Lung ultrasound is still a relatively new technology, albeit one that has rapidly grown in popularity since the initial description of ultrasonographic evaluation of the pleura in the 1960s (1) and of the lung parenchyma in the 1980s (2). Lung ultrasound facilitates rapid bedside assessment by a clinician, augments the physical exam, and offers superior diagnostic accuracy than a chest radiograph for certain conditions (3-6). Since air scatters sound waves, much of lung ultrasound involves the evaluation of visual artifacts resulting from sonographic data processing. The slight movement of the visceral pleura against the parietal pleura creates a shimmering appearance on the screen that has been described as “lung sliding”, and effectively rules out a pneumothorax or pleural effusion at the site of examination. The faint reverberations between the skin and the mirror-like reflector of the pleura cause the machine to display repeating horizontal lines as the delayed return of sound waves create the impression that multiple pleural interfaces exist at regular depth intervals. These “A line” artifacts confirm the presence of air, dramatically decreasing the likelihood of a consolidation or pulmonary edema at that location. Fluid in the alveoli or interstitial thickening cause a different reverberation artifact, with the sound waves trapped within the small diameter of an alveolus creating a laser-like vertical “B line” from the pleural surface (7).
In animal studies B lines correlate well with areas of increased extravascular lung fluid, and lung ultrasound images have excellent correlation with computed tomography (CT) scan findings in humans (3,8). There are, however, some significant limitations to lung ultrasound. Visualization of pleura and lung parenchyma may be impaired by shadowing from ribs, and the patient must be positioned appropriately to evaluate all of the lung fields recommended by the international consensus statement on lung ultrasound (9). While B lines are very easy to capture and count (10), identifying the varying pathophysiological conditions that result in subtle differences in B line appearance is still an art under development (11). Also, lung ultrasound can only detect pathology that reaches the lung periphery, since even a thin layer of normal lung parenchyma (or pneumothorax) will completely scatter the sound waves before allowing visualization of any deeper findings (8). Despite these limitations, the richness of data rapidly attained at the bedside with lung ultrasound is exciting.
Lung ultrasound offers a variety of advantages, especially when integrated into the bedside evaluation of patients and combined with other ultrasound examinations (12). Unlike chest radiography and CT, there is no ionizing radiation exposure, and use of lung ultrasound may reduce the use of these other imaging techniques (13,14). Furthermore, increasing evidence supports superior diagnostic performance of lung ultrasound over chest radiography, such as when evaluating a pleural effusion (15), ruling out a pneumothorax in trauma (4), differentiating volume overload from an exacerbation of obstructive lung disease (16), or diagnosing pneumonia (17). The list of diseases that can be readily evaluated with lung ultrasound continues to expand, and now includes interstitial lung diseases (18), postoperative atelectasis (19), and diffuse alveolar hemorrhage (20). A selection of conditions that can be identified by lung ultrasound is shown in the Table 1. In settings such as the emergency department or the intensive care unit the real-time information provided can be very useful for urgent clinical decision-making. As a battery powered, portable, durable, and versatile tool, lung ultrasound can serve as a useful diagnostic modality in a wide range of clinical environments, including those where resources are limited (22).
Table 1. Selected pleuro-pulmonary conditions detectable by lung ultrasound.
Disorder | Lung ultrasound findings | Reported performance | References |
---|---|---|---|
Pneumothorax | Absence of lung sliding, absence of B lines, lung point | Sensitivity: 89% [88–91], specificity: 99% [98–99], diagnostic OR: 993 | (4) |
Pleural effusion | Anechoic fluid with posterior acoustic shadowing above diaphragm | Sensitivity: 93% [89–96], specificity: 96% [95–98] | (21) |
Pneumonia | B’ profile, A/B profile, consolidation, irregular pleural surface, dynamic air bronchograms | Sensitivity: 94% [89–96], specificity: 96% [94–97], + LR: 16.8 (7.7–370), − LR: 0.07 (0.05–0.10) | (5,17) |
COPD/asthma | A profile with lung sliding | Sensitivity: 89%, specificity: 97% | (5) |
Pulmonary edema | Diffuse B lines with intact lung sliding | Sensitivity: 93% [82–98], specificity: 89% [79–95] | (16) |
ARDS | Heterogeneous B lines, ± lung sliding, subpleural consolidation | Sensitivity: 93–98%, specificity:78–100% | (3,5) |
Interstitial lung disease | B lines in affected zones, B-7 for fibrosis, B-3 for ground glass | Unknown | (18) |
OR, odds ratio; LR, likelihood ratio; ARDS, acute respiratory distress syndrome.
The evaluation of the patient suffering from the acute respiratory distress syndrome (ARDS) is of particular interest in light of the high mortality associated with this condition. The original description of the ultrasonographic appearance of ARDS by Lichtenstein described diffuse B line artifacts, which unfortunately overlapped with the appearance of cardiogenic pulmonary edema (5). This problem is not unique to ultrasound, as the radiographic pattern of ARDS on chest radiograph is also indistinguishable from cardiogenic pulmonary edema. While this can create challenges in the use of lung ultrasound to diagnose ARDS (23), there are certain findings that may allow the skilled user to distinguish the two entities (24). Lung ultrasound may also inform epidemiological investigations of the prevalence of ARDS in locations where radiography or CT is not available or easily accessible (25).
A large multi-center trial showed that prone positioning decreases mortality in ARDS (26). While prone positioning is also known to improve oxygenation in ARDS, the actual mechanism of improvement in mortality is not clearly understood (27). Theoretically, the bulk of the benefit comes from aeration of atelectatic portions of the lung that are recruited when no longer gravitationally dependent. Identifying which patients would benefit most from prone positioning would be advantageous. Currently, the gold standard for assessing regional atelectasis is a CT scan, but it is limited by costs, risks of transportation, and radiation exposure. In a recent study, Haddam et al. evaluated whether lung ultrasound could predict which patients with ARDS would most improve their gas exchange after prone positioning (28). They serially evaluated the lung abnormalities seen on ultrasound in each of 12 lung zones before, during, and after prone positioning in order to calculate discrete regional and global aeration scores at each timepoint, change in discrete scores (reaeration scores) with change in positioning, and to categorize patients with focal ARDS. The authors found that there was no correlation between aeration scores at baseline or in the reaeration scores with an oxygenation response after prone positioning. Furthermore, there were no differences in global reaeration scores based on the focal or non-focal distribution of ARDS.
There are several possible explanations for these null associations. First, the scoring system used may be problematic for the specific question addressed, as B lines—which, along with sonographic evidence of dense consolidation, were used to reflect increasingly abnormal lung parenchyma—are reflective of a diverse set of pathologies including pulmonary edema, pneumonia, or multiple processes other than atelectasis (7). Second, changes in the appearance of B lines, which would alter the reaeration score, could be due to changes in aeration, hyper-aeration, or extra-vascular lung fluid. Third, although lung ultrasound has been shown to correlate well with CT findings in ARDS (3), it can be challenging to define focal or diffuse patterns, especially if the pathology does not reach the periphery. Fourth, since the authors used the highest lung score for each of the 12 lung zones they evaluated, even a diffuse pattern may include considerable heterogeneity, as reported in previous studies of lung ultrasound and ARDS (24). Finally, even if lung ultrasound successfully detected changes in aeration, prior studies utilizing CT have shown that aeration changes are not sufficient to identify which patients will have improvements in gas exchange (29).
The results of the study suggest that the mechanism for improvement in gas exchange with prone positioning is a complex process involving both perfusion and aeration—as has been suggested by other analyses of the physiologic mechanisms in play during prone positioning—not simply reaeration of previously dependent tissue alone (30). Perhaps more importantly, the study continues the important process of defining the utility and performance of ultrasound in the evaluation of specific clinical questions about lung disease. In the future this will allow more effective studies to be performed in circumstances where radiography and CT imaging are not available or feasible.
A remaining challenge is how best to integrate lung ultrasonography into clinical practice. While several studies have demonstrated the diagnostic utility of lung ultrasound, using the modality to predict clinical responses—such as in the study by Haddam et al.—may be more difficult. Presently there is marked variability in the clinical utilization of lung ultrasound, ranging from extensive sonographic examinations of patients with respiratory symptoms to use of the tool only for procedural guidance. Notably, in contrast to many technological advances in medicine, lung ultrasound may increase the amount of time that the clinician spends with the patient. This secondary effect may result in additional benefits. Overall, the portability, real-time information provided, and absence of radiation of the modality, along with decreasing costs and ongoing improvements in the technology, increase the likelihood that lung ultrasound will become an essential tool for the evaluation of pulmonary disease in the years ahead.
Acknowledgements
None.
Provenance: This is an invited Commentary commissioned by the Section Editor Zhiheng Xu (State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Disease, Department of Intensive Care, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China).
Conflicts of Interest: The authors have no conflicts of interest to declare.
References
- 1.Joyner CR, Jr, Herman RJ, Reid JM. Reflected ultrasound in the detection and localization of pleural effusion. JAMA 1967;200:399-402. 10.1001/jama.1967.03120180087013 [DOI] [PubMed] [Google Scholar]
- 2.Dorne HL. Differentiation of pulmonary parenchymal consolidation from pleural disease using the sonographic fluid bronchogram. Radiology 1986;158:41-2. 10.1148/radiology.158.1.3510027 [DOI] [PubMed] [Google Scholar]
- 3.Lichtenstein D, Goldstein I, Mourgeon E, et al. Comparative diagnostic performances of auscultation, chest radiography, and lung ultrasonography in acute respiratory distress syndrome. Anesthesiology 2004;100:9-15. 10.1097/00000542-200401000-00006 [DOI] [PubMed] [Google Scholar]
- 4.Ding W, Shen Y, Yang J, et al. Diagnosis of pneumothorax by radiography and ultrasonography: a meta-analysis. Chest 2011;140:859-66. 10.1378/chest.10-2946 [DOI] [PubMed] [Google Scholar]
- 5.Lichtenstein DA, Mezière GA. Relevance of lung ultrasound in the diagnosis of acute respiratory failure: the BLUE protocol. Chest 2008;134:117-25. 10.1378/chest.07-2800 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Martindale JL, Noble VE, Liteplo A. Diagnosing pulmonary edema: lung ultrasound versus chest radiography. Eur J Emerg Med 2013;20:356-60. 10.1097/MEJ.0b013e32835c2b88 [DOI] [PubMed] [Google Scholar]
- 7.Lichtenstein D, Mézière G, Biderman P, et al. The comet-tail artifact. An ultrasound sign of alveolar-interstitial syndrome. Am J Respir Crit Care Med 1997;156:1640-6. 10.1164/ajrccm.156.5.96-07096 [DOI] [PubMed] [Google Scholar]
- 8.Ma H, Huang D, Zhang M, et al. Lung ultrasound is a reliable method for evaluating extravascular lung water volume in rodents. BMC Anesthesiol 2015;15:162. 10.1186/s12871-015-0146-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Volpicelli G, Elbarbary M, Blaivas M, et al. International evidence-based recommendations for point-of-care lung ultrasound. Intensive Care Med 2012;38:577-91. 10.1007/s00134-012-2513-4 [DOI] [PubMed] [Google Scholar]
- 10.Bedetti G, Gargani L, Corbisiero A, et al. Evaluation of ultrasound lung comets by hand-held echocardiography. Cardiovasc Ultrasound 2006;4:34. 10.1186/1476-7120-4-34 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Lichtenstein DA. Lung ultrasound in the critically ill. Ann Intensive Care 2014;4:1. 10.1186/2110-5820-4-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Manno E, Navarra M, Faccio L, et al. Deep impact of ultrasound in the intensive care unit: the "ICU-sound" protocol. Anesthesiology 2012;117:801-9. 10.1097/ALN.0b013e318264c621 [DOI] [PubMed] [Google Scholar]
- 13.Peris A, Tutino L, Zagli G, et al. The use of point-of-care bedside lung ultrasound significantly reduces the number of radiographs and computed tomography scans in critically ill patients. Anesth Analg 2010;111:687-92. 10.1213/ANE.0b013e3181e7cc42 [DOI] [PubMed] [Google Scholar]
- 14.Jones BP, Tay ET, Elikashvili I, et al. Feasibility and Safety of Substituting Lung Ultrasonography for Chest Radiography When Diagnosing Pneumonia in Children: A Randomized Controlled Trial. Chest 2016;150:131-8. 10.1016/j.chest.2016.02.643 [DOI] [PubMed] [Google Scholar]
- 15.Vignon P, Chastagner C, Berkane V, et al. Quantitative assessment of pleural effusion in critically ill patients by means of ultrasonography. Crit Care Med 2005;33:1757-63. 10.1097/01.CCM.0000171532.02639.08 [DOI] [PubMed] [Google Scholar]
- 16.Al Deeb M, Barbic S, Featherstone R, et al. Point-of-care ultrasonography for the diagnosis of acute cardiogenic pulmonary edema in patients presenting with acute dyspnea: a systematic review and meta-analysis. Acad Emerg Med 2014;21:843-52. 10.1111/acem.12435 [DOI] [PubMed] [Google Scholar]
- 17.Chavez MA, Shams N, Ellington LE, et al. Lung ultrasound for the diagnosis of pneumonia in adults: a systematic review and meta-analysis. Respir Res 2014;15:50. 10.1186/1465-9921-15-50 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Hasan AA, Makhlouf HA. B-lines: Transthoracic chest ultrasound signs useful in assessment of interstitial lung diseases. Ann Thorac Med 2014;9:99-103. 10.4103/1817-1737.128856 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Monastesse A, Girard F, Massicotte N, et al. Lung Ultrasonography for the Assessment of Perioperative Atelectasis: A Pilot Feasibility Study. Anesth Analg 2016. [Epub ahead of print]. 10.1213/ANE.0000000000001603 [DOI] [PubMed] [Google Scholar]
- 20.Buda N, Masiak A, Smoleńska Ż, et al. Serial Lung Ultrasonography to Monitor Patient With Diffuse Alveolar Hemorhage. Ultrasound Q 2016. [Epub ahead of print]. 10.1097/RUQ.0000000000000259 [DOI] [PubMed] [Google Scholar]
- 21.Grimberg A, Shigueoka DC, Atallah AN, et al. Diagnostic accuracy of sonography for pleural effusion: systematic review. Sao Paulo Med J 2010;128:90-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Sippel S, Muruganandan K, Levine A, et al. Review article: Use of ultrasound in the developing world. Int J Emerg Med 2011;4:72. 10.1186/1865-1380-4-72 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Bass CM, Sajed DR, Adedipe AA, et al. Pulmonary ultrasound and pulse oximetry versus chest radiography and arterial blood gas analysis for the diagnosis of acute respiratory distress syndrome: a pilot study. Crit Care 2015;19:282. 10.1186/s13054-015-0995-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Copetti R, Soldati G, Copetti P. Chest sonography: a useful tool to differentiate acute cardiogenic pulmonary edema from acute respiratory distress syndrome. Cardiovasc Ultrasound 2008;6:16. 10.1186/1476-7120-6-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Riviello ED, Kiviri W, Twagirumugabe T, et al. Hospital Incidence and Outcomes of the Acute Respiratory Distress Syndrome Using the Kigali Modification of the Berlin Definition. Am J Respir Crit Care Med 2016;193:52-9. 10.1164/rccm.201503-0584OC [DOI] [PubMed] [Google Scholar]
- 26.Guérin C, Reignier J, Richard JC, et al. Prone positioning in severe acute respiratory distress syndrome. N Engl J Med 2013;368:2159-68. 10.1056/NEJMoa1214103 [DOI] [PubMed] [Google Scholar]
- 27.Guerin C, Baboi L, Richard JC. Mechanisms of the effects of prone positioning in acute respiratory distress syndrome. Intensive Care Med 2014;40:1634-42. 10.1007/s00134-014-3500-8 [DOI] [PubMed] [Google Scholar]
- 28.Haddam M, Zieleskiewicz L, Perbet S, et al. Lung ultrasonography for assessment of oxygenation response to prone position ventilation in ARDS. Intensive Care Med 2016;42:1546-56. 10.1007/s00134-016-4411-7 [DOI] [PubMed] [Google Scholar]
- 29.Papazian L, Paladini MH, Bregeon F, et al. Can the tomographic aspect characteristics of patients presenting with acute respiratory distress syndrome predict improvement in oxygenation-related response to the prone position? Anesthesiology 2002;97:599-607. 10.1097/00000542-200209000-00013 [DOI] [PubMed] [Google Scholar]
- 30.Gattinoni L, Carlesso E, Taccone P, et al. Prone positioning improves survival in severe ARDS: a pathophysiologic review and individual patient meta-analysis. Minerva Anestesiol 2010;76:448-54. [PubMed] [Google Scholar]