Literature DB >> 32398302

The value of chest CT as a COVID-19 screening tool in children.

Peter J F M Merkus1, Willemijn M Klein2.   

Abstract

Entities:  

Mesh:

Year:  2020        PMID: 32398302      PMCID: PMC7236836          DOI: 10.1183/13993003.01241-2020

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


× No keyword cloud information.
To the Editor: It is difficult to identify children infected with coronavirus disease 2019 (COVID-19) who have little or no respiratory symptoms. For routine clinical care in different circumstances, it is relevant to assess the COVID-19 status of patients. Routine PCR is recognised as the gold standard but can be falsely negative due to sampling errors. For diagnosing and monitoring adult COVID-19 patients, characteristic radiological lesions have been recognised [1, 2] and to assess the possibility of COVID-19 infection in adults scheduled for surgery in whom a PCR test is negative or missing, a non-enhanced chest computed tomography (CT) scan has been proposed as an option in the Netherlands [3] because: 1) patients may be pre-symptomatic in the incubation period of COVID-19 infection and subsequently develop symptoms post-operatively, implying a greater risk for adverse post-operative outcomes; and 2) patients may be asymptomatic or mildly symptomatic carriers and shedders of COVID-19, and place hospital workers and other patients at risk. It is unknown whether CT scanning has additional value as a screening tool to rule out COVID-19 infections in children with little or no respiratory symptoms or with negative or missing PCR test results. It would require very convincing evidence to justify the introduction of ionising radiation to rule out COVID-19 infection in children. Therefore, we conducted a literature search to assess what is known about the sensitivity, specificity and negative predictive value of chest CT as a screening tool to rule out COVID-19 infections in children. We searched for PubMed articles in English or with English abstracts, including mesh terms COVID and CT scan and [adults or children] published up to 29 April 2020. This resulted in 92 papers that mostly focused on the use of CT scans in diagnosing and/or monitoring the disease or its severity [1, 2] rather than ruling it out. Most studies did not include subjects with negative PCR, so the true negative rate or specificity of CT scanning could not be calculated; instead, we focused on sensitivity, the ability of chest CT to recognise as many patients as possible. From several case series in PCR-proven adult COVID-19 patients with little or minor symptoms, it is clear that chest CT abnormalities may be absent in spite of mild symptoms, with a sensitivity varying between 44% [4], 69% [5] and 70% [6], depending on the study. In one observational study, sensitivity was exceptionally high (97%). In this case series of 1014 clearly symptomatic hospitalised patients from the highly endemic Wuhan (China) area, the large majority of patients had abnormal CT scans, resulting in a sensitivity of 97% but with a specificity of 25%, implying a high false-positive rate [7]. From that study it was unclear at what moment in the course of disease diagnostic tests were conducted. Chest CT in more advanced disease is associated with more abnormalities [4], and this is especially the case in selected clinical populations [8]. In those series, the positive and negative predictive values of the CT scan were 65% and 83%, respectively. In another study in a highly epidemic region, 82% of patients with mild symptoms had chest CT abnormalities [9]. Such results may only be valid in epidemic areas with high pre-test probability for this disease, and one should not assume similar sensitivity of chest CT in a general population for screening purposes [7, 8] With a prevalence of disease of ∼60% as in Wuhan, the positive and negative predictive values were 65% and 83%, respectively. However, in an area with a lower or higher prevalence the positive and negative predictive values will differ (figure 1).
FIGURE 1

Based on the Wuhan (China) data from adult patients [7], the positive predicted value (PPV) and negative predictive value (NPV) of chest CT can be calculated. This figure illustrates that PPV and NPV highly depend on the prevalence of disease in the study population. SARS-CoV-2: severe acute respiratory syndrome coronavirus 2.

Based on the Wuhan (China) data from adult patients [7], the positive predicted value (PPV) and negative predictive value (NPV) of chest CT can be calculated. This figure illustrates that PPV and NPV highly depend on the prevalence of disease in the study population. SARS-CoV-2: severe acute respiratory syndrome coronavirus 2. In summary, in a considerable percentage of adult COVID-19 patients with little or no symptoms, a chest CT may be normal. Depending on the study population, the sensitivity of a chest CT to detect abnormalities in proven COVID-19 patients ranged 44–97% (median 69%). In children, the course of the disease in general is milder than in adults. Both symptomatic and asymptomatic children with known contact with persons having confirmed or suspected COVID-19 infection (n=1391) were evaluated in a Chinese cohort [10]. COVID-19 was confirmed through PCR in 171 (12.3%) out of 1391 children. Amongst these 171, CT abnormalities consistent with (any) viral pneumonia were found in 111, implying a sensitivity of 65%. In 27 (16%) out of 171 infected children, there were no symptoms or abnormalities on CT images and in 33 (19%) infected children, only an upper respiratory tract infection was observed. Hence, in ∼35% of proven paediatric COVID-19 patients, CT images were normal. In a retrospective study on clinical data and chest CT of 15 children diagnosed with COVID-19 infection, 10 of whom were asymptomatic, six (40%) showed no lesions on chest CT [11]. In a case series of five young COVID-19-positive children, four were asymptomatic; of these, 50% had some minor abnormalities on CT scan and 50% had normal CT images [12]. Of 13 hospitalised children with mild-to-severe COVID-19, six (46%) had no abnormalities on CT scan [13]; out of 115 paediatric clinical patients infected with COVID-19, 24% had no abnormalities on CT scan [14]. In summary, in paediatric COVID-19-positive patients with little or only minor upper airway symptoms, a chest CT may be normal in 35–50% of cases. Hence, depending on the study, the reported sensitivities of CT scanning to detect abnormalities in paediatric COVID-19 patients range 50–74% (median 60%). A screening test should accurately identify diseased and non-diseased individuals. An ideal screening test is affordable, safe and patient-friendly, highly sensitive (high probability of detecting disease) and highly specific (high probability that those without the disease will screen negative) with high positive and negative predictive values. Studies in asymptomatic adults and children are scarce. In adult studies, chest CT can be normal in a considerable percentage of symptomatic COVID-19 patients. The median (range) sensitivity of finding chest CT abnormalities was 69% (44–97%) in COVID-19-proven (mildly) symptomatic adult patients. According to five paediatric studies, normal chest CT has been reported in a large percentage of children with asymptomatic or mild COVID-19 disease. The median (range) sensitivity of finding CT image abnormalities was only 60% (40–74%) in COVID-19-proven paediatric patients. This implies an unacceptable percentage of false-negative cases, creating a false sense of safety for healthcare personnel while exposing the child to potentially harmful ionising radiation, that will not contribute to a better outcome for the child. CT scanning should always be carefully considered in children due to the potential harm that ionising radiation may cause [15]. A routine chest CT for viral pneumonia in children is rarely performed, except in cases with unexplained symptoms or complications that could require a change in therapy. With the information currently available and considering the PCR as gold standard for the diagnosis COVID-19, a negative chest CT scan does not rule out COVID-19 lung disease in at least a third of the paediatric COVID-19 patients who tested positive and who have little or no respiratory symptoms. Therefore, we consider CT scanning of the chest to be unsuitable as a screening tool to rule out COVID-19 in paediatric patients with little or no symptoms. This one-page PDF can be shared freely online. Shareable PDF ERJ-01241-2020.Shareable
  12 in total

1.  A call for caution in extrapolating chest CT sensitivity for COVID-19 derived from hospital data to patients among general population.

Authors:  Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2020-03

2.  [Clinical features of children with SARS-CoV-2 infection: an analysis of 13 cases from Changsha, China].

Authors:  Xin Tan; Juan Huang; Fen Zhao; Yan Zhou; Jie-Qiong Li; Xiang-Yun Wang
Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2020-04

3.  [Clinical features of children with SARS-CoV-2 infection: an analysis of 115 cases].

Authors:  Yao-Ling Ma; Sheng-Ying Xia; Min Wang; Si-Min Zhang; Wen-Hui DU; Qiong Chen
Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2020-04

4.  [Analysis of CT features of 15 children with 2019 novel coronavirus infection].

Authors:  K Feng; Y X Yun; X F Wang; G D Yang; Y J Zheng; C M Lin; L F Wang
Journal:  Zhonghua Er Ke Za Zhi       Date:  2020-04-02

5.  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

6.  Chest computed tomography in children with COVID-19 respiratory infection.

Authors:  Wei Li; Huaqian Cui; Kunwei Li; Yijie Fang; Shaolin Li
Journal:  Pediatr Radiol       Date:  2020-03-11

7.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

8.  Radiation Exposure From Pediatric CT Scans and Subsequent Cancer Risk in the Netherlands.

Authors:  Johanna M Meulepas; Cécile M Ronckers; Anne M J B Smets; Rutger A J Nievelstein; Patrycja Gradowska; Choonsik Lee; Andreas Jahnen; Marcel van Straten; Marie-Claire Y de Wit; Bernard Zonnenberg; Willemijn M Klein; Johannes H Merks; Otto Visser; Flora E van Leeuwen; Michael Hauptmann
Journal:  J Natl Cancer Inst       Date:  2019-03-01       Impact factor: 13.506

9.  Clinical characteristics of 24 asymptomatic infections with COVID-19 screened among close contacts in Nanjing, China.

Authors:  Zhiliang Hu; Ci Song; Chuanjun Xu; Guangfu Jin; Yaling Chen; Xin Xu; Hongxia Ma; Wei Chen; Yuan Lin; Yishan Zheng; Jianming Wang; Zhibin Hu; Yongxiang Yi; Hongbing Shen
Journal:  Sci China Life Sci       Date:  2020-03-04       Impact factor: 10.372

10.  SARS-CoV-2 Infection in Children.

Authors:  Xiaoxia Lu; Liqiong Zhang; Hui Du; Jingjing Zhang; Yuan Y Li; Jingyu Qu; Wenxin Zhang; Youjie Wang; Shuangshuang Bao; Ying Li; Chuansha Wu; Hongxiu Liu; Di Liu; Jianbo Shao; Xuehua Peng; Yonghong Yang; Zhisheng Liu; Yun Xiang; Furong Zhang; Rona M Silva; Kent E Pinkerton; Kunling Shen; Han Xiao; Shunqing Xu; Gary W K Wong
Journal:  N Engl J Med       Date:  2020-03-18       Impact factor: 91.245

View more
  10 in total

Review 1.  Chest CT findings in patients with coronavirus disease 2019 (COVID-19): a comprehensive review.

Authors:  Jinkui Li; Ruifeng Yan; Yanan Zhai; Xiaolong Qi; Junqiang Lei
Journal:  Diagn Interv Radiol       Date:  2021-09       Impact factor: 3.346

Review 2.  Diagnosis and Acute Management of COVID-19 and Multisystem Inflammatory Syndrome in Children.

Authors:  Teresa B Kortz; Emilia Connolly; C Lee Cohen; Rebecca E Cook; Jennifer A Jonas; Michael S Lipnick; Niranjan Kissoon
Journal:  Pediatr Emerg Care       Date:  2021-10-01       Impact factor: 1.602

Review 3.  Imaging findings in acute pediatric coronavirus disease 2019 (COVID-19) pneumonia and multisystem inflammatory syndrome in children (MIS-C).

Authors:  Jessica Kurian; Einat Blumfield; Terry L Levin; Mark C Liszewski
Journal:  Pediatr Radiol       Date:  2022-05-26

4.  Chest computed tomography findings of COVID-19 in children younger than 1 year: a systematic review.

Authors:  Alireza Ghodsi; Moniba Bijari; Seyed Ali Alamdaran; Amin Saberi; Elnaz Mahmoudabadi; Mohammad Reza Balali; Sara Ghahremani
Journal:  World J Pediatr       Date:  2021-05-07       Impact factor: 2.764

5.  Imaging Features of Pediatric COVID-19 on Chest Radiography and Chest CT: A Retrospective, Single-Center Study.

Authors:  Zuhal Bayramoglu; Eda Canıpek; Rana G Comert; Nilufar Gasimli; Ozge Kaba; Mehpare Sarı Yanartaş; Selda Hançerli Torun; Ayper Somer; Sukru Mehmet Erturk
Journal:  Acad Radiol       Date:  2020-10-05       Impact factor: 3.173

6.  Efficacy of chest CT scan for COVID-19 diagnosis in a low prevalence and incidence region.

Authors:  Clément Thomas; Mathieu Naudin; Jean-Pierre Tasu; Charles Leclerc; Lucas Depaire; Marie Subervillle; Mathilde Vionnet; Rémy Guillevin; Guillaume Herpe
Journal:  Eur Radiol       Date:  2021-04-19       Impact factor: 5.315

Review 7.  Incidental chest computed tomography findings in asymptomatic Covid-19 patients. A multicentre Indian perspective.

Authors:  Rochita V Ramanan; Anagha R Joshi; Akash Venkataramanan; Senthur P Nambi; Rashmi Badhe
Journal:  Indian J Radiol Imaging       Date:  2021-01-23

Review 8.  COVID 19 infection: Pediatric perspectives.

Authors:  Adebayo Adeyinka; Keneisha Bailey; Louisdon Pierre; Noah Kondamudi
Journal:  J Am Coll Emerg Physicians Open       Date:  2021-01-29

9.  Chest X-ray lung imaging features in pediatric COVID-19 and comparison with viral lower respiratory infections in young children.

Authors:  Gustavo Nino; Jose Molto; Hector Aguilar; Jonathan Zember; Ramon Sanchez-Jacob; Carlos T Diez; Pooneh R Tabrizi; Bilal Mohammed; Jered Weinstock; Xilei Xuchen; Ryan Kahanowitch; Maria Arroyo; Marius G Linguraru
Journal:  Pediatr Pulmonol       Date:  2021-09-15

10.  Pediatric lung imaging features of COVID-19: A systematic review and meta-analysis.

Authors:  Gustavo Nino; Jonathan Zember; Ramon Sanchez-Jacob; Maria J Gutierrez; Karun Sharma; Marius George Linguraru
Journal:  Pediatr Pulmonol       Date:  2020-11-02
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.