nach oben

European Radiology

Erschienen in:

01.10.2014 | Pediatric

High temporal versus high spatial resolution in MR quantitative pulmonary perfusion imaging of two-year old children after congenital diaphragmatic hernia repair

verfasst von: M. Weidner, F. G. Zöllner, C. Hagelstein, K. Zahn, T. Schaible, S. O. Schoenberg, L. R. Schad, K. W. Neff

Erschienen in: European Radiology | Ausgabe 10/2014

Einloggen, um Zugang zu erhalten

Abstract

Objectives

Congenital diaphragmatic hernia (CDH) leads to lung hypoplasia. Using dynamic contrast-enhanced (DCE) MR imaging, lung perfusion can be quantified. As MR perfusion values depend on temporal resolution, we compared two protocols to investigate whether ipsilateral lung perfusion is impaired after CDH, whether there are protocol-dependent differences, and which protocol is preferred.

Methods

DCE-MRI was performed in 36 2-year old children after CDH on a 3 T MRI system; protocol A (n = 18) based on a high spatial (3.0 s; voxel: 1.25 mm³) and protocol B (n = 18) on a high temporal resolution (1.5 s; voxel: 2 mm³). Pulmonary blood flow (PBF), pulmonary blood volume (PBV), mean transit time (MTT), and peak-contrast-to-noise-ratio (PCNR) were quantified.

Results

PBF was reduced ipsilaterally, with ipsilateral PBF of 45 ± 26 ml/100 ml/min to contralateral PBF of 63 ± 28 ml/100 ml/min (p = 0.0016) for protocol A; and for protocol B, side differences were equivalent (ipsilateral PBF = 62 ± 24 vs. contralateral PBF = 85 ± 30 ml/100 ml/min; p = 0.0034). PCNR was higher for protocol B (30 ± 18 vs. 20 ± 9; p = 0.0294). Protocol B showed higher values of PBF in comparison to protocol A (p always <0.05).

Conclusions

Ipsilateral lung perfusion is reduced in 2-year old children following CDH repair. Higher temporal resolution and increased voxel size show a gain in PCNR and lead to higher perfusion values. Protocol B is therefore preferred.

Key Points

• Quantitative lung perfusion parameters depend on temporal and spatial resolution.

• Reduction of lung perfusion in CDH can be measured with different MR protocols.

• Temporal resolution of 1.5 s with spatial resolution of 2 mm ³ is suitable.

Mohseni-Bod H, Bohn D (2007) Pulmonary hypertension in congenital diaphragmatic hernia. Semin Pediatr Surg 16(2):126–133PubMedCrossRef

Thebaud B, Tibboel D (2009) Pulmonary hypertension associated with congenital diaphragmatic hernia. Cardiol Young 19(Suppl 1):49–53PubMedCrossRef

Skari H, Bjornland K, Haugen G, Egeland T, Emblem R (2000) Congenital diaphragmatic hernia: a meta-analysis of mortality factors. J Pediatr Surg 35(8):1187–1197PubMedCrossRef

Stege G, Fenton A, Jaffray B (2003) Nihilism in the 1990s: the true mortality of congenital diaphragmatic hernia. Pediatrics 112(3 Pt 1):532–535PubMedCrossRef

Sturm R (2013) A three-dimensional model of tracheobronchial particle distribution during mucociliary clearance in the human respiratory tract. Z Med Phys. doi:10.1016/j.zemedi.2013.02.004 PubMed

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(11):2047–2053PubMedCrossRef

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):254–259PubMedCrossRef

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(4):526–531PubMedCrossRef

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(1):112–116PubMedCrossRef

10.

Hueper K, Parikh MA, Prince MR et al (2013) Quantitative and semiquantitative measures of regional pulmonary microvascular perfusion by magnetic resonance imaging and their relationships to global lung perfusion and lung diffusing capacity: the multiethnic study of atherosclerosis chronic obstructive pulmonary disease study. Investig Radiol 48(4):223–230

11.

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

12.

Eichinger M, Puderbach M, Fink C et al (2006) Contrast-enhanced 3D MRI of lung perfusion in children with cystic fibrosis–initial results. Eur Radiol 16(10):2147–2152PubMedCrossRef

13.

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(12):2743–2749CrossRef

14.

Attenberger UI, Ingrisch M, Dietrich O et al (2009) Time-resolved 3D pulmonary perfusion MRI: comparison of different k-space acquisition strategies at 1.5 and 3 T. Investig Radiol 44(9):525–531CrossRef

15.

Fink C, Ley S, Kroeker R, Requardt M, Kauczor HU, Bock M (2005) Time-resolved contrast-enhanced three-dimensional magnetic resonance angiography of the chest: combination of parallel imaging with view sharing (TREAT). Investig Radiol 40(1):40–48

16.

Dietrich O, Raya JG, Reeder SB, Reiser MF, Schoenberg SO (2007) Measurement of signal-to-noise ratios in MR images: influence of multichannel coils, parallel imaging, and reconstruction filters. J Magn Reson Imaging JMRI 26:375–385CrossRef

17.

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(1):7–14CrossRef

18.

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(2):344–352CrossRef

19.

Sourbron S, Dujardin M, Makkat S, Luypaert R (2007) Pixel-by-pixel deconvolution of bolus-tracking data: optimization and implementation. Phys Med Biol 52(2):429–447

20.

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(9):537–545

21.

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

22.

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

23.

Beals DA, Schloo BL, Vacanti JP, Reid LM, Wilson JM (1992) Pulmonary growth and remodeling in infants with high-risk congenital diaphragmatic hernia. J Pediatr Surg 27(8):997–1001, discussion 1001-1002PubMedCrossRef

24.

Hislop AA (2002) Airway and blood vessel interaction during lung development. J Anat 201(4):325–334PubMedCentralPubMedCrossRef

25.

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 48:130–137PubMedCrossRef

26.

Nael K, Michaely HJ, Kramer U et al (2006) Pulmonary circulation: contrast-enhanced 3.0-T MR angiography–initial results. Radiology 240(3):858–868PubMedCrossRef

27.

Nael K, Michaely HJ, Lee M, Goldin J, Laub G, Finn JP (2006) Dynamic pulmonary perfusion and flow quantification with MR imaging, 3.0 T vs. 1.5 T: initial results. J Magn Reson Imaging JMRI 24(2):333–339CrossRef

28.

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(2):551–559

29.

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(4):943–955CrossRef

30.

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(Pt 23):4759–4768PubMedCentralPubMedCrossRef

31.

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(2):72–79CrossRef

Titel: High temporal versus high spatial resolution in MR quantitative pulmonary perfusion imaging of two-year old children after congenital diaphragmatic hernia repair
verfasst von: M. Weidner
F. G. Zöllner
C. Hagelstein
K. Zahn
T. Schaible
S. O. Schoenberg
L. R. Schad
K. W. Neff
Publikationsdatum: 01.10.2014
Verlag: Springer Berlin Heidelberg
Erschienen in: European Radiology / Ausgabe 10/2014
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-014-3304-9

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

High temporal versus high spatial resolution in MR quantitative pulmonary perfusion imaging of two-year old children after congenital diaphragmatic hernia repair