Abstract
Objectives
To evaluate the imaging features of routine admission chest X-ray in patients referred for novel Coronavirus 2019 infection.
Methods
All patients referred to the emergency departments, RT-PCR positive for SARS-CoV-2 infection were evaluated. Demographic and clinical data were recorded. Two radiologists (8 and 15 years of experience) reviewed all the X-ray images and evaluated the following findings: interstitial opacities, alveolar opacities (AO), AO associated with consolidation, consolidation and/or pleural effusion. We stratified patients in groups according to the time interval between symptoms onset (cut-off 5 days) and X-ray imaging and according to age (cut-off 60 years old). Computed tomography was performed in case of a discrepancy between clinical symptoms, laboratory and X-ray findings, and/or suspicion of complications.
Results
A total of 468 patients were tested positive for SARS-CoV-2. Lung lesions primarily manifested as interstitial opacities (71.7%) and AO opacities (60.5%), more frequently bilateral (64.5%) and with a peripheral predominance (62.5%). Patients admitted to the emergency radiology department after 5 days from symptoms onset, more frequently had interstitial and AO opacities, in comparison to those admitted within 5 days, and lung lesions were more frequently bilateral and peripheral. Older patients more frequently presented interstitial and AO opacities in comparison to younger ones. Sixty-eight patients underwent CT that principally showed the presence of ground-glass opacities and consolidations.
Conclusions
The most common X-ray pattern is multifocal and peripheral, associated with interstitial and alveolar opacities. Chest X-ray, compared to CT, can be considered a reliable diagnostic tool, especially in the Emergency setting.
Keywords: Infections, Coronavirus, Radiography, Tomography, X-ray computed
Abbreviations
- AO
Alveolar Opacities
- ARDS
Acute Respiratory Distress Syndrome
- CRP
C-Reactive Protein
- CT
Computed Tomography
- GGO
Ground-Glass Opacities
- MERS
Middle East Respiratory Syndrome
- NPV
Negative Predictive Value
- PACS
Picture Archiving and Communication System
- PLT
Platelets
- PPV
Positive Predictive Value
- RT-PCR
Reverse Transcriptase-Polymerase Chain Reaction
- SARS-CoV-2
Severe Acute Respiratory Syndrome-Coronavirus-2
- WBC
White Blood Cell
- WHO
World Health Organization
1. Introduction
On March 11th, 2020, the World Health Organization (WHO) declared the ongoing outbreak of nCoV-2019 as a pandemic public health emergency. As of April 5th, 2020, more than 1.200.000 confirmed SARS-CoV-2 cases have been reported globally. Of these, more than 124.000 were from Italy.
The SARS-CoV-2 can manifest principally as severe pneumonia, Acute Respiratory Distress Syndrome (ARDS), and Multiple-Organ Failure (MOF), which can lead to death. The SARS-CoV-2 can be transmitted from human to human through respiratory droplets, contact, and even fecal-oral transmission [1,2].
Imaging plays an important role in the diagnosis and management of SARS-CoV-2, in particular in the case of pneumonia. Computed Tomography (CT) is considered the first-line imaging modality in highly suspected cases and helps to monitor pathological changes during treatment. Typical CT feature is the bilateral distribution of ground-glass opacities (GGOs) with or without consolidation in posterior and peripheral areas of lungs, as the cardinal hallmark of SARS-CoV-2 [[3], [4], [5]].
On the other hand, the routine chest X-ray is the most widely available radiological procedure during hospital admissions, in particular, to complete differential diagnosis of respiratory symptoms, such as cough and dyspnea. The chest radiograph can establish the presence of pneumonia, define its extension and location, and can also diagnose complications. However limited information exists regarding chest X-ray imaging findings of SARS-CoV-2 lung infection [6].
Overall, due to the increasing number of reported cases of SARS-CoV-2 infection, radiologists encounter more frequently patients in the emergency setting. The goal for the radiological emergency department is to quickly undertake the diagnosis and the evaluation of patients with suspected SARS-CoV-2 and provide frontline diagnosis and confirmation of the disease. A chest X-ray may help in early detection of lung abnormalities for screening outpatients with highly suspected disease, especially in patients with an initial negative RT-PCR screening result.
The objective of our study is to describe and characterize the key findings on chest X-ray in RT-PCR SARS-CoV-2 positive patients from Lombardy, a North Region of Italy, to further help clinicians in the initial screening of patients and to familiarize the radiologists and clinical teams with the imaging manifestations of this new outbreak.
2. Materials and method
Our Institutional Review Board waived the requirement to obtain written informed consent for this retrospective case series, which evaluated de-identified data and involved no potential risk to patients, and due to the emergency condition. Moreover, no link between the patients and the researchers were made available.
2.1. Patients population
From March 1st, 2020, until March 24th, 2020, a total of 468 patients with consecutively laboratory-confirmed SARS-CoV-2 admitted at to two different emergency department (n = 283; 60.5% from Center 1, and n = 185; 39.5% from Center 2) were enrolled.
The diagnosis of SARS-CoV-2 was determined with at least two positive results of the RT-PCR assay.
For each patient, the following demographic, clinical and imaging data were recorder: 1) fever, 2) cough, 3) white blood cell count, 4) red blood cell count, 5) neutrophil count, 6) lymphocyte count, 7) platelets count, 8) C-reactive protein (CRP) leveland 9) onset of symptoms.
2.2. X-ray images
All X-ray examinations were acquired as computed or digital radiographs following usual local protocols. A standard chest X-ray was performed in anteroposterior projection only, obtained in patients at the bedside, using portable X-ray units in the isolation wards.
Images were assessed for the presence and distribution of parenchymal abnormalities including 1) alveolar opacities (AO), which were defined as a hazy increase in lung attenuation with no obscuration of the underlying vessels; 2) interstitial opacities or thickening (e.g. septal thickening or reticulation); 3) alveolar opacities associated with consolidation, which was defined as an area of opacification obscuring the underlying vessels; 4) consolidations and 5) pleural effusions.
The locations of the lesions were specified as superior, middle, and inferior, dividing the lung parenchyma into three portions. The lesions were defined as isolated when focal lesions involved only one portion, multiple when multiple areas were involved, and unilateral or bilateral.
2.3. CT images
In case of discrepancy between clinical symptoms/laboratory findings and X-ray images, and/or suspicious of complications, Computed Tomography (CT) examination was performed.
Computed tomography images were acquired using a multi-detector 256-slice scanner (iCT elite, Philips Healthcare, Eindhoven, the Netherlands) in supine patients at full inspiration and with or without contrast medium according to the clinical issue. The parameters for CT acquisition were: rotation time 0.27 ms, tube voltage 80–100 kV, automated tube-current modulation (50–70 mAs), slice thickness 0.8 mm, increment 0.4 mm, and a sharp reconstruction kernel.
To compare X-ray abnormalities with CT appearance, the following pathological features were recorded: 1) ground-glass opacities (GGOs) defined as an area of hazy increased lung opacity, 2) “reverse halo sign” defined as a focal area of ground-glass opacity surrounded by a ring of consolidation, 3) consolidation, defined as an area of homogeneous increased of pulmonary parenchyma attenuation that obscure vessels, 4) “crazy paving” pattern, defined as thickened inter and intralobular septa on a background of ground-glass opacity, 5) “tree-in-bud” pattern, that represents centrilobular branching structures often due to small airways inflammation, 6) pleural effusion.
2.4. Images analysis
Two radiologists (8 and 15 years of experience), blindly and independently, reviewed both chest X-rays and chest CT images in picture archiving and communication systems (PACS, Enterprise Imaging, AGFA Healthcare, Belgium).
2.5. Statistical analysis
Continuous variables are expressed as mean and standard deviation (SD), after assessing for normal distribution using the Kolmogorov-Smirnov test and compared using t-Student test. Categorical variables are expressed as number and percentage. A p-value < 0.05 was considered statistically significant. All the statistical analyses were performed using SPSS 21.0 statistical package (SPSS Incorporated, Chicago, Illinois, USA).
3. Results
3.1. Demographic, clinical and laboratory data of the entire cohort
A total of 468 patients were RT-PCR positive for SARS-CoV-2. The majority of patients were male (328 male, 140 female) with a mean age of 64.7 ± 14.2 years old. The majority of patients were admitted to the emergency department due to flu and respiratory symptoms (n = 458; 97.9%), while the remaining 10 were admitted for other medical illnesses (ischemic stroke and syncope). Most of them accessed the emergency department more than five days after the onset of clinical manifestations (n = 256; 57.7%). The main symptom was fever (n = 424; 90.6%), followed by cough (n = 270; 57.7%) and dyspnea (n = 266; 56.8%). Only 60 patients (12.8%) had gastrointestinal symptoms. A small proportion of patients had just one symptom at the time of diagnosis (n = 87; 18.6%). The laboratory test revealed lymphopenia and high CRP values. The other laboratory findings along with clinical and demographic characteristic are summarized in Table 1 .
Table 1.
All (468) | |
---|---|
Age (yo ± SD) | 64.7 ± 14.2 |
Sex male (n; %) | 328 (70.1) |
Symptoms (n; %) | |
Fever | 424 (90.6) |
Cough | 270 (57.7) |
Dyspnea | 266 (56.8) |
Gastrointestinal | 60 (12.8) |
Labs | |
WBC (x 103/mm3± SD) | 7.1 ± 4.2 |
Neutrophils (x 103/mm3± SD) | 5.6 ± 6.0 |
Lymphocytes (x 103/mm3± SD) | 1.4 ± 2.8 |
PLT (x 103/mm3± SD) | 192.1 ± 74.6 |
PCR (mg/l ± SD) | 41.4 ± 65.4 |
3.2. X-ray features
Lung lesions primarily manifested as interstitial opacities (n = 335; 71.7%) (Fig. 1 ) and alveolar opacities (n = 279; 60.5%) (Fig. 2 ). In a non-negligible proportion of patients, a parenchymal consolidation was observed (n = 245; 52.5%), the majority of them along with alveolar opacities (n = 196; 80%) (Fig. 3 ). Interstitial and alveolar opacities more often involved both lungs (n = 301; 64.5%) with a peripheral predominance (n = 292; 62.5%). The medium and inferior portions of the lung were the main site of lung lesions distribution (n = 290; 62.1% and n = 335; 71.7%). In more than half of cases interstitial and alveolar opacities were located in more than one lung portion (n = 255; 54.5%) (Fig. 3). Only 57 (12.2%) patients had pleural effusion.
Patients admitted to the emergency department after 5 days from symptoms onset, more frequently had interstitial and alveolar opacities, in comparison to those admitted within 5 days (n = 199; 63% vs n = 117; 37.0%, p < 0.0001 and n = 169; 63.1% vs n = 99; 36.9%, p = 0.013), and lung lesions were more frequently bilateral, peripheral, and in more than one portion. After 5 days from symptoms onset, pleural effusion was seen more frequently (n = 45; 78,9% vs n = 12; 21,1%, p < 0.0001) (Table 2 ).
Table 2.
Symptoms onest >5 days |
Symptoms onest <5 days |
p-value | Age >60 years (n = 281) | Age < 60 years (n = 187) | p-value | |
---|---|---|---|---|---|---|
Interstitial pattern (n; %) | 199 (63.0) | 117 (37.0) | < 0.0001 | 215 (64.2) | 120 (35.8) | 0.006 |
Alveolar opacities (n; %) | 169 (63.1) | 99 (36.9) | 0.013 | 183 (65.6) | 96 (34.4) | 0.005 |
Consolidations (n; %) | 135 (57.9) | 98 (42.1) | 0.924 | 171 (69.8) | 74 (30.2) | < 0.0001 |
Distribution (n; %) | ||||||
Bilateral | 184 (64.6) | 101 (35.4) | < 0.0001 | 200 (66.4) | 101 (33.6) | < 0.0001 |
Subpleural | 182 (65.0) | 98 (35.0) | < 0.0001 | 187 (64.0) | 105 (36.0) | 0.032 |
>1 lung portion | 153 (63.7) | 87 (36.3) | 0.005 | 173 (67.8) | 82 (32.2) | < 0.0001 |
Pleural effusion (n; %) | 45 (78.9) | 12 (21.1) | < 0.0001 | 44 (77.1) | 13 (22.9) | < 0.0001 |
Older patients (>60 years) more frequently presented interstitial and alveolar opacities in comparison to younger ones (n = 215; 64.2% vs n = 120; 35.8%, p = 0.006 and n = 183; 65.6% vs n = 96; 34.4%, p = 0.005 respectively) which again were more often bilateral, peripheral located, and distributed in more than one lung portion. In older patients pleural effusion was seen more frequently (n = 44; 77,1% vs n = 13; 22,9%, p < 0.0001) (Table 2).
3.3. Comparison between X-ray and CT features
A total of 68 patients underwent a CT scan, with a mean time from X-ray of 2.3 (±2.7) days.
In 61 (89.7%) patients, chest X-rays showed abnormal features, alone or combined. CT scan confirmed the presence of lung alterations, mainly ground-glass opacities (n = 57; 93.4%) and consolidation (n = 55; 90.2%) (Fig. 4 ). Twenty patients had a crazy-paving pattern (32.8%) and only 2 (3.3%) and 1 (1.6%) cases a “tree-in-bud” pattern and a “reverse halo sign” pattern, respectively. The presence of pleural effusion was found in 18 (29.5%) cases (Table 3 ).
Table 3.
All (n = 68) | Patients with negative X ray (n = 7) | |
---|---|---|
Ground glass opacities (n; %) | 57 (93.4) | 5 (7.1) |
Consolidations (n; %) | 55 (90.2) | 5 (7.1) |
Crazy paving pattern (n; %) | 20 (32.8) | – |
Tree in bud (n; %) | 2 (3.3) | – |
Reverse halo sign (n;%) | 1 (1.6) | – |
Pleural effusion (n; %) | 18 (29.5) | – |
In those patients in whom chest X-ray was negative (n = 7; 10.3%) the CT scan revealed the presence of ground-glass opacities and consolidations (Fig. 5 ), alone or combined, with a bilateral and multifocal distribution in all cases. None of the patients with a negative chest X-ray had pleural effusion at CT scan.
4. Discussion
Viruses are a common cause of respiratory infection and the early detection and efficient control of the route of transmission (e.g. isolation of suspected cases, disinfection) is still the most effective way to fight the SARS-CoV-2 outbreak. To date, the spread of SARS-CoV-2, according to WHO, is considered nowadays pandemic, having affected more than 100 countries all over the World [1]. In this setting, Italy is considered one of the most affected countries with more than one thousand positive cases.
According to WHO guidelines, diagnostic testing for SARS-CoV-2 is fundamental, in particular, to avoid transmission, track the epidemiology, and, finally, manage patients correctly. On the other hand, due to the large number of cases suspected for SARS-CoV-2 infection, laboratory detection is time-consuming and may not be quickly available for all people with suspected infection, with a time interval between 2 hours and 2 days. However, the main advantage of using RT-PCR assay is linked to its intrinsic high diagnostic accuracy, as previously demonstrated for influenza A, with high specificity and low sensitivity [7].
Therefore we assumed that chest X-ray can achieve the potential role of a screening test in medical settings with high disease prevalence but limited resources. In fact, in the emergency setting, the chest X-ray is a key component of the diagnostic work-up for patients with suspected infection. This paper investigates chest X-ray findings in SARS-CoV-2 patients, to increase confidence with common imaging manifestations of the disease.
We evaluated and analyzed the radiographic characteristics of 468 patients with SARS-CoV-2 pneumonia from the Emergency Radiology Unit of two tertiary and regional hospitals in Lombardy.
In our study SARS-CoV-2 primarily manifested as interstitial and alveolar opacities. Consolidations were present in 52.5%, while pleural effusion was less frequent and observed in 12.2%. The interstitial opacities and alveolar opacities may represent the radiological manifestation of pulmonary edema and hyaline membrane formation in both lungs.
Our results are not in line with the recent report of Wong et al. [8] because in our series we found a higher amount of interstitial or alveolar opacities than consolidations; these results may be due to the fact that, differently from Wong et al., we did not consider the follow-up X-ray studies that caused an increase of the number of consolidations in their series, but we focused our attention only to the typical radiographic findings encountered at emergency admittance.
In our series, lung lesions typically tend to have a peripheral distribution (62.5%), a bilateral and multifocal involvement (64.5% and 54.5% respectively), with a lower lung prevalence (71,7%), similar to SARS and MERS imaging. Moreover, we found out that consolidation is statistically associated with age >60 years old and not associated with symptoms onset (p < 0.0001 and p = 0.924 respectively), and, consistently with previous studies, SARS-CoV-2 was more often found in men than in women [[9], [10], [11], [12], [13]].
A chest radiograph can establish the presence of pneumonia, define its extension and location, and can also diagnose complications like pleural effusion, while CT can show abnormalities that are not detectable with chest radiograph, especially the less extended, due to its higher sensitivity.
In our series, only 14% of patients underwent lung CT to better evaluate parenchyma involvement, in particular those with an important discrepancy between clinical symptoms, laboratory, and chest X-ray findings.
Early radiologic investigations consistently reported that the typical SARS-CoV-2 pneumonia CT findings were bilateral ground-glass opacities (GGOs) and consolidation with a peripheral distribution, as reported by Yoon et al. [14]. In our series, CT scan confirmed the presence of different pathological findings, mainly GGO, caused by alveolar space filled with blood, pus, water, or cells, a typical finding of viral pneumonia [15]. GGO can be easily detected by using CT, primarily due to its sensitivity based on the higher spatial and contrast resolution, when compared to conventional chest X-ray. Similar results were reported from Liu et al., observing that the most common lesions were the ground glass opacities, with a typical multilobar and bilateral involvement [13].
The second most common finding in our sample was the presence of consolidation, that can also be easily demonstrated by using a chest X-ray, as we reported. These results are in line with those previously reported by using CT imaging, with a bilateral, multiple, lobular, and subsegmental areas of consolidation [13].
Moreover, our series reported a mixed pattern, composed of GGOs and consolidations, especially in patients with negative chest X-ray: this discrepancy is primarily due to the small extension of pathological findings, not detectable with the conventional radiology. Since chest X-ray is not characterized by a high spatial resolution it is not possible to evaluate the presence of crazy paving patterns, considered, moreover, a non-specific CT finding that can be seen in various conditions, especially ARDS and viral pneumonia, without a direct correspondence to plain radiograph.
On the other hand, the presence of pleural effusion can be easily detectable by using chest X-ray, even if CT permits to better evaluate its extension and, eventually, complications. Our study confirmed that none of the patients with a negative chest X-ray had pleural effusion at CT scan, encouraging the usage of chest X-ray, especially in the emergency setting and in Countries where the access to CT is lacking.
The American College of Radiology (ACR) in March 2020, discouraged CT as a screening method, firstly to reduce radiation dose exposure. However, according to the official diagnosis and treatment protocol by the National Health Commission of China [16], CT examination represents a useful tool not only in diagnosing but also in monitoring progression and therapeutic efficacy. To support this, Miao et al [17] demonstrated that the presence of diffuse ground-glass opacities could be useful in the identification and differential diagnosis of SARS-CoV-2-related pneumonia, allowing to alert clinicians for prompt treatment and repeat the RT-PCR test until the end of the incubation. Zhao et al [18], by evaluating a cohort of 101 patients, established that patients with confirmed SARS-CoV-2-related pneumonia showed typical imaging features that could be helpful in early screening of highly suspected cases. Moreover, according to Fang et al [19], the sensitivity of chest CT was statistically greater than RT-PCR (98% vs 71%), encouraging the use of CT as a screening test in patients with clinical and epidemiological features compatible with SARS-CoV-2 infection. The RT-PCR test can show a low efficiency probably due to the low viremia and the unsuitable clinical sampling. On these bases, as suggested by our results, CT plays an important role both in diagnosis, especially the differential, and in clinically suspected patients with negative chest radiograph due to its intrinsic higher sensitivity. Finally, even if different studies evaluated the role of CT as a routine imaging modality for diagnosis or screening, the use of CT is rather complex, especially in the Emergency Department, first of all, due to time-consuming decontamination procedures to be completed in the CT room among different patients [10].
Our study had some limitations. First of all, most of our patients did not undergo a CT scan examination, therefore some early radiological lung features may not be demonstrated. Second, we did not evaluate follow-up X-ray findings in our study. Finally, some of the radiographic features were subtle, thus may limiting the reproducibility in suboptimal viewing conditions or by non-specialists.
5. Conclusion
In conclusion, although usually viral pneumonia has no typical imaging patterns, most of the cases with SARS-Cov-2 infection have similar manifestations on imaging and are related to the pathogenesis of pulmonary viral infection.
The most common X-ray pattern findings are interstitial and alveolar opacities, with a multifocal and peripheral pattern, with distribution slightly predominant in the lower lung.
These results demonstrated that the most common CT findings can be also appreciated on X-ray, that should be considered as a useful diagnostic imaging tool especially in the emergency setting or in those hospitals and country where the CT is not always available.
CRediT authorship contribution statement
Davide Ippolito: Project administration, Supervision, Writing - review & editing, Writing - original draft, Data curation, Conceptualization. Cesare Maino: Project administration, Writing - original draft, Writing - review & editing. Anna Pecorelli: Project administration, Writing - review & editing, Writing - original draft, Formal analysis. Pietro Allegranza: Investigation. Cecilia Cangiotti: Data curation. Carlo Capodaglio: Data curation, Resources, Investigation. Ilaria Mariani: Data curation, Resources, Investigation, Software. Teresa Giandola: Data curation, Investigation. Davide Gandola: Investigation. Ilaria Bianco: Investigation. Maria Ragusi: Data curation. Cammillo Talei Franzesi: Project administration, Methodology. Rocco Corso: Validation. Sandro Sironi: Visualization, Supervision.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
We would like to thank all the radiographers that have dedicated their time and efforts to perform the several radiological SARS-CoV-2 examinations in the isolation wards during this time and the radiologist staff of both hospitals to support that work.
References
- 1.Callaway E. Time to use the p-word? Coronavirus enters dangerous new phase. 2020. Nature d41586-020-00551–1. [DOI] [PubMed]
- 2.Gu J., Han B., Wang J. COVID-19: gastrointestinal manifestations and potential fecal-oral transmission. Gastroenterology. 2020 doi: 10.1053/j.gastro.2020.02.054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Hui J.Y.-H., Hon T.Y.-W., Yang M.K.-W., et al. High-resolution computed tomography is useful for early diagnosis of severe acute respiratory syndrome–associated coronavirus pneumonia in patients with normal chest radiographs. J. Comput. Assist. Tomogr. 2004;28:1–9. doi: 10.1097/00004728-200401000-00001. [DOI] [PubMed] [Google Scholar]
- 4.Wei J., Xu H., Xiong J., et al. 2019 novel coronavirus (COVID-19) pneumonia: serial computed tomography findings. Korean J. Radiol. 2020;21:501. doi: 10.3348/kjr.2020.0112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Xu Y.-H., Dong J.-H., An W.-M., et al. Clinical and computed tomographic imaging features of novel coronavirus pneumonia caused by SARS-CoV-2. J. Infect. 2020;80:394–400. doi: 10.1016/j.jinf.2020.02.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Chen N., Zhou M., Dong X., et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395:507–513. doi: 10.1016/S0140-6736(20)30211-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Stone B., Burrows J., Schepetiuk S., et al. Rapid detection and simultaneous subtype differentiation of influenza A viruses by real time PCR. J. Virol Methods. 2004;117:103–112. doi: 10.1016/j.jviromet.2003.12.005. [DOI] [PubMed] [Google Scholar]
- 8.Wong H.Y.F., Lam H.Y.S., Fong A.H.-T., et al. Frequency and distribution of chest radiographic findings in COVID-19 positive patients. Radiology. 2019 doi: 10.1148/radiol.2020201160. 201160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Bai H.X., Hsieh B., Xiong Z., et al. Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT. Radiology. 2020 doi: 10.1148/radiol.2020200823. 200823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Pan F., Ye T., Sun P., et al. Time course of lung changes on chest CT during recovery from 2019 novel coronavirus (COVID-19) pneumonia. Radiology. 2020 doi: 10.1148/radiol.2020200370. 200370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Yoon S.H., Lee K.H., Kim J.Y., et al. Chest radiographic and CT findings of the 2019 novel coronavirus disease (COVID-19): analysis of nine patients treated in korea. Korean J. Radiol. 2020;21:494–500. doi: 10.3348/kjr.2020.0132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Xu Z., Shi L., Wang Y., et al. Pathological findings of COVID-19 associated with acute respiratory distress syndrome. Lancet Respir. Med. 2020;8:420–422. doi: 10.1016/S2213-2600(20)30076-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Liu T., Huang P., Liu H., et al. Spectrum of chest CT findings in a familial cluster of COVID-19 infection. Radiology: Cardiothorac. Imag. 2020;2 doi: 10.1148/ryct.2020200025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Yoon Soon Ho, Lee Kyung, Kim Jin, Lee Young, Ko Hongseok, Kim Ki, Park Chang Min, Kim Yun-Hyeon. Chest radiographic and CT findings of the 2019 novel coronavirus disease (COVID-19): analysis of nine patients treated in korea. Korean J. Radiol. 2020;21 doi: 10.3348/kjr.2020.0132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Franquet Tomás. «Imaging of pulmonary viral pneumonia». Radiology. 2011;260(1):18–39. doi: 10.1148/radiol.11092149. luglio, DOI.org (Crossref) [DOI] [PubMed] [Google Scholar]
- 16.National Health Commission of the People’s Republic of China The diagnostic and treatment protocol of COVID-19. China. 2020. http://www.gov.cn/zhengce/zhengceku/2020-02/19/content_5480948.htm Available via. Accessed 3 Mar 2020. [DOI] [PMC free article] [PubMed]
- 17.Miao C., Jin M., Miao L., et al. Early chest computed tomography to diagnose COVID-19 from suspected patients: a multicenter retrospective study. Am. J. Emergency Med. 2020 doi: 10.1016/j.ajem.2020.04.051. S0735675720302813. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Zhao W., Zhong Z., Xie X., et al. Relation between chest CT findings and clinical conditions of coronavirus disease (COVID-19) pneumonia: a multicenter study. Am. J. Roentgenol. 2020;214:1072–1077. doi: 10.2214/AJR.20.22976. [DOI] [PubMed] [Google Scholar]
- 19.Fang Y., Zhang H., Xie J., et al. Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radiology. 2020 doi: 10.1148/radiol.2020200432. 200432. [DOI] [PMC free article] [PubMed] [Google Scholar]