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Systematic review and meta-analysis for the use of ultrasound versus radiology in diagnosing of pneumonia

Critical Ultrasound Journal volume 9, Article number: 6 (2017) Cite this article

Abstract

Background

Physicians are increasingly using point of care lung ultrasound (LUS) for diagnosing pneumonia, especially in critical situations as it represents relatively easy and immediately available tool. They also used it in many associated pathological conditions such as consolidation, pleural effusion, and interstitial syndrome with some reports of more accuracy than chest X-ray. This systematic review and meta-analysis are aimed to estimate the pooled diagnostic accuracy of ultrasound for the diagnosis of pneumonia versus the standard chest radiological imaging.

Methods and main results

A systematic literature search was conducted for all published studies comparing the diagnostic accuracy of LUS against a reference Chest radiological exam (C X-ray or Chest computed Tomography CT scan), combined with clinical criteria for pneumonia in all age groups. Eligible studies were required to have a Chest X-ray and/or CT scan at the time of clinical evaluation. The authors extracted qualitative and quantitative information from eligible studies, and calculated pooled sensitivity and specificity and pooled positive/negative likelihood ratios (LR). Twenty studies containing 2513 subjects were included in this meta-analysis. The pooled estimates for lung ultrasound in the diagnosis of pneumonia were, respectively, as follows: Overall pooled sensitivity and specificity for diagnosis of pneumonia by lung ultrasound were 0.85 (0.84–0.87) and 0.93 (0.92–0.95), respectively. Overall pooled positive and negative LRs were 11.05 (3.76–32.50) and 0.08 (0.04–0.15), pooled diagnostic Odds ratio was 173.64 (38.79–777.35), and area under the pooled ROC (AUC for SROC) was 0.978.

Conclusion

Point of care lung ultrasound is an accurate tool for the diagnosis of pneumonia. Considering being easy, readily availability, low cost, and free from radiological hazards, it can be considered as important diagnostic strategy in this condition.

Background

Acute pneumonia or acute respiratory tract infection is considered the most common cause of mortality in children around the globe [1]. In adult, pneumonia also is a serious disease with increased rate of mortality and hospitalization [2, 3]. The diagnosis of pneumonia can be difficult and challenging in the emergency setting or in critically ill patients [4]. Many of the commonly used radiological signs are non-specific [5]. In daily practice, pneumonia diagnosis is based on clinical presentation through patient history and physical exam, plus radiological imaging commonly chest X-ray (and infrequently CT scan) that may help confirm the diagnosis particularly with equivocal clinical status. Early diagnosing of pneumonia is very important to promptly starting the treatment; otherwise, it can be life-threatening or associated with high morbidity particularly in critically ill patients who need immediate decision.

There are many diagnostic approaches to diagnose and evaluate pneumonia and every tool has its own diagnostic accuracy.

Flexible bronchoscopy or endotracheal aspiration usually is reserved for intubated patients. Blood samples, urinary antigens, and expectorate collections are among routine examinations that are performed once pneumonia is suspected. Collected specimens are sent to microbiology laboratories [6] which may take several days to have conclusive results. Bronchoscope can give useful information; however, it has its own limitations and contraindications such as patients with severe hypoxemia, recent myocardial infarctions, or significant cardiac arrhythmia. Being relatively invasive technique, it is also not possible to perform bronchoscope in all patients but only in selected cases [7].

Another diagnostic tool is computed tomography, which is considered as the gold standard in lung imaging in general. This tool is particularly useful in lung masses or cavitary abnormality and any changes in lung parenchyma either acute or chronic such as the cases of pneumonia, interstitial lung disease, emphysema, and malignancy. The limitations are several but most important are radiation hazards, cost, and logistics that limit its routine use. A major limitation is difficulty in transporting patients with critical conditions to imaging section which precludes markedly unstable patients either respiratory or hemodynamically [8, 9].

Nevertheless, chest radiography remains an important imaging tool that been used for long and still helping in diagnosing many abnormalities in the chest. Chest X-ray is considered as the most common diagnostic tool that has been used traditionally in daily practice for diagnosis of pneumonia, especially in critical conditions [10]. Many limitations in using portable chest X-ray have been well described and noticed such as quality of an X-ray film in addition to the risk of repetitive radiation exposure [11]. Some reports claim that removal of chest radiography from daily practice may not affect intensive care unit mortality [12].

Relatively recently, lung ultrasound was promoted as a modality that can overcome many of the above-mentioned limitations of other tools in the diagnosis of pneumonia in multiple settings [13]. Through the last 2 decade, the ultrasound has shown that it could play a major role in medicine and common practice in assessing the lung [14]. Traditionally, the accessibility of the lung by ultrasound was considered poor due to the air barrier. However, this position has been dramatically changed with tremendous amount of literature supporting the use of LUS in multiple conditions [15–17]. This diagnostic tool can be used easily and immediately as a bedside tool which give it a huge advantage [18]. Lung ultrasound was reported with high accuracy in many pathological lung conditions such as consolidation, pleural effusion, and interstitial syndrome compared to bedside chest radiography [19].

The aim of our study is to conduct systematic review (SR) followed by meta-analysis for the diagnostic power of lung ultrasound versus chest radiological imaging for the diagnosis of pneumonia in both adult and pediatric population through estimation of the pooled diagnostic accuracy measures.

Methods

A systematic search of electronic databases was conducted, including MEDLINE, EMBASE, and Cochrane databases from 1990 to 2016 to identify the relevant articles in the effectiveness of ultrasound in the diagnosis of pneumonia. Hand search was then conducted on references of relevant studies. The search strategy followed Cochrane guidelines with using the terms “Ultrasonography, ultrasound, sonography, ultrasonographies, sonogram”; “pneumonia, Bronchopneumonia, Pleuropneumonia, severe Acute Respiratory Syndrome, pulmonary inflammation, bronchiolitis”; and “sensitivity or specificity” with its MeSH terms. No restriction for language or type of patients was made at the time of the search. We included in this systematic review all studies evaluating diagnostic accuracy of lung ultrasound as index test against chest radiological imaging (CXR or CT) as reference standard. We included in this SR patients with respiratory disease and symptoms of acute respiratory failure. The evaluation of pneumonia is a combination of clinical data, laboratory results, and chest imaging. In addition, articles that evaluated any sign of respiratory disease, symptoms, or acute respiratory failure were included. We included all types of patients’ pneumonia—both community- and hospital-acquired pneumonia—, children, adolescents, or adults. We have chosen to combine both adults and pediatric based on current literature suggesting that ultrasound findings in both are similar [17].

Two authors (SZ and WM) screened titles and abstracts for valid articles. Full-text articles were retrieved afterward. We developed an abstraction tables that includes year of publication, patients’ baseline characteristics, and diagnostic study data (numbers of true positive, false positive, false negative, and true negative test results). Disagreement in study selection and abstraction was resolved by discussion with the third reviewer (ME).

Two reviewers (ME and SZ) independently used the QUADAS-2 instrument to assess the quality assessment of the included studies [20]. This tool consists of key domains covering patient selection, index test, reference standard, flow of patients through the study, and timing of the index test(s) and reference standard. Each domain was assessed in terms of the risk of bias and the concerns regarding applicability.

Risk of bias was judged as “Low,” “High,” or “Unclear.” If all signaling questions for a domain are answered “Yes,” then risk of bias can be judged “Low.” If any signaling question is answered “No,” this flags the potential for bias.

The meta-analysis was conducted using Meta-Disc 1.4 [21]. Random effect model was used in all analyses. The diagnostic accuracy measures used in the analysis were sensitivity, specificity, and likelihood ratio for positive and negative test (LR+ and LR−). Heterogeneity was assessed using the I-squared statistic and Q test.

Results

We identified (431) studies that were relevant and fit our search strategy. After reviewing the articles and applying inclusion criteria and exclusion commentaries, we identified and enrolled 20 studies (see Fig. 1 flowchart). These 20 studies provided population of 2513 patients. The main reasons for exclusions were duplication of studies between the Pubmed and the Embase Databases and studies were not diagnostic.

Fig. 1
figure 1

Flow chart for literature search process

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Table 1 describes the basic characteristics of the 20 included studies. Among the included 20 studies, five of them are dealing with pediatrics patients [22,23,24,25,26]. Age of patients ranges from 1 month to 100 years. Some studies had comprehensive result of CT, clinical course, conventional tests, and follow-up outcomes as a diagnostic standard, which was considered clinical diagnosis. The quality of all studies was generally high, had low risk of bias, and satisfied the majority of the risk of bias criteria. Table 2 includes the chest imaging (reference standard) and other diagnostic criteria.

Table 1 Characteristics of studies and patients enrolled from studies retrieved for meta-analysis
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Table 2 Chest imaging and diagnostic criteria of selected studies
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Overall pooled sensitivity and specificity for diagnosis of pneumonia by lung ultrasound were 0.85 (0.84–0.87) and 0.93 (0.92–0.95), respectively (Figs. 2, 3). Overall pooled positive and negative LRs (Fig. 4) were 11.05 (3.76–32.50) and 0.08 (0.04–0.15), pooled diagnostic Odds ratio (Fig. 5) was 173.64 (38.79–777.35), and area under the pooled ROC (AUC for SROC) was 0.978 (Fig. 6).

Fig. 2
figure 2

Pooled sensitivity of Ultrasound in ruling out pneumonia

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Fig. 3
figure 3

Pooled specificity of Ultrasound in ruling out pneumonia

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Fig. 4
figure 4

Pooled likelihood ratios of Ultrasound in diagnosing pneumonia

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Fig. 5
figure 5

Pooled diagnostic Odds Ratio of Ultrasound in diagnosing pneumonia

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Fig. 6
figure 6

Pooled receiver operator characteristic curve of ultrasound in diagnosing pneumonia

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Discussion

Pneumonia commonly leads to significant pulmonary consolidation that is demonstrated with a complete loss of aeration in the concerned lung region. On CXR, pulmonary consolidation is defined as a homogeneous opacity that may have effacement of blood vessel shadows and the presence of air bronchograms.

In lung ultrasound, the normal lung displays the “lung sliding” and A-lines. Lung sliding indicates sliding of the visceral pleura against the parietal pleura and A-lines are repetitive horizontal reverberation artifacts parallel to the pleural line generated by normally present subpleural air in the alveoli.

On ultrasound examination, consolidation is defined as tissue-like pattern reminiscent of the liver, sometimes called “hepatization,” with boundaries that may be formed from the pleural line or a pleural effusion if present and the aerated lung, potentially forming an irregular scattered line if the consolidation is limited (shred sign) or a regular line if the whole lobe is involved. The LUS is logically capable in detecting superficial pneumonia, but it remains, however, doubtful in detecting deep alveolar lesions [39]. Consolidation is defined as an isoechoic tissue-like structure, which is caused by the loss of lung aeration. [4, 27] Power Doppler sometimes is used in order to differentiate tissue-like structures (e.g., echoic pleural effusion) from consolidation. The shred sign is specific for consolidation. B-lines are well-defined hyperechoic comet-tail artifacts, arising from pleural line and spreading vertically indefinitely, erasing A-lines and moving with the lung sliding when lung sliding is present. It indicates partial loss of lung aeration. Lung ultrasound using Doppler or contrast-enhanced sonography visualizes regional pulmonary blood flow within lung consolidations, thereby providing critical information about the etiology of the disease [27]. CXR does not provide any information about regional vascularization. The ultrasound detection of a dynamic air bronchogram is reported to be useful for differentiating obstructive atelectasis from pneumonia [27]. Several studies have demonstrated the superiority of lung ultrasound over CXR for diagnosing lung consolidation, particularly when portable CXR technique is used [30]. Therefore, the use of lung ultrasound can significantly reduce the number of chest radiographs and CT scans and decreases patients’ radiation exposure. It is easily repeatable at the bedside and provides more accurate diagnostic information than CXR in critically ill and emergency patients with lung consolidation.

In this study, we did a systematic review and meta-analysis for the diagnostic accuracy of radiological exam (CXR/CT) and lung ultrasound in relation to diagnosis of pneumonia. In comparison with previous systematic review published addressing this issue [4, 42], our study included more primary studies and subjects compared to previously published systematic reviews.

In our study, we found that lung ultrasound had a high LR, sensitivity, and specificity for the diagnosis of pneumonia. That represents a strong diagnostic accuracy measure with high precision as expressed by the relatively narrow 95% CI. It is important to emphasize that this high diagnostic accuracy can be operator-dependent [34]. The lung scan should be performed by well-trained operators in at least 6 zones to be able to achieve such high diagnostic accuracy [36]. However, in relation to CXR, previous 2 meta-analyses agrees about the superiority of ultrasound over portable CXR [4, 42].

This study emphasizes the role of lung ultrasound as an accurate technique for diagnosing pneumonia compared to chest radiological imaging. This comes in agreement with the multiple reports published for LUS use in multiple settings and new indication [43–47]. In addition, it can help in reducing the movement of patients to the radiology department for CT particularly in unstable mechanical ventilated patient.

Limitation

Moderate-to-high degree of inconsistency/heterogeneity was observed which puts some caution for the interpretation of this study. The reason of heterogeneity can be due to differences in the population or in the reference standard (CXR and CT scan).

The study did not aim to investigate clinical end-point to prove/disprove LUS as a useful diagnostic strategy. That requires another SR of preferably RCT to elicit potential benefits of using the strategy of ultrasound diagnosis over radiological diagnosis. It will require examining several clinical outcomes such as earlier start of treatment, more effective management, reducing costs, reducing need for endoscope, and reducing complication such as cross-infection. These clinical endpoints were not addressed, as the focus was to establish pooled diagnostic accuracy rather than estimating effectiveness between comparative diagnostic strategies. However, our study managed to estimate high pooled diagnostic accuracy of this tool, which may justify its use.

In addition, we did not do comparison between LUS and chest X-ray in the general population (adults and children). That will require individual patient data (IPD) which are not available in the published studies. However, IPD meta-analysis has a robust methodology and peculiar characteristics that can be considered in this topic as potential future research.

Conclusion

Lung ultrasound can play a major and valuable role in the diagnosis of pneumonia with high diagnostic accuracy. Moreover, it can be an alternative to chest X-ray and thoracic CT in several conditions. LUS can be used at the bedside easily, safely, and repetitively. Using LUS in Emergency department, ICUs, and medical wards after adequate training can be considered as a disruptive technology in this field.

Abbreviations

LUS:

lung ultrasound

CT:

computerized axial tomography

X-Ray:

X-radiation

LR:

likelihood ratio

DF:

degree of freedom

MeSH:

medical subheadings

CXR:

chest computerized axial tomography scan

QUADAS:

quality assessment of primary diagnostic accuracy studies

References

  1. Peden M (2008) World report on child injury prevention: World Health Organization

  2. Almirall J, Bolibar I, Vidal J, Sauca G, Coll P, Niklasson B et al (2000) Epidemiology of community-acquired pneumonia in adults: a population-based study. Eur Respir J 15(4):757–763

    CAS  Article  PubMed  Google Scholar 

  3. Meehan TP, Fine MJ, Krumholz HM, Scinto JD, Galusha DH, Mockalis JT et al (1997) Quality of care, process, and outcomes in elderly patients with pneumonia. JAMA 278(23):2080–2084

    CAS  Article  PubMed  Google Scholar 

  4. Chavez MA, Shams N, Ellington LE, Naithani N, Gilman RH, Steinhoff MC et al (2014) Lung ultrasound for the diagnosis of pneumonia in adults: a systematic review and meta-analysis. Respir Res 15(50):1465–9921

    Google Scholar 

  5. Mayaud C (2011) Pneumonia is the leading cause of death of infectious origin. La Revue du praticien 61(8):1061

    PubMed  Google Scholar 

  6. Van der Eerden M, Vlaspolder F, De Graaff C, Groot T, Jansen H, Boersma W (2005) Value of intensive diagnostic microbiological investigation in low-and high-risk patients with community-acquired pneumonia. Eur J Clin Microbiol Infect Dis 24(4):241–249

    Article  PubMed  Google Scholar 

  7. Wahidi MM, Rocha AT, Hollingsworth JW, Govert JA, Feller-Kopman D, Ernst A (2005) Contraindications and safety of transbronchial lung biopsy via flexible bronchoscopy. Respiration 72(3):285–295

    Article  PubMed  Google Scholar 

  8. Henschke CI, Yankelevitz DF, Wand A, Davis SD, Shiau M (1996) Accuracy and efficacy of chest radiography in the intensive care unit. Radiol Clini North Am 34(1):21–31

    CAS  Google Scholar 

  9. Lichtenstein D, Peyrouset O (2006) Is lung ultrasound superior to CT? The example of a CT occult necrotizing pneumonia. Intensive Care Med 32(2):334–335

    Article  PubMed  Google Scholar 

  10. Rubinowitz AN, Siegel MD, Tocino I (2007) Thoracic imaging in the ICU. Crit Care Clin 23(3):539–573

    Article  PubMed  Google Scholar 

  11. Yu C-J, Yang P-C, Chang D, Luh K (1992) Diagnostic and therapeutic use of chest sonography: value in critically ill patients. AJR Am J Roentgenol 159(4):695–701

    CAS  Article  PubMed  Google Scholar 

  12. Oba Y, Zaza T (2010) Abandoning daily routine chest radiography in the intensive care unit: meta-analysis 1. Radiology 255(2):386–395

    Article  PubMed  Google Scholar 

  13. Lichtenstein DA (2009) Ultrasound examination of the lungs in the intensive care unit. Pediatric Crit Care Medi 10(6):693–698

    Article  Google Scholar 

  14. Beckh S, Bolcskei PL, Lessnau K-D (2002) Real-time chest ultrasonographya comprehensive review for the pulmonologist. CHEST J 122(5):1759–1773

    Article  Google Scholar 

  15. Gryminski J, Krakówka P, Lypacewicz G (1976) The diagnosis of pleural effusion by ultrasonic and radiologic techniques. CHEST J 70(1):33–37

    CAS  Article  Google Scholar 

  16. Reißig A, Kroegel C (2003) Transthoracic sonography of diffuse parenchymal lung disease the role of comet tail artifacts. J Ultrasound Med 22(2):173–180

    Article  PubMed  Google Scholar 

  17. Volpicelli G, Elbarbary M, Blaivas M, Lichtenstein DA, Mathis G, Kirkpatrick AW et al (2012) International evidence-based recommendations for point-of-care lung ultrasound. Intensive Care Med 38(4):577–591

    Article  PubMed  Google Scholar 

  18. Koenig SJ, Narasimhan M, Mayo PH (2011) Thoracic ultrasonography for the pulmonary specialist thoracic ultrasonography. CHEST J 140(5):1332–1341

    Article  Google Scholar 

  19. Lichtenstein D, Goldstein I, Mourgeon E, Cluzel P, Grenier P, Rouby J-J (2004) Comparative diagnostic performances of auscultation, chest radiography, and lung ultrasonography in acute respiratory distress syndrome. Anesthesiology 100(1):9–15

    Article  PubMed  Google Scholar 

  20. Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB et al (2011) QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 155(8):529–536

    Article  PubMed  Google Scholar 

  21. Zamora J, Muriel A, Khan K, Coomarasamy A (2006) Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Med Res Methodol 6:31

    Article  PubMed  PubMed Central  Google Scholar 

  22. Deeks JJ, Macaskill P, Irwig L (2005) The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. J Clin Epidemiol 58(9):882–893 (Epub 2005/08/09)

    Article  PubMed  Google Scholar 

  23. Iuri D, De Candia A, Bazzocchi M (2009) Evaluation of the lung in children with suspected pneumonia: usefulness of ultrasonography. Radiol Med (Torino) 114(2):321–330

    CAS  Article  Google Scholar 

  24. Unluer E, Karagoz A, Senturk G, Karaman M, Olow K, Bayata S (2013) Bedside lung ultrasonography for diagnosis of pneumonia. Hong Kong J Emerg Med 20(2):98

    Google Scholar 

  25. El Dien HMS, ElLatif DAA (2013) The value of bedside lung ultrasonography in diagnosis of neonatal pneumonia. Egypt J Radiol Nuclear Med 44(2):339–347

    Article  Google Scholar 

  26. Caiulo VA, Gargani L, Caiulo S, Fisicaro A, Moramarco F, Latini G et al (2013) Lung ultrasound characteristics of community-acquired pneumonia in hospitalized children. Pediatric Pulmonol 48(3):280–287

    Article  Google Scholar 

  27. Benci A, Caremani M, Menchetti D, Magnolfi A (1996) Sonographic diagnosis of pneumonia and bronchopneumonia. Eur J Ultrasound 4(3):169–176

    Article  Google Scholar 

  28. Lichtenstein DA, Lascols N, Mezière G, Gepner A (2004) Ultrasound diagnosis of alveolar consolidation in the critically ill. Intensive Care Med 30(2):276–281

    Article  PubMed  Google Scholar 

  29. Lichtenstein DA, Meziere GA (2008) Relevance of lung ultrasound in the diagnosis of acute respiratory failure. CHEST J 134(1):117–125

    Article  Google Scholar 

  30. Parlamento S, Copetti R, Di Bartolomeo S (2009) Evaluation of lung ultrasound for the diagnosis of pneumonia in the ED. Am J Emerg Med 27(4):379–384

    Article  PubMed  Google Scholar 

  31. Cortellaro F, Colombo S, Coen D, Duca PG (2012) Lung ultrasound is an accurate diagnostic tool for the diagnosis of pneumonia in the emergency department. Emerg Med J 29(1):19–23

    Article  PubMed  Google Scholar 

  32. Xirouchaki N, Magkanas E, Vaporidi K, Kondili E, Plataki M, Patrianakos A et al (2011) Lung ultrasound in critically ill patients: comparison with bedside chest radiography. Intensive Care Med 37(9):1488–1493

    Article  PubMed  Google Scholar 

  33. Reissig A, Copetti R, Mathis G, Mempel C, Schuler A, Zechner P et al (2012) Lung ultrasound in the diagnosis and follow-up of community-acquired pneumonia: a prospective, multicenter, diagnostic accuracy study. CHEST J 142(4):965–972

    Article  Google Scholar 

  34. Testa A, Soldati G, Copetti R, Giannuzzi R, Portale G, Gentiloni-Silveri N (2012) Early recognition of the 2009 pandemic influenza A (H1N1) pneumonia by chest ultrasound. Crit Care 16(1):R30

    Article  PubMed  PubMed Central  Google Scholar 

  35. Shah VP, Tunik MG, Tsung JW (2013) Prospective evaluation of point-of-care ultrasonography for the diagnosis of pneumonia in children and young adults. JAMA Pediatr 167(2):119–125

    Article  PubMed  Google Scholar 

  36. Copetti R, Cattarossi L (2008) Ultrasound diagnosis of pneumonia in children. Radiol Med (Torino) 113(2):190–198

    CAS  Article  Google Scholar 

  37. Nafae R, Eman SR, Mohamad NA, El-Ghamry R, Ragheb AS (2013) Adjuvant role of lung ultrasound in the diagnosis of pneumonia in intensive care unit-patients. Egypt J Chest Dis Tuberc 62(2):281–285

    Article  Google Scholar 

  38. Liu X-L, Lian R, Tao Y-K, Gu C-D, Zhang G-Q (2014) Lung ultrasonography: an effective way to diagnose community-acquired pneumonia. Emerg Med J (emermed-2013-203039)

  39. Esposito S, Papa SS, Borzani I, Pinzani R, Giannitto C, Consonni D et al (2014) Performance of lung ultrasonography in children with community-acquired pneumonia. Ital J Pediatr 40:37

    Article  PubMed  PubMed Central  Google Scholar 

  40. Nazerian P, Volpicelli G, Vanni S, Gigli C, Betti L, Bartolucci M et al (2015) Accuracy of lung ultrasound for the diagnosis of consolidations when compared to chest computed tomography. Am J Emerg Med 33(5):620–625

    Article  PubMed  Google Scholar 

  41. Bourcier J-E, Paquet J, Seinger M, Gallard E, Redonnet J-P, Cheddadi F et al (2014) Performance comparison of lung ultrasound and chest X-ray for the diagnosis of pneumonia in the ED. Am J Emerg Med 32(2):115–118

    Article  PubMed  Google Scholar 

  42. Ye X, Xiao H, Chen B, Zhang S (2015) Accuracy of lung ultrasonography versus chest radiography for the diagnosis of adult community-acquired pneumonia: review of the literature and meta-analysis. PLoS ONE 10(6):e0130066

    Article  PubMed  PubMed Central  Google Scholar 

  43. Sartori S, Tombesi P (2010) Emerging roles for transthoracic ultrasonography in pulmonary diseases. World J Radiol 2(6):203

    Article  PubMed  PubMed Central  Google Scholar 

  44. Lichtenstein DA (2014) Lung ultrasound in the critically ill. Ann Intensive Care. 4(1):2110–5820

    Article  Google Scholar 

  45. Volpicelli G, Zanobetti M (2015) Lung ultrasound and pulmonary consolidations. Am J Emerg Med 33(9):1307–1308. doi:10.1016/j.ajem.2015.04.020 (Epub 2015 Apr 16)

    Article  PubMed  Google Scholar 

  46. Lichtenstein D (2014) Lung ultrasound in the critically ill. Curr Opin Crit Care 20(3):315–322

    Article  PubMed  Google Scholar 

  47. Remérand F, Dellamonica J, Mao Z, Ferrari F, Bouhemad B, Jianxin Y et al (2010) Multiplane ultrasound approach to quantify pleural effusion at the bedside. Intensive Care Med 36(4):656–664

    Article  PubMed  Google Scholar 

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Authors' contributions

ME: study protocol, methods, discussion, and overview of completion of the manuscript. MAAS: contribution in introduction, results, and discussion. WHAM: method and result. SAA: introduction, statistical analysis. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Ethics approval and consent to participate

No ethical approval was needed for a systematic review.

Author information

Affiliations

  1. King Saud bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia

    Saeed Ali Alzahrani

  2. Emergency Medicine, College of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia

    Majid Abdulatief Al-Salamah

  3. National & Gulf Center for Evidence Based Health Practice (NGCEBHP), King Saud bin Abdulaziz University for Health Sciences (KSAUHS), Riyadh, Kingdom of Saudi Arabia

    Wedad Hussain Al-Madani

  4. KSAUHS, Ministry of National Guard-Health Affairs, King Abdullah International Medical Research Center, Riyadh, Kingdom of Saudi Arabia

    Mahmoud A. Elbarbary

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  1. Saeed Ali Alzahrani
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Correspondence to Mahmoud A. Elbarbary.

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Alzahrani, S.A., Al-Salamah, M.A., Al-Madani, W.H. et al. Systematic review and meta-analysis for the use of ultrasound versus radiology in diagnosing of pneumonia. Crit Ultrasound J 9, 6 (2017). https://doi.org/10.1186/s13089-017-0059-y

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Keywords

  • Systematic review, Ultrasound
  • Pneumonia
  • Point of care, lung, interstitial syndrome, and diagnosis