis has been reported [16], but its relationship with different clinical stages and prognosis has not been evaluated.

Should we perform follow-up CT during the acute phase and what are the recommended interval and doses?

Rapid progression is one of the main characteristics of COVID-19. Imaging is the best modality to evaluate its progression. Chest radiography, especially bed side, is recommended for monitoring the very severe and critical cases. Conversely, CT is recommended for screening and follow-up of pneumonia due to high resolution. A dozen of studies showed different follow-up intervals from days 1 until 14, and displayed the rapid changes of imaging features, with progression into ARDS or resolution. Reported CT protocol included normal dose or low dose. For initial CT scanning, normal dose CT is recommended, because early imaging change is of small patchy ground glass opacity (GGO), which could be missed on low-dose CT. Conversely, low-dose CT is recommended for the follow-up considering the accumulation dose within a short term. The Chinese expert consensus recommends an interval of 3–5 days when initial CT was normal, and 5–7 days in case of pneumonia on the initial CT [15]. A shorter interval is recommended in case of normal initial CT, in order to evaluate the presence of pneumonia due to its rapid change. The interval of imaging follow-up depends on the severity, also guided by the idea of dose reduction.

Which imaging after discharge?

The discharge and/or remove isolation criteria in China [7] include normal body temperature at least 3 days, improvement of respiratory symptoms, improvement of the acute exudative imaging findings, and negative RT-PCR results twice with the interval of more than 24 h. The imaging findings are subjectively appreciated, affecting reliability. Another question is the RT-PCR interval: 24 h may be too short and the high false negative rate should be considered as well. Recently, several cases which were previously discharged came up with positive RT-PCR again [17], indicating the necessity to reconsider the discharge criteria. Due to CT with high sensitivity, follow-up CT is recommended to evaluate the improvement or recurrence on the first week of discharge, timely helping the management. With the epidemic outbreak worldwide, more and more issues should be further evaluated, transforming the initially descriptive evaluation into systematic research. Quantitative imaging and big data combining the epidemiological, clinical, laboratory, and imaging features would be essential for improving diagnostic criteria, therapeutic evaluation, and prediction of outcome. Sharing clinical experience and data is imperative and would be a positive consequence of this dramatic outbreak.
  10 in total

1.  Positive RT-PCR Test Results in Patients Recovered From COVID-19.

Authors:  Lan Lan; Dan Xu; Guangming Ye; Chen Xia; Shaokang Wang; Yirong Li; Haibo Xu
Journal:  JAMA       Date:  2020-04-21       Impact factor: 56.272

2.  Presumed Asymptomatic Carrier Transmission of COVID-19.

Authors:  Yan Bai; Lingsheng Yao; Tao Wei; Fei Tian; Dong-Yan Jin; Lijuan Chen; Meiyun Wang
Journal:  JAMA       Date:  2020-04-14       Impact factor: 56.272

3.  Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection.

Authors:  Adam Bernheim; Xueyan Mei; Mingqian Huang; Yang Yang; Zahi A Fayad; Ning Zhang; Kaiyue Diao; Bin Lin; Xiqi Zhu; Kunwei Li; Shaolin Li; Hong Shan; Adam Jacobi; Michael Chung
Journal:  Radiology       Date:  2020-02-20       Impact factor: 11.105

4.  Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.

Authors:  Tao Ai; Zhenlu Yang; Hongyan Hou; Chenao Zhan; Chong Chen; Wenzhi Lv; Qian Tao; Ziyong Sun; Liming Xia
Journal:  Radiology       Date:  2020-02-26       Impact factor: 11.105

5.  CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV).

Authors:  Michael Chung; Adam Bernheim; Xueyan Mei; Ning Zhang; Mingqian Huang; Xianjun Zeng; Jiufa Cui; Wenjian Xu; Yang Yang; Zahi A Fayad; Adam Jacobi; Kunwei Li; Shaolin Li; Hong Shan
Journal:  Radiology       Date:  2020-02-04       Impact factor: 11.105

6.  Evolution of CT Manifestations in a Patient Recovered from 2019 Novel Coronavirus (2019-nCoV) Pneumonia in Wuhan, China.

Authors:  Heshui Shi; Xiaoyu Han; Chuansheng Zheng
Journal:  Radiology       Date:  2020-02-07       Impact factor: 11.105

7.  Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study.

Authors:  Nanshan Chen; Min Zhou; Xuan Dong; Jieming Qu; Fengyun Gong; Yang Han; Yang Qiu; Jingli Wang; Ying Liu; Yuan Wei; Jia'an Xia; Ting Yu; Xinxin Zhang; Li Zhang
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

8.  A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia (standard version).

Authors:  Ying-Hui Jin; Lin Cai; Zhen-Shun Cheng; Hong Cheng; Tong Deng; Yi-Pin Fan; Cheng Fang; Di Huang; Lu-Qi Huang; Qiao Huang; Yong Han; Bo Hu; Fen Hu; Bing-Hui Li; Yi-Rong Li; Ke Liang; Li-Kai Lin; Li-Sha Luo; Jing Ma; Lin-Lu Ma; Zhi-Yong Peng; Yun-Bao Pan; Zhen-Yu Pan; Xue-Qun Ren; Hui-Min Sun; Ying Wang; Yun-Yun Wang; Hong Weng; Chao-Jie Wei; Dong-Fang Wu; Jian Xia; Yong Xiong; Hai-Bo Xu; Xiao-Mei Yao; Yu-Feng Yuan; Tai-Sheng Ye; Xiao-Chun Zhang; Ying-Wen Zhang; Yin-Gao Zhang; Hua-Min Zhang; Yan Zhao; Ming-Juan Zhao; Hao Zi; Xian-Tao Zeng; Yong-Yan Wang; Xing-Huan Wang
Journal:  Mil Med Res       Date:  2020-02-06

9.  A Novel Coronavirus from Patients with Pneumonia in China, 2019.

Authors:  Na Zhu; Dingyu Zhang; Wenling Wang; Xingwang Li; Bo Yang; Jingdong Song; Xiang Zhao; Baoying Huang; Weifeng Shi; Roujian Lu; Peihua Niu; Faxian Zhan; Xuejun Ma; Dayan Wang; Wenbo Xu; Guizhen Wu; George F Gao; Wenjie Tan
Journal:  N Engl J Med       Date:  2020-01-24       Impact factor: 91.245

10.  Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing.

Authors:  Xingzhi Xie; Zheng Zhong; Wei Zhao; Chao Zheng; Fei Wang; Jun Liu
Journal:  Radiology       Date:  2020-02-12       Impact factor: 11.105

  10 in total
  11 in total

1.  Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation.

Authors:  Jing Han; Tong Xia; Ting Dang; Dimitris Spathis; Erika Bondareva; Chloë Siegele-Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; R Andres Floto; Pietro Cicuta; Cecilia Mascolo
Journal:  J Med Internet Res       Date:  2022-06-21       Impact factor: 7.076

2.  Radiation dose levels in chest computed tomography scans of coronavirus disease 2019 pneumonia: A survey of 2119 patients in Chongqing, southwest China.

Authors:  Yang Zhou; Yineng Zheng; Yun Wen; Xin Dai; Wengang Liu; Qihui Gong; Chaoqiong Huang; Fajin Lv; Jiahui Wu
Journal:  Medicine (Baltimore)       Date:  2021-08-06       Impact factor: 1.817

3.  Was non-utilisation of computed tomography as a public health tool a costly lapse in closing the pandemic?

Authors:  Anirudh Kohli
Journal:  Indian J Radiol Imaging       Date:  2021-01-23

Review 4.  Breast Cancer Management Guidelines During COVID-19 Pandemic.

Authors:  Kirti Katherine Kabeer; Sadaf Jafferbhoy; Sekhar Marla; Soni Soumian; Vivek Misra; Sankaran Narayanan; Adrian Murray Brunt
Journal:  Indian J Surg       Date:  2020-07-02       Impact factor: 0.437

5.  Does CT help in reducing RT-PCR false negative rate for COVID-19?

Authors:  Anirudh Kohli; Anagha Joshi; Ankur Shah; Richa D Jain; Abhishek Gorlawar; Amol Dhapare; Jigar Desai; Aditya Shetty; Chirag Shah; Prachi Ostwal; Anisha Talraja
Journal:  Indian J Radiol Imaging       Date:  2021-01-23

Review 6.  A comprehensive review of imaging findings in COVID-19 - status in early 2021.

Authors:  Ali Afshar-Oromieh; Helmut Prosch; Cornelia Schaefer-Prokop; Karl Peter Bohn; Ian Alberts; Clemens Mingels; Majda Thurnher; Paul Cumming; Kuangyu Shi; Alan Peters; Silvana Geleff; Xiaoli Lan; Feng Wang; Adrian Huber; Christoph Gräni; Johannes T Heverhagen; Axel Rominger; Matthias Fontanellaz; Heiko Schöder; Andreas Christe; Stavroula Mougiakakou; Lukas Ebner
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-05-01       Impact factor: 9.236

7.  Sounds of COVID-19: exploring realistic performance of audio-based digital testing.

Authors:  Jing Han; Tong Xia; Erika Bondareva; Chloë Brown; Jagmohan Chauhan; Ting Dang; Andreas Grammenos; Apinan Hasthanasombat; Dimitris Spathis; Andres Floto; Pietro Cicuta; Cecilia Mascolo
Journal:  NPJ Digit Med       Date:  2022-01-28

Review 8.  Lessons learned in transitioning to AI in the medical imaging of COVID-19.

Authors:  Issam El Naqa; Hui Li; Jordan Fuhrman; Qiyuan Hu; Naveena Gorre; Weijie Chen; Maryellen L Giger
Journal:  J Med Imaging (Bellingham)       Date:  2021-10-01

9.  Systematic review with meta-analysis of the accuracy of diagnostic tests for COVID-19.

Authors:  Beatriz Böger; Mariana M Fachi; Raquel O Vilhena; Alexandre F Cobre; Fernanda S Tonin; Roberto Pontarolo
Journal:  Am J Infect Control       Date:  2020-07-10       Impact factor: 2.918

10.  Response of a Radiology Department to the SARS-CoV-2 Pandemic: The Experience of the Hospital "Policlinico Tor Vergata" in Rome.

Authors:  Andrea Malizia; Laura Filograna; Francesco Paolo Sbordone; Giorgio Ciccarese; Andrea Carbone; Beatrice Carreri; Colleen Patricia Ryan; Gian Marco Ludovici; Andrea Chierici; Guglielmo Manenti
Journal:  Int J Environ Res Public Health       Date:  2021-05-14       Impact factor: 3.390

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