Skip to main content
Log in

Region of interest-based versus whole-lung segmentation-based approach for MR lung perfusion quantification in 2-year-old children after congenital diaphragmatic hernia repair

  • Paediatric
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objective

With a region of interest (ROI)-based approach 2-year-old children after congenital diaphragmatic hernia (CDH) show reduced MR lung perfusion values on the ipsilateral side compared to the contralateral. This study evaluates whether results can be reproduced by segmentation of whole-lung and whether there are differences between the ROI-based and whole-lung measurements.

Methods

Using dynamic contrast-enhanced (DCE) MRI, pulmonary blood flow (PBF), pulmonary blood volume (PBV) and mean transit time (MTT) were quantified in 30 children after CDH repair. Quantification results of an ROI-based (six cylindrical ROIs generated of five adjacent slices per lung-side) and a whole-lung segmentation approach were compared.

Results

In both approaches PBF and PBV were significantly reduced on the ipsilateral side (p always <0.0001). In ipsilateral lungs, PBF of the ROI-based and the whole-lung segmentation-based approach was equal (p=0.50). In contralateral lungs, the ROI-based approach significantly overestimated PBF in comparison to the whole-lung segmentation approach by approximately 9.5 % (p=0.0013).

Conclusions

MR lung perfusion in 2-year-old children after CDH is significantly reduced ipsilaterally. In the contralateral lung, the ROI-based approach significantly overestimates perfusion, which can be explained by exclusion of the most ventral parts of the lung. Therefore whole-lung segmentation should be preferred.

Key Points

• Ipsilaterally, absolute lung perfusion after CDH is reduced in whole-lung analysis.

• Ipsilaterally, the ROI- and whole-lung-based approaches generate identical results.

• Contralaterally, the ROI-based approach significantly overestimates perfusion results.

• Whole lung should be analysed in MR lung perfusion imaging.

• MR lung perfusion measurement is a radiation-free parameter of lung function.

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
Fig. 4

Similar content being viewed by others

Abbreviations

AIF:

Arterial input function

CDH:

Congenital diaphragmatic hernia

DCE-MRI:

Dynamic contrast-enhanced magnetic resonance imaging

ECMO:

Extracorporeal membrane oxygenation

MTT:

Mean transit time

PBF:

Pulmonary blood flow

PBV:

Pulmonary blood volume

ROI:

Region of interest

TWIST:

Time-resolved angiography with stochastic trajectories (TWIST)

References

  1. Stege G, Fenton A, Jaffray B (2003) Nihilism in the 1990s: the true mortality of congenital diaphragmatic hernia. Pediatrics 112:532–535

    Article  PubMed  Google Scholar 

  2. Wright JC, Budd JL, Field DJ, Draper ES (2011) Epidemiology and outcome of congenital diaphragmatic hernia: a 9-year experience. Paediatr Perinat Epidemiol 25:144–149

    Article  PubMed  Google Scholar 

  3. Skari H, Bjornland K, Haugen G, Egeland T, Emblem R (2000) Congenital diaphragmatic hernia: a meta-analysis of mortality factors. J Pediatr Surg 35:1187–1197

    Article  CAS  PubMed  Google Scholar 

  4. Madderom MJ, Toussaint L, van der Cammen-van Zijp MHM et al (2012) Congenital diaphragmatic hernia with(out) ECMO: impaired development at 8 years. Archives of disease in childhood. Fetal and neonatal ed. doi:10.1136/archdischild-2012-303020

    Google Scholar 

  5. Spoel M, van der Cammen-van Zijp MHM, Hop WCJ, Tibboel D, de Jongste JC, Ijsselstijn H (2013) Lung function in young adults with congenital diaphragmatic hernia; a longitudinal evaluation. Pediatr Pulmonol 48:130–137

    Article  PubMed  Google Scholar 

  6. Stefanutti G, Filippone M, Tommasoni N et al (2004) Cardiopulmonary anatomy and function in long-term survivors of mild to moderate congenital diaphragmatic hernia. J Pediatr Surg 39:526–531

    Article  PubMed  Google Scholar 

  7. Panitch HB, Weiner DJ, Feng R et al (2014) Lung function over the first 3 years of life in children with congenital diaphragmatic hernia. Pediatr Pulmonol. doi:10.1002/ppul.23082

    Google Scholar 

  8. Escobar H, Carver TW Jr (2011) Pulmonary function testing in young children. Curr allergy asthma rep 11:473–481

    Article  PubMed  Google Scholar 

  9. Waag KL, Loff S, Zahn K et al (2008) Congenital diaphragmatic hernia: a modern day approach. Semin Pediatr Surg 17(4):244–254

    Article  PubMed  Google Scholar 

  10. Cruz-Martinez R, Moreno-Alvarez O, Hernandez-Andrade E et al (2011) Changes in lung tissue perfusion in the prediction of survival in fetuses with congenital diaphragmatic hernia treated with fetal endoscopic tracheal occlusion. Fetal Diagn Ther 29(1):101–107

    Article  PubMed  Google Scholar 

  11. Pal K, Gupta DK (2010) Serial perfusion study depicts pulmonary vascular growth in the survivors of non-extracorporeal membrane oxygenation-treated congenital diaphragmatic hernia. Neonatology 98(3):254–259

    Article  CAS  PubMed  Google Scholar 

  12. Ley S, Ley-Zaporozhan J (2012) Pulmonary perfusion imaging using MRI: clinical application. Insights into imaging 3(1):61–71

    Article  PubMed  Google Scholar 

  13. Weidner M, Zoellner FG, Hagelstein C et al (2014) High temporal versus high spatial resolution in MR quantitative pulmonary perfusion imaging of two-year old children after congenital diaphragmatic hernia repair. Eur Radiol 24(10):2427–2434

    Article  CAS  PubMed  Google Scholar 

  14. Zoellner FG, Zahn K, Schaible T, Schoenberg SO, Schad LR, Neff KW (2012) Quantitative pulmonary perfusion imaging at 3.0 T of 2-year-old children after congenital diaphragmatic hernia repair: initial results. Eur Radiol 22:2743–2749

    Article  Google Scholar 

  15. Zoellner FG, Weisser G, Reich M et al (2013) UMMPerfusion: an open source software tool towards quantitative MRI perfusion analysis in clinical routine. J Digit imaging : Off J Soc Comput Appl Radiol 26:344–352

    Article  Google Scholar 

  16. Sourbron S, Dujardin M, Makkat S, Luypaert R (2007) Pixel-by-pixel deconvolution of bolus-tracking data: optimization and implementation. Phys Med Biol 52:429–447

    Article  CAS  PubMed  Google Scholar 

  17. Nikolaou K, Schoenberg SO, Brix G et al (2004) Quantification of pulmonary blood flow and volume in healthy volunteers by dynamic contrast-enhanced magnetic resonance imaging using a parallel imaging technique. Investig Radiol 39:537–545

    Article  Google Scholar 

  18. Ijsselstijn H, van Heijst AF (2014) Long-term outcome of children treated with neonatal extracorporeal membrane oxygenation: increasing problems with increasing age. Semin Perinatol 38:114–121

    Article  PubMed  Google Scholar 

  19. Wright T, Filbrun A, Bryner B, Mychaliska G (2014) Predictors of early lung function in patients with congenital diaphragmatic hernia. J Pediatr Surg 49:882–885

    Article  PubMed  Google Scholar 

  20. Bjorkman KC, Kjellberg M, Bergstrom SE et al (2011) Postoperative regional distribution of pulmonary ventilation and perfusion in infants with congenital diaphragmatic hernia. J Pediatr Surg 46:2047–2053

    Article  PubMed  Google Scholar 

  21. Hayward MJ, Kharasch V, Sheils C et al (2007) Predicting inadequate long-term lung development in children with congenital diaphragmatic hernia: an analysis of longitudinal changes in ventilation and perfusion. J Pediatr Surg 42:112–116

    Article  PubMed  Google Scholar 

  22. Ohno Y, Hatabu H, Murase K et al (2004) Quantitative assessment of regional pulmonary perfusion in the entire lung using three-dimensional ultrafast dynamic contrast-enhanced magnetic resonance imaging: Preliminary experience in 40 subjects. J Magn Reson Imaging : JMRI 20:353–365

    Article  PubMed  Google Scholar 

  23. Ley-Zaporozhan J, Molinari F, Risse F et al (2011) Repeatability and reproducibility of quantitative whole-lung perfusion magnetic resonance imaging. J Thorac Imaging 26:230–239

    Article  PubMed  Google Scholar 

  24. Fink C, Puderbach M, Bock M et al (2004) Regional lung perfusion: assessment with partially parallel three-dimensional MR imaging. Radiology 231:175–184

    Article  PubMed  Google Scholar 

  25. Fink C, Ley S, Risse F et al (2005) Effect of inspiratory and expiratory breathhold on pulmonary perfusion: assessment by pulmonary perfusion magnetic resonance imaging. Investig Radiol 40:72–79

    Article  Google Scholar 

  26. Heye T, Merkle EM, Reiner CS et al (2013) Reproducibility of dynamic contrastenhanced MR imaging. Part II. Comparison of intra- and interobserver variability with manual region of interest placement versus semiautomatic lesion segmentation and histogram analysis. Radiology 266:812–821

    Article  PubMed  Google Scholar 

  27. Bauman G, Lutzen U, Ullrich M et al (2011) Pulmonary functional imaging: qualitative comparison of Fourier decomposition MR imaging with SPECT/CT in porcine lung. Radiology 260:551–559

    Article  PubMed  Google Scholar 

  28. Clark AR, Tawhai MH, Hoffman EA, Burrowes KS (2011) The interdependent contributions of gravitational and structural features to perfusion distribution in a multiscale model of the pulmonary circulation. J Appl Physiol (Bethesda, Md : 1985) 110:943–955

    Article  CAS  Google Scholar 

  29. Hopkins SR, Arai TJ, Henderson AC, Levin DL, Buxton RB, Kim Prisk G (2010) Lung volume does not alter the distribution of pulmonary perfusion in dependent lung in supine humans. J Physiol 588:4759–4768

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Bottger T, Grunewald K, Schobinger M et al (2007) Implementation and evaluation of a new workflow for registration and segmentation of pulmonary MRI data for regional lung perfusion assessment. Phys Med Biol 52:1261–1275

    Article  CAS  PubMed  Google Scholar 

  31. Ingrisch M, Dietrich O, Attenberger UI et al (2010) Quantitative pulmonary perfusion magnetic resonance imaging: influence of temporal resolution and signal-to-noise ratio. Investig Radiol 45:7–14

    Article  Google Scholar 

  32. Zoellner FG, Daab M, Weidner M et al (2015) Semi-automatic lung segmentation of DCE-MRI data sets of 2-year old children after congenital diaphragmatic hernia repair: Initial results. Magn Reson Imaging 33(10):1345–1349

    Article  Google Scholar 

Download references

Acknowledgements

The scientific guarantor of this publication is Prof. Dr. K.W. Neff. The Insitute of Clinical Radiology and Nuclear Medicine Mannheim has research cooperations with Siemens Healthcare. The authors state that this work has not received any funding. No complex statistical methods were necessary for this paper. Institutional Review Board approval was obtained. Written informed consent was obtained from all subjects (patients) in this study. Some study subjects or cohorts have been previously reported in Weidner M, Zoellner FG, Hagelstein C, et al. (2014) High temporal versus high spatial resolution in MR quantitative pulmonary perfusion imaging of two-year old children after congenital diaphragmatic hernia repair. Eur Radiol 24(10):2427–34. Methodology: Performed at one institution.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Weis.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Weis, M., Sommer, V., Zöllner, F.G. et al. Region of interest-based versus whole-lung segmentation-based approach for MR lung perfusion quantification in 2-year-old children after congenital diaphragmatic hernia repair. Eur Radiol 26, 4231–4238 (2016). https://doi.org/10.1007/s00330-016-4330-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-016-4330-6

Keywords

Navigation