Literature DB >> 32198775

Is There a Role for Lung Ultrasound During the COVID-19 Pandemic?

Gino Soldati1, Andrea Smargiassi2, Riccardo Inchingolo2, Danilo Buonsenso3, Tiziano Perrone4,5, Domenica Federica Briganti4,5, Stefano Perlini4,5, Elena Torri6, Alberto Mariani7, Elisa Eleonora Mossolani8, Francesco Tursi9, Federico Mento10, Libertario Demi10.   

Abstract

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Year:  2020        PMID: 32198775      PMCID: PMC7228238          DOI: 10.1002/jum.15284

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


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Lung ultrasound (LUS) has evolved considerably over the last years with respect to its theoretical and operative aspects. Consequently, its clinical application has come to be sufficiently known and widespread. One of the characteristic aspects of LUS is the ability to define the alterations affecting the ratio between tissue and air in the superficial lung.1 Normally, the lung surface mainly consists of air. Incident ultrasound (US) waves are thus generally completely back‐reflected by the visceral pleural plane, especially when healthy. In this context, the scattering of US waves produces artifactual images characterized by horizontal reverberations of the pleural line (A‐lines) and mirror effects. When the ratio between air, tissue, fluid, or other biological components is reduced, the lung no longer presents itself as an almost complete specular reflector. Hence, various types of localized vertical artifacts appear on the US images in relation to the alterations of the subpleural tissue.2, 3 These artifacts have generally been called B‐lines,4 but recently it has become clear that B‐lines are very heterogeneous in their appearance. Moreover, their heterogeneity may be exploited as a means to characterize the alterations of the lung surface.5 Another well‐known phenomenon linked to the increase in subpleural lung density (in the absence of consolidated tissue) is the coalescence of many vertical artifacts in more extended echogenic patterns, in which the individual artifacts are still recognizable or fused in a single homogeneous subpleural echogenic area (white lung). When the subpleural density goes toward the value of 1 g/mL (about that of the solid tissue), then consolidations appear. Therefore, the clinician, through the visual inspection of LUS images, can detect, at the subpleural level, nonconsolidative increases in the ratio between full (tissue) and empty (air) and assess them in a range between normal and consolidative. Topographic images of the lesions can also be acquired. Finally, the extent of these lesions on the lung surface, as well as their evolution or regression over time, can also be evaluated. The study of these patterns shows very high sensitivity in cases of interstitial and alveolar‐interstitial lung diseases, which have a peripheral distribution. Numerous studies on acute respiratory distress syndrome (ARDS)6 confirm this. Other studies related to the 2009 pandemic influenza A (H1N1) epidemic7 confirm these hypotheses even in a virally infectious setting. The recent pneumonia outbreak spreading from Wuhan, China, in December 2019 is caused by the 2019 novel coronavirus infection, defined as new coronavirus disease (COVID‐19).8 This epidemic currently involves many areas of the world, with particular incidence in Italy, representing a serious challenge to public health and the efficiency of the health care structures. The histopathologic appearance of initial COVID‐19 pneumonia is characterized by alveolar damage, which includes alveolar edema, while the inflammatory component is patchy and mild. Reparative processes with pneumocyte hyperplasia and interstitial thickening can occur. The advanced phases show gravitational consolidations similar to those of ARDS. There are hemorrhagic necrosis, alveolar congestion, edema, flaking, and fibrosis.9 An analysis of the available computed tomographic (CT) data from patients with COVID‐19 pneumonia10 shows largely bilateral lesions that are patchy and also confluent, appearing as ground glass or with a mixed consolidative and ground glass pattern. Ten percent of lesions with a crazy‐paving appearance are reported. The lesions often have a wedge‐like appearance with a pleural base. Major consolidations may show air bronchograms. Pleural effusion is absent. Patchy or confluent lesions tend to be distributed along the pleura. The lobe most frequently affected is the lower right lobe, followed by the upper and lower left lobes. The posterior lung is involved in 67% of cases.11 Given that LUS can identify changes in the physical state of superficial lung tissue, which correlate with histopathologic findings and can be identified on CT but remain hidden in a large percentage of chest radiographs, the role of LUS can be relevant in the context of the COVID‐19 epidemic. It should also not be underestimated that, in experimental models of ARDS, LUS has proved capable of detecting lung lesions before the development of hypoxemia. The current clinical evidence (although not yet represented in the literature), the theoretical bases of LUS in the aerated lung, and LUS findings of similar aspects in other diseases (ARDS and flu virus pneumonia) strongly suggest the potential diagnostic accuracy of LUS, which may be useful in the following situations: Triage (pneumonia/non‐pneumonia) of symptomatic patients at home as well as in the prehospital phase. Diagnostic suspicion and awareness in the emergency department setting. Prognostic stratification and monitoring of patients with pneumonia on the basis of the extension of specific patterns and their evolution toward the consolidation phase in the emergency department setting. Treatment of intensive care unit patients with regard to ventilation and weaning. Monitoring the effect of therapeutic measures (antiviral or others). Reducing the number of health care professionals exposed during patient stratification (a single clinician would be necessary to perform an objective medical examination and imaging investigation directly at the patient’s bed). From the current clinical evidence, we consider the LUS patterns of patients with COVID‐19 pneumonia quite characteristic. The first pulmonary manifestations are represented by a patchy distribution of interstitial artifactual signs (single and/or confluent vertical artifacts and small white lung regions). Subsequently, these patterns extend to multiple areas of the lung surface. The further evolution is represented by the appearance, still patchy, of small subpleural consolidations with associated areas of white lung. The evolution in consolidations, especially in a gravitational position, with or without air bronchograms, and their increasing extension along the lung surface indicate the evolution toward the phase of respiratory insufficiency that requires invasive ventilatory support. Figures 1 and 2 show the US characteristics of the interstitial syndrome present in intermediate COVID‐19 pneumonia. Early viral pneumonia shows few, usually bilateral, pulmonary lung areas characterized by single or bundled, pneumogenic‐type vertical artifacts, or small areas of white lung. Advanced COVID‐19 pneumonia shows evident consolidations, especially in the posterobasal regions, and widespread patchy artifactual changes. This pattern is similar to that of ARDS. In this context, the development of algorithms able to aid the clinician with a real‐time detection and localization system is of great interest.12
Figure 1

Top, Two images from a patient confirmed with COVID‐19 pneumonia. Typical vertical pneumogenic large artifacts originate from the pleural line or from small, blurred subpleural consolidations. Their origin is not point‐like. Bottom, The pleural line is interrupted by more visible yet small consolidations. Large vertical artifacts are seen arising from the consolidations, and they are superimposed on areas of white lung (convex transducer, intercostal scans).

Figure 2

Similar findings from a second patient confirmed with COVID‐19 pneumonia.

Top, Two images from a patient confirmed with COVID‐19 pneumonia. Typical vertical pneumogenic large artifacts originate from the pleural line or from small, blurred subpleural consolidations. Their origin is not point‐like. Bottom, The pleural line is interrupted by more visible yet small consolidations. Large vertical artifacts are seen arising from the consolidations, and they are superimposed on areas of white lung (convex transducer, intercostal scans). Similar findings from a second patient confirmed with COVID‐19 pneumonia. Studies aimed at clarifying the diagnostic and prognostic role of LUS in COVID‐19 are urgently needed. The well‐known advantages of LUS in terms of portability, bedside evaluations, safety, and the possibility of repeating the examination during follow‐up cannot be overlooked and should be exploited and implemented. Moreover, the possibility of performing a LUS examination at the bedside minimizes the need for transferring the patient, with a potential risk of further infection spreading among health care personnel. Comparison with chest radiography and/or a lung CT scan might help in designing a proper diagnostic workup according to the general and local technological and human resources. A suggested acquisition protocol is described below: Use convex or linear transducers. The latter are preferable to study the detail of the pleural and subpleural alterations. Use a single–focal point modality (no multifocusing), and set the focal point on the pleural line. Preferably, scans need to be intercostal (not orthogonal to the ribs) to cover the widest surface possible with a single scan. Evaluate the presence of the artifactual patterns in multiple areas and bilaterally to study the extent of the lung surface affected. Ideally, 16 areas in total should be evaluated: anterior midclavicular (apical, medial, and basal), right and left; posterior paraspinal (apical, medial, and basal), right and left; and lateral axillary (apical and basal), medial right and left.
  11 in total

1.  Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results.

Authors:  Ruud J G van Sloun; Libertario Demi
Journal:  IEEE J Biomed Health Inform       Date:  2019-08-19       Impact factor: 5.772

2.  The comet-tail artifact. An ultrasound sign of alveolar-interstitial syndrome.

Authors:  D Lichtenstein; G Mézière; P Biderman; A Gepner; O Barré
Journal:  Am J Respir Crit Care Med       Date:  1997-11       Impact factor: 21.405

3.  Lung ultrasonography may provide an indirect estimation of lung porosity and airspace geometry.

Authors:  Gino Soldati; Andrea Smargiassi; Riccardo Inchingolo; Sara Sher; Rosanna Nenna; Salvatore Valente; Cosimo Damiano Inchingolo; Giuseppe Maria Corbo
Journal:  Respiration       Date:  2014-11-05       Impact factor: 3.580

Review 4.  The role of ultrasound lung artifacts in the diagnosis of respiratory diseases.

Authors:  Gino Soldati; Marcello Demi; Andrea Smargiassi; Riccardo Inchingolo; Libertario Demi
Journal:  Expert Rev Respir Med       Date:  2019-01-10       Impact factor: 3.772

5.  Early recognition of the 2009 pandemic influenza A (H1N1) pneumonia by chest ultrasound.

Authors:  Americo Testa; Gino Soldati; Roberto Copetti; Rosangela Giannuzzi; Grazia Portale; Nicolò Gentiloni-Silveri
Journal:  Crit Care       Date:  2012-02-17       Impact factor: 9.097

6.  Pulmonary ultrasound and pulse oximetry versus chest radiography and arterial blood gas analysis for the diagnosis of acute respiratory distress syndrome: a pilot study.

Authors:  Cameron M Bass; Dana R Sajed; Adeyinka A Adedipe; T Eoin West
Journal:  Crit Care       Date:  2015-07-21       Impact factor: 9.097

7.  Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection.

Authors:  Adam Bernheim; Xueyan Mei; Mingqian Huang; Yang Yang; Zahi A Fayad; Ning Zhang; Kaiyue Diao; Bin Lin; Xiqi Zhu; Kunwei Li; Shaolin Li; Hong Shan; Adam Jacobi; Michael Chung
Journal:  Radiology       Date:  2020-02-20       Impact factor: 11.105

8.  Chest Radiographic and CT Findings of the 2019 Novel Coronavirus Disease (COVID-19): Analysis of Nine Patients Treated in Korea.

Authors:  Soon Ho Yoon; Kyung Hee Lee; Jin Yong Kim; Young Kyung Lee; Hongseok Ko; Ki Hwan Kim; Chang Min Park; Yun Hyeon Kim
Journal:  Korean J Radiol       Date:  2019-02-26       Impact factor: 3.500

9.  A Novel Coronavirus from Patients with Pneumonia in China, 2019.

Authors:  Na Zhu; Dingyu Zhang; Wenling Wang; Xingwang Li; Bo Yang; Jingdong Song; Xiang Zhao; Baoying Huang; Weifeng Shi; Roujian Lu; Peihua Niu; Faxian Zhan; Xuejun Ma; Dayan Wang; Wenbo Xu; Guizhen Wu; George F Gao; Wenjie Tan
Journal:  N Engl J Med       Date:  2020-01-24       Impact factor: 91.245

10.  Pulmonary Pathology of Early-Phase 2019 Novel Coronavirus (COVID-19) Pneumonia in Two Patients With Lung Cancer.

Authors:  Sufang Tian; Weidong Hu; Li Niu; Huan Liu; Haibo Xu; Shu-Yuan Xiao
Journal:  J Thorac Oncol       Date:  2020-02-28       Impact factor: 15.609

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  144 in total

Review 1.  Radiological approach to COVID-19 pneumonia with an emphasis on chest CT.

Authors:  Serkan Güneyli; Zeynep Atçeken; Hakan Doğan; Emre Altınmakas; Kayhan Çetin Atasoy
Journal:  Diagn Interv Radiol       Date:  2020-07       Impact factor: 2.630

Review 2.  Point of Care Ultrasound in Coronavirus Disease 2019 Pandemic: One Modality Helping Multiple Specialties.

Authors:  Sangam Yadav; Abhishek Singh; Kalung Manisha; Puneet Khanna
Journal:  J Med Ultrasound       Date:  2021-03-20

3.  Lung Ultrasound to Predict Unfavorable Progress in Patients Hospitalized for COVID-19.

Authors:  Cristina Ramos Hernández; Maribel Botana Rial; Luis Alberto Pazos Area; Marta Núñez Fernández; Silvia Pérez Fernández; Martín Rubianes González; Manuel Crespo Casal; Alberto Fernández Villar
Journal:  Arch Bronconeumol       Date:  2020-09-21       Impact factor: 4.872

Review 4.  Clinical, molecular, and epidemiological characterization of the SARS-CoV-2 virus and the Coronavirus Disease 2019 (COVID-19), a comprehensive literature review.

Authors:  Esteban Ortiz-Prado; Katherine Simbaña-Rivera; Lenin Gómez-Barreno; Mario Rubio-Neira; Linda P Guaman; Nikolaos C Kyriakidis; Claire Muslin; Ana María Gómez Jaramillo; Carlos Barba-Ostria; Doménica Cevallos-Robalino; Hugo Sanches-SanMiguel; Luis Unigarro; Rasa Zalakeviciute; Naomi Gadian; Andrés López-Cortés
Journal:  Diagn Microbiol Infect Dis       Date:  2020-05-30       Impact factor: 2.803

5.  The management of surgical patients in the emergency setting during COVID-19 pandemic: the WSES position paper.

Authors:  Belinda De Simone; Elie Chouillard; Massimo Sartelli; Walter L Biffl; Salomone Di Saverio; Ernest E Moore; Yoram Kluger; Fikri M Abu-Zidan; Luca Ansaloni; Federico Coccolini; Ari Leppänemi; Andrew B Peitzmann; Leonardo Pagani; Gustavo P Fraga; Ciro Paolillo; Edoardo Picetti; Massimo Valentino; Emmanouil Pikoulis; Gian Luca Baiocchi; Fausto Catena
Journal:  World J Emerg Surg       Date:  2021-03-22       Impact factor: 5.469

6.  Inpatient Care during the COVID-19 Pandemic: A Survey of Italian Physicians.

Authors:  Marina Attanasi; Simone Pasini; Antonio Caronni; Giulia Michela Pellegrino; Paola Faverio; Sabrina Di Pillo; Matteo Maria Cimino; Giuseppe Cipolla; Francesco Chiarelli; Stefano Centanni; Giuseppe Francesco Sferrazza Papa
Journal:  Respiration       Date:  2020-08-05       Impact factor: 3.580

Review 7.  Multisystem Imaging Manifestations of COVID-19, Part 1: Viral Pathogenesis and Pulmonary and Vascular System Complications.

Authors:  Margarita V Revzin; Sarah Raza; Robin Warshawsky; Catherine D'Agostino; Neil C Srivastava; Anna S Bader; Ajay Malhotra; Ritesh D Patel; Kan Chen; Christopher Kyriakakos; John S Pellerito
Journal:  Radiographics       Date:  2020-10       Impact factor: 5.333

Review 8.  A systematic review of chest imaging findings in COVID-19.

Authors:  Zhonghua Sun; Nan Zhang; Yu Li; Xunhua Xu
Journal:  Quant Imaging Med Surg       Date:  2020-05

9.  The emerging role of lung ultrasound in COVID-19 pneumonia.

Authors:  Gemma Lepri; Martina Orlandi; Chiara Lazzeri; Cosimo Bruni; Michael Hughes; Manuela Bonizzoli; Yukai Wang; Adriano Peris; Marco Matucci-Cerinic
Journal:  Eur J Rheumatol       Date:  2020-05-07

10.  Quantitative Analysis and Automated Lung Ultrasound Scoring for Evaluating COVID-19 Pneumonia With Neural Networks.

Authors:  Jiangang Chen; Chao He; Jintao Yin; Jiawei Li; Xiaoqian Duan; Yucheng Cao; Li Sun; Menghan Hu; Wenfang Li; Qingli Li
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-06-29       Impact factor: 2.725

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