|Year : 2022 | Volume
| Issue : 2 | Page : 94-100
Diagnostic accuracy of bedside lung ultrasound in emergency protocol for the diagnosis of acute respiratory failure
S Chaitra, Virupaxi V Hattiholi
Department of Radio-diagnosis, Jawaharlal Nehru Medical College, Belgaum, Karnataka, India
|Date of Submission||29-Jan-2021|
|Date of Decision||13-May-2021|
|Date of Acceptance||09-Jun-2021|
|Date of Web Publication||31-Aug-2021|
Dr. Virupaxi V Hattiholi
Department of Radio-diagnosis, Jawaharlal Nehru Medical College, Nehru Nagar, Belgaum - 590 010, Karnataka
Source of Support: None, Conflict of Interest: None
Background: The multifactorial etiology of acute respiratory failure (ARF) often complicates diagnosis at an early stage of clinical presentation. Despite being a common life-threatening disorder, accurate and timely diagnosis is hindered by bad quality of bedside radiographs and nonavailability of immediate computed tomography imaging. This study was an attempt to evaluate the diagnostic accuracy of ultrasound in diagnosing ARF. Methods: This hospital-based cross-sectional study investigated the underlying etiological factor in 130 patients presenting with ARF and admitted to the intensive care unit. Lung ultrasound was performed according to the Bedside Lung Ultrasound in Emergency (BLUE) protocol. The diagnostic accuracy of lung ultrasound by emergency protocol was measured against each final diagnosis. Results: The mean age observed was 49.28 ± 14.9 years among the cohort. Of the 130 patients, pneumonia was the most common cause of ARF, seen in 42 patients. Breathlessness (56.15%) and fever accompanied by cough (25.38%) were the chief complaints. Diagnostic accuracy of ultrasound lung emergency protocol was 95.38% in the diagnosis of pulmonary edema, 100% for pneumothorax, 93.85% for pneumonia, 96.92% for chronic obstructive pulmonary disease, 99.23% for pulmonary thromboembolism, and 95.38% for acute respiratory distress syndrome. Conclusion: Lung ultrasound is a reliable modality that provided accurate and timely diagnosis of ARF in this study. Therefore, BLUE protocol is feasible, easily implementable in the intensive care unit, and must be scaled up in respiratory health-care settings.
Keywords: Adult respiratory distress syndrome, intensive care units, lung ultrasonography
|How to cite this article:|
Chaitra S, Hattiholi VV. Diagnostic accuracy of bedside lung ultrasound in emergency protocol for the diagnosis of acute respiratory failure. J Med Ultrasound 2022;30:94-100
|How to cite this URL:|
Chaitra S, Hattiholi VV. Diagnostic accuracy of bedside lung ultrasound in emergency protocol for the diagnosis of acute respiratory failure. J Med Ultrasound [serial online] 2022 [cited 2022 Jul 3];30:94-100. Available from: http://www.jmuonline.org/text.asp?2022/30/2/94/325216
| Introduction|| |
Acute respiratory failure (ARF) is a life-threatening condition and continues to be one of the leading factors for admission of patients to intensive care unit (ICU)., The in-hospital mortality due to ARF was 33%–37%, and the associated health-care expenses were as high as US$54 billion annually in the US alone., ARF is a key symptom of most cardiac and respiratory diseases such as cardiogenic pulmonary edema, chronic obstructive pulmonary disease (COPD), community-acquired pneumonia and pulmonary embolism which themselves are associated with poor prognosis.
The imaging technicalities incompatible with the ICU infrastructure along with the inconvenience caused to patients during chest radiography highlight the need for an alternative. Bedside lung ultrasound as a point of care diagnostic is non-invasive, easily repeatable, widely available, and suitable for the ICU environment. Bedside Lung Ultrasound in Emergency (BLUE) protocol described by Lichtenstein and Meziere is becoming an emerging tool in critical care that can complement clinical evaluation, showing great promise especially for the dyspneic or hypoxemic patients. By drastically curtailing the diagnosis time and providing clear evidence, the BLUE protocol can augment a diagnostician's decision-making during exigencies.
Considering the multifarious nature of ARF and the vacuum in literature pertaining to efficiency and relevance of the BLUE protocol in a sizeable local population in India, this study was designed. The primary objective of this study was to establish diagnostic accuracy of bedside thoracic ultrasound in pulmonary edema, pneumothorax, COPD/asthma, pulmonary thromboembolism, pneumonia, and adult respiratory distress syndrome (ARDS). In addition to which, parameters such as sensitivity, specificity, predictive values, and area under receiver operating characteristic (ROC) plot were also assessed.
| Methods|| |
This 1-year cross-sectional study was conducted at the department of radiodiagnosis in a tertiary care hospital and medical research center from January 2017 to December 2017. Patients above 18 years of age admitted to ICU with ARF were included in the study. ARF is clinically characterized by a respiratory rate above 30 breaths/min or PaO2 <55 mm Hg or oxygen saturation <92% with pulse oximeter or PaCO2 >45 mm Hg with an arterial pH <7.3. Exclusion criteria included patients with ARF of unusual etiology including chronic diffuse interstitial disease, fat embolism, tracheal stenosis, unidentified diagnosis posthospitalization, progression preventing conclusion, proven lung malignancy, and having required intubation before admission. A total of 130 patients fulfilling the selection criteria were studied. The calculated sample size was based on the prevalence rate of 28% for ARF among patients consecutively admitted to the ICU, in the 3 years preceding the study. Thus, a sample size of 130 subjects was obtained for this study. The ethical clearance was obtained from the institutional ethics committee (approval no. MDC/DOME/75 obtained on Oct. 17th, 2016), before the initiation of the study. Written informed consent was acquired from patients or patient's relatives.
The baseline data were recorded using a pro forma by a single observer to oversee the study. Clinical diagnosis was conducted by the ICU personnel, based on a respiratory rate exceeding 30 breaths per min with deranged arterial blood gases. Laboratory tests such as TLC and blood culture were done to assess the infectious profile. Ultrasonography (USG) of the lungs was performed using a linear and curvilinear probe of ALPINON ECUBE i7 machine with patients in a semirecumbent position, or supine if intubated. In the case of dyspneic patients, an emergency ultrasound protocol was conducted to diagnose ARF and included a venous analysis in appropriate cases.
The ultrasound areas included in the BLUE protocol in a supine patient are the anterior chest wall (zone 1), lateral wall (zone 2), and posterolateral chest wall (zone 3) using a short probe, by moving the patient only minimally. Six areas of investigation are derived as each wall consists of upper and lower halves. The BLUE-protocol connects signs and associates them with a specific location, thereby culminating in seven profiles, namely, A-profile, A'-profile, B-profile, B'-profile, C-profile, A/B-profile, and PLAPS-profile. The A-profile associates anterior lung-sliding with A-lines. The A'-profile is an A-profile with abolished lung-sliding. The B-profile associates anterior lung sliding with lung rockets. The B'-profile is a B-profile with abolished lung sliding. The C-profile indicates lung consolidation. The A/B profile is a half A-profile at one lung, a half B-profile at another. The PLAPS-profile connotes posterolateral alveolar and/or pleural syndrome. The B-profile (anterior interstitial disease and lung sliding) indicates pulmonary edema, whereas the B'-profile (lung sliding abolished) indicates pneumonia. The A/B profile (asymmetric anterior interstitial syndrome) and the C-profile (anterior consolidation) indicate pneumonia, as does the A-profile plus PLAPS. The A profile plus venous thrombosis indicates pulmonary embolism. A normal profile indicates COPD/asthma. Conclusive diagnosis for all patients was established by clinical and radiological (computed tomography) examinations which is considered to be the gold standard for ARF and investigative (infectious profile, COPD by functional tests) data. A radiologist with considerable experience compared the lung USG findings with the final diagnosis made by ICU team before the patient was discharged.
Diagnostic criteria for different types of acute respiratory failure
Two distinct criteria of the ultrasound profile were employed to detect pulmonary edema; criterion 1 consisted of observance of bilateral B3 lines and absence of lung sliding, and criterion 2 consisted of observance bilateral B3 lines and presence of lung sliding.,, With regard to detection of pneumothorax, three distinct criteria of the ultrasound profile were employed; criterion 1 consisted of absence of lung sliding, presence of A line, barcode sign, and lung point, criterion 2 consisted of absence of lung sliding, presence of A line, and barcode sign, and criteria 3 consisted of absence of lung sliding and presence of A line.,, In regard to detection of COPD/asthma, two distinct criteria of the ultrasound profile were employed; criterion 1 consisted of observance of lung sliding and bilateral A lines, whereas criterion 2 consisted of absence of bilateral lung sliding and presence of bilateral A line.,, In the case of pulmonary thromboembolism, a single distinct criterion of the ultrasound profile was employed; criterion 1 consisted of observance bilateral A Lines, bilateral lung sliding, and deep venous thrombosis.,, For detecting pneumonia, four distinct criteria of the ultrasound profile were employed; criterion 1 consisted of presence of B7 lines, absence of consolidation, and presence of lung sliding; criterion 2 consisted of presence of B7 lines, absence of consolidation, and absence of lung sliding; criteria 3 consisted of observance of consolidation and B7 lines; and criterion 4 consisted of observance of consolidation, bilateral A line, and absence of B lines.,, In reference to diagnosis of ARDS, two distinct criteria of the ultrasound profile were employed; criterion 1 consisted of observance of bilateral lung sliding and bilateral B3 lines, whereas criterion 2 consisted of bilateral lung sliding, bilateral B3 lines, and consolidation.,,
Statistical analysis of the collected datasets was done using R software version 3.6.1 and Microsoft Excel. Categorical variables were expressed in the form of frequencies. Continuous variables were presented as mean ± standard deviation values. The standard criteria for various respiratory disorders were compared using sensitivity, specificity, area under ROC curve, and diagnostic accuracy.
| Results|| |
Out of the 130 enrolled patients, 83 were male. The mean age was 49.28 ± 14.9 years among the cohort of 46.70–51.87 years. Breathlessness was the chief complaint (56.15%) followed by cough with fever (25.38%). Other ancillary symptoms noted include cough (7.69%), cough with breathlessness (6.15%), cough with sputum (1.54%), fever with breathlessness (1.54%), fever (0.77%), and hemoptysis (0.77%). Pneumonia was the most common cause of ARF observed in this study, followed by pulmonary edema, COPD/Asthma, pneumothorax, pulmonary thromboembolism, and ARDS.
Subjects with criteria 2 were 6.87 times more likely to have pulmonary edema. A substantial agreement between criteria 2 and the final diagnosis regarding pulmonary edema was observed as per Cohen's kappa [Table 1]. An almost perfect agreement was noted between USG findings and final diagnosis. The BLUE protocol had an overall diagnostic accuracy of 95.38% in the diagnosis of pulmonary edema.
|Table 1: Confusion matrix for ultrasound profiles used in diagnosing pulmonary edema and pneumothorax|
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No differences emerged between criteria 2, USG, and the final diagnosis in the classification of pneumothorax [Table 1] and [Figure 1]. An almost perfect agreement and substantial agreement were noted between criteria 1 and criteria 2 with final diagnosis, respectively.
|Figure 1: Ultrasound and chest X-ray of a female patient aged about 50 years presenting with sudden onset of breathlessness, postbronchoscopy. (a) A lines and barcode sign in the ultrasound of the right lung and (b) right peripheral radiolucent area in the chest X-ray with no vascular markings consistent with right pneumothorax. A male patient presenting with hemoptysis: (c) A lines in the right lung ultrasound and (d) superficial femoral vein thrombus in Doppler of the left leg|
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In comparison to criteria 1 and 2 for COPD diagnosis, the BLUE protocol had a higher diagnostic accuracy of 96.92% [Table 2]. In the case of pulmonary thromboembolism, a perfect agreement was observed between criterion 1 and the BLUE protocol as per kappa test results, with an equivalent diagnostic accuracy of 99.23% [Table 2].
|Table 2: Comparison of ultrasound profiles used for diagnosing chronic obstructive pulmonary disease/asthma and pulmonary thromboembolism|
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As depicted by [Table 3], in the pneumonia cases, criterion 2 performed better than other criteria. Kappa coefficient indicated that their substantial agreement was present between criteria 3 and final diagnosis, whereas criteria 1, 2, and 4 were in fair agreement with the final diagnosis. An almost perfect agreement between USG diagnosis and final diagnosis was determined by the kappa coefficient.
|Table 3: Comparison of ultrasound profiles used for diagnosing pneumonia and acute respiratory distress syndrome|
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Among cases of ARDS, there was a substantial agreement between criteria 2, and USG each with the final diagnosis. A fair agreement was seen between criteria 1 and final diagnosis according to Kappa test results [Table 3] and [Figure 2].
|Figure 2: Ultrasound of the left lung of male patient aged 62 years presenting with cough and breathlessness: (a) Normal B lines and (b) consolidation in the lung. A female patient aged 48 years presenting with breathlessness: (c) Diffuse bilateral B lines in left lung ultrasound and (d) homogenous opacities in bilateral lower zones and perihilar opacities in the chest X-ray indicating acute respiratory distress syndrome|
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| Discussion|| |
The modality chosen for the diagnosis of ARF in adults is not only contingent on the clinical presentation but also on the available resources and patient's medical status, which significantly affects the feasibility of examining lung disorders.
In this study, patients were aged between 18 and 81 years and the chief complaint noted at the time of admission was breathlessness. The primary clinical diagnosis among most patients was found to be pneumonia. These findings are in consonance with the research done by Wallbridge et al., wherein 17 out of 50 patients were diagnosed with pneumonia. Breathlessness is one of the most common and telling symptoms of pneumonia; however, it can also be a result of myriad of other factors. With a mortality rate of 5%–10%, the accurate and timely diagnosis of pneumonia becomes imperative.
In this study, 28 patients were finally diagnosed with pulmonary edema. The BLUE protocol diagnosis made at admission displayed good agreement with the final diagnosis with a diagnostic accuracy of 95.38% for pulmonary edema. Anterior predominant bilateral B3 lines with absent A lines (B-profile) were observed in all 28 cases. B-profile with preserved lung sliding had a sensitivity of 100.0% for the detection of pulmonary edema with a specificity of 94% and diagnostic accuracy of 89.23% in good agreement with a study conducted by Lichtenstein and Meziere, which showed a sensitivity of 97% and specificity of 95%. All patients with pulmonary edema had preserved lung sliding, and thus absence of lung sliding had 100% specificity in ruling out pulmonary edema. The B-profile characterizes pulmonary edema with high accuracy.
In the present study, 17 patients were finally diagnosed with pneumothorax. The BLUE protocol diagnosis made at admission had a perfect agreement with final diagnosis along with a diagnostic accuracy of 100% in the case of pneumothorax. Chest X-ray detected pneumothorax in 11 cases; thus, ultrasound had a greater diagnostic accuracy in detecting pneumothorax. In the current study, abolished anterior lung sliding was associated with anterior-predominant A lines and barcode sign was seen in all pneumothorax cases, correlating with a study conducted by Lichtenstein and Menu, demonstrating absence of lung sliding in all patients diagnosed with pneumothorax. The presence of lung point was noted in 15 cases, with sensitivity of 88.2% and specificity of 100%, similar to a study by Lichtenstein et al., which reported a sensitivity of 79% and specificity of 100%. A study by Raimondi et al. detected a higher sensitivity and specificity of 100% among A'-profile and lung point.
The absence of both lung sliding and B lines was seen in all cases of pneumothorax, thereby producing a specificity of 100%; however, the same profile can rarely be seen in COPD and thus it had a slightly lower specificity of 99%. COPD and asthma are bronchial diseases assumed to yield a normal lung surface. COPD formed the diagnosis for 17 patients, out of which in 13 cases, anterior-predominant bilateral A lines with lung sliding and no PLAPS were observed. In three cases, the same pattern with abolished lung sliding (without lung point) was seen. Anterior-predominant bilateral B lines were present in one case, and PLAPS was seen in 2 cases. Predominant anterior A lines without PLAPS and with lung sliding (normal profile) had a sensitivity of 76% and specificity of 85%, in correlation to a study by Ghanem et al. who found A-profile to have 86% sensitivity and 96% specificity. Lichtenstein and Meziere also reported a comparable sensitivity of 89% and specificity of 97%. In the current study, BLUE protocol had an overall diagnostic accuracy of 96.92% in the diagnosis of COPD. X-ray had a diagnostic accuracy of 100% in the diagnosis of COPD.
In this study, 13 patients were diagnosed with pulmonary thromboembolism. None of the patients with anterior interstitial patterns had pulmonary embolism. All patients had anterior-predominant A lines with lung sliding. Twelve patients had venous thrombosis. Predominant anterior bilateral A lines plus venous thrombosis criterion had a sensitivity of 92% and specificity of 100%, correlating with a study conducted by Lichtenstein and Meziere, demonstrating a sensitivity of 81% and specificity of 99%. There was a good agreement with BLUE protocol diagnosis, with an overall diagnostic accuracy of 99.23% ultrasound, correlating with a study by Silva et al., which showed a diagnostic accuracy of 0.81 ± 0.17.
Among the study cohort, 42 patients who presented with ARF were finally diagnosed to have pneumonia. Patients with pneumonia in this study presented with various profiles as described below.
B-profile (preserved lung sliding + B 7 lines)
This profile had a sensitivity of 8% and specificity of 99% in diagnosing pneumonia, which was similar to a study conducted by Lichtenstein and Meziere, who reported a sensitivity of 14.5% and specificity of 100%.
B'-profile (abolished lung sliding + B 7 lines)
This profile had a low sensitivity of 8%, but specificity of 100% for the diagnosis of pneumonia. This is in congruence to the findings of Lichtenstein and Meziere who found the sensitivity and specificity of the B'-profile to be 11% and 100%, respectively. Similarly, a study by Agmy et al. reported a specificity of 100%.
Consolidation profile (consolidation + B 7 lines)
The presence of consolidation had a higher sensitivity of 70% and specificity of 87% in the diagnosis of pneumonia. The presence of focal B lines is explained by the presence of fluid due to inflammatory changes. In a study conducted by Nazerian et al., consolidation profile had a sensitivity of 82.8% and specificity of 95.5%. Agmy et al. also demonstrated this profile to have a sensitivity of 81% and specificity of 100%.
Consolidation + A-profile
This profile had a sensitivity of 14% and specificity of 98%. In a study conducted by Lichtenstein and Meziere, this profile had a sensitivity of 42% and specificity of 96%.
The diagnostic accuracy of the four characteristic signs of pneumonia was lower than 93.85% accuracy rate of the bedside lung ultrasound. The sensitivity and specificity of the BLUE protocol in diagnosing pneumonia noted by the present study are similar to the corresponding values of 88% and 90% reported by Dexheimer Neto et al. Correlation between the two studies differing in sample sizes further reinforces the validity bedside lung ultrasound as an effective diagnostic tool for pneumonia in the ICU.
All 13 patients diagnosed with ARDS presented with bilateral symmetrical B lines and preserved lung sliding in our study. Bilateral lung sliding + bilateral symmetrical B lines had a sensitivity of 100% in the diagnosis of ARDS; however, similar pattern also indicated pulmonary edema and thus had a lower specificity of 75% in the diagnosis of ARDS. Out of the 13 patients, 7 patients also had consolidation along with preserved lung sliding and bilateral symmetrical B lines; thus, this pattern had a specificity of 99%. However, it showed a lower sensitivity (54%) in the diagnosis of ARDS. BLUE protocol had a low sensitivity (54%) in the diagnosis of ARDS; however, it had a high specificity (100%) and diagnostic accuracy (95.38%). In a study conducted by Leblanc et al., USG had a sensitivity of 58% and specificity of 96%.
Several recent studies have expounded the use of bedside lung ultrasound in detecting an omnibus of COVID-19 complications in a timely manner, while precluding contamination and radiation risks. Amidst a raging pandemic that targets the respiratory tract, it becomes exponentially crucial to delineate the use and diagnostic accuracy of beside lung ultrasound in mapping the myriad presentation of ARF.,,, With the limited infrastructural and financial resources of many affected regions worldwide, reliance on bedside lung ultrasound can go a long way in tiding over this health crisis.
Use of ultrasound has been greatly increasing in critically ill patients. There are multiple advantageous like quick examinations by the bedside to answer specific clinical queries, no need to move the patients to ICU, and reduced exposure to ionizing radiation. Ultrasound technique has found several applications in pre-hospital setting, one of them is aeromedical transport. Ultrasound technique has the potential to collaborate the in-hospital physicians to get ready for the trauma patients and to recognize intra-peritoneal bleeding in the field. Ultrasound technique can be helpful in military situations and disasters for patients' triage, as well as the rapid assessment. One research involving adult population concluded that critical care ultrasound can be successfully used for discovering the nontraumatic pneumothorax. Furthermore, critical care ultrasound is often performed before paracentesis for identification of optimal needle insertion point and depth, as well as for recognition of ascites.
Few limitations of this study include possibility of interoperator discrepancies and missed opportunity of including pleural effusion as a distinct category, an important contributor to ARF. Furthermore, ARDS and severe pneumonia were not differentiated clinically, which is an important aspect. Nevertheless, this study is noteworthy in its attempt to replicate results in a reasonable sample size of a wide age range and delineated representation of almost all profiles outlined in the BLUE protocol with respect to the Indian scenario. The often-elusive pulmonary embolism was also aptly detected by the ultrasound in the presence of deep vein thrombosis. Lung ultrasound was also useful in differentiating pulmonary edema and ARDS. These findings will help in providing a comprehensive understanding of the bedside lung ultrasound's diagnostic accuracy across multiple forms of ARF.
| Conclusion|| |
Based on the observations, this study infers that the BLUE protocol is a feasible tool, convenient for ICU usage, and imperative for the immediate diagnosis of conditions manifesting as ARF. Future studies can explore the efficiency of bedside ultrasound in patients with multiple ARF diagnoses in monocentric experimental design.
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Conflicts of interest
There are no conflicts of interest.
| References|| |
Lichtenstein DA, Meziere GA. Relevance of lung ultrasound in the diagnosis of acute respiratory failure: The BLUE protocol. Chest 2008;134:117-25.
Silva S, Biendel C, Ruiz J, Olivier M, Bataille B, Geeraerts T, et al.
Usefulness of cardiothoracic chest ultrasound in the management of acute respiratory failure in critical care practice. Chest 2013;144:859-65.
Walkey AJ, Wiener RS. Use of noninvasive ventilation in patients with acute respiratory failure, 2000-2009: A population-based study. Ann Am Thorac Soc 2013;10:10-7.
Stefan MS, Shieh MS, Pekow PS, Rothberg MB, Steingrub JS, Lagu T, et al.
Epidemiology and outcomes of acute respiratory failure in the United States, 2001 to 2009: A national survey. J Hosp Med 2013;8:76-82.
Ray P, Birolleau S, Lefort Y, Becquemin MH, Beigelman C, Isnard R, et al.
Acute respiratory failure in the elderly: Etiology, emergency diagnosis and prognosis. Crit Care 2006;10:R82.
Slovis BH, Shah KH, Yeh DD, Seethala R, Kaafarani HM, Eikermann M, et al.
Significant but reasonable radiation exposure from computed tomography-related medical imaging in the ICU. Emerg Radiol 2016;23:141-6.
Patel CJ, Bhatt HB, Parikh SN, Jhaveri BN, Puranik JH. Bedside lung ultrasound in emergency protocol as a diagnostic tool in patients of acute respiratory distress presenting to emergency department. J Emerg Trauma Shock 2018;11:125-9.
] [Full text]
Dexheimer Neto FL, Andrade JM, Raupp AC, Townsend Rda S, Beltrami FG, Brisson H, et al.
Diagnostic accuracy of the Bedside Lung Ultrasound in Emergency protocol for the diagnosis of acute respiratory failure in spontaneously breathing patients. J Bras Pneumol 2015;41:58-64.
Soldati G, Sher S. Bedside lung ultrasound in critical care practice. Minerva Anestesiol 2009;75:509-17.
Bataille B, Riu B, Ferre F, Moussot PE, Mari A, Brunel E, et al.
Integrated use of bedside lung ultrasound and echocardiography in acute respiratory failure: A prospective observational study in ICU. Chest 2014;146:1586-93.
Wallbridge P, Steinfort D, Tay TR, Irving L, Hew M. Diagnostic chest ultrasound for acute respiratory failure. Respir Med 2018;141:26-36.
Lichtenstein DA. Lung ultrasound in the critically ill. Ann Intensive Care 2014;4:1-2.
Lichtenstein DA. Basic notions in critical ultrasound. In: Lichtenstein DA, editor. Whole Body Ultrasonongraphy in the Critically Ill. New York: Springer; 2010. p. 3-10.
Via G, Storti E, Gulati G, Neri L, Mojoli F, Braschi A. Lung ultrasound in the ICU: From diagnostic instrument to respiratory monitoring tool. Minerva Anestesiol 2012;78:1282-96.
Wallbridge PD, Joosten SA, Hannan LM, Steinfort DP, Irving L, Goldin J, et al
. A prospective cohort study of thoracic ultrasound in acute respiratory failure: The C3PO
protocol. JRSM Open 2017;8:2054270417695055.
Hoare Z, Lim WS. Pneumonia: Update on diagnosis and management. BMJ 2006;332:1077-9.
Lichtenstein DA, Menu Y. A bedside ultrasound sign ruling out pneumothorax in the critically ill. Lung sliding. Chest 1995;108:1345-8.
Lichtenstein DA, Mezière G, Lascols N, Biderman P, Courret JP, Gepner A, et al.
Ultrasound diagnosis of occult pneumothorax. Crit Care Med 2005;33:1231-8.
Raimondi F, Rodriguez FJ, Aversa S. Lung ultrasound for diagnosing pneumothorax in the critically ill neonate. J Pediatr 2016;175:74-8.
Ghanem M, ElAzeem AA, Makhlouf H. Diagnostic accuracy of trans-thoracic chest ultrasonography in patients with acute respiratory failure. Eur Respir J 2013;42:24-6.
Agmy GR, Hamed S, Saad MA, Ibrahim R, Mohamed AA. Assessment of severe dyspnea in critically ill patients by transthoracic sonography: Fayoum experience of the Bedside Lung Ultrasonography in Emergency protocol. Egypt J Bronchol 2018;12:92. [Full text]
Nazerian P, Volpicelli G, Vanni S, Gigli C, Betti L, Bartolucci M, et al.
Accuracy of lung ultrasound for the diagnosis of consolidations when compared to chest computed tomography. Am J Emerg Med 2015;33:620-5.
Leblanc D, Bouvet C, Degiovanni F, Nedelcu C, Bouhours G, Rineau E, et al.
Early lung ultrasonography predicts the occurrence of acute respiratory distress syndrome in blunt trauma patients. Intensive Care Med 2014;40:1468-74.
Denault AY, Delisle S, Canty D, Royse A, Royse C, Serra XC, et al
. A proposed lung ultrasound and phenotypic algorithm for the care of COVID-19 patients with acute respiratory failure. Can J Anaesth 2020;67:1-2.
Sultan LR, Sehgal CM. A review of early experience in lung ultrasound in the diagnosis and management of COVID-19. Ultrasound Med Biol 2020;46:2530-45.
Sofia S, Boccatonda A, Montanari M, Spampinato M, D'ardes D, Cocco G, et al.
Thoracic ultrasound and SARS-COVID-19: A pictorial essay. J Ultrasound 2020;23:217-21.
Ahuja A, Mahajan A. Imaging and COVID-19: Preparing the radiologist for the pandemic. Cancer Res Stat Treat 2020;3:80-5. [Full text]
Chacko J, Brar G. Bedside ultrasonography: Applications in critical care: Part I. Indian J Crit Care Med 2014;18:301.
] [Full text]
Vaziri S, Mosaddegh R, Masoumi G, Rezai M, Mohammadi F. The promising applications of ultrasound in emergency medicine and critical care related to in cancer: A review. Onkol Radioter 2020;14;13:031-037.
[Figure 1], [Figure 2]
[Table 1], [Table 2], [Table 3]