Literature DB >> 33090353

The role of lung ultrasound as a frontline diagnostic tool in the era of COVID-19 outbreak.

Cristina Sorlini1, Marco Femia2, Giovanni Nattino3, Pietro Bellone4, Elisa Gesu4, Paolo Francione5, Michele Paternò6, Pasquale Grillo6, Aurora Ruffino6, Guido Bertolini7, Maurizio Cariati2, Francesca Cortellaro1.   

Abstract

The diffusion of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) worldwide prompted the World Health Organization to declare the status of pandemic. The molecular diagnosis of SARS-CoV-2 infection is based on the detection of viral RNA on different biological specimens. Unfortunately, the test may require several hours to be performed. In the present study, we evaluated the diagnostic accuracy of lung point-of-care ultrasound (POCUS) for SARS-CoV-2 pneumonia in a cohort of symptomatic patients admitted to one emergency department (ED) in a high-prevalence setting. This retrospective study enrolled all patients who visited one ED with suspected respiratory infection in March 2020. All the patients were tested (usually twice if the first was negative) for SARS-CoV-2 on ED admission. The reference standard was considered positive if at least one specimen was positive. If all the specimens tested negative, the reference was considered negative. Diagnostic accuracy was evaluated using sensitivity, specificity, and positive and negative predictive value. Of the 444 symptomatic patients who were admitted to the ED in the study period, the result of the lung POCUS test was available for 384 (86.5%). The sensitivity of the test was 92.0% (95% CI 88.2-94.9%), and the specificity was 64.9% (95% CI 54.6-74.4%). We observed a prevalence of SARS-CoV-2 infection of 74.7%. In this setting, the positive and negative predicted values were 88.6% (95% CI 84.4-92.0) and 73.3% (95% CI 62.6-82.2%), respectively. Lung POCUS is a sensitive first-line screening tool for ED patients presenting with symptoms suggestive of SARS-CoV-2 infection.

Entities:  

Keywords:  COVID-19; Diagnostic test; Point-of-care ultrasound; SARS-CoV-2; Sensitivity; Specificity

Mesh:

Year:  2020        PMID: 33090353      PMCID: PMC7579896          DOI: 10.1007/s11739-020-02524-8

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   3.397


Introduction

Coronavirus disease 19 (COVID-19) represents a new challenge among infectious diseases. It was first described in early December 2019 in China [1] and, since then, it has quickly spread so much around the world that the World Health Organization has declared the status of pandemic on March 11th 2020 [2]. The infection is sustained by a novel coronavirus, soon named severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) because of the high rate of lung involvement in the infected population. The disease has hit Italy hard, with the highest prevalence in Lombardy region, where different epidemic outbreaks have developed. In this context, emergency departments (EDs) were rapidly overwhelmed by the enormous number of patients, who had to be promptly managed. A simple, quick, and reliable diagnostic test to identify SARS-CoV-2 pneumonia is essential, so to immediately start the treatments and timely decide whether to admit the patient in a COVID-19-dedicated or COVID-19-free ward. The molecular diagnosis of SARS-CoV-2 infection is based on the detection of viral RNA on different biological samples (commonly nasopharyngeal swabs), through reverse transcriptase polymerase chain reaction (RT-PCR). This test takes about 6 h to be performed [3], but its results may require up to 36 h to reach patients and healthcare practitioners when the samples have to be sent remotely or in the case of laboratory overload. The accuracy of such a test is still unclear, as false negative rates as high as 30% have been reported [3-10]. SARS-CoV-2 infection with pulmonary involvement shows typical computed tomography (CT) findings [3-6]. With a reported sensitivity of 94% and specificity of 37% [11, 12], CT scan is considered the most accurate, first-line imaging test to evaluate patients admitted to the ED with respiratory symptoms suggestive of SARS-CoV-2 infection. In these cases, CT scan is particularly useful if RT-PCR is negative. Nevertheless, CT scan is time consuming, exposes patients to transport-related risks and to ionizing radiation. Moreover, during the pandemic, the unbalance between the available resources and the number of patients to manage makes CT scan very impractical as a systematic assessment. Chest X-ray is the most frequently performed radiological examination in the ED, in particular among patients with respiratory symptoms, due to its wide availability, low cost, and low radiation exposure. It provides a global two-dimensional picture of lung parenchyma. Because of its limited spatial resolution and diagnostic accuracy, particularly in infectious interstitial pneumonia [13], chest X-ray plays a key role in the monitoring of patients’ clinical course rather than in the diagnostic phase during a pandemic, in which a very sensitive test is necessary [14, 15]. Nowadays, lung point-of-care ultrasound (POCUS), performed and interpreted by emergency physicians, has a widespread use [16] and its role in the evaluation of patients with both cardiogenic and pneumogenic dyspnea is well established [17]. Previous studies have described the sonographic signs of COVID-19 pneumonia [18], which include B lines (hyperechoic, laser-like artifacts arising from the pleural line), often in a pattern known as interstitial syndrome (> 3B-lines in more than 2 lung regions), an irregular or fragmented pleural line and peripheral lung consolidations. Interspersed areas of spared lung, similar to Acute Respiratory Distress Syndrome (ARDS), have been observed, mostly with preserved pleural sliding and in the absence of pleural effusion. The current pandemic has caused a significant increase in ED admissions of patients with respiratory symptoms. To improve the clinical and organizational workflow and reduce the risk to infect non-COVID-19 patients, a quick and reliable differential diagnostic tool to distinguish between patients with suspected COVID-19 infection and those with symptoms secondary to other causes is essential. In the present study, we aim at evaluating the accuracy of lung POCUS in the diagnosis of COVID-19-associated pneumonia, as compared to the result of RT-PCR test in symptomatic patients admitted to the ED in a high-prevalence setting. To the best of our knowledge, this topic has not been previously investigated.

Materials and methods

Patients selection

This single-center, retrospective study enrolled all patients who consecutively visited the ED at San Carlo Borromeo Hospital in Milan, Italy, with signs and symptoms of respiratory infection, between March 1st and March 30th, 2020. Specifically, we considered all the patients presenting with cough, dyspnea, or a combination of these signs with fever. Patients’ characteristics were extracted from the ED and hospital electronic medical records. These characteristics included age, sex, signs, and symptoms on ED arrival and the results of POCUS test, chest X-ray, and CT scan, when performed. Although the POCUS test and chest X-ray were routinely performed on nearly all patients satisfying the eligibility criteria of this study (according to the current clinical practice of the center), chest CT scan was only performed out of clinician’s decision, in case of diagnostic uncertainty. The institutional review board provided ethical approval for the retrospective data collection, within the broader EC-COVID cohort study [19].

Lung ultrasound assessment

All the operators had received education in lung ultrasound (i.e., a single-day course on chest POCUS and additional hands-on training, including 150 exams under supervision) before the pandemic outbreak. Lung ultrasound was performed adopting the 12-region model, 6 on each side, dividing each hemithorax into an anterior, lateral, and posterior areas (delimitated by the anatomical landmarks represented by axillary lines), and each area into an upper and lower segment, as previously proposed by Via et al. [20]. All lung POCUS findings were reported in the electronic medical records, allowing the retrospective data collection. Lung POCUS was performed at the bedside just after the first clinical evaluation, and was considered positive for COVID-19 pneumonia in case of: Interstitial lung syndrome: two or more positive regions bilaterally (regions are defined as positive in presence of 3 or more B-lines on a longitudinal plane between two ribs) with irregular pleural line [21]. Interstitial lung pattern: two or more positive regions with irregular pleural line, with focal/unilateral distribution. White lung (coalescent B lines) in two or more zones. Subpleural consolidations. Significant pleural effusion alone was not considered a consistent finding for COVID-19 pneumonia [22].

Chest X-ray

All chest X-ray reports were reviewed and classified as positive or negative for pulmonary infection regardless the specific suspicion of lung involvement from SARS-CoV-2 infection. In case of ambiguous reports, the definitive decision was performed in a consensus reading between the author of the report and a radiologist with 5-year experience.

Reference standard

All the eligible patients underwent RT-PCR test on one or more respiratory specimens on ED arrival. Specimens included nasopharyngeal or oropharyngeal swabs, sputum, lower respiratory tract aspirates, bronchoalveolar lavage, nasopharyngeal wash/aspirate, or nasal aspirate. RT-PCR test was conducted with the Gene Finder COVID-19 Plus Real Amp Kit (Elitech) or LightMix Modular SARS-Cov (Roche) according with the manufacturers’ recommendations. For all the patients eligible to the study, our reference standard was defined on the basis of the results of the RT-PCR tests on specimens obtained on arrival at the ED. The reference was considered positive if at least one specimen tested positive for SARS-CoV-2. Patients requiring hospitalization were temporarily isolated in a dedicated area of the ED, waiting for the test results. Patients who tested positive were transferred to a COVID-19-dedicated ward. Upon a negative result on the first sample, the patient would ideally need to be retested after 48 h. Patients with clinical features, laboratory results and imaging not suggestive of SARS-CoV-2 infection were retested and kept in the ED. Alternatively, when the clinical conditions were highly suggestive of COVID-19, the patients were immediately admitted to COVID-19-dedicated wards and kept in side rooms before the results of the first RT-PCR test were available, in order to avoid ED overcrowding. It has wildly been documented that a single negative RT-PCR on respiratory specimens is insufficient to rule out COVID-19 [3-10]; hence, we performed two secondary analyses to assess the sensitivity of the study results to the reference standard. First, we excluded from the study cohort the subgroup of patients presenting with highly suspicious features of SARS-CoV-2 infection, who were tested on arrival at the ED and immediately hospitalized in COVID-19-dedicated wards, and whose first RT-PCR test turned out to be negative. Most of these patients were ultimately classified as negative on the basis of a single negative test; thus, they are more likely to be misclassified at the reference standard than patients who were tested twice or who tested positive—the proportion of false positive RT-PCR tests has been documented to be very small [23]. Second, in the full study cohort, we considered a different reference standard, where we considered as positive the patients who had a positive specimen at the RT-PCR test (as in the primary analysis) or presented a CT scan suggestive of COVID-19, whenever the examination was performed.

Statistical analysis

The study results are presented following the recommendations of the Standards for Reporting of Diagnostic Accuracy (STARD) [24]. Quantitative variables are described with mean and standard deviation or median and interquartile range. Categorical and binary variables are presented as counts and proportions. The statistical analyses were performed with R, version 3.6.1 [25]. The main analysis assessed the ability of the POCUS test to correctly classify patients with different results from the reference standard. The diagnostic accuracy of the POCUS test was primarily evaluated in terms of sensitivity and specificity and secondarily in terms of positive and negative predictive value (PPV and NPV) [24]. The estimates of these indicators are provided with 95% confidence intervals, computed with the exact binomial method [26]. The performances of the POCUS test were compared to the diagnostic accuracy of the chest X-ray, which was evaluated using the same methods. An identical methodological framework was used for the two secondary analyses.

Results

Study cohort

A total of 515 patients visited the ED during the study period. The selection of the eligible patients (384, 74.6%) is presented in Fig. 1. Table 1 provides descriptive statistics of the enrolled patients. Four-hundred and one (77.9%) patients underwent a bedside POCUS at the time of admission or shortly afterwards, which was systematically reported in the patient’s records and suitable for the subsequent analysis.
Fig. 1

Flow chart describing the patient selection and classification according to the POCUS test and reference standard

Table 1

Demographic and clinical characteristics of the enrolled patients

VariablesEnrolled patients (N = 384)
Age
 Mean (SD)65.4 (17.1)
 Median (Q1–Q3)68 (53–79)
 Missing1
Sex (female)—N (%)143 (37.2)
Symptoms at ED presentation—N (%)
 Cough257 (66.9)
 Dyspnea292 (76.0)
 Fever317 (82.6)
 Syncope20 (5.2)
 Vomit and/or diarrhea33 (8.6)
CT scan—N (%)
 Suggestive of COVID-1917 (4.4)
 Not suggestive of COVID-194 (1.0)
 Not executed363 (94.5)
Chest X-ray—N (%)
 Suggestive of lung infection248 (65.4)
 Not suggestive of lung infection125 (33.0)
 Not executed6 (1.6)
 Missing5
Flow chart describing the patient selection and classification according to the POCUS test and reference standard Demographic and clinical characteristics of the enrolled patients Only 21 patients (5.5%) underwent CT scan. The results were suggestive for COVID-19 for 17 (81.0%) of them.

Main analysis

Of the 287 patients that tested positive at the reference standard, 23 had a negative result from the POCUS test (false negatives). The sensitivity of the test was 92.0% (95% CI 88.2–94.9%). Of the 97 patients classified as negative at the reference standard, 34 tested positive at the POCUS test (false positives). Therefore, the specificity of the test was 64.9% (95% CI 54.6–74.4%). With the observed prevalence of 74.7% (287/384), the PPV and NPV of the POCUS test were 88.6% (95% CI 84.4–92.0) and 73.3% (95% CI 62.6–82.2%), respectively. The chest X-ray result was not available on 11 patients (2.9%), of whom 7 were positive at the reference standard. The X-ray showed 73 false negative and 41 false positive results. Therefore, sensitivity and specificity were 73.9% (95% CI 68.4–79.0%) and 55.9% (95% CI 45.2–66.2%), considerably lower than those of the POCUS test. The PPV and NPV were 83.5% (95% CI 78.2–87.9) and 41.6% (95% CI 32.9–50.8%).

Secondary analyses

The patients who were hospitalized with a single negative RT-PCR test were 39, i.e., 40.2% of the negative results at the reference standard. Thirty (76.9%) tested positive at the POCUS test, while 9 (23.1%) tested negative. After the exclusion of these patients, the specificity of the POCUS test raised to 93.1% (95% CI 83.3–98.1%). As we only excluded patients who were negative at the reference standard, the sensitivity of the test was unchanged. PPV and NPV, now with a prevalence of disease of 83.2% (287/345), were 98.5% (95% CI 96.2%-99.6%) and 70.1% (95% CI 58.6–80.0%), respectively. The chest X-ray was not available on 3 of the patients who were negative at the reference standard, after the exclusion of the subgroup. The false positives were 20. Hence, the specificity of the chest X-ray was 63.6% (95% CI 49.6–76.2%) on the selected cohort, while PPV and NPV were 91.2% (95% CI 86.7–94.5) and 32.4% (95% CI 23.7–42.1%). In the other secondary analysis, we considered the entire study cohort and classified as positive reference standard those patients with a positive RT-PCR test (as in the main analysis) or with a CT scan suggestive of COVID-19. Only 4 of the 17 positive CT scan examinations were classified as negative at the main reference standard (RT-PCR on respiratory specimens). Two of them (50%) tested positive at the POCUS test. Using this modified reference, the sensitivity and specificity were 91.4% (95% CI 87.6–94.4%) and 65.6% (95% CI 55.0–75.1%). PPV and NPV were 89.3% (95% CI 85.2–92.5%) and 70.9% (95% CI 60.1–80.2%), respectively. The chest X-ray results were available on 3 of the 4 patients with negative reference standard and positive CT scan. Using the modified reference, the resulting sensitivity and specificity were 73.9% (95% CI 68.3–78.9%) and 56.7% (95% CI 45.8–67.1%), while the PPV and NPV were 84.3% (95% CI 79.1–88.6%) and 40.8% (95% CI 32.1–49.9%).

Ultrasound findings in patients with positive reference results

Of the 287 patients who tested positive at the reference standard, 265 (92.3%) presented with interstitial lung pattern and irregular pleura. Bilateral lung involvement (interstitial syndrome) was found in 246 cases (85.7%). Lung consolidations were described in 113 patients (39.4%). Pleural effusion was very uncommon among the study population (24 patients, 8.4%).

Ultrasound findings in patients with negative reference results

Among the 34 patients with negative RT-PCR and positive POCUS, 12 (35.3%) had one or more repeated negative swabs. The other patients were not retested either because they died in ED or soon after admission or because of technical or logistic difficulties. Ultrasound findings in patients with negative RT-PCR on respiratory specimens were similar to those who were found positive at the standard reference: 32 (94.1%) presented with interstitial lung pattern and irregular pleura, which was bilateral in 27 cases (79.4%). Ten patients had one or more subpleural consolidations (29.4%), only in 3 cases a pleural effusion was detected (8.8%). Of the latter, one patient was diagnosed with pancreatitis and 2 with acute decompensated heart failure. Six patients presented with isolated interstitial lung pattern with no subpleural consolidations. Of those, three were diagnosed with decompensated hearth failure, one with acute exacerbation of COPD, one with lung cancer and one with Respiratory Syncytial Virus infection. Despite a negative first swab, 26 of the 34 patients, presenting with suggestive clinical and ultrasound features, were admitted to side rooms in COVID-19-dedicated wards to allow further work up. One patient died in ED, before a second sample was taken. Of the 7 patients who were admitted to COVID-19-free wards, two presented suspicious ultrasound features: one underwent a CT scan, showing choledocholithiasis and a small ground glass area in the lingula. The second underwent neither a second swab nor chest CT and was diagnosed with acute decompensated heart failure and pneumonia.

Discussion

The Coronaviridae family of viruses includes six previously known human-infecting coronaviruses, which are enveloped, non-segmented, positive-sense RNA viruses that are broadly distributed in humans and other mammals [27]. The novel SARS-CoV-2 coronavirus is the seventh member of the Coronaviridae family known to infect humans. Despite a lower reported mortality as compared to previously described coronaviruses (SARS-CoV and MERS-CoV), SARS-CoV-2 is highly contagious, and could lead to severe clinical manifestations, especially in patients with predisposing factors (older age and the presence of comorbidities) [1]. Lung involvement is common and leads to the highest morbidity and mortality [28]. Imaging examination has a determinant role, not only in the early detection and diagnosis, as discussed in this study, but also in monitoring the clinical course of the patients. For example, characteristic findings on CT imaging, including multiple, patchy, ground-glass opacity, crazy-paving pattern, and consolidation shadows, mainly distributed in the lower lobes, in peripheral and subpleural areas of both lungs, have been widely documented in COVID-19 patients. However, CT scan cannot always be considered as a first screening tool for all patients, due to logistic, economic, and health-related factors. The SARS-CoV-2 pandemic has led to significant ED overcrowding, posing several issues in terms of patients’ timely diagnosis, management and workflow. In particular, the impelling need of an upfront identification of infected patients, to provide timely treatments and prevent the spread of the virus, has motivated the search of a quick, simple, and reliable screening tool. POCUS has been previously described as a useful imaging method to identify lung involvement in a variety of clinical settings [17]. We demonstrate the feasibility as a first-line screening tool of lung POCUS on patients admitted to ED with symptoms suggestive of SARS-CoV-2 infection. Our study considered a large cohort, including all the patients who consecutively visited the ED with signs and symptoms of respiratory infection. We were able to assess the performance of the POCUS test in high-prevalence settings (74.7% of the patients were positive to the RT-PCR test), during a regional COVID-19 outbreak that caused a massive inflow of patients. Therefore, we were able to assess the diagnostic performance of POCUS in conditions were such test would be most useful in practice. Moreover, our data show that chest X-ray lacks sensitivity and specificity to detect COVID-19-associated interstitial lung involvement. As no etiological diagnosis can be inferred on the basis of chest X-ray results alone, we considered all the images compatible with lung infection as positive, irrespective of any specific feature suggestive of COVID-19. This could partially explain the low specificity and PPV of chest X-ray in our data set. We demonstrated that, as compared to the reference standard, POCUS has a high sensitivity. Nevertheless, in our data set, the specificity of POCUS remained moderately low, as ultrasound findings do not allow an etiological diagnosis per se. Despite that, in the setting of a pandemic, when the prevalence of the disease is very high, there is a strong concordance between positive RT-PCR and ultrasound findings. In our study, ultrasound findings showed a characteristic pattern of interstitial lung syndrome, with irregular pleura, and subpleural consolidations, as previously reported [29]. This pattern was described in both subgroups of patients, either positive or negative at the reference standard. In particular, the presence of pleural effusion seems to be very uncommon among COVID-19 patients, and more suggestive of other etiologies (such as decompensated heart failure or pancreatitis). On the other hand, the presence of interstitial lung syndrome with irregular pleura and subpleural consolidations seems to have a high positive predictive value. These data warrant a prospective evaluation. It has been demonstrated elsewhere that a single negative RT-PCR on respiratory specimen is not sufficient to rule out COVID-19 pneumonia [11]. In our secondary analysis, when patients with a single negative swab were excluded, the specificity of POCUS increased dramatically. These results suggest that, during a pandemic, it is sensible to isolate patients with highly suggestive clinical features and ultrasound findings, irrespective of the first swab results. Moreover, we may speculate that, in the context of a highly suggestive presentation, a positive ultrasound should prompt further and repeated investigations to definitively rule out SARS-CoV-2 infection. In particular, at least two negative results of RT-PCR on different respiratory specimen taken 48 h apart would be needed to confirm the absence of COVID-19 infection [30]. Our study has several limitations. First, it was conducted in a retrospective fashion. Second, our physicians did not follow a standardized way to report ultrasound findings. Thus, some records were incomplete or not eligible for accurate analysis. In particular, US report was unclear or missing only in 17 cases. Third, even though ultrasound is an operator-dependent imaging modality, the assessment of the interobserver agreement between operators, which has been evaluated in the previous studies [31], was made impossible by our retrospective study design. However, all the operators received the same training and were instructed to use the same 12-region model. Fourth, many of our patients underwent a single nasopharyngeal swab, even in the presence of suggestive symptoms and positive ultrasound findings. This was mainly due to the lack of shared guidelines at the beginning of the pandemic and the incredible work overload. Nevertheless, most of the POCUS suggestive of interstitial pneumonia in patients with first negative swabs, which we considered as false positive, would probably have been truly positive if the RT-PCR test had been repeated or chest CT performed. If proven prospectively, this could affect the management of those patients with highly suspicious clinical features but a single negative RT-PCR on a respiratory specimen. We believe that a cautious hospitalization in a COVID-19-dedicated ward and discharge with indications to domestic quarantine should be followed. Finally, ultrasound findings remain non-specific when considered out of a clinical context. Interstitial lung syndrome merely reflects the increased non-aerated-to-aerated ratio in the lung parenchyma and has multiple causes, pulmonary oedema being the most common. When the prevalence of a disease is extremely high, as during the outbreak of an infectious disease, the characteristics of patients may differ substantially from those observed in low-prevalence conditions. Therefore, the diagnosis should always consider the whole clinical picture and epidemiological context. In summary, during SARS-CoV-2 pandemic, POCUS performed in patients presenting with symptoms suggestive of COVID-19 infection allows the prompt identification of interstitial lung involvement. This dramatically affects the patients’ management in terms of identification of those who require hospitalization, initiation of ventilation and other therapies, and cohort isolation of presumptive positive cases. Below is the link to the electronic supplementary material. Supplementary file1 (PDF 174 kb)
  20 in total

1.  Author Correction: Virological assessment of hospitalized patients with COVID-2019.

Authors:  Roman Wölfel; Victor M Corman; Wolfgang Guggemos; Michael Seilmaier; Sabine Zange; Marcel A Müller; Daniela Niemeyer; Terry C Jones; Patrick Vollmar; Camilla Rothe; Michael Hoelscher; Tobias Bleicker; Sebastian Brünink; Julia Schneider; Rosina Ehmann; Katrin Zwirglmaier; Christian Drosten; Clemens Wendtner
Journal:  Nature       Date:  2020-12       Impact factor: 49.962

2.  Detection of SARS-CoV-2 in Different Types of Clinical Specimens.

Authors:  Wenling Wang; Yanli Xu; Ruqin Gao; Roujian Lu; Kai Han; Guizhen Wu; Wenjie Tan
Journal:  JAMA       Date:  2020-05-12       Impact factor: 56.272

3.  Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.

Authors:  Dawei Wang; Bo Hu; Chang Hu; Fangfang Zhu; Xing Liu; Jing Zhang; Binbin Wang; Hui Xiang; Zhenshun Cheng; Yong Xiong; Yan Zhao; Yirong Li; Xinghuan Wang; Zhiyong Peng
Journal:  JAMA       Date:  2020-03-17       Impact factor: 56.272

4.  Erratum: Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation.

Authors:  Hyewon Choi; Xiaolong Qi; Soon Ho Yoon; Sang Joon Park; Kyung Hee Lee; Jin Yong Kim; Young Kyung Lee; Hongseok Ko; Ki Hwan Kim; Chang Min Park; Yun-Hyeon Kim; Junqiang Lei; Jung Hee Hong; Hyungjin Kim; Eui Jin Hwang; Seung Jin Yoo; Ju Gang Nam; Chang Hyun Lee; Jin Mo Goo
Journal:  Radiol Cardiothorac Imaging       Date:  2020-12-17

5.  Serial Quantitative Chest CT Assessment of COVID-19: A Deep Learning Approach.

Authors:  Lu Huang; Rui Han; Tao Ai; Pengxin Yu; Han Kang; Qian Tao; Liming Xia
Journal:  Radiol Cardiothorac Imaging       Date:  2020-03-30

6.  Chest-X-ray is a mainstay for follow-up in critically ill patients with covid-19 induced pneumonia.

Authors:  Olivier de Barry; Ilan Obadia; Mostafa El Hajjam; Robert-Yves Carlier
Journal:  Eur J Radiol       Date:  2020-05-13       Impact factor: 3.528

7.  Pulmonary Embolism and Deep Vein Thrombosis in COVID-19: A Systematic Review and Meta-Analysis.

Authors:  Young Joo Suh; Hyunsook Hong; Mickaël Ohana; Florian Bompard; Marie-Pierre Revel; Clarissa Valle; Alban Gervaise; Julien Poissy; Sophie Susen; Guillaume Hékimian; Mathieu Artifoni; Daniel Periard; Damien Contou; Julie Delaloye; Bienvenido Sanchez; Cheng Fang; Giorgio Garzillo; Hasti Robbie; Soon Ho Yoon
Journal:  Radiology       Date:  2020-12-15       Impact factor: 11.105

Review 8.  Coronavirus Disease 2019 (COVID-19): A Perspective from China.

Authors:  Zi Yue Zu; Meng Di Jiang; Peng Peng Xu; Wen Chen; Qian Qian Ni; Guang Ming Lu; Long Jiang Zhang
Journal:  Radiology       Date:  2020-02-21       Impact factor: 11.105

9.  False-Negative Results of Real-Time Reverse-Transcriptase Polymerase Chain Reaction for Severe Acute Respiratory Syndrome Coronavirus 2: Role of Deep-Learning-Based CT Diagnosis and Insights from Two Cases.

Authors:  Dasheng Li; Dawei Wang; Jianping Dong; Nana Wang; He Huang; Haiwang Xu; Chen Xia
Journal:  Korean J Radiol       Date:  2020-03-05       Impact factor: 3.500

10.  SARS-CoV-2 RNAaemia predicts clinical deterioration and extrapulmonary complications from COVID-19.

Authors:  Nikhil Ram-Mohan; David Kim; Elizabeth J Zudock; Marjan M Hashemi; Kristel C Tjandra; Angela J Rogers; Catherine A Blish; Kari C Nadeau; Jennifer A Newberry; James V Quinn; Ruth O'Hara; Euan Ashley; Hien Nguyen; Lingxia Jiang; Paul Hung; Andra L Blomkalns; Samuel Yang
Journal:  medRxiv       Date:  2020-12-22
View more
  19 in total

Review 1.  Thoracic imaging tests for the diagnosis of COVID-19.

Authors:  Sanam Ebrahimzadeh; Nayaar Islam; Haben Dawit; Jean-Paul Salameh; Sakib Kazi; Nicholas Fabiano; Lee Treanor; Marissa Absi; Faraz Ahmad; Paul Rooprai; Ahmed Al Khalil; Kelly Harper; Neil Kamra; Mariska Mg Leeflang; Lotty Hooft; Christian B van der Pol; Ross Prager; Samanjit S Hare; Carole Dennie; René Spijker; Jonathan J Deeks; Jacqueline Dinnes; Kevin Jenniskens; Daniël A Korevaar; Jérémie F Cohen; Ann Van den Bruel; Yemisi Takwoingi; Janneke van de Wijgert; Junfeng Wang; Elena Pena; Sandra Sabongui; Matthew Df McInnes
Journal:  Cochrane Database Syst Rev       Date:  2022-05-16

Review 2.  Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19.

Authors:  Thomas Struyf; Jonathan J Deeks; Jacqueline Dinnes; Yemisi Takwoingi; Clare Davenport; Mariska Mg Leeflang; René Spijker; Lotty Hooft; Devy Emperador; Julie Domen; Anouk Tans; Stéphanie Janssens; Dakshitha Wickramasinghe; Viktor Lannoy; Sebastiaan R A Horn; Ann Van den Bruel
Journal:  Cochrane Database Syst Rev       Date:  2022-05-20

3.  From the Triage to the Intermediate Area: A Simple and Fast Model for COVID-19 in the Emergency Department.

Authors:  Erika Poggiali; Enrico Fabrizi; Davide Bastoni; Teresa Iannicelli; Claudia Galluzzo; Chiara Canini; Maria Grazia Cillis; Davide Giulio Ponzi; Andrea Magnacavallo; Andrea Vercelli
Journal:  Int J Environ Res Public Health       Date:  2022-06-30       Impact factor: 4.614

4.  Point-of-care lung ultrasonography for early identification of mild COVID-19: a prospective cohort of outpatients in a Swiss screening center.

Authors:  Siméon Schaad; Thomas Brahier; Noémie Boillat-Blanco; Mary-Anne Hartley; Jean-Baptiste Cordonnier; Luca Bosso; Tanguy Espejo; Olivier Pantet; Olivier Hugli; Pierre-Nicolas Carron; Jean-Yves Meuwly
Journal:  BMJ Open       Date:  2022-06-24       Impact factor: 3.006

Review 5.  The diagnostic performance of lung ultrasound for detecting COVID-19 in emergency departments: A systematic review and meta-analysis.

Authors:  Reem Jari; Abdulrahman M Alfuraih; James R McLaughlan
Journal:  J Clin Ultrasound       Date:  2022-03-09       Impact factor: 0.869

Review 6.  Review of COVID-19 testing and diagnostic methods.

Authors:  Olena Filchakova; Dina Dossym; Aisha Ilyas; Tamila Kuanysheva; Altynay Abdizhamil; Rostislav Bukasov
Journal:  Talanta       Date:  2022-03-31       Impact factor: 6.556

7.  Lung Ultrasound Findings in Patients Hospitalized With COVID-19.

Authors:  Andre Kumar; Yingjie Weng; Youyou Duanmu; Sally Graglia; Farhan Lalani; Kavita Gandhi; Viveta Lobo; Trevor Jensen; Sukyung Chung; Jeffrey Nahn; John Kugler
Journal:  J Ultrasound Med       Date:  2021-03-05       Impact factor: 2.754

8.  Lung ultrasound for the early diagnosis of COVID-19 pneumonia: an international multicenter study.

Authors:  Giovanni Volpicelli; Luna Gargani; Stefano Perlini; Stefano Spinelli; Greta Barbieri; Antonella Lanotte; Gonzalo García Casasola; Ramon Nogué-Bou; Alessandro Lamorte; Eustachio Agricola; Tomas Villén; Paramjeet Singh Deol; Peiman Nazerian; Francesco Corradi; Valerio Stefanone; Denise Nicole Fraga; Paolo Navalesi; Robinson Ferre; Enrico Boero; Giampaolo Martinelli; Lorenzo Cristoni; Cristiano Perani; Luigi Vetrugno; Cian McDermott; Francisco Miralles-Aguiar; Gianmarco Secco; Caterina Zattera; Francesco Salinaro; Alice Grignaschi; Andrea Boccatonda; Fabrizio Giostra; Marta Nogué Infante; Michele Covella; Giacomo Ingallina; Julia Burkert; Paolo Frumento; Francesco Forfori; Lorenzo Ghiadoni
Journal:  Intensive Care Med       Date:  2021-03-20       Impact factor: 17.440

Review 9.  Highlighting COVID-19: What the imaging exams show about the disease.

Authors:  Lorena Sousa de Carvalho; Ronaldo Teixeira da Silva Júnior; Bruna Vieira Silva Oliveira; Yasmin Silva de Miranda; Nara Lúcia Fonseca Rebouças; Matheus Sande Loureiro; Samuel Luca Rocha Pinheiro; Regiane Santos da Silva; Paulo Victor Silva Lima Medrado Correia; Maria José Souza Silva; Sabrina Neves Ribeiro; Filipe Antônio França da Silva; Breno Bittencourt de Brito; Maria Luísa Cordeiro Santos; Rafael Augusto Oliveira Sodré Leal; Márcio Vasconcelos Oliveira; Fabrício Freire de Melo
Journal:  World J Radiol       Date:  2021-05-28

10.  Significance of Lung Ultrasound in Patients with Suspected COVID-19 Infection at Hospital Admission.

Authors:  Holger Gutsche; Thomas G Lesser; Frank Wolfram; Torsten Doenst
Journal:  Diagnostics (Basel)       Date:  2021-05-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.