Neuropediatrics 2015; 46(01): 072-075
DOI: 10.1055/s-0034-1395346
Short Communication
Georg Thieme Verlag KG Stuttgart · New York

Comparison of Different Tractography Algorithms and Validation by Intraoperative Stimulation in a Child with a Brain Tumor

Hanna Küpper
1   Pediatric Neurology and Developmental Medicine, University of Tübingen, Tübingen, Germany
2   Experimental Pediatric Neuroimaging, Children's Hospital, University of Tübingen, Tübingen, Germany
,
Samuel Groeschel
1   Pediatric Neurology and Developmental Medicine, University of Tübingen, Tübingen, Germany
2   Experimental Pediatric Neuroimaging, Children's Hospital, University of Tübingen, Tübingen, Germany
,
Michael Alber
1   Pediatric Neurology and Developmental Medicine, University of Tübingen, Tübingen, Germany
,
Uwe Klose
3   Department of Neuroradiology, Radiological Clinic, University of Tübingen, Tübingen, Germany
,
Martin U. Schuhmann
4   Department of Neurosurgery, University of Tübingen, Tübingen, Germany
,
Marko Wilke
1   Pediatric Neurology and Developmental Medicine, University of Tübingen, Tübingen, Germany
2   Experimental Pediatric Neuroimaging, Children's Hospital, University of Tübingen, Tübingen, Germany
› Author Affiliations
Further Information

Publication History

03 July 2014

17 August 2014

Publication Date:
23 December 2014 (online)

Abstract

Background Advanced modalities such as functional magnetic resonance imaging (MRI) and diffusion MR tractography offer in vivo information about brain networks and are therefore increasingly used for neurosurgical planning in children also.

Aim This study aims to study the application of routine and advanced tractography algorithms and its comparison with intraoperative subcortical electrical stimulation.

Method Presurgical functional MRI and MR diffusion tractography were performed on a 6-year-old patient presenting with seizures, but no motor symptoms, due to a neuroectodermal tumor in the left central region. Three different tractography algorithms were compared: deterministic diffusion tensor imaging (DTI)-tracking, probabilistic DTI-tracking, and probabilistic constrained spherical deconvolution tracking (pCSD).

Results All three tractography algorithms could localize the core of the corticospinal tract with good agreement. The pCSD-tracking algorithm was more sensitive in revealing the anatomically most realistic fiber distribution and a proportion of fibers traversing a solid part of the tumor. Intraoperative stimulation confirmed these fibers close to the tumor. As a result, only a subtotal resection was performed, preventing postoperative sensorimotor deficits.

Conclusion Although, all tractography algorithms successfully identified the core of the corticospinal pathway, deterministic DTI-tractography, as widely used in clinical neuronavigation software, only insufficiently visualized critical fibers here. We believe these results argue for a stronger consideration of advanced tractography approaches in neurosurgical planning.

 
  • References

  • 1 Dimou S, Battisti RA, Hermens DF, Lagopoulos J. A systematic review of functional magnetic resonance imaging and diffusion tensor imaging modalities used in presurgical planning of brain tumour resection. Neurosurg Rev 2013; 36 (2) 205-214
  • 2 Romano A, D'Andrea G, Minniti G , et al. Pre-surgical planning and MR-tractography utility in brain tumour resection. Eur Radiol 2009; 19 (12) 2798-2808
  • 3 Tournier J-D, Mori S, Leemans A. Diffusion tensor imaging and beyond. Magn Reson Med 2011; 65 (6) 1532-1556
  • 4 Jones DK, Knösche TR, Turner R. White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI. Neuroimage 2013; 73: 239-254
  • 5 Farquharson S, Tournier JD, Calamante F , et al. White matter fiber tractography: why we need to move beyond DTI. J Neurosurg 2013; 118 (6) 1367-1377
  • 6 Jeurissen B, Leemans A, Tournier J-D, Jones DK, Sijbers J. Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging. Hum Brain Mapp 2013; 34 (11) 2747-2766
  • 7 Anastasopoulos C, Reisert M, Kiselev VG , et al. Local and global fiber tractography in patients with epilepsy. AJNR Am J Neuroradiol 2014; 35 (2) 291-296
  • 8 Tournier J-D, Calamante F, Connelly A. Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution. Neuroimage 2007; 35 (4) 1459-1472
  • 9 Berman JI, Berger MS, Chung SW, Nagarajan SS, Henry RG. Accuracy of diffusion tensor magnetic resonance imaging tractography assessed using intraoperative subcortical stimulation mapping and magnetic source imaging. J Neurosurg 2007; 107 (3) 488-494
  • 10 Ebner K, Lidzba K, Hauser T-K, Wilke M. Assessing language and visuospatial functions with one task: a “dual use” approach to performing fMRI in children. Neuroimage 2011; 58 (3) 923-929
  • 11 Tournier J-D, Calamante F, Connelly A. MRtrix: Diffusion tractography in crossing fiber regions. Int J Imaging Syst Technol 2012; 22: 53-66
  • 12 Calamante F, Tournier J-D, Jackson GD, Connelly A. Track-density imaging (TDI): super-resolution white matter imaging using whole-brain track-density mapping. Neuroimage 2010; 53 (4) 1233-1243
  • 13 Mikuni N, Okada T, Enatsu R , et al. Clinical impact of integrated functional neuronavigation and subcortical electrical stimulation to preserve motor function during resection of brain tumors. J Neurosurg 2007; 106 (4) 593-598
  • 14 Pouratian N, Bookheimer SY. The reliability of neuroanatomy as a predictor of eloquence: a review. Neurosurg Focus 2010; 28 (2) E3
  • 15 Bozzao A, Romano A, Angelini A , et al. Identification of the pyramidal tract by neuronavigation based on intraoperative magnetic resonance tractography: correlation with subcortical stimulation. Eur Radiol 2010; 20 (10) 2475-2481