Skip to main content
Log in

Computed Tomography Findings of Bronchiectasis in Different Respiratory Phases Correlate with Pulmonary Function Test Data in Adults

  • Airways Disease
  • Published:
Lung Aims and scope Submit manuscript

Abstract

Objective

To investigate bronchiectasis variations in different computed tomography (CT) respiratory phases, and their correlation with pulmonary function test (PFT) data, in adults.

Methods

Retrospective data analysis from 63 patients with bronchiectasis according to CT criteria selected from the institution database and for whom PFT data were also available. Bronchiectasis diameter was measured on inspiratory and expiratory phases. Its area and matched airway–vessel ratios in both phases were also calculated. Finally, PFT results were compared with radiological measurements.

Results

Bronchiectatic airways were larger on inspiration than on expiration (mean cross-sectional area, 69.44 vs. 40.84 mm2; p < 0.05) as were airway–vessel ratios (2.1 vs. 1.4; p < 0.05). Cystic bronchiectasis cases showed the least variation in cross-sectional area (48%). Mean predicted values of forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC) were 81.5 and 77.2%, respectively, in the group in which bronchiectasis could not be identified on expiratory images, and 58.3 and 56.0%, respectively, in the other group (p < 0.05). Variation in bronchiectasis area was associated with poorer lung function (r = 0.32).

Conclusion

Bronchiectasis detection, diameter, and area varied significantly according to CT respiratory phase, with non-reducible bronchiectasis showing greater lung function impairment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Abbreviations

CT:

Computed tomography

PFT:

Pulmonary function test

FEV1:

Forced expiratory volume in 1 s

FVC:

Forced vital capacity

References

  1. Barker AF (2002) Bronchiectasis. N Engl J Med 346:1383–1393

    Article  PubMed  Google Scholar 

  2. King P, Holdsworth S, Freezer N, Holmes P (2006) Bronchiectasis. Intern Med J 36(11):729–37

    Article  CAS  PubMed  Google Scholar 

  3. Milliron B, Henry TS, Veeraraghavan S, Little BP (2015) Bronchiectasis: mechanisms and imaging clues of associated common and uncommon diseases. Radiographics 35(4):1011–30

    Article  PubMed  Google Scholar 

  4. Cole PJ (1986) Inflammation: a two-edged sword—the model of bronchiectasis. Eur J Respir Dis Suppl 147:6–15

    CAS  PubMed  Google Scholar 

  5. Pasteur MC, Bilton D, Hill AT, British Thoracic Society Bronchiectasis non-CF Guideline Group (2010) British Thoracic Society guideline for non-CF bronchiectasis. Thorax 65(Suppl. 1):i1–i58

    Article  PubMed  Google Scholar 

  6. Diederich S, Roos N, Thomas M, Peters PE (1996) Diagnostic imaging in bronchiectasis: value of CT and HRCT. Radiologe 36:550–559 (in German)

    Article  CAS  PubMed  Google Scholar 

  7. Hansell DM (1998) Bronchiectasis. Radiol Clin North Am 36:107–128

    Article  CAS  PubMed  Google Scholar 

  8. Hansell DM, Bankier AA, MacMahon H, McLoud TC, Müller NL, Remy J (2008) Fleischner Society: glossary of terms for thoracic imaging. Radiology 246(3):697–722. doi:10.1148/radiol.2462070712

    Article  PubMed  Google Scholar 

  9. Lynch DA, Newell JD, Tschomper BA et al (1993) Uncomplicated asthma in adults: comparison of CT appearance of the lungs in asthmatic and healthy subjects. Radiology 188:829–833

    Article  CAS  PubMed  Google Scholar 

  10. Dodd JD, Souza CA, Muller NL (2006) Conventional high-resolution CT versus helical high-resolution MDCT in the detection of bronchiectasis. AJR Am J Roentgenol 187:414–420

    Article  PubMed  Google Scholar 

  11. Grenier P, Maurice F, Musset D et al (1986) Bronchiectasis: assessment by thin-section CT. Radiology 161:95–99

    Article  CAS  PubMed  Google Scholar 

  12. Loeve M, Lequin MH, deBruijne et al (2009) Cystic fibrosis: are volumetric ultra-low-dose expiratory CT scans sufficient for monitoring related lung disease? Radiology 253:223–229

    Article  PubMed  Google Scholar 

  13. Tiddens HA, de Jong PA (2006) Update on the application of chest computed tomography scanning to cystic fibrosis. Curr Opin Pulm Med 12:433–439

    Article  PubMed  Google Scholar 

  14. Martinez TM, Llapur CJ, Williams TH et al (2005) High-resolution computed tomography imag- ing of airway disease in infants with cystic fibrosis. Am J Respir Crit Care Med 172:1133–1138

    Article  PubMed  PubMed Central  Google Scholar 

  15. Bonnel AS, Song SM, Kesavarju K et al (2004) Quantitative air-trapping analysis in children with mild cystic fibrosis lung disease. Pediatr Pulmonol 38:396–405

    Article  PubMed  Google Scholar 

  16. Mott LS, Graniel KG, Park J et al (2013) Assessment of early bronchiectasis in young children with cystic fibrosis is dependent on lung volume. Chest 144:1193–1198

    Article  PubMed  Google Scholar 

  17. Johns DP, Walters JA, Walters EH (2014) Diagnosis and early detection of COPD using spirometry. J Thorac Dis 6(11):1557–1569

    PubMed  PubMed Central  Google Scholar 

  18. Miller MR, Crapo R, Hankinson J et al (2005) Standardisation of spirometry. ATS/ERS task force: standardisation of lung function testing. Eur Respir J 26:319–338

    Article  CAS  PubMed  Google Scholar 

  19. da Silva LCC, Rubin AS, da Silva LMC, Fernandes JC (2005) Spirometry in medical practice. Rev AMRIGS 49(3):183–194

    Google Scholar 

  20. Timmins SC, Diba C, Farrow CE et al (2012) The relationship between airflow obstruction, emphysema extent, and small airways function in COPD. Chest 142:312–319

    Article  PubMed  Google Scholar 

  21. Chung JH, Kanne JP, Gilman MD (2011) CT of diffuse tracheal disease. AJR Am J Roentgenol 196:W240–W246. doi:10.2214/AJR.09.4146

    Article  PubMed  Google Scholar 

  22. Reid LM (1950) Reduction in bronchial subdivision in bronchiectasis. Thorax 5(3):233–247

    Article  PubMed  PubMed Central  Google Scholar 

  23. Tanaka N, Matsumoto T, Miura G et al (2003) Air trapping at CT: high prevalence in asymptomatic subjects with normal pulmonary function. Radiology 227:776–785

    Article  PubMed  Google Scholar 

  24. de Jong PA, Long FR, Nakano Y et al (2006 Oct) Computed tomography dose and variability of airway dimension measurements: how low can we go? Pediatr Radiol 36(10):1043–1047

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ricardo Holderbaum do Amaral.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest.

Ethical Approval

All procedures performed in this study were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was waived according to the institution ethics committee resolution.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

do Amaral, R.H., Nin, C.S., de Souza, V.V.S. et al. Computed Tomography Findings of Bronchiectasis in Different Respiratory Phases Correlate with Pulmonary Function Test Data in Adults. Lung 195, 347–351 (2017). https://doi.org/10.1007/s00408-017-9995-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00408-017-9995-3

Keywords

Navigation