Skip to main content

Main menu

  • Home
  • Current issue
  • ERJ Early View
  • Past issues
  • ERS Guidelines
  • Authors/reviewers
    • Instructions for authors
    • Submit a manuscript
    • Open access
    • COVID-19 submission information
    • Peer reviewer login
  • Alerts
  • Subscriptions
  • ERS Publications
    • European Respiratory Journal
    • ERJ Open Research
    • European Respiratory Review
    • Breathe
    • ERS Books
    • ERS publications home

User menu

  • Log in
  • Subscribe
  • Contact Us
  • My Cart
  • Log out

Search

  • Advanced search
  • ERS Publications
    • European Respiratory Journal
    • ERJ Open Research
    • European Respiratory Review
    • Breathe
    • ERS Books
    • ERS publications home

Login

European Respiratory Society

Advanced Search

  • Home
  • Current issue
  • ERJ Early View
  • Past issues
  • ERS Guidelines
  • Authors/reviewers
    • Instructions for authors
    • Submit a manuscript
    • Open access
    • COVID-19 submission information
    • Peer reviewer login
  • Alerts
  • Subscriptions

Radial probe endobronchial ultrasound for the diagnosis of peripheral lung cancer: systematic review and meta-analysis

D.P. Steinfort, Y.H. Khor, R.L. Manser, L.B. Irving
European Respiratory Journal 2011 37: 902-910; DOI: 10.1183/09031936.00075310
D.P. Steinfort
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: daniel.steinfort@mh.org.au
Y.H. Khor
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
R.L. Manser
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
L.B. Irving
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Improved diagnostic sensitivity of bronchsocopy for the investigation of peripheral pulmonary lesions (PPLs) with the use of radial probe endobroncial ultrasound (EBUS) has been reported, although diagnostic performance varies considerably.

A systematic review of published literature evaluating radial probe EBUS accuracy was performed to determine point sensitivity and specificity, and to construct a summary receiver-operating characteristic curve. Sub-group analysis and linear regression was used to identify possible sources of study heterogeneity.

16 studies with 1,420 patients fulfilled inclusion criteria. Significant inter-study variation in EBUS method was noted. EBUS had point specificity of 1.00 (95% CI 0.99–1.00) and point sensitivity of 0.73 (95% CI 0.70–0.76) for the detection of lung cancer, with a positive likelihood ratio of 26.84 (12.60–57.20) and a negative likelihood ratio of 0.28 (0.23–0.36). Significant inter-study heterogeneity for sensitivity was observed, with prevalence of malignancy, lesion size and reference standard used being possible sources.

EBUS is a safe and relatively accurate tool in the investigation of PPLs. Diagnostic sensitivity of EBUS may be influenced by the prevalence of malignancy in the patient cohort being examined and lesion size. Further methodologically rigorous studies on well-defined patient populations are required to evaluate the generalisability of our results.

  • Biopsy
  • bronchoscopy
  • pneumothorax
  • solitary pulmonary nodule

Peripheral pulmonary lesions (PPL) are focal radiographic opacities that may be characterised as nodules (≤3 cm) or masses (>3 cm). While referral for lobectomy in patients with a PPL with a very high pre-test probability of malignancy is suggested by some guidelines 1, computed tomography (CT) screening studies have shown that 18–34% of such operations are performed in patients with benign nodules 2–4. Consequently, attempts at minimally invasive diagnosis are strongly favoured.

Multiple approaches may be undertaken to establish a tissue diagnosis, including sputum cytology, percutaneous image-guided aspiration/biopsy and bronchoscopic sampling. Diagnostic yield for routine bronchoscopy for investigation of peripheral pulmonary lesions (i.e. lesions not endobronchially visible) may be <20% 5, 6. Diagnostic yield is improved by the use of fluoroscopic guidance during performance of transbronchial lung biopsies (TBLB) 6, 7, although it varies considerably across studies from <45% 6, 8, 9 to >70% 10, 11. The highest diagnostic yield for bronchoscopic evaluation of PPLs appears to be associated with use of radial probe endobronchial ultrasound (EBUS).

Radial probe EBUS employs a flexible catheter housing a rotating ultrasound transducer which produces a 360° (“radial”) ultrasound image and was first used to guide TBLB by Herth et al. 12. The transducer is passed into bronchial subsegments until the characteristic ultrasound signal indicating the presence of a solid lesion is demonstrated (fig. 1). TBLB and other methods of sampling tissue are then performed from this bronchus.

Figure 1–
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1–

Radial probe endobronchial ultrasound image indicating presence of peri-bronchial mass lesion. The position of the probe is indicated by the central black circle and the hyper-echoic line (arrows) demonstrates the solid tissue–air interface between the peribronchial pulmonary mass lesion (P) and the surrounding lung (L).

Numerous groups have now published their experience with EBUS-guided evaluation of PPLs. Synthesis of this information may be valuable to assess the effectiveness and safety of EBUS-TBLB for the evaluation of PPLs. With this systematic review we sought to establish this via performance of meta-analysis which, to our knowledge, has not previously been performed.

METHODS

Literature search

A systematic search of the medical literature was performed in December 2009 to identify all studies that used radial probe EBUS for investigation of PPLs. Both Medline and PubMed were searched with a common search strategy (table 1). A manual search of references cited in review papers as well as in all original papers identified by the search was also performed to complete the search.

View this table:
  • View inline
  • View popup
Table 1– Bibliographic search strategy

Selection of studies

All articles identified by our search strategy were independently assessed by two authors (D.P. Steinfort and R.L. Manser) for inclusion in this review. Discordance was resolved by consensus. Abstracts of all identified articles were initially examined according to pre-established selection criteria. Studies were selected for inclusion in the review only after both reviewers assessed the full text articles. We considered all studies that examined EBUS for the diagnosis of PPLs. Inclusion criteria were: 1) radial probe EBUS for diagnosis of PPL; 2) diagnoses confirmed histologically or by close clinical follow-up for at least 6 months used as the reference standard; and 3) enrolled at least 30 patients.

We excluded review articles, non peer-reviewed papers and papers not published in English. When multiple papers were published from a single institution we included papers where there were no overlapping study periods. In the event of multiple publications with overlapping study periods we included only one publication to prevent double counting of the patient cohorts.

Data extraction

Two authors (Y.H. Khor and D.P. Steinfort) extracted relevant data regarding study characteristics and investigation results. Extracted data included the following items: description of study population (age, prevalence of malignancy, lesion size and lobar location); study design (prospective, retrospective or unknown); patient enrolment (consecutive or not); interpretation of the test results (blinded or not); and use of guidance modalities.

Further examination of included studies was performed using the QUADAS tool to assess study quality 13. This is a validated tool that assesses 14 domains of design and the presentation of studies of diagnostic accuracy.

Two-by-two contingency tables were created for each study, with patients categorised into one of four options: true positive, false positive, false negative and true negative.

Statistical analysis

Cohen's kappa (κ) co-efficient was calculated using GraphPad quickcalcs (www.graphpad.com/quickcalcs) to determine the inter-observer agreement for selection of studies.

Meta-analysis was performed using Meta-DiSc (Version 1.4) 14. A p-value <0.05 was considered to be statistically significant. Extracted data was pooled with weighted averages applied, in which the weight of each study was its sample size. As no diagnostic threshold exists for histological diagnoses, symmetrical summary-receiver operating characteristic (SROC) curves, as described by Moses et al. 15, were constructed to summarise the results quantitatively.

Study heterogeneity was assessed by the I2 index, which describes the percentage of total variation across studies that is due to heterogeneity rather than chance 16. A value >50% may be considered indicative of significant heterogeneity 17. If heterogeneity was demonstrated, sub-group analysis was performed according to common methodological/clinical features of the studies to identify possible sources of heterogeneity.

Linear regression was performed to analyse relationships between continuous variables using GraphPad Prism 5 for Mac OS X (GraphPad Software, La Jolla, CA. USA).

RESULTS

Literature search and study selection

The bibliographic search identified 968 papers for consideration. Following review of abstracts, 24 articles were selected for full text review. Of these, eight were excluded: two papers enrolled less than 30 patients 18, 19; three papers examined ultrasound features of malignancy but did not report diagnostic performance of EBUS 20–22; two papers were not published in English 23, 24; and one paper was a review article 25. Therefore 16 studies formed the basis of our systematic review 12, 26–40. Inter-observer agreement for selection of studies was high: κ = 0.855 (95% CI 0.587–1.132).

Study description and quality assessment

The mean number of participants per study was 89 (median 87; range 30–158), with a total of 1,420 subjects. The prevalence of malignancy was reported in 13 studies, with the median study prevalence being 68% (range 50–84%), and overall pooled prevalence being 72%. There was wide variation in the conditions under which EBUS-TBLB was performed, with several studies utilising additional guidance devices including guide sheaths 26–28, 30–33, 36, 37, 40, fluoroscopy 27, 28, 30, 32, 37, electromagnetic navigation 33 and virtual bronchoscopy 36, 37. Study characteristics are recorded in table 2.

View this table:
  • View inline
  • View popup
Table 2– Main characteristics of selected studies

Our application of the QUADAS tool revealed that there were generally low scores in all of the eligible papers (see supplementary data). Only one study performed EBUS-TBLB in comparison to a traditional biopsy method which could serve as a reference standard 12. As a result, all other studies were only assessable in six of the QUADAS domains. The highest score was only 8 out of a possible 14 12, the lowest was only 2 (out of a possible 6), with a mean of 3.3. In all studies it was unclear if the spectrum of study subjects was representative of the patients who would receive the test in practice, and in only seven studies were selection criteria clearly described.

Test performance: meta-analysis

Results for sensitivity for detection of malignancy in individual studies ranged from 49% 40 to 88% 26. Only 13 studies presented data sufficient to allow inclusion in meta-analysis 12, 26–33, 36, 37, 39, 40: one study did not present raw data 35, and two studies reported incomplete data 34, 38. Meta-analysis from these 13 studies (1,090 patients) demonstrated a point specificity for pooled data of 1.00 (95% CI 0.99–1.00). No heterogeneity in specificity was found (I2 0.0%; Chi-squared 0.00; p = 1.00).

The point sensitivity for pooled data was 0.73 (95% CI 0.70–0.76) (fig. 2) and the area under the SROC curve (fig. 3) was 0.9376 (se 0.049). Diagnostic odds ratio was 103.75 (95% CI 46.4–231.7). The results correspond to a positive likelihood ratio of 26.84 (95% CI 12.60–57.20) and a negative likelihood ratio of 0.28 (95% CI 0.23–0.36). Significant heterogeneity between sensitivity of individual studies was observed (I2 75%; Chi-squared 47.92; p<0.0001). To explore the possible source of heterogeneity, subgroup analyses were applied (table 3).

Figure 2–
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2–

Forest plot of sensitivity.

Figure 3–
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 3–

Summary receiver-operator characteristic curve.

View this table:
  • View inline
  • View popup
Table 3– Results of pooled analysis and heterogeneity

No heterogeneity was found among studies with prevalence of malignancy greater than 75% (sensitivity 0.83 (95% CI 0.78–0.88); I2 37%; Chi-squared 4.73; p = 0.193). Further analysis using linear regression demonstrated a weak positive association between prevalence of malignancy and sensitivity (p = 0.0872). Using the robust regression method 41 we identified two studies as outliers. The excluded studies were a retrospective chart review performed to “evaluate factors predicting the visualisation of EBUS in PPL” 39, and a prospective series of 100 patients with PPL <2 cm where mean size was just 15 mm (range 9–20 mm) 40. Exclusion of these studies from linear regression analysis demonstrated a significant relationship between prevalence of malignancy and study sensitivity (y 41.1±8.1; r2 = 0.676; p = 0.002) (fig. 4).

Figure 4–
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 4–

Results of linear regression examination of a relationship between prevalence of malignancy and reported sensitivity of individual studies. Each study is represented by ▪. The outliers have not been included in calculation of the regression line. Study sensitivity was correlated with prevalence of malignancy in patients with peripheral pulmonary nodules. y: 41.1±8.1; r2: 0.676; p = 0.002. •: studies detected as outliers.

Analysis of studies with prevalence of malignancy <75% following removal of studies identified as outliers demonstrated no heterogeneity (sensitivity 0.73 (95% CI 0.69–0.77); I2 20%; Chi-squared 8.8; p = 0.268). Therefore, we identified prevalence of malignancy as a possible source of heterogeneity in EBUS-TBLB.

Significant heterogeneity was noted between studies with median lesion size <25 mm, and also between studies with median lesion size >25 mm (data not shown). Removal of outliers resulted in a finding of no heterogeneity was found between studies with median lesion size <25 mm (I2 13%; Chi-squared 5.74; p = 0.332), although significant heterogeneity was still seen for studies with median lesion size ≥25 mm. Linear regression analysis demonstrated no significant relationship between prevalence of malignancy and lesion size (y 9.54±8.6; r2 = 0.269; p = 0.124), or between lesion size and study sensitivity (y 9.35±9.4; r2 = 0.186; p = 0.161). Variation in size of PPLs may also contribute to heterogeneity, although the evidence supporting this contention is less clear.

Sub-group analysis according to the means of confirmation of diagnosis of non-diagnostic EBUS-TBLB demonstrated no heterogeneity among studies in whom all subjects underwent histological confirmation by alternate means (sensitivity 0.83 (95% CI 0.78–0.88); I2 37%; Chi-squared 4.73; p = 0.193). Significant heterogeneity was noted among studies who used non-histological methods to determine a diagnosis in subjects with non-diagnostic EBUS-TBLB or studies which did not specify how diagnoses were determined (sensitivity 0.71 (95% CI 0.68–0.76); I2 56%; Chi-squared 16.1; p = 0.025).

Several studies reported diagnostic performance based on lesion size. Only two studies presented sufficient data to allow pooling of data 36, 37. Therefore, we were unable to perform meta-analysis. However, 10 studies reported overall diagnostic yield for lesions ≤20 mm and for lesions >20 mm. Pooled statistics demonstrated a diagnostic yield of 56.3% (95% CI 51–61%) and 77.7% (95% CI 73–82%) for lesions ≤20 mm (364 patients) and lesions >20 mm (367 patients), respectively. This difference was significant (p = 0.007).

Descriptive review

Several studies examined the influence of specific clinical/radiological features on diagnostic performance. No studies presented sufficiently detailed data to allow meta-analysis of these features. Eight studies examined the effect of lobar position of PPL on diagnostic yield. Yamada et al. 27 noted a higher yield for PPLs positioned in the right middle lobe and lingular lobe, Eberhardt et al. 40 noted higher yield in the right middle and right lower lobes and Kurimoto et al. 30 noted a significantly lower yield for the apicoposterior left upper lobe segment. However, the remaining five studies noted no significant effect of lobar position on diagnostic yield 27, 33, 35, 36, 39.

While two studies indicated a higher sensitivity for detection of malignant compared to benign lesions 33, 35, six studies reported no difference in diagnostic sensitivity based on lesion pathology 26, 27, 30, 32, 39, 40.

Unsurprisingly, identification of PPL position by the EBUS probe was associated with higher diagnostic sensitivity in all seven studies that examined this clinical feature 27, 28, 30, 34, 35, 39, 40. In addition, proximity of PPL to the pulmonary hilum was reported to be associated with increased diagnostic yield in both studies describing this feature 32, 39. Only two studies examined the effect of number of samples taken on diagnostic yield, and both noted an improved yield to a plateau of five biopsies 27, 36.

Complication rates

Complication rates were not reported in two studies 27, 28. Complication rates in the remaining 14 studies varied from 0% 29, 36–38 to 7.4% 31. The highest complication rate was noted in a single study and three out of the four patients experiencing complications in this study experienced only minor self-limiting bleeding 31. No patients in any study experienced bleeding requiring intervention. Pneumothorax rate varied from 0% 29, 30, 34, 36–39 to 5.1% 33, with a pooled rate of pneumothorax across 14 studies of 1.0% (11 out of 1,090). The pooled rate of intercostal catheter drainage of pneumothorax was 0.4%. No deaths were reported in any studies.

DISCUSSION

Narrative reviews on EBUS-TBLB have previously been published 42; however, to our knowledge this is the first systematic evaluation and first meta-analysis of published literature on EBUS-TBLB. The results of our analysis indicate very good diagnostic performance of EBUS-TBLB for evaluation of PPLs. Meta-analysis of 13 studies determined a point sensitivity and specificity of 0.73 (95% CI 0.70–0.76) and 1.00 (95% CI 0.99–1.00), respectively. Heterogeneity in sensitivity of EBUS-TBLB was noted (I2 75%; Chi-squared 47.92; p<0.0001). Sub-group analysis strongly suggested that the prevalence of malignancy in the patient cohort undergoing EBUS-TBLB is a source of heterogeneity in diagnostic sensitivity among studies.

Our results also support previous observations that yield of EBUS-TBLB is influenced by PPL size. Subgroup analysis suggested variation in lesion size (table 3) may explain some of the observed heterogeneity in diagnostic sensitivity; however, this remains uncertain as heterogeneity was still seen in studies with median lesion size ≥25 mm. Probability of malignancy in PPLs is recognised to increase with increasing lesion size in both clinical studies 43–45, and in lung cancer screening studies using low-dose CT 46–48. This may explain the potential influence of lesion size on diagnostic sensitivity, although regression analysis failed to demonstrate a significant relationship among the studies analysed. Due to limited availability of data in the primary studies included in the meta-analysis, we were unable to determine if lower prevalence of malignancy in smaller nodules contributed to the observation that sensitivity of EBUS-TBLB is reduced for smaller lesions.

Significant variation is noted in the technique of EBUS-TBLB between institutions, particularly with respect to guidance tools (e.g. fluoroscopy, guide sheath use, etc.). We did not identify any such characteristics as influencing sensitivity. The only procedural feature consistently associated with improved diagnostic sensitivity was the ability to locate a PPL with the EBUS probe.

The two modalities commonly utilised to investigate PPLs are bronchoscopy or CT-guided percutaneous needle biopsy/aspiration (CT-PNB). To our knowledge, no systematic review of CT-PNB for investigation of PPLs has previously been published. Recently, published evidence-based clinical practice guidelines reviewed CT-guided needle biopsy and observed that sensitivity for detection of malignancy using CT-PNB in most studies exceeds 90%; however, ∼20% of procedures were non-diagnostic 49, reflecting the lower yield of CT-PNB in benign conditions.

Investigation of PPL with bronchoscopy, while associated with a low complication rate 1, was previously limited by poor diagnostic performance, even with fluoroscopic guidance. Previous meta-analysis of this technique noted an overall diagnostic sensitivity of 33% for lesions with diameter ≤2 cm, and 62% for lesions >2 cm 50. EBUS-TBLB has improved diagnostic yield of bronchoscopic investigation of PPLs to a level more comparable to CT-PNB, with improvement in sensitivity most apparent for smaller lesions. While diagnostic yield in routine bronchoscopy is notably lower for smaller PPLs 1, 5, 6, we noted a pooled diagnostic yield for PPLs ≤20 mm of 56.3% (95% CI 51–61%), which is only slightly reduced in comparison to PPL >20 mm (yield 77.7% (95% CI 73–82%)).

While diagnostic yield does not exceed CT-PNB, the major advantage of EBUS-TBLB over CT-PNB is its safety profile. Our meta-analysis demonstrated an overall pneumothorax rate of just 1.0%, and an overall intercostal drain insertion rate of 0.4%. In comparison, many studies describing CT-PNB report pneumothorax rates >25% 49, 51–54, and as high as 69% 55, with many of these patients requiring admission or even intercostal catheter drainage. Pulmonary haemorrhage is less frequent, but still complicates 1–10% of CT-PNB 51, 52.

Limitations

The major limitation of our findings is the quality of studies included in the meta-analysis. It is unclear whether the patient populations in individual studies are consistent, as selection criteria were not clear in a majority of studies. Therefore, it is unclear if the spectrum of study subjects was representative of patients who would undergo EBUS-TBLB in clinical practice. This may induce heterogeneity in sensitivity in between studies, and potentially limits the generalisability of our results.

In addition, a number of features influencing performance of EBUS-TBNA were not described in most papers included in our meta-analysis. These include bronchoscopist experience, number of biopsies taken, proximity of PPL to central airways and radiological appearance of PPLs (e.g. solid versus ground-glass opacity).

While two studies determined that lobar location of PPLs may influence diagnostic sensitivity, a majority of studies that examined the influence of lobar position did not detect any effect on sensitivity. No studies presented sufficient data to allow meta-analysis; therefore, the effect of lobar position on sensitivity of EBUS-TBLB remains unresolved.

Implications for practice and future research

Our analysis calculated a negative likelihood ratio of 0.28 (0.23–0.36) for EBUS-TBLB. It is clear that non-diagnostic EBUS-TBLB should not serve as sufficient reassurance of the absence of malignancy and patients with negative results following EBUS-TBLB should be strongly considered for further investigation to exclude the possibility of cancer.

The relationship demonstrated between prevalence of malignancy and sensitivity of EBUS-TBLB has significant implications for clinical management of incidentally detected pulmonary nodules. It suggests that diagnostic yield of EBUS-TBLB may be influenced by the probability of malignancy for a given patient. The incidence of malignancy in nodules detected by low-dose CT in lung cancer screening trials is much lower than observed in studies included in this meta-analysis, varying from 13% 46 to <2% 56, 57. Incidental PPLs are frequently detected on imaging performed for other clinical indications 58–60, and such lesions may warrant a different approach to tissue diagnosis than clinically apparent PPLs.

Selection between EBUS-TBLB and CT-PNB may be possible based on clinical and radiological features of individual patients. For example, radiological findings may predict a lower sensitivity of EBUS-TBLB (e.g. lesions positioned in apicoposterior bronchial segments 30, or pleurally based or sub-pleural lesions 32, 39) or a higher rate of complications with CT-PNB (e.g. perihilar lesions 32, 51, 52, 54, 61, COPD/emphysema 51–53, 61 or lesion size 51, 53, 61.) Other factors, such as “bronchus sign” 62 or even clinical models, predicting the probability of malignancy in PPLs 43, may be helpful in determining optimal investigation approaches for individual patients. Future studies are required to inform construction of such a clinical algorithm.

Future studies reporting on EBUS-TBLB need to clearly outline the selection process for inclusion and should ideally describe clinicoradiologic characteristics and include a description of each of these performance issues to allow improved understanding of the features that predict diagnostic yield of EBUS-TBLB. This could then be used to inform clinical decisions regarding the optimal approach to investigation for individual patients. Given the discrepancy in sensitivity and complication rates between EBUS-TBLB and CT-PNB, we suggest economic analyses are also warranted. The lower complication rate of EBUS-TBLB may mean that, despite a lower diagnostic yield, the procedure may still be cost-effective. Such evidence may also guide clinicians in the future investigation of patients presenting with PPLs.

Conclusions

Our study confirms overall test performance characteristics of EBUS-TBLB for the investigation of PPLs is very good in the population of patients included in the studies in this review, with excellent specificity and sensitivity markedly higher than for routine bronchoscopy, although lower than for CT-PNB. However, our results indicate an extremely favourable safety profile of EBUS-TBLB, supporting initial investigation of patients with PPLs using EBUS-TBLB. Diagnostic sensitivity of EBUS-TBLB may be influenced by the prevalence of malignancy in the patient cohort being examined. Further methodologically rigorous studies are required to evaluate the generalisability of the results to more clearly defined patient populations. Studies examining the influence on test performance of prevalence of malignancy, as well as other specific clinical and radiological features, particularly PPL position, are still required.

Footnotes

  • This article has supplementary data available from www.erj.ersjournals.com

  • Support Statement

    D.P. Steinfort is supported by a Post-graduate research scholarship from the National Health and Medical Research Council of Australia.

  • Statement of Interest

    A statement of interest for D.P. Steinfort can be found at www.erj.ersjournals.com/site/misc/statements.xhtml

  • Received May 13, 2010.
  • Accepted July 5, 2010.
  • ©ERS 2011

REFERENCES

  1. ↵
    1. Gould MK,
    2. Fletcher J,
    3. Iannettoni MD,
    4. et al
    . Evaluation of patients with pulmonary nodules: when is it lung cancer? ACCP evidence-based clinical practice guidelines (2nd edition). Chest 2007; 132 Suppl. 3:108S–130S.
    OpenUrlCrossRefPubMedWeb of Science
  2. ↵
    1. Wilson DO,
    2. Weissfeld JL,
    3. Fuhrman CR,
    4. et al
    . The Pittsburgh Lung Screening Study (PLuSS): outcomes within 3 years of a first computed tomography scan. Am J Respir Crit Care Med 2008; 178: 956–961.
    OpenUrlCrossRefPubMedWeb of Science
    1. Swensen SJ,
    2. Jett JR,
    3. Hartman TE,
    4. et al
    . CT screening for lung cancer: five-year prospective experience. Radiology 2005; 235: 259–265.
    OpenUrlCrossRefPubMedWeb of Science
  3. ↵
    1. Pastorino U,
    2. Bellomi M,
    3. Landoni C,
    4. et al
    . Early lung-cancer detection with spiral CT and positron emission tomography in heavy smokers: 2-year results. Lancet 2003; 362: 593–597.
    OpenUrlCrossRefPubMedWeb of Science
  4. ↵
    1. Wallace JM,
    2. Deutsch AL
    . Flexible fiberoptic bronchoscopy and percutaneous needle lung aspiration for evaluating the solitary pulmonary nodule. Chest 1982; 81: 665–671.
    OpenUrlCrossRefPubMedWeb of Science
  5. ↵
    1. Roth K,
    2. Hardie JA,
    3. Andreassen AH,
    4. et al
    . Predictors of diagnostic yield in bronchoscopy: a retrospective cohort study comparing different combinations of sampling techniques. BMC Pulm Med 2008; 8: 2.
    OpenUrlCrossRefPubMed
  6. ↵
    1. Cox ID,
    2. Bagg LR,
    3. Russell NJ,
    4. et al
    . Relationship of radiologic position to the diagnostic yield of fiberoptic bronchoscopy in bronchial carcinoma. Chest 1984; 85: 519–522.
    OpenUrlCrossRefPubMedWeb of Science
  7. ↵
    1. Rial MB,
    2. Delgado MN,
    3. Sanmartin AP,
    4. et al
    . Multivariate study of predictive factors for clearly defined lung lesions without visible endobronchial lesions in transbronchial biopsy. Surg Endosc 2010; 24: 3031–3036.
    OpenUrlCrossRefPubMedWeb of Science
  8. ↵
    1. Rittirak W,
    2. Sompradeekul S
    . Diagnostic yield of fluoroscopy-guided transbronchial lung biopsy in non-endobronchial lung lesion. J Med Assoc Thai 2007; 90 Suppl. 2:68–73.
    OpenUrlPubMed
  9. ↵
    1. Chechani V
    . Bronchoscopic diagnosis of solitary pulmonary nodules and lung masses in the absence of endobronchial abnormality. Chest 1996; 109: 620–625.
    OpenUrlCrossRefPubMedWeb of Science
  10. ↵
    1. Ost D,
    2. Shah R,
    3. Anasco E,
    4. et al
    . A randomized trial of CT fluoroscopic-guided bronchoscopy vs conventional bronchoscopy in patients with suspected lung cancer. Chest 2008; 134: 507–513.
    OpenUrlCrossRefPubMed
  11. ↵
    1. Herth FJ,
    2. Ernst A,
    3. Becker HD
    . Endobronchial ultrasound-guided transbronchial lung biopsy in solitary pulmonary nodules and peripheral lesions. Eur Respir J 2002; 20: 972–974.
    OpenUrlAbstract/FREE Full Text
  12. ↵
    1. Whiting P,
    2. Rutjes AW,
    3. Reitsma JB,
    4. et al
    . The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Res Methodol 2003; 3: 25.
    OpenUrlCrossRefPubMed
  13. ↵
    1. Zamora J,
    2. Abraira V,
    3. Muriel A,
    4. et al
    . Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Med Res Methodol 2006; 6: 31.
    OpenUrlCrossRefPubMed
  14. ↵
    1. Moses LE,
    2. Shapiro D,
    3. Littenberg B
    . Combining independent studies of a diagnostic test into a summary ROC curve: data-analytic approaches and some additional considerations. Stat Med 1993; 12: 1293–1316.
    OpenUrlCrossRefPubMedWeb of Science
  15. ↵
    1. Higgins JP,
    2. Thompson SG,
    3. Deeks JJ,
    4. et al
    . Measuring inconsistency in meta-analyses. BMJ 2003; 327: 557–560.
    OpenUrlFREE Full Text
  16. ↵
    1. Dinnes J,
    2. Deeks J,
    3. Kirby J,
    4. et al
    . A methodological review of how heterogeneity has been examined in systematic reviews of diagnostic test accuracy. Health Technol Assess 2005; 9: 1–113.
    OpenUrlPubMed
  17. ↵
    1. Koh MS,
    2. Tee A,
    3. Wong P,
    4. et al
    . Advances in lung cancer diagnosis and staging: endobronchial ultrasound. Intern Med J 2008; 38: 85–89.
    OpenUrlCrossRefPubMedWeb of Science
  18. ↵
    1. Kikuchi E,
    2. Yamazaki K,
    3. Sukoh N,
    4. et al
    . Endobronchial ultrasonography with guide-sheath for peripheral pulmonary lesions. Eur Respir J 2004; 24: 533–537.
    OpenUrlAbstract/FREE Full Text
  19. ↵
    1. Kuo CH,
    2. Lin SM,
    3. Chen HC,
    4. et al
    . Diagnosis of peripheral lung cancer with three echoic features via endobronchial ultrasound. Chest 2007; 132: 922–929.
    OpenUrlCrossRefPubMedWeb of Science
    1. Chao TY,
    2. Lie CH,
    3. Chung YH,
    4. et al
    . Differentiating peripheral pulmonary lesions based on images of endobronchial ultrasonography. Chest 2006; 130: 1191–1197.
    OpenUrlCrossRefPubMedWeb of Science
  20. ↵
    1. Lie CH,
    2. Chao TY,
    3. Chung YH,
    4. et al
    . New image characteristics in endobronchial ultrasonography for differentiating peripheral pulmonary lesions. Ultrasound Med Biol 2009; 35: 376–381.
    OpenUrlCrossRefPubMedWeb of Science
  21. ↵
    1. Kurimoto N
    . [Endobronchial ultrasonography for diagnosis of peripheral pulmonary lesions]. Kyobu Geka 2007; 60 Suppl. 8:724–733.
    OpenUrlPubMed
  22. ↵
    1. Herth F,
    2. Becker HD,
    3. Manegold C,
    4. et al
    . Endobronchial ultrasound (EBUS) – assessment of a new diagnostic tool in bronchoscopy for staging of lung cancer. Onkologie 2001; 24: 151–154.
    OpenUrlCrossRefPubMedWeb of Science
  23. ↵
    1. Sheski FD,
    2. Mathur PN
    . Endobronchial ultrasound. Chest 2008; 133: 264–270.
    OpenUrlCrossRefPubMedWeb of Science
  24. ↵
    1. Yoshikawa M,
    2. Sukoh N,
    3. Yamazaki K,
    4. et al
    . Diagnostic value of endobronchial ultrasonography with a guide sheath for peripheral pulmonary lesions without X-ray fluoroscopy. Chest 2007; 131: 1788–1793.
    OpenUrlCrossRefPubMedWeb of Science
  25. ↵
    1. Yamada N,
    2. Yamazaki K,
    3. Kurimoto N,
    4. et al
    . Factors related to diagnostic yield of transbronchial biopsy using endobronchial ultrasonography with a guide sheath in small peripheral pulmonary lesions. Chest 2007; 132: 603–608.
    OpenUrlCrossRefPubMedWeb of Science
  26. ↵
    1. Shirakawa T,
    2. Imamura F,
    3. Hamamoto J,
    4. et al
    . Usefulness of endobronchial ultrasonography for transbronchial lung biopsies of peripheral lung lesions. Respiration 2004; 71: 260–268.
    OpenUrlCrossRefPubMedWeb of Science
  27. ↵
    1. Paone G,
    2. Nicastri E,
    3. Lucantoni G,
    4. et al
    . Endobronchial ultrasound-driven biopsy in the diagnosis of peripheral lung lesions. Chest 2005; 128: 3551–3557.
    OpenUrlCrossRefPubMedWeb of Science
  28. ↵
    1. Kurimoto N,
    2. Miyazawa T,
    3. Okimasa S,
    4. et al
    . Endobronchial ultrasonography using a guide sheath increases the ability to diagnose peripheral pulmonary lesions endoscopically. Chest 2004; 126: 959–965.
    OpenUrlCrossRefPubMedWeb of Science
  29. ↵
    1. Herth FJ,
    2. Eberhardt R,
    3. Becker HD,
    4. et al
    . Endobronchial ultrasound-guided transbronchial lung biopsy in fluoroscopically invisible solitary pulmonary nodules: a prospective trial. Chest 2006; 129: 147–150.
    OpenUrlCrossRefPubMedWeb of Science
  30. ↵
    1. Fielding DI,
    2. Robinson PJ,
    3. Kurimoto N
    . Biopsy site selection for endobronchial ultrasound guide-sheath transbronchial biopsy of peripheral lung lesions. Intern Med J 2008; 38: 77–84.
    OpenUrlCrossRefPubMedWeb of Science
  31. ↵
    1. Eberhardt R,
    2. Anantham D,
    3. Ernst A,
    4. et al
    . Multimodality bronchoscopic diagnosis of peripheral lung lesions: a randomized controlled trial. Am J Respir Crit Care Med 2007; 176: 36–41.
    OpenUrlCrossRefPubMedWeb of Science
  32. ↵
    1. Dooms CA,
    2. Verbeken EK,
    3. Becker HD,
    4. et al
    . Endobronchial ultrasonography in bronchoscopic occult pulmonary lesions. J Thorac Oncol 2007; 2: 121–124.
    OpenUrlPubMedWeb of Science
  33. ↵
    1. Chung YH,
    2. Lie CH,
    3. Chao TY,
    4. et al
    . Endobronchial ultrasonography with distance for peripheral pulmonary lesions. Respir Med 2007; 101: 738–745.
    OpenUrlCrossRefPubMedWeb of Science
  34. ↵
    1. Asahina H,
    2. Yamazaki K,
    3. Onodera Y,
    4. et al
    . Transbronchial biopsy using endobronchial ultrasonography with a guide sheath and virtual bronchoscopic navigation. Chest 2005; 128: 1761–1765.
    OpenUrlCrossRefPubMedWeb of Science
  35. ↵
    1. Asano F,
    2. Matsuno Y,
    3. Tsuzuku A,
    4. et al
    . Diagnosis of peripheral pulmonary lesions using a bronchoscope insertion guidance system combined with endobronchial ultrasonography with a guide sheath. Lung cancer 2008; 60: 366–373.
    OpenUrlCrossRefPubMedWeb of Science
  36. ↵
    1. Yang MC,
    2. Liu WT,
    3. Wang CH,
    4. et al
    . Diagnostic value of endobronchial ultrasound-guided transbronchial lung biopsy in peripheral lung cancers. J Formos Med Assoc 2004; 103: 124–129.
    OpenUrlPubMedWeb of Science
  37. ↵
    1. Huang CT,
    2. Ho CC,
    3. Tsai YJ,
    4. et al
    . Factors influencing visibility and diagnostic yield of transbronchial biopsy using endobronchial ultrasound in peripheral pulmonary lesions. Respirology 2009; 14: 859–864.
    OpenUrlCrossRefPubMedWeb of Science
  38. ↵
    1. Eberhardt R,
    2. Ernst A,
    3. Herth FJ
    . Ultrasound-guided transbronchial biopsy of solitary pulmonary nodules less than 20 mm. Eur Respir J 2009; 34: 1284–1287.
    OpenUrlAbstract/FREE Full Text
  39. ↵
    1. Motulsky HJ,
    2. Brown RE
    . Detecting outliers when fitting data with nonlinear regression – a new method based on robust nonlinear regression and the false discovery rate. BMC Bioinformatics 2006; 7: 123.
    OpenUrlCrossRefPubMed
  40. ↵
    1. Anantham D,
    2. Koh MS,
    3. Ernst A
    . Endobronchial ultrasound. Respir Med 2009; 103: 1406–1414.
    OpenUrlCrossRefPubMedWeb of Science
  41. ↵
    1. Swensen SJ,
    2. Silverstein MD,
    3. Ilstrup DM,
    4. et al
    . The probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules. Arch Intern Med 1997; 157: 849–855.
    OpenUrlCrossRefPubMedWeb of Science
    1. Gupta NC,
    2. Maloof J,
    3. Gunel E
    . Probability of malignancy in solitary pulmonary nodules using fluorine-18-FDG and PET. J Nucl Med 1996; 37: 943–948.
    OpenUrlAbstract/FREE Full Text
  42. ↵
    1. Dewan NA,
    2. Shehan CJ,
    3. Reeb SD,
    4. et al
    . Likelihood of malignancy in a solitary pulmonary nodule: comparison of Bayesian analysis and results of FDG-PET scan. Chest 1997; 112: 416–422.
    OpenUrlCrossRefPubMedWeb of Science
  43. ↵
    1. Henschke CI,
    2. Yankelevitz DF,
    3. Naidich DP,
    4. et al
    . CT screening for lung cancer: suspiciousness of nodules according to size on baseline scans. Radiology 2004; 231: 164–168.
    OpenUrlCrossRefPubMedWeb of Science
    1. Henschke CI,
    2. Yankelevitz DF,
    3. Mirtcheva R,
    4. et al
    . CT screening for lung cancer: frequency and significance of part-solid and nonsolid nodules. AJR Am J Roentgenol 2002; 178: 1053–1057.
    OpenUrlCrossRefPubMedWeb of Science
  44. ↵
    1. Henschke CI,
    2. McCauley DI,
    3. Yankelevitz DF,
    4. et al
    . Early Lung Cancer Action Project: overall design and findings from baseline screening. Lancet 1999; 354: 99–105.
    OpenUrlCrossRefPubMedWeb of Science
  45. ↵
    1. Wahidi MM,
    2. Govert JA,
    3. Goudar RK,
    4. et al
    . Evidence for the treatment of patients with pulmonary nodules: when is it lung cancer? ACCP evidence-based clinical practice guidelines (2nd edition). Chest 2007; 132 Suppl. 3:94S–107S.
    OpenUrlCrossRefPubMedWeb of Science
  46. ↵
    1. Schreiber G,
    2. McCrory DC
    . Performance characteristics of different modalities for diagnosis of suspected lung cancer: summary of published evidence. Chest 2003; 123 Suppl. 1:115S–128S.
    OpenUrlCrossRefPubMedWeb of Science
  47. ↵
    1. Heyer CM,
    2. Reichelt S,
    3. Peters SA,
    4. et al
    . Computed tomography-navigated transthoracic core biopsy of pulmonary lesions: which factors affect diagnostic yield and complication rates? Acad Radiol 2008; 15: 1017–1026.
    OpenUrlCrossRefPubMedWeb of Science
  48. ↵
    1. Yildirim E,
    2. Kirbas I,
    3. Harman A,
    4. et al
    . CT-guided cutting needle lung biopsy using modified coaxial technique: factors effecting risk of complications. Eur J Radiol 2009; 70: 57–60.
    OpenUrlCrossRefPubMedWeb of Science
  49. ↵
    1. Fukushima A,
    2. Ashizawa K,
    3. Aso N,
    4. et al
    . [CT-guided needle biopsy of the lung: factors affecting risk of complications]. Nippon Igaku Hoshasen Gakkai Zasshi 2001; 61: 96–99.
    OpenUrlPubMed
  50. ↵
    1. Kazerooni EA,
    2. Lim FT,
    3. Mikhail A,
    4. et al
    . Risk of pneumothorax in CT-guided transthoracic needle aspiration biopsy of the lung. Radiology 1996; 198: 371–375.
    OpenUrlPubMedWeb of Science
  51. ↵
    1. Gupta S,
    2. Krishnamurthy S,
    3. Broemeling LD,
    4. et al
    . Small (≤2-cm) subpleural pulmonary lesions: short- versus long-needle-path CT-guided biopsy – comparison of diagnostic yields and complications. Radiology 2005; 234: 631–637.
    OpenUrlPubMedWeb of Science
  52. ↵
    1. Nawa T,
    2. Nakagawa T,
    3. Kusano S,
    4. et al
    . Lung cancer screening using low-dose spiral CT: results of baseline and 1-year follow-up studies. Chest 2002; 122: 15–20.
    OpenUrlCrossRefPubMedWeb of Science
  53. ↵
    1. Swensen SJ,
    2. Jett JR,
    3. Sloan JA,
    4. et al
    . Screening for lung cancer with low-dose spiral computed tomography. Am J Respir Crit Care Med 2002; 165: 508–513.
    OpenUrlCrossRefPubMedWeb of Science
  54. ↵
    1. Hall WB,
    2. Truitt SG,
    3. Scheunemann LP,
    4. et al
    . The prevalence of clinically relevant incidental findings on chest computed tomographic angiograms ordered to diagnose pulmonary embolism. Arch Intern Med 2009; 169: 1961–1965.
    OpenUrlCrossRefPubMedWeb of Science
    1. Husmann L,
    2. Tatsugami F,
    3. Aepli U,
    4. et al
    . Prevalence of noncardiac findings on low dose 64-slice computed tomography used for attenuation correction in myocardial perfusion imaging with SPECT. Int J Cardiovasc Imaging 2009; 25: 859–865.
    OpenUrlCrossRefPubMedWeb of Science
  55. ↵
    1. Rinaldi MF,
    2. Bartalena T,
    3. Giannelli G,
    4. et al
    . Incidental lung nodules on CT examinations of the abdomen: Prevalence and reporting rates in the PACS era. Eur J Radiol 2010; 74: e84–e88.
    OpenUrlCrossRefPubMed
  56. ↵
    1. Cox JE,
    2. Chiles C,
    3. McManus CM,
    4. et al
    . Transthoracic needle aspiration biopsy: variables that affect risk of pneumothorax. Radiology 1999; 212: 165–168.
    OpenUrlPubMedWeb of Science
  57. ↵
    1. Bilaceroglu S,
    2. Kumcuoglu Z,
    3. Alper H,
    4. et al
    . CT bronchus sign-guided bronchoscopic multiple diagnostic procedures in carcinomatous solitary pulmonary nodules and masses. Respiration 1998; 65: 49–55.
    OpenUrlCrossRefPubMedWeb of Science
View Abstract
PreviousNext
Back to top
View this article with LENS
Vol 37 Issue 4 Table of Contents
European Respiratory Journal: 37 (4)
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
Email

Thank you for your interest in spreading the word on European Respiratory Society .

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Radial probe endobronchial ultrasound for the diagnosis of peripheral lung cancer: systematic review and meta-analysis
(Your Name) has sent you a message from European Respiratory Society
(Your Name) thought you would like to see the European Respiratory Society web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
Citation Tools
Radial probe endobronchial ultrasound for the diagnosis of peripheral lung cancer: systematic review and meta-analysis
D.P. Steinfort, Y.H. Khor, R.L. Manser, L.B. Irving
European Respiratory Journal Apr 2011, 37 (4) 902-910; DOI: 10.1183/09031936.00075310

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

Share
Radial probe endobronchial ultrasound for the diagnosis of peripheral lung cancer: systematic review and meta-analysis
D.P. Steinfort, Y.H. Khor, R.L. Manser, L.B. Irving
European Respiratory Journal Apr 2011, 37 (4) 902-910; DOI: 10.1183/09031936.00075310
Reddit logo Technorati logo Twitter logo Connotea logo Facebook logo Mendeley logo
Full Text (PDF)

Jump To

  • Article
    • Abstract
    • METHODS
    • RESULTS
    • DISCUSSION
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • PDF

Subjects

  • Lung cancer
  • Tweet Widget
  • Facebook Like
  • Google Plus One

More in this TOC Section

Original Article

  • Lung volumes and survival in chronic lung allograft dysfunction
  • Aspergillus fumigatus in COPD
  • Calcineurin inhibitors in bronchiolitis obliterans syndrome
Show more Original Article

Thoracic Oncology

  • Non-inferiority trials in advanced NSCLC
  • The lung cancer patient, the pneumologist and palliative care
  • thoracic oncology
Show more Thoracic Oncology

Related Articles

Navigate

  • Home
  • Current issue
  • Archive

About the ERJ

  • Journal information
  • Editorial board
  • Press
  • Permissions and reprints
  • Advertising

The European Respiratory Society

  • Society home
  • myERS
  • Privacy policy
  • Accessibility

ERS publications

  • European Respiratory Journal
  • ERJ Open Research
  • European Respiratory Review
  • Breathe
  • ERS books online
  • ERS Bookshop

Help

  • Feedback

For authors

  • Instructions for authors
  • Publication ethics and malpractice
  • Submit a manuscript

For readers

  • Alerts
  • Subjects
  • Podcasts
  • RSS

Subscriptions

  • Accessing the ERS publications

Contact us

European Respiratory Society
442 Glossop Road
Sheffield S10 2PX
United Kingdom
Tel: +44 114 2672860
Email: journals@ersnet.org

ISSN

Print ISSN:  0903-1936
Online ISSN: 1399-3003

Copyright © 2023 by the European Respiratory Society