Advances in Clinical and Experimental Medicine

Title abbreviation: Adv Clin Exp Med
JCR Impact Factor (IF) – 2.1
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Index Copernicus  – 161.11; MEiN – 140 pts

ISSN 1899–5276 (print)
ISSN 2451-2680 (online)
Periodicity – monthly

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Advances in Clinical and Experimental Medicine

2020, vol. 29, nr 3, March, p. 331–337

doi: 10.17219/acem/114827

Publication type: original article

Language: English

License: Creative Commons Attribution 3.0 Unported (CC BY 3.0)

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Estimating brain volume loss after radiation therapy in children treated for posterior fossa tumors (Corpus callosum and whole brain volume changes following radiotherapy in children)

Elwira Szychot1,A,B,C,D,F, Kiran K. Seunarine2,A,C,F, Carlos Andrés Robles3,B,C,F, Henry Mandeville1,A,E, Kshitij Mankad4,C,E, Christopher Clark2,E, Jaroslaw Peregud-Pogorzelski5,C,E, Nandita Desouza6,A,C,E,F

1 The Oak Centre for Children and Young People, Royal Marsden Hospital, Sutton, London, UK

2 Developmental Imaging and Biophysics Section, Institute of Child Health, University College London, UK

3 Department of Radiology, Exequiel Gonzalez Cortes Children’s Hospital, Santiago, Chile

4 Department of Radiology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK

5 Department of Pediatrics and Pediatric Oncology, Pomeranian Medical University, Szczecin, Poland

6 CRUK Imaging Centre at The Institute of Cancer Research, Sutton, London, UK

Abstract

Background. More than half of pediatric tumors of central nervous system (CNS) primarily originate in the posterior fossa and are conventionally treated with radiation therapy (RT).
Objectives. The objective of this study was to establish whether corpus callosum volumes (CCV) and whole brain volumes (WBV) are correlated and to determine the impact of whole-brain lowvs high-dose RT on brain parenchymal volume loss as assessed using each technique.
Material and Methods. Of the 30 identified children (6–12 years) with newly diagnosed posterior fossa tumors treated with cranial RT, including focal and whole-brain RT, suitable imaging was obtained for 23. Radiotherapy regimens were the following: no whole-brain RT (Group 1, n = 7), low-dose whole-brain RT (<30 Gy, Group 2, n = 9) and high-dose whole-brain RT (>30 Gy, Group 3, n = 7) in addition to focal boost. Magnetic resonance images (MRIs) were analyzed at baseline and follow-up (median 14 months). The CCVs were manually segmented on midline sagittal slice (n = 23), while WBVs were segmented semi-automatically using Freesurfer (n = 15). This was done twice (6-month interval) for all baseline CCV measurements and 5 randomly selected WBV measurements to establish measurement reproducibility. Correlations between CCV and WBV were investigated and percentage of children demonstrating reduction in CCV or WBV noted.
Results. Correlation between baseline CCV and WBV was not significant (p = 0.37). Measurement reproducibility was from 6% to –9% for CCV and from 4.8% to –1.2% for WBV. Among the children studied, 30.4% (7/23) had >9% reduction in CCV at follow-up, while 33.3% (5/15) had >1.2% reduction in WBV. Five of 7 patients with CCV loss were not picked up by WBV measurements. Similarly, 3 of 5 patients with WBV loss were not picked up by CCV measurements.
Conclusion. The CCV and the WBV are unrelated and may indicate different brain parenchymal losses following RT. Up to a third of posterior fossa tumors treated with RT have measurable CCV or WBV loss; incidence was equivalent in lowvs high-dose whole-brain RT.

Key words

posterior fossa tumor, radiotherapy, brain volume

References (23)

  1. Johnson KJ, Cullen J, Barnholtz-Sloan JS, et al. Childhood brain tumor epidemiology: A brain tumor epidemiology consortium review. ­Cancer Epidemiol Biomarkers Prev. 2014;23(12):2716–2736.
  2. Greene-Schloesser D, Robbins ME, Peiffer AM, Shaw EG, Wheeler KT, Chan MD. Radiation-induced brain injury: A review. Front Oncol. 2012;19(2):73.
  3. Khong PL, Leung LH, Chan GC, et al. White matter anisotropy in childhood medulloblastoma survivors: Association with neurotoxicity risk factors. Radiology. 2005;236(2):647–652.
  4. Reddick WE, Russell JM, Glass JO, et al. Subtle white matter volume differences in children treated for medulloblastoma with conventional or reduced dose craniospinal irradiation. Magn Reson Imaging. 2000;18(7):787–793.
  5. Szychot E, Seunarine K, Mankad K, et al. Impact of induction chemotherapy, hyperfractionated accelerated radiotherapy and high-dose thiotepa on brain volume loss and functional status of children with primitive neuroectodermal tumour. Pediatr Blood Cancer. 2017;64(11). doi:10.1002/pbc.26619
  6. Thust SC, Blanco E, Michalski AJ, et al. MRI abnormalities in children following sequential chemotherapy, hyperfractionated accelerated radiotherapy and high-dose thiotepa for high-risk primitive neuroectodermal tumours of the central nervous system. J Med Imaging Radiat Oncol. 2014;58(6):683–690.
  7. Shan ZY, Liu JZ, Glass JO, Gajjar A, Li CS, Reddick WE. Quantitative morphologic evaluation of white matter in survivors of childhood medulloblastoma. Magn Reson Imaging. 2006;24(8):1015–1022.
  8. Reddick WE, Shan ZY, Glass JO, et al. Smaller white-matter volumes are associated with larger deficits in attention and learning among long-term survivors of acute lymphoblastic leukemia. Cancer. 2006;106(4):941–949.
  9. Palmer SL, Reddick WE, Glass JO, Gajjar A, Goloubeva O, Mulhern RK. Decline in corpus callosum volume among pediatric patients with medulloblastoma: Longitudinal MR imaging study. AJNR Am J Neuroradiol. 2002;23(7):1088–1094.
  10. Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM. FSL. Neuroimage. 2012;62(2):782–790.
  11. Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA. http://surfer.nmr.mgh.harvard.edu. Accessed 27 November 2018).
  12. Barkovich AJ. Concepts of myelin and myelination in neuroradiology. AJNR Am J Neuroradiol. 2000;21(6):1099–1109.
  13. Giedd JN, Castellanos FX, Casey BJ, et al. Quantitative morphology of the corpus callosum in attention deficit hyperactivity disorder. Am J Psychiatry. 1994;151(5):665–669.
  14. Baumgardner TL, Singer HS, Denckla MB, et al. Corpus callosum morphology in children with Tourette syndrome and attention deficit hyperactivity disorder. Neurology. 1996;47(2):477–482.
  15. Schmitt JE, Eliez S, Warsofsky IS, Bellugi U, Reiss AL. Corpus callosum morphology of Williams syndrome: Relation to genetics and behavior. Dev Med Child Neurol. 2001;43(3):155–159.
  16. Keshavan MS, Diwadkar VA, DeBellis M, et al. Development of the corpus callosum in childhood, adolescence and early adulthood. Life Sci. 2002;70(16):1909–1922.
  17. Pujol J, Vendrell P, Junqué C, Martí-Vilalta JL, Capdevila A. When does human brain development end? Evidence of corpus callosum growth up to adulthood. Ann Neurol. 1993;34(1):71–75.
  18. Despotović I, Goossens B, Philips W. MRI segmentation of the human brain: Challenges, methods, and applications. Comput Math Methods Med. 2015;2015:450341.
  19. Ashton EA, Takahashi C, Berg MJ, Goodman A, Totterman S, Ekholm S. Accuracy and reproducibility of manual and semi-automated quantification of MS lesions by MRI. J Magn Reson Imaging. 2003;17(3):300–308.
  20. Rosenbluth KH, Gimenez F, Kells AP, et al. Automated segmentation tool for brain infusions. PLoS One. 2013;8(6):e64452.
  21. Wang D, Shi L, Chu WC, Paus T, Cheng JCY, Heng PA. A comparison of morphometric techniques for studying the shape of the corpus callosum in adolescent idiopathic scoliosis. Neuroimage. 2009;45(3):738–748.
  22. Collinson SL, Gan SC, Woon PS, et al. Corpus callosum morphology in first-episode and chronic schizophrenia: Combined magnetic resonance and diffusion tensor imaging study of Chinese Singaporean patients. Br J Psychiatry. 2014;204(1):55–60.
  23. Pekala JS, Mamourian AC, Wishart HA, Hickey WF, Raque JD. Focal lesion in the splenium of the corpus callosum on FLAIR MR images: A common finding with aging and after brain radiation therapy. AJNR Am J Neuroradiol. 2003;24(5):855–861.