Journal of Pediatric Neuroradiology 2016; 05(04): 248-252
DOI: 10.1055/s-0036-1597687
Original Article
Georg Thieme Verlag KG Stuttgart • New York

Influence of Oxygen Saturation and Age on Relaxation Time of Gray and White Matter and Diffusion Tensor Imaging Parameters in Children with Cardiac Malformations

Juan Leon-Wyss
1   Cardiovascular Center, CEDIMAT, Santo Domingo, Dominican Republic
,
Bernd Foerster
2   Department of Radiology, CEDIMAT, Santo Domingo, Dominican Republic
,
Cynthia Rosario
1   Cardiovascular Center, CEDIMAT, Santo Domingo, Dominican Republic
,
Janet Toribio
1   Cardiovascular Center, CEDIMAT, Santo Domingo, Dominican Republic
,
Herwin Speckter
2   Department of Radiology, CEDIMAT, Santo Domingo, Dominican Republic
,
Jairo Oviedo
2   Department of Radiology, CEDIMAT, Santo Domingo, Dominican Republic
,
Peter Stoeter
2   Department of Radiology, CEDIMAT, Santo Domingo, Dominican Republic
› Author Affiliations
Further Information

Publication History

13 November 2016

26 November 2016

Publication Date:
26 December 2016 (online)

Abstract

The aim of this article is to investigate the influence of reduced arterial oxygenation on cerebral gray and white matter T2* time and parameters of diffusion tensor imaging (DTI) in children with cardiac malformations. In 23 patients examined by magnetic resonance imaging (3T), parameters were correlated to oxygen saturation and age (regression analysis). Reduced oxygen saturation correlated significantly to gray matter T2* time (p ≤ 0.01), whereas fractional anisotropy, mean diffusivity, and radial diffusivity correlated to age (p ≤ 0.005) but not to oxygenation. To conclude, gray matter T2* time might be used as a surrogate parameter to estimate oxygenation, and oxygenation does not influence the evaluation of DTI parameters.

 
  • References

  • 1 Licht DJ, Shera DM, Clancy RR , et al. Brain maturation is delayed in infants with complex congenital heart defects. J Thorac Cardiovasc Surg 2009; 137 (3) 529-536 , discussion 536–537
  • 2 Bergemann A, Hansen JH, Rotermann I , et al. Neuropsychological performance of school-aged children after staged surgical palliation of hypoplastic left heart syndrome. Eur J Cardiothorac Surg 2015; 47 (5) 803-811
  • 3 Cheng HH, Wypij D, Laussen PC , et al. Cerebral blood flow velocity and neurodevelopmental outcome in infants undergoing surgery for congenital heart disease. Ann Thorac Surg 2014; 98 (1) 125-132
  • 4 Naik RJ, Wagner JB, Chowdhury D , et al. The impact of cerebral embolization during infant cardiac surgery on neurodevelopmental outcomes at intermediate follow-up. Perfusion 2014; 29 (5) 443-449
  • 5 Dimitropoulos A, McQuillen PS, Sethi V , et al. Brain injury and development in newborns with critical congenital heart disease. Neurology 2013; 81 (3) 241-248
  • 6 Rollins CK, Watson CG, Asaro LA , et al. White matter microstructure and cognition in adolescents with congenital heart disease. J Pediatr 2014; 165 (5) 936-944 , e1–e2
  • 7 Panigrahy A, Schmithorst VJ, Wisnowski JL , et al. Relationship of white matter network topology and cognitive outcome in adolescents with d-transposition of the great arteries. Neuroimage Clin 2015; 7: 438-448
  • 8 Miller SP, McQuillen PS, Hamrick S , et al. Abnormal brain development in newborns with congenital heart disease. N Engl J Med 2007; 357 (19) 1928-1938
  • 9 Le Bihan D, Mangin JF, Poupon C , et al. Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging 2001; 13 (4) 534-546
  • 10 Ogawa S, Lee TM, Kay AR, Tank DW. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci U S A 1990; 87 (24) 9868-9872
  • 11 Hwang D, Kim DH, Du YP. In vivo multi-slice mapping of myelin water content using T2* decay. Neuroimage 2010; 52 (1) 198-204
  • 12 Ziener CH, Glutsch S, Jakob PM, Bauer WR. Spin dephasing in the dipole field around capillaries and cells: numerical solution. Phys Rev E Stat Nonlin Soft Matter Phys 2009; 80 (4 Pt 2) 046701 . DOi: 10.1103/PhysRevE.80.046701
  • 13 Thulborn KR, Waterton JC, Matthews PM, Radda GK. Oxygenation dependence of the transverse relaxation time of water protons in whole blood at high field. Biochim Biophys Acta 1982; 714 (2) 265-270
  • 14 Lin W, Paczynski RP, Celik A, Kuppusamy K, Hsu CY, Powers WJ. Experimental hypoxemic hypoxia: changes in R2* of brain parenchyma accurately reflect the combined effects of changes in arterial and cerebral venous oxygen saturation. Magn Reson Med 1998; 39 (3) 474-481
  • 15 Thulborn KR. My starting point: the discovery of an NMR method for measuring blood oxygenation using the transverse relaxation time of blood water. Neuroimage 2012; 62 (2) 589-593
  • 16 Rivkin MJ, Wolraich D, Als H , et al. Prolonged T*2 values in newborn versus adult brain: implications for fMRI studies of newborns. Magn Reson Med 2004; 51 (6) 1287-1291
  • 17 Chavhan GB, Babyn PS, Thomas B, Shroff MM, Haacke EM. Principles, techniques, and applications of T2*-based MR imaging and its special applications. Radiographics 2009; 29 (5) 1433-1449
  • 18 van Gelderen P, de Zwart JA, Lee J, Sati P, Reich DS, Duyn JH. Nonexponential T2 decay in white matter. Magn Reson Med 2012; 67 (1) 110-117
  • 19 Leppert IR, Almli CR, McKinstry RC , et al; Brain Development Cooperative Group. T(2) relaxometry of normal pediatric brain development. J Magn Reson Imaging 2009; 29 (2) 258-267
  • 20 Yablonskiy DA, Sukstanskii AL, He X. Blood oxygenation level-dependent (BOLD)-based techniques for the quantification of brain hemodynamic and metabolic properties - theoretical models and experimental approaches. NMR Biomed 2013; 26 (8) 963-986
  • 21 An H, Lin W. Quantitative measurements of cerebral blood oxygen saturation using magnetic resonance imaging. J Cereb Blood Flow Metab 2000; 20 (8) 1225-1236
  • 22 Chang K, Barnes S, Haacke EM, Grossman RI, Ge Y. Imaging the effects of oxygen saturation changes in voluntary apnea and hyperventilation on susceptibility-weighted imaging. Am J Neuroradiol 2014; 35 (6) 1091-1095
  • 23 Christen T, Bouzat P, Pannetier N , et al. Tissue oxygen saturation mapping with magnetic resonance imaging. J Cereb Blood Flow Metab 2014; 34 (9) 1550-1557
  • 24 Siemonsen S, Finsterbusch J, Matschke J, Lorenzen A, Ding XQ, Fiehler J. Age-dependent normal values of T2* and T2′ in brain parenchyma. Am J Neuroradiol 2008; 29 (5) 950-955
  • 25 Krogsrud SK, Fjell AM, Tamnes CK , et al. Changes in white matter microstructure in the developing brain--a longitudinal diffusion tensor imaging study of children from 4 to 11years of age. Neuroimage 2016; 124 (Pt A): 473-486
  • 26 Sethi V, Tabbutt S, Dimitropoulos A , et al. Single-ventricle anatomy predicts delayed microstructural brain development. Pediatr Res 2013; 73 (5) 661-667
  • 27 Rivkin MJ, Watson CG, Scoppettuolo LA , et al. Adolescents with D-transposition of the great arteries repaired in early infancy demonstrate reduced white matter microstructure associated with clinical risk factors. J Thorac Cardiovasc Surg 2013; 146 (3) 543-9.e1
  • 28 Awasthi R, Gupta RK, Trivedi R, Singh JK, Paliwal VK, Rathore RK. Diffusion tensor MR imaging in children with pantothenate kinase-associated neurodegeneration with brain iron accumulation and their siblings. Am J Neuroradiol 2010; 31 (3) 442-447
  • 29 Delgado RF, Sanchez PR, Speckter H , et al. Missense PANK2 mutation without “eye of the tiger” sign: MR findings in a large group of patients with pantothenate kinase-associated neurodegeneration (PKAN). J Magn Reson Imaging 2012; 35 (4) 788-794