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

By Yicheng Fang, Huangqi Zhang, Jicheng Xie, Minjie Lin, Lingjun Ying, P. Pang, W.-B. Ji. Radiology, 2020

3,164 citations recorded by the source corpus.

In a series of 51 patients with chest CT and real-time polymerase chain reaction assay (RT-PCR) performed within 3 days, the sensitivity of CT for 2019 novel coronavirus infection was 98% and that ...

Subfields: Infectious Diseases, Oncology, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/f59b745c7e099952e8ba409bffa6cd4ed2ae20fc

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In Infectious Diseases

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Citations in the corpus

Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review (2020, methodology): “In COVID-19 diagnosis, real-time reverse transcription polymerase chain reaction (RT-PCR) of viral nucleic acid is regarded as the reference standard; however, recent studies addressed the importance of chest computed tomography (CT) examination in COVID-19 patients with false negative RT-PCR result”
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).”
Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT (2020, methodology): “RT-PCR is considered as the reference standard; however, it has been reported that chest CT could be used as a reliable and rapid approach for screening of COVID-19 (5,6).”
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images (2020, background): “While radiography examination can be conducted faster and have greater availability given the prevalence of chest radiology imaging systems in modern healthcare systems, making them a good complement to PCR testing (in some cases, even exhibiting higher sensitivity [4]), one of the biggest bottlenec”
The epidemiology, diagnosis and treatment of COVID-19 (2020, background): “In a series of 51 patients with confirmed COVID-19 infection, 71% patients were RT-PCR positive at the first time of testing of throat swab or sputum samples [26] .”
COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection (2020, background): “[6] reported the high sensitivity (up to 98%) of chest CT for COVID-19 screening in a series of 51 patients.”
Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique (2020, neutral): “…diagnosis of COVID-19 disease, the sensitivity of chest CT is higher than RT-PCR, therefore, it is recommended to use chest CT for COVID-19 screening in patients with epidemiologic and clinical features compatible with COVID-19 infection, especially when the RT-PCR test is negative [ 19, 24, 25 ].”
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images (2020, background): “Researchers found that the lungs of patients with COVID-19 symptoms have some visual marks like ground-glass opacities—hazy darkened spots that can differentiate COVID-19 infected patients from non COVID-19 infected ones [8 , 9] .”
Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks (2020, methodology): “…tomography (CT) of the thorax is a tool frequently used to assess patients with fever and / or respiratory symptoms, and it has been used during this pandemic to triage suspected COVID-19 patients for further testing or hospital admission and to detect treatment response or complications [2, 3].”
Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays (2020, positive): “As stated in [18,19] COVID-19 is possibly better diagnosed us-ing radiological imaging, for this reason, in this paper, we evaluate the possibility to detect the COVID-19 disease directly from medical images; X-Rays have been used.”
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets (2020, methodology): “Our statistical analysis of the intensity distribution clearly showed that the globally distributed localized intensity variation is a discriminatory factor for COVID-19 CXR images, which was also conﬁrmed with our saliency map.”
Mapping the Landscape of Artificial Intelligence Applications against COVID-19 (2020, background): “This is notably due to the fact that COVID-19 exhibits particular radiological signatures and image patterns which can be observed in medical imagery [55, 57] , but the identification of these patterns remains time-consuming even for expert radiologists.”
Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in Turkey (2021, background): “Some studies have shown that chest CT has a higher sensitivity than RT-PCR in detecting patients infected with COVID-19 [12].”