Literature DB >> 32367169

What's new in lung ultrasound during the COVID-19 pandemic.

Giovanni Volpicelli1, Alessandro Lamorte2, Tomás Villén3.   

Abstract

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Mesh:

Year:  2020        PMID: 32367169      PMCID: PMC7196717          DOI: 10.1007/s00134-020-06048-9

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


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The SARS-CoV-2 pandemic is undermining the ability of many advanced healthcare systems worldwide to provide quality care [1, 2]. COVID-19 is the disease caused by infection with SARS-CoV-2, a virus with specific tropism for the lower respiratory tract in the early disease stage [3]. Computed tomography scans of patients with COVID-19 typically show a diffuse bilateral interstitial pneumonia, with asymmetric, patchy lesions distributed mainly in the periphery of the lung [4-6]. In the context of a pandemic, rapid case identification, classification of disease severity and correct treatment allocation are crucial for increasing surge capacity. Overtriage to admission and to intensive care by clinicians working in the department of emergency medicine (ED) will overwhelm system capacity. Undertriage can lead to loss of life and cross infections. Similarly, selection of those patients most likely to respond to specific treatments and determining the response to treatment in the intensive care unit (ICU) can conserve scarce resources. Lung ultrasound (LUS) is well known for its feasibility and high accuracy when used at the bedside for diagnosing pulmonary diseases [7, 8]. As the most striking manifestation of COVID-19 disease is in the pulmonary system, LUS performed by a trained and knowledgeable clinician may aid precisely in triage, classification of disease severity and treatment allocation in both the ED and the ICU. In this paper, we describe the use of LUS in treating patients with COVID-19.

Case identification and classification of disease severity

Pending RT-PCR test results, other patients (or staff) may be unnecessarily exposed to those carrying the disease. Verifying that patients have COVID-19 therefore remains the rate-limiting step in patient triage. Alternatively, redundant implementation of precautions may lead to unnecessary resource consumption. The use of LUS in this context could revolutionize patient triage. The LUS technique described in this paper is detailed in the supplementary material (Online Resources Supplementary file 12 LUS_TECHNIQUE.docx and Figure_1-6 and Video_1-2). The pretest probability of gaining useful information from LUS is likely to be highest when the clinician seeks to correlate clinical findings with those seen in LUS and knows what information to seek in order to do so. COVID-19 presents with not only specific LUS signs but also with typical patterns of LUS findings.

LUS signs

The signs seen in the LUS of patients with COVID-19 are similar to those extensively described in patients with other types of pneumonia [7]. These include various forms of B-lines, an irregular or fragmented pleural line, consolidations, pleural effusions and absence of lung sliding (see Online Resources Video_3-10) [9]. The LUS of patients with COVID-19 usually shows an explosion of multiform vertical artifacts and separate and coalescent B-lines. The pleural line may be irregular or fragmented as is commonly observed in ARDS. As stated above none of these signs is pathognomonic to COVID-19 pneumonia and their presence is variable. Conversely, a typical artifact that we named “light beam” is being observed invariably in most patients with pneumonia from COVID-19. This artifact corresponds to the early appearance of “ground glass” alterations typical of the acute disease that may be detected in computed tomography. This broad, lucent, band-shaped, vertical artifact moves rapidly with sliding, at times creating an “on–off” effect as it appears and disappears from the screen. The bright artifact typically arises from an entirely regular pleural line interspersed within areas of normal pattern or with separated B-lines (Online Resources Video_5). At times it seems to cover the A-lines, concealing them entirely. At other times A-lines may still be visualized in the background as it is observed. The light beam is observed also in other conditions with ground glass alterations. Nevertheless, the importance of this sign is given by the contingency of the terrible pandemic of COVID-19 that we are experiencing in our EDs. A multicenter study in progress is investigating the accuracy of this sign. To date, a pilot analysis of a monocenter series of 100 patients suspected for COVID-19 revealed the presence of multiple light beams in 48 of the 49 patients with confirmed disease and pneumonia. The same sign was never observed in 12 patients with alternative pulmonary diagnoses and negative swab test (unpublished data).

LUS Patterns

The LUS findings of patients with COVID-19 are unique in both combination and distribution. Therefore, patients presenting to the ED may be classified into four broad categories based on the presence of specific patterns of LUS findings (see Table 1). Patients presenting with the pattern described in category A have little or no pulmonary involvement and are therefore unlikely to have COVID-19 disease (i.e., asymptomatic SARS-CoV-2 carriers or patients with no lung disease). In patients presenting with any of the LUS patterns described in category B (Online Resources Video_11-14) alternative diagnoses should be sought. These patients are most likely to have a condition other than COVID-19 causing their pulmonary disease. Patients presenting with the pattern of LUS findings described in category C (Online Resource Video_15) may have COVID-19 disease, whereas those presenting with the patterns of LUS findings described in category D (Online Resources Video_16-21 and Figure_7-8) probably have COVID-19 disease.
Table 1

Categories of probability of the disease based on patterns of LUS findings

CategoryLUS findings
A-Low probability of COVID-19 disease (normal lungs)Regular sliding
A-lines observed over the whole chest
Absence of significant B-lines (i.e., isolated or limited to the bases of the lungs)
B-Pathological findings on LUS but diagnosis other than COVID-19 most likelyLarge lobar consolidation with dynamic air bronchograms
Large tissue-like consolidation without bronchograms (obstructive atelectasis)
Large pleural effusion and consolidation with signs of peripheral respiratory re-aeration (compressive atelectasis)
Complex effusion (septated, echoic) and consolidation without signs of re-aeration
Diffuse homogeneous interstitial syndrome with separated B-lines with or without an irregular pleural line
Patterns suggestive of specific diagnoses:
Cardiogenic pulmonary edema: diffuse B-lines with symmetric distribution and a tight correlation between the severity of B-lines and the severity of respiratory failure (anterior areas involved in the most severe conditions); in this case distribution of B-lines is uniform and gravity related; extending the sonographic examination to the heart will support the alternative diagnosis
Pulmonary fibrosis and interstitial pneumonia from alternative common viruses: the B-lines pattern has greater spread and there are no or limited “spared areas” (alternating normal A-lines pattern)
Chronic fibrosis: diffuse B-lines with clinical severity mismatch and with diffuse irregularity of the pleural line
C-Intermediate probability of COVID-19 diseaseSmall, very irregular consolidations at the two bases without effusion or with very limited anechoic effusion
Focal unilateral interstitial syndrome (multiple separated and/or coalescent B-lines) with or without irregular pleural line
Bilateral focal areas of interstitial syndrome with well-separated B-lines with or without small consolidations
D-High probability of COVID-19 diseaseBilateral, patchy distribution of multiple cluster areas with the light beam sign, alternating with areas with multiple separated and coalescent B-lines and well-demarcated separation from large “spared” areas
The pleural line can be regular, irregular and fragmented
Sliding is usually preserved in all but severe cases
Multiple small consolidations limited to the periphery of the lungs
A light beam may be visualized below small peripheral consolidations and zones with irregular pleural line
Categories of probability of the disease based on patterns of LUS findings The presence of large consolidations with air bronchograms mainly in the bases of the lungs should always raise suspicion of bacterial cross-infection. As noted above, LUS findings are always most informative when they are interpreted in light of the clinical context; some asymptomatic or mildly symptomatic patients may have surprisingly impressive high probability LUS findings. Conversely, in our experience, patients with COVID-19 disease who suffer from severe respiratory failure are not likely to have no or mild LUS alterations.

Treatment allocation

There are several ways LUS may be used to determine allocation of treatment resources to those patients most likely to respond. These include early quantification of the severity of lung involvement, periodic assessment for the appearance of findings suggestive of atelectasis or pneumonia and monitoring the effects of changes in mechanical ventilation and recruitment maneuvers on lung aeration. The use of LUS to quantify and monitor changes in aeration has been described in critically ill patients with ARDS [10, 11]. It is our impression that, contrary to what has been described in ARDS, interstitial patterns and consolidations contribute almost equally to lack of aeration in patients with COVID-19 [12]. Rather, the severity of respiratory impairment seems to be related to the overall proportion of lung tissue showing ground-glass alterations [6]. Early quantification of the severity of lung involvement in patients with COVID-19 may be obtained by estimating the overall amount of lung areas detected as being pathological with ultrasound. Documenting the ultrasound images obtained enables later assessment of lesion size and more precise calculation of the proportion of diseased lung. The diseased lung is identified by the presence of any pathological finding (e.g., separated and coalescent B-lines, light beams, consolidations) and the areas of diseased lung are measured. For each video clip, the proportion of involved lung is estimated (0–30-50-70-100%) and the overall proportion is then calculated. This method of semi-quantification may be used to estimate the extent of lung involvement which could serve to identify at least some of the patients more likely to require invasive ventilation. Periodic assessment for the appearance of findings suggestive of atelectasis or pneumonia can be highly informative. Identification of interstitial patterns or consolidations typical of pneumonia in patients with COVID-19 should lead to a change in care. Modifying ventilation parameters is simple but may not suffice for recruitment. We are adopting pronation guided mainly by LUS detection of extended lesions in the dorsal areas both in patients treated with continuous positive airway pressure (CPAP) and in invasively ventilated patients. In patients that are invasively ventilated we suggest following evidence-based suggestions for monitoring aeration changes [10, 11]. The lung is studied in oblique scans in two anterior, two lateral and two posterior areas per side. Each area is assigned a score ranging from 0 to 3 (0 = normal A-lines, 1 = multiple separated B-lines, 2 = coalescent B-lines or light beam, 3 = consolidation). The sum of all the areas represents the aeration score. The dynamic changes in aeration can then be quantified by reassigning a new score to re-aerated areas (see Table 2). New methods for automated computer-aided measurement of aeration could be considered when available, with the advantage of a more standardized quantitative approach for monitoring [13].
Table 2

Quantification of re-aeration and loss of aeration by the observation of changes of the LUS pattern in each of the 12 chest areas. The final score is the sum of the 12 areas

Re-aeration scoreLoss of aeration score
 + 1 point + 3 points+ 5 points− 5 points− 3 points− 1 point
B1 to NormalB2 to NormalC to NormalNormal to CNormal to B2Normal to B1
B2 to B1C to B1B1 to CB1 to B2
C to B2B2 to C

B1: multiple separated B-lines; B2: coalescent B-lines or light beam; C: consolidation

Quantification of re-aeration and loss of aeration by the observation of changes of the LUS pattern in each of the 12 chest areas. The final score is the sum of the 12 areas B1: multiple separated B-lines; B2: coalescent B-lines or light beam; C: consolidation In the setting of critically ill COVID-19 patients with severe pneumonia, the possibility of thromboembolic disease should be considered [14]. Even if there are no published studies thus far, COVID-19 patients are likely at increased risk for thromboembolism [15]. Critically ill patients should be treated accordingly and monitored by cardiac and venous ultrasound to diagnose deep venous thrombosis and cardiac signs of acute pulmonary embolism [16]. We show a case of COVID-19 with sudden deterioration and cardiac arrest due to acute pulmonary embolism with popliteal thrombosis (Online Resources Video_22-23). Hospital flooding of patients with COVID-19 imposes a huge burden on the medical system. This burden can be somewhat mitigated with optimization of patient identification, triage and management. LUS is noninvasive and can be performed very rapidly. LUS may be used in the ED to identify likely COVID-19 patients and to identify those patients with more extensive pulmonary involvement who should probably be referred to the ICU. It may serve to differentiate between patients with acute signs of respiratory failure, patients with mild symptoms and normal respiratory function, patients with preexisting chronic cardiac or pulmonary diseases (see flow charts in Online Resources Figure_9-11). In the ICU, LUS may be used to identify areas of poor lung aeration and to monitor the effect of changes in ventilation and recruitment maneuvers on lung aeration. Below is the link to the electronic supplementary material. Figure_1. A longitudinal scan of the chest wall showing the pleural surface in between and below the two ribs (PNG 1359 kb) Figure_2. An oblique scan showing the maximal extension of the pleural surface without interposition of the ribs (PNG 1554 kb) Figure_3. Anterior chest between the parasternal line (PSL) and the anterior axillary line (AAL). The scan 1 is performed longitudinally to examine the 4-5 anterior intercostal spaces (PNG 1509 kb) Figure_4. Lateral chest between the anterior axillary line (AAL) and the posterior axillary line (PAL). The scan 2 is performed longitudinally to examine the 4-5 lateral intercostal spaces. The scan 3 is performed in oblique to examine the costophrenic angle to diagnose effusion (PNG 1131 kb) Figure_5. Posterior chest between the scapula and the spine line (SL). The scan 4 is performed longitudinally to examine 6-7 posterior intercostal spaces. The scan 5 is performed in oblique to examine in steps the 3-4 intercostal spaces below the inferior margin of the scapula (PNG 1382 kb) Figure_6. The “tilting” adjustment to optimize the visualization of the pleural surface and the lung artifacts. This regulation is particularly crucial in the dorsal scans (PNG 1820 kb) Figure_7. CT image of the same confirmed COVID-19 case of the Video 20, showing the ground glass opacity corresponding to the light beam sign detected by LUS in the left lateral area of the chest (PNG 198 kb) Figure_8. CT image of the same confirmed COVID-19 case of the Video 21, showing the ground glass opacity corresponding to the light beam sign detected by LUS in the left superior lateral area of the chest (JPG 214 kb) Figure_9. Flow chart for hospital flooding of patients with acute respiratory failure. These are those patients complaining of fatigue and peripheral oxygen saturation <92-93% on room air without history of chronic cardiac and/or lung diseases. LUS: Lung Ultrasound; ED: Emergency Department; PCT: serum Procalcitonin; LC: Leukocyte Count; RT-PCR: nasal swab Reverse Transcriptase-Polymerase Chain Reaction for SARS-CoV-2; ICU: Intensive Care Unit Our proposal of the patient triage is based on a dedicated structural organization of the hospital, with availability of: 1) CT scan facility 24 hours a day; 2) isolation areas in the ED; 3) ICU, sub-intensive emergency ward and general ward dedicated to COVID-19; 4) intermediate wards were patients can be isolated in specific areas separated from other patients, waiting for the confirmation by RT-PCR; 5) general wards dedicated to negative patients with other diseases. LUS allows the diagnosis of COVID-19 pneumonia while swab RT-PCR allows confirmation of the SARS-CoV2 infection. Absence of signs of pneumonia at LUS cannot exclude that the patient carries the SARS-CoV2 anyway. General wards should be organized to maintain distance and test any admitted patient and also personnel to reduce the possibility of cross infections. (JPG 64kb) Figure_10. Flow chart for hospital flooding of patients with mild symptoms and no signs of respiratory failure. LUS: Lung Ultrasound; ED: Emergency Department; PCT: serum Procalcitonin; LC: Leukocyte Count; RT-PCR: nasal swab Reverse Transcriptase-Polymerase Chain Reaction for SARS-CoV-2; ICU: Intensive Care Unit (JPG 65 kb) Figure_11.Flow chart for hospital flooding of patients with exacerbation of symptoms of chronic cardiac or respiratory diseases. These are those patients with chronic heart failure, cor pulmonale, or any significant chronic respiratory disease. LUS: Lung Ultrasound; CT: Computed Tomography; ED: Emergency Department; RT-PCR: nasal swab Reverse Transcriptase-Polymerase Chain Reaction for SARS-CoV-2; ICU: Intensive Care Unit; PCT: serum Procalcitonin; LC: Leukocyte Count (JPG 47 kb) Supplementary file12 (LUS_TECHNIQUE.DOCX 13 kb) Video_1: Demonstration of the effect of “tilting”, that is the fine movement of the probe to change its angulation on the chest wall, on the correct visualization of the pleural line and other lung artifacts in a dorsal longitudinal scan (MOV 104255 kb) Video_2: The deleterious effect of changing the position of the focus on the visualization of vertical lung artifacts in the lung image (MOV 66650 kb) Video_3: Normal LUS pattern showing regular respiratory sliding and A-lines (MOV 92914 kb) Video_4: Separated multiple B-lines with regular respiratory sliding (MOV 33970 kb) Video_5: The “light beam” sign. This sign typically indicates acute ground glass alterations. The pleural line is regular, and the sign is an echoic band-like artifact moving rapidly with respiration. It is the most specific sign of pneumonia in COVID-19 (MOV 75982 kb) Video_6: Irregular pleural line with interstitial pattern (multiple separated B-lines and “light beam” area). This patient was confirmed COVID-19 (MOV 67858 kb) Video_7: Fragmented pleural line due to multiple small peripheral consolidations. This patient was confirmed COVID-19 (MOV 69993 kb) Video_8: Small peripheral consolidation. This patient was confirmed COVID-19 (MOV 69490 kb) Video_9: Large lobar consolidation with dynamic air bronchograms. This patient was confirmed COVID-19 and bacterial cross infection. (MOV 17025 kb) Video_10: Large pleural effusion with compressive atelectasis of the base of the lung, showing regular re-aeration during inspiration. This patient was diagnosed with lung cancer and negative COVID-19 swab (MOV 72874 kb) Video_11: Alternative LUS pattern in a patient with acute dyspnea suspected for COVID-19. Typical pulmonary edema pattern (Video 11) detected in the whole lung without the typical patchy distribution and combined with visualization of impairment of the left ventricle function (video 12) (MOV 70306 kb) Video_12: Parasternal long axis cardiac view in a patient with acute dyspnea suspected for COVID-19. Typical pulmonary edema pattern (Video 11) was combined with visualization of impairment of the left ventricle function (video 12) (MOV 59072 kb) Video_13: Alternative LUS pattern in a patient with acute dyspnea, fever and cough suspected for COVID-19. The video shows an isolated consolidation in the base of the lung with dynamic air bronchograms due to bacterial pneumonia. (MOV 16852 kb) Video_14: Alternative LUS pattern in a patient with acute dyspnea suspected for COVID-19. The video shows a massive pleural effusion and pericardial effusion that revealed to be hemorrhagic and neoplastic. (MOV 68008 kb) Video_15: Intermediate probability LUS pattern in a patient feverish without any respiratory symptom suspected for COVID-19. The video shows a focal isolated interstitial syndrome with multiple coalescent B-lines and a peripheral consolidation. Patient was then confirmed COVID-19 with radio-occult viral pneumonia (negative chest radiography) (MOV 69862 kb) Video_16: High probability LUS pattern in a 48 yo male complaining of fever and acute respiratory failure, suspected for COVID-19. The video shows typical “light beam” signs (also detected in patchy distribution in other areas in both lungs), well demarcated by contiguous “spared areas”. Patients was confirmed COVID-19. (MOV 71761 kb) Video_17: High probability LUS pattern in a 52 yo female complaining of fever and acute respiratory failure, suspected for COVID-19. The video shows typical “light beam” signs (also detected in patchy distribution in other areas in both lungs), well demarcated by contiguous “spared areas”. Patients was confirmed COVID-19. (MOV 72772 kb) Video_18: High probability LUS pattern in a 51 yo male complaining of fever and mild cough, suspected for COVID-19. The video shows typical “light beam” signs (also detected in patchy distribution in other areas in both lungs), well demarcated by contiguous “spared areas”. Patient was confirmed COVID-19. (MOV 11303 kb) Video_19: High probability LUS pattern in a 73 yo male complaining of fever and acute respiratory failure, suspected for COVID-19. The video shows typical “light beam” signs (also detected in patchy distribution in other areas in both lungs), well demarcated by contiguous “spared areas”. Patient was confirmed COVID-19. (MOV 11408 kb) Video_20: High probability LUS pattern in a 44 yo male complaining of fever and persistent cough, suspected for COVID-19. The video shows typical “light beam” signs (also detected in patchy distribution in other areas in both lungs), well demarcated by contiguous “spared areas”. Patient was confirmed COVID-19. (MOV 10935 kb) Video_21: High probaboility LUS pattern in a 82 yo female complaining of fever and acute respiratory failure, suspected for COVID-19. The video shows typical “light beam” signs (also detected in patchy distribution in other areas in both lungs), well demarcated by contiguous “spared areas”. Patient was confirmed COVID-19. (MOV 74699 kb) Video_22 : A critically ill patient with COVID-19 who unfortunately experienced sudden deterioration and cardiac arrest: the video shows thrombosis of the popliteal vein that was coupled with acute dilation of the right ventricle due to pulmonary embolism (video 23) (MOV 72866 kb) Video_23: The same patient of video 22 during the cardiac arrest: the video shows acute dilation of the right ventricle due to pulmonary embolism (see also video 22) (MOV 60161 kb) Video_Add_Convex1: This video shows a typical mild pattern with B-lines, light beam and a small peripheral consolidation from a patient with confirmed pneumonia from COVID-19(MOV 11030 kb) Video_Add_Linear1: This video shows the same area of Video_Add_Convex1 from a patient with confirmed pneumonia from COVID-19. In this case, it is evident the worse performance of the linear probe compared to a convex probe in imaging the intense B-line pattern with a small peripheral consolidation. (MOV 11654 kb) chest
  16 in total

Review 1.  International evidence-based recommendations for point-of-care lung ultrasound.

Authors:  Giovanni Volpicelli; Mahmoud Elbarbary; Michael Blaivas; Daniel A Lichtenstein; Gebhard Mathis; Andrew W Kirkpatrick; Lawrence Melniker; Luna Gargani; Vicki E Noble; Gabriele Via; Anthony Dean; James W Tsung; Gino Soldati; Roberto Copetti; Belaid Bouhemad; Angelika Reissig; Eustachio Agricola; Jean-Jacques Rouby; Charlotte Arbelot; Andrew Liteplo; Ashot Sargsyan; Fernando Silva; Richard Hoppmann; Raoul Breitkreutz; Armin Seibel; Luca Neri; Enrico Storti; Tomislav Petrovic
Journal:  Intensive Care Med       Date:  2012-03-06       Impact factor: 17.440

2.  CT Features of Coronavirus Disease 2019 (COVID-19) Pneumonia in 62 Patients in Wuhan, China.

Authors:  Shuchang Zhou; Yujin Wang; Tingting Zhu; Liming Xia
Journal:  AJR Am J Roentgenol       Date:  2020-03-05       Impact factor: 3.959

3.  The Novel Coronavirus Originating in Wuhan, China: Challenges for Global Health Governance.

Authors:  Alexandra L Phelan; Rebecca Katz; Lawrence O Gostin
Journal:  JAMA       Date:  2020-02-25       Impact factor: 56.272

4.  Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study.

Authors:  Wei Zhao; Zheng Zhong; Xingzhi Xie; Qizhi Yu; Jun Liu
Journal:  AJR Am J Roentgenol       Date:  2020-03-03       Impact factor: 3.959

5.  Quantitative lung ultrasonography: a putative new algorithm for automatic detection and quantification of B-lines.

Authors:  Claudia Brusasco; Gregorio Santori; Elisa Bruzzo; Rosella Trò; Chiara Robba; Guido Tavazzi; Fabio Guarracino; Francesco Forfori; Patrizia Boccacci; Francesco Corradi
Journal:  Crit Care       Date:  2019-08-28       Impact factor: 9.097

6.  Thrombotic events in SARS-CoV-2 patients: an urgent call for ultrasound screening.

Authors:  Guido Tavazzi; Luca Civardi; Luca Caneva; Silvia Mongodi; Francesco Mojoli
Journal:  Intensive Care Med       Date:  2020-04-22       Impact factor: 17.440

7.  Findings of lung ultrasonography of novel corona virus pneumonia during the 2019-2020 epidemic.

Authors:  Qian-Yi Peng; Xiao-Ting Wang; Li-Na Zhang
Journal:  Intensive Care Med       Date:  2020-03-12       Impact factor: 17.440

8.  COVID-19: a novel coronavirus and a novel challenge for critical care.

Authors:  Yaseen M Arabi; Srinivas Murthy; Steve Webb
Journal:  Intensive Care Med       Date:  2020-03-03       Impact factor: 17.440

9.  COVID-19 pneumonia: different respiratory treatments for different phenotypes?

Authors:  Luciano Gattinoni; Davide Chiumello; Pietro Caironi; Mattia Busana; Federica Romitti; Luca Brazzi; Luigi Camporota
Journal:  Intensive Care Med       Date:  2020-04-14       Impact factor: 17.440

10.  Critical care crisis and some recommendations during the COVID-19 epidemic in China.

Authors:  Jianfeng Xie; Zhaohui Tong; Xiangdong Guan; Bin Du; Haibo Qiu; Arthur S Slutsky
Journal:  Intensive Care Med       Date:  2020-03-02       Impact factor: 41.787

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1.  Lung Ultrasound: The Essentials.

Authors:  Thomas J Marini; Deborah J Rubens; Yu T Zhao; Justin Weis; Timothy P O'Connor; William H Novak; Katherine A Kaproth-Joslin
Journal:  Radiol Cardiothorac Imaging       Date:  2021-04-29

2.  Should point-of-care ultrasound become part of healthcare worker testing for COVID?

Authors:  Nicholas Smallwood; Andrew Walden; Prashant Parulekar; Martin Dachsel
Journal:  Clin Med (Lond)       Date:  2020-07-17       Impact factor: 2.659

3.  Point-of-Care Ultrasound Can Suggest COVID-19.

Authors:  Ossama Maadarani; Zouheir Bitar; Tamer Zaalouk; Mohammad Mohsen; Ragab Elshabasy
Journal:  Eur J Case Rep Intern Med       Date:  2020-08-25

4.  Point-of-care ultrasonography in the initial characterization of patients with COVID-19.

Authors:  Yale Tung-Chen; Ana Algora-Martín; Rafael Llamas-Fuentes; Pablo Rodríguez-Fuertes; Ana María Martínez Virto; Elena Sanz-Rodríguez; Blanca Alonso-Martínez; Maria Angélica Rivera Núñez
Journal:  Med Clin (Engl Ed)       Date:  2021-05-14

5.  Inter-observer reliability for different point-of-care lung ultrasound findings in mechanically ventilated critically ill COVID-19 patients.

Authors:  Alan Šustić; Marko Mirošević; Konstanty Szuldrzynski; Robert Marčun; Mehmed Haznadar; Matej Podbegar; Alen Protić
Journal:  J Clin Monit Comput       Date:  2021-05-29       Impact factor: 1.977

6.  Learning from the Italian experience during COVID-19 pandemic waves: be prepared and mind some crucial aspects.

Authors:  Cristian Deana; Serena Rovida; Daniele Orso; Tiziana Bove; Flavio Bassi; Amato De Monte; Luigi Vetrugno
Journal:  Acta Biomed       Date:  2021-05-12

7.  Comparison of lung ultrasonography findings with chest computed tomography results in coronavirus (COVID-19) pneumonia.

Authors:  Korgün Ökmen; Durdu Kahraman Yıldız; Emel Soyaslan
Journal:  J Med Ultrason (2001)       Date:  2021-02-26       Impact factor: 1.314

8.  Role of lung ultrasound for the etiological diagnosis of acute lower respiratory tract infection (ALRTI) in children: a prospective study.

Authors:  Danilo Buonsenso; Annamaria Musolino; Valentina Ferro; Cristina De Rose; Rosa Morello; Chiara Ventola; Flora Marzia Liotti; Rita De Sanctis; Antonio Chiaretti; Daniele Guerino Biasucci; Teresa Spanu; Maurizio Sanguinetti; Piero Valentini
Journal:  J Ultrasound       Date:  2021-06-19

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.  Lung ultrasound predicts clinical course but not outcome in COVID-19 ICU patients: a retrospective single-center analysis.

Authors:  Stephanie-Susanne Stecher; Sofia Anton; Alessia Fraccaroli; Jeremias Götschke; Hans Joachim Stemmler; Michaela Barnikel
Journal:  BMC Anesthesiol       Date:  2021-06-28       Impact factor: 2.217

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