Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing

By Xingzhi Xie, Zheng Zhong, Wei Zhao, Chao Zheng, Fei Wang, Jun Liu. Radiology, 2020

1,841 citations recorded by the source corpus.

Some patients with positive chest CT findings may present with negative results of real time reverse-transcription–polymerase chain- reaction (RT-PCR) for 2019 novel coronavirus (2019-nCoV). In this report, we present chest CT findings from five patients with 2019-nCoV infection who had initial negative RT-PCR results. All five patients had typical imaging findings, including ground-glass opacity (GGO) (5 patients) and/or mixed GGO and mixed consolidation (2 patients). After isolation for presumed 2019-nCoV pneumonia, all patients were eventually confirmed with 2019-nCoV infection by repeated swab tests. A combination of repeated swab tests and CT scanning may be helpful when for individuals with high clinical suspicion of nCoV infection but negative RT-PCR screening

Subfields: Infectious Diseases, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/703a732074f9b75233d2b470b5f8d2ecc72bc51a

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In Radiology, Nuclear Medicine and Imaging

1. Hayit Greenspan
2. Dinggang Shen
3. Jun Xia
4. Guang Yang
5. Qian Wang
6. Ceren Kaya
7. Ali Narin
8. Ziynet Pamuk

Citations in the corpus

• Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in Turkey (2021, methodology): “In some studies, it was noted that the RT-PCR test had limited sensitivity, but chest CT might show pulmonary abnormalities compatible with COVID-19 in patients whose RT-PCR results were negative [4, 6].”
• Artificial intelligence–enabled rapid diagnosis of patients with COVID-19 (2020, neutral): “A recent study has also shown that CT may demonstrate lung abnormalities in the setting of a negative RT–PCR test 10 .”
• Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT (2020, background): “However, recent reports have revealed that RT-PCR has a sensitivity as low as 60-71% for detecting COVID-19 (5, 7, 8), which can possibly be attributed to low viral load present in test specimens or laboratory error (7, 9).”
• Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study. (2020, methodology): “The details of the imaging interpretation were described in our previous study [21].”
• 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”
• Stability issues of RT‐PCR testing of SARS‐CoV‐2 for hospitalized patients clinically diagnosed with COVID‐19 (2020, background): “However, it was reported on February 12, 2020 that five infected patients had initial negative or weakly positive RT‐PCR results.(4) In another reported case, the third time RT‐PCR test result for pharyngeal swab specimen from an”
• Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning (2020, methodology): “In contrast with it, radiological imaging techniques are used for diagnosis of SARS-CoV-2 by coalescing with infected person ’ s clinical symptoms, travel history, and laboratory findings (Xie et al., 2020).”
• Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks (2020, neutral): “[36] , Ai et al.”
• False-negative results of initial RT-PCR assays for COVID-19: A systematic review (2020, methodology): “We included five studies in qualitative and 198 quantitative synthesis [24-28] which included 957 patients.”
• Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images (2020, background): “The disease can be confirmed by using the reversetranscription polymerase chain reaction (RT-PCR) test [4].”
• Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography (2020, methodology): “Therefore, an accurate CT-based artificial intelligence (AI) system may have the potential to assist in the early diagnosis for planning, monitoring and treatment, and establishing the reference for longitudinal follow ups (Huang et al., 2020b; Xie et al., 2020).”
• Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19 (2020, background): “Chest X-ray and CT are widely used in the screening and diagnosis of COVID-19 [6-11].”
• Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays (2020, neutral): “However, RT-PCR kits are costly and take 6-9 hours to confirm infection in the patient [7].”