Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?

By Chun-qin Long, Huaxiang Xu, Qinglin Shen, Xiang-jie Zhang, Bing Fan, Chuanhong Wang, Bingliang Zeng, Zicong Li, Xiaofen Li, Honglu Li. European Journal of Radiology, 2020

891 citations recorded by the source corpus.

Highlights • The COVID-19 outbreak highlights the need for early diagnosis, isolation and treatment• The sensitivity of the CT was 97.2%, while the sensitivity of initial rRT-PCR was 83.3%.• Patients with typical CT findings but negative rRT-PCR results should be isolated.

Subfields: Infectious Diseases, Neurology

View Paper: https://www.semanticscholar.org/paper/949421153b0c4ff9e3388a34d91ba94c2004e70e

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In Neurology

1. Usha R. Acharya
2. Ming-Ming Cheng
3. B. van Ginneken

Citations in the corpus

• CO-RADS – A categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation (2020, background): “Cases are increasingly reported in which the assay yielded a positive result only after multiple negative ones in patients with typical clinical and imaging signs of COVID-19 (6,7).”
• JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation (2020, background): “Such a combination allows maximally to identify potentially infected people, as it can identify COVID-19 patients in the early-stage with high sensitivity [3], [4], [25].”
• Clinical and epidemiological characteristics of 1420 European patients with mild‐to‐moderate coronavirus disease 2019 (2020, background): “Olfactory and gustatory disorders could be related to the SARS-CoV-2 neuroinvasive potential [20], which may be more prevalent in European patients due to higher ACE2 expression in nasal mucosa [21].”
• Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays (2020, neutral): “The test can be performed on sputum or blood samples [14,15] : results are generally available within a few hours or, at most, days [16,17] .”
• Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test (2020, background): “3,5,6 These include limited sensitivity, 5,7 a long turnaround time of up to 72 h, and requirements for specialist laboratory infrastructure and expertise.”
• Automated detection of COVID-19 cases using deep neural networks with X-ray images (2020, background): “At the beginning of the pandemic, Chinese clinical centers had insufficient test kits, which are also producing a high rate of false-negative results, so doctors are encouraged to make a diagnosis only based on clinical and chest CT results [12,14].”