Literature DB >> 32220663

The role of CT in case ascertainment and management of COVID-19 pneumonia in the UK: insights from high-incidence regions.

Felix Chua1, Darius Armstrong-James2, Sujal R Desai3, Joseph Barnett4, Vasileios Kouranos5, Onn Min Kon6, Ricardo José7, Rama Vancheeswaran8, Michael R Loebinger7, Joyce Wong9, Maria Teresa Cutino-Moguel10, Cliff Morgan11, Stephane Ledot11, Boris Lams12, Wing Ho Yip13, Leski Li14, Ying Cheong Lee14, Adrian Draper15, Sze Shyang Kho16, Elisabetta Renzoni5, Katie Ward17, Jimstan Periselneris18, Sisa Grubnic19, Marc Lipman20, Athol U Wells5, Anand Devaraj3.   

Abstract

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Year:  2020        PMID: 32220663      PMCID: PMC7104153          DOI: 10.1016/S2213-2600(20)30132-6

Source DB:  PubMed          Journal:  Lancet Respir Med        ISSN: 2213-2600            Impact factor:   30.700


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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the seventh pathogenic human coronavirus to be identified and the third with a predilection for causing potentially fatal pneumonia, after severe acute respiratory syndrome coronavirus and Middle East respiratory syndrome coronavirus. Coronavirus disease (COVID-19) infection is highly transmissible but has a relatively low death rate (1·0–3·5%), except in older people (aged >70 years) with comorbidities.1, 2 It is estimated that 15–20% of people infected develop severe pneumonia and 5–10% require critical care. COVID-19 preparedness in countries with a surge in new cases have prioritised containment, rapid diagnosis, and fastidious contact tracing. With sustained community transmission, real-time RT-PCR (rtRT-PCR) of viral nucleic acid could be supported by more versatile diagnostic tools because of concern over false-negative results and limited availability. It has been suggested that CT could play a role in COVID-19 case ascertainment. Driven by a sustained daily increase in new cases, the diagnostic criteria in China originally included CT. CT abnormalities might predate rtRT-PCR positivity in symptomatic patients and in those without symptoms who subsequently test positive by rtRT-PCR.3, 4, 5 Nevertheless, albeit in a few people, patients who test positive by rtRT-PCR but have a clear CT scan (likely to represent very early infection) have been recognised. Of 36 patients scanned within the first 2 days of symptoms, CT was healthy in half (56%), despite most (>90%) patients testing positive by rtRT-PCR. The most common CT features reported in COVID-19 pneumonia are bilateral and subpleural areas of ground-glass opacification, consolidation affecting the lower lobes, or both.3, 6, 7, 8 Foci of abnormality might be well demarcated, sometimes with a rounded configuration.3, 5, 7, 9, 10 In the intermediate phase of infection (4–14 days from symptom onset), a so-called crazy-paving pattern might be seen. Other CT findings (eg, a tree-in-bud pattern, nodules, cysts, cavitation, and large volume lymphadenopathy) are uncommon. Differences in the frequency of individual features between pneumonia caused by SARS-CoV-2 and other viruses are beginning to be studied. However, several aspects of the utility of CT in COVID-19 infection are worth noting. In one study, ground-glass opacification was evident in nearly all 15 people who were asymptomatic (but tested positive by rtRT-PCR) and had been in close contact with patients with confirmed COVID-19. The extent of pulmonary involvement, defined as affected lung segments, was less than in the symptomatic group and more frequently unilateral. Pan and colleagues, employing serial CTs, described the radiological time course of 21 patients with confirmed mild to moderate infection who survived to discharge. Peak radiological abnormalities occurred at around day 10, followed by gradual regression starting 2 weeks after symptom onset. In a separate analysis, Ai and colleagues reported radiological improvement predating rtRT-PCR becoming negative in 24 (42%) of 57 patients recovering from COVID-19 pneumonia. Two studies have specifically compared the performance of CT with rtRT-PCR. In a cohort of just over 1000 cases, CT was reported to have a diagnostic sensitivity of 97%, positive predictive value of 65%, and negative predictive value of 83%. CT was abnormal in 308 (75%) of 413 patients who initially tested negative by rtRT-PCR, but were clinically assessed as likely to have (147 [48%] patients) or probably did have (103 [33%] patients) COVID-19 pneumonia. A similar CT sensitivity of 98% (vs 71% for rtRT-PCR; p<0·001) was found in a smaller study of 51 patients, in which just under a third (15 [29%] patients) tested negative on the initial rtRT-PCR. There are few descriptions of COVID-19 pneumonia in individuals with premorbid pulmonary conditions. Shi and colleagues reported that nine (11%) of 81 patients with confirmed COVID-19 had underlying lung disease; although, the specific details are not known. The potential effect of COVID-19 pneumonia on patients with established respiratory conditions remains unclear at this time. CT is likely to become increasingly important for the diagnosis and management of COVID-19 pneumonia, given the continuing increase in global cases. The observed evolution from pneumonic injury to respiratory death in this disease suggests a pathological pathway that might be amenable to early CT detection, particularly if the patient is scanned 2 or more days after developing symptoms. Additionally, a negative CT 1 week after the onset of symptoms is reported to have a high negative predictive value for COVID-19 pneumonia. The prognostic value of CT would be further enhanced if it was able to define early radiological abnormalities or patterns that portend a poor outcome. Strict requirements for cleaning of scanning suites in between cases will, however, place considerable challenges on patient throughput. In the rapidly changing landscape of this pandemic, new data are emerging from affected regions on an almost daily basis. In this context, the British Society of Thoracic Imaging have issued guidance that underscores the importance of clinical, laboratory, and radiographic assessment in suspected COVID-19 cases, with CT reserved for patients who are critically ill and for when there is diagnostic uncertainty. Emerging data will clarify if CT also has a role to play in prognostication and disease monitoring.
  9 in total

1.  Essentials for Radiologists on COVID-19: An Update-Radiology Scientific Expert Panel.

Authors:  Jeffrey P Kanne; Brent P Little; Jonathan H Chung; Brett M Elicker; Loren H Ketai
Journal:  Radiology       Date:  2020-02-27       Impact factor: 11.105

2.  Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19).

Authors:  Feng Pan; Tianhe Ye; Peng Sun; Shan Gui; Bo Liang; Lingli Li; Dandan Zheng; Jiazheng Wang; Richard L Hesketh; Lian Yang; Chuansheng Zheng
Journal:  Radiology       Date:  2020-02-13       Impact factor: 11.105

3.  Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR.

Authors:  Yicheng Fang; Huangqi Zhang; Jicheng Xie; Minjie Lin; Lingjun Ying; Peipei Pang; Wenbin Ji
Journal:  Radiology       Date:  2020-02-19       Impact factor: 11.105

4.  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

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.  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

7.  Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study.

Authors:  Heshui Shi; Xiaoyu Han; Nanchuan Jiang; Yukun Cao; Osamah Alwalid; Jin Gu; Yanqing Fan; Chuansheng Zheng
Journal:  Lancet Infect Dis       Date:  2020-02-24       Impact factor: 25.071

8.  Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT.

Authors:  Harrison X Bai; Ben Hsieh; Zeng Xiong; Kasey Halsey; Ji Whae Choi; Thi My Linh Tran; Ian Pan; Lin-Bo Shi; Dong-Cui Wang; Ji Mei; Xiao-Long Jiang; Qiu-Hua Zeng; Thomas K Egglin; Ping-Feng Hu; Saurabh Agarwal; Fang-Fang Xie; Sha Li; Terrance Healey; Michael K Atalay; Wei-Hua Liao
Journal:  Radiology       Date:  2020-03-10       Impact factor: 11.105

9.  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

  9 in total
  38 in total

Review 1.  Opportunities and Challenges for Biosensors and Nanoscale Analytical Tools for Pandemics: COVID-19.

Authors:  Nikhil Bhalla; Yuwei Pan; Zhugen Yang; Amir Farokh Payam
Journal:  ACS Nano       Date:  2020-06-26       Impact factor: 15.881

2.  Novel Feature Selection and Voting Classifier Algorithms for COVID-19 Classification in CT Images.

Authors:  El-Sayed M El-Kenawy; Abdelhameed Ibrahim; Seyedali Mirjalili; Marwa Metwally Eid; Sherif E Hussein
Journal:  IEEE Access       Date:  2020-09-30       Impact factor: 3.367

3.  Detecting SARS-CoV-2 From Chest X-Ray Using Artificial Intelligence.

Authors:  Md Manjurul Ahsan; Md Tanvir Ahad; Farzana Akter Soma; Shuva Paul; Ananna Chowdhury; Shahana Akter Luna; Munshi Md Shafwat Yazdan; Akhlaqur Rahman; Zahed Siddique; Pedro Huebner
Journal:  IEEE Access       Date:  2021-02-23       Impact factor: 3.367

Review 4.  Artificial intelligence and radiology: Combating the COVID-19 conundrum.

Authors:  Mayur Pankhania
Journal:  Indian J Radiol Imaging       Date:  2021-01-23

5.  CT in relation to RT-PCR in diagnosing COVID-19 in The Netherlands: A prospective study.

Authors:  Hester A Gietema; Noortje Zelis; J Martijn Nobel; Lars J G Lambriks; Lieke B van Alphen; Astrid M L Oude Lashof; Joachim E Wildberger; Irene C Nelissen; Patricia M Stassen
Journal:  PLoS One       Date:  2020-07-09       Impact factor: 3.240

Review 6.  The Novel Coronavirus - Latest Findings.

Authors:  Harald Brüssow
Journal:  Microb Biotechnol       Date:  2020-05-03       Impact factor: 5.813

7.  Numerical Analysis of a Highly Sensitive Surface Plasmon Resonance Sensor for SARS-CoV-2 Detection.

Authors:  Syed Mohammad Ashab Uddin; Sayeed Shafayet Chowdhury; Ehsan Kabir
Journal:  Plasmonics       Date:  2021-05-25       Impact factor: 2.404

Review 8.  Medical imaging and computational image analysis in COVID-19 diagnosis: A review.

Authors:  Shahabedin Nabavi; Azar Ejmalian; Mohsen Ebrahimi Moghaddam; Ahmad Ali Abin; Alejandro F Frangi; Mohammad Mohammadi; Hamidreza Saligheh Rad
Journal:  Comput Biol Med       Date:  2021-06-23       Impact factor: 6.698

9.  Tomographic score (RAD-Covid Score) to assess the clinical severity of the novel coronavirus infection.

Authors:  Tatiana Figueiredo Guimarães Ribeiro; Ricardo Arroyo Rstom; Paula Nicole Vieira Pinto Barbosa; Maria Fernanda Arruda Almeida; Marina Martini Costa; Edivaldo Nery de Oliveira Filho; André Santos Barros; Talita Rombaldi Pereira; Silvio Fontana Velludo; Fabrício Próspero Machado
Journal:  Braz J Infect Dis       Date:  2021-07-14       Impact factor: 3.257

10.  Cross-sectional analysis of follow-up chest MRI and chest CT scans in patients previously affected by COVID-19.

Authors:  Martina Pecoraro; Stefano Cipollari; Livia Marchitelli; Emanuele Messina; Maurizio Del Monte; Nicola Galea; Maria Rosa Ciardi; Marco Francone; Carlo Catalano; Valeria Panebianco
Journal:  Radiol Med       Date:  2021-07-12       Impact factor: 3.469

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