Risks of young age for selected neurocognitive deficits in medulloblastoma are associated with white matter loss.

PURPOSE To test the hypothesis that inadequate development of normal-appearing white matter (NAWM) is associated with the relationship between young age at the time of craniospinal irradiation (CRT) and deficient neurocognitive performance in survivors of childhood medulloblastoma. PATIENTS AND METHODS Forty-two patients treated since 1985 participated in this cross-sectional study. All had been treated with CRT with or without chemotherapy and had survived 1 or more years after treatment. Neurocognitive evaluations were conducted with tests of intellect (intelligent quotient; IQ), verbal memory, and sustained attention. Quantitative magnetic resonance imaging, using a hybrid neural network, assessed the volume of NAWM. RESULTS Neurocognitive test results were below normal expectations for age at the time of testing. A young age at CRT was significantly associated with worse performance on all neurocognitive tests except that of verbal memory. An increased time from completion of CRT was significantly associated with worse performance on all neurocognitive tests except that of sustained attention. After statistically controlling for the effects of time from CRT, we examined the association of NAWM with neurocognitive test results. These analyses revealed that NAWM accounted for a significant amount of the association between age at CRT and IQ, factual knowledge, and verbal and nonverbal thinking, but not sustained attention or verbal memory. CONCLUSION The present results suggest that, at least for some cognitive functions, deficient development and/or loss of NAWM after CRT may provide a neuroanatomical substrate for the adverse impact of a young age at the time of CRT.

[1]  R. Mulhern,et al.  Medulloblastoma in very young children: outcome of definitive craniospinal irradiation following incomplete response to chemotherapy. , 1994, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[2]  S. Sallan,et al.  Neurobehavioral and Neurologic Outcome in Long-Term Survivors of Posterior Fossa Brain Tumors: Role of Age and Perioperative Factors , 1995, Journal of child neurology.

[3]  X Xiong,et al.  Survival and neurodevelopmental outcome of young children with medulloblastoma at St Jude Children's Research Hospital. , 1999, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[4]  P. Renshaw,et al.  Attention-deficit hyperactivity disorder: magnetic resonance imaging morphometric analysis of the corpus callosum. , 1994, Journal of the American Academy of Child and Adolescent Psychiatry.

[5]  Heikki Lyytinen,et al.  Corpus Callosum Morphology in Attention Deficit-Hyperactivity Disorder: Morphometric Analysis of MRI , 1991, Journal of learning disabilities.

[6]  R. Mulhern,et al.  Neuropsychological status of children treated for brain tumors: a critical review and integrative analysis. , 1992, Medical and pediatric oncology.

[7]  L. Rorke,et al.  Quality of life in children with primitive neuroectodermal tumors (medulloblastoma) of the posterior fossa. , 1987, Pediatric neuroscience.

[8]  R. Noll,et al.  Long-term neurobehavioral outcome in pediatric brain-tumor patients: review and methodological critique. , 1994, Journal of clinical and experimental neuropsychology.

[9]  H. Bloom,et al.  Long-term psychological effects in children treated for intracranial tumors. , 1990, International journal of radiation oncology, biology, physics.

[10]  L. Rorke,et al.  Updated results of a pilot study of low dose craniospinal irradiation plus chemotherapy for children under five with cerebellar primitive neuroectodermal tumors (medulloblastoma). , 1996, International journal of radiation oncology, biology, physics.

[11]  T E Schultheiss,et al.  Radiation response of the central nervous system. , 1995, International journal of radiation oncology, biology, physics.

[12]  P. Renshaw,et al.  Volumetric MRI analysis comparing subjects having attention-deficit hyperactivity disorder with normal controls , 1997, Neurology.

[13]  J A Frank,et al.  Correspondence of closest gradient Voxels—A robust registration algorithm , 1997, Journal of magnetic resonance imaging : JMRI.

[14]  E. Olsson,et al.  Long-term sequelae after pediatric brain tumors: their effect on disability and quality of life. , 1990, Medical and pediatric oncology.

[15]  Amar Gajjar,et al.  Neurocognitive deficits in medulloblastoma survivors and white matter loss , 1999, Annals of neurology.

[16]  P. Duffner,et al.  Late effects of treatment on the intelligence of children with posterior fossa tumors , 1983, Cancer.

[17]  W. Reddick,et al.  A hybrid neural network analysis of subtle brain volume differences in children surviving brain tumors. , 1998, Magnetic resonance imaging.

[18]  A L Reiss,et al.  Corpus callosum morphology in children with Tourette syndrome and attention deficit hyperactivity disorder , 1996, Neurology.

[19]  J. R. Prince,et al.  Transient white matter changes on MR images in children undergoing chemotherapy for acute lymphocytic leukemia: correlation with neuropsychologic deficiencies. , 1991, Radiology.

[20]  R. Mulhern,et al.  Silent lacunar lesions detected by magnetic resonance imaging of children with brain tumors: a late sequela of therapy. , 2000, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[21]  G. Reaman,et al.  Quality of long-term survival in young children with medulloblastoma. , 1994, Journal of neurosurgery.

[22]  R. Connelly,et al.  Quality of life in long-term survivors of CNS tumors of childhood and adolescence. , 1991, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[23]  E. Pääkkö,et al.  White matter changes in children treated for acute lymphoblastic leukemia , 1992, Cancer.

[24]  S. Stowe,et al.  Factors affecting intellectual outcome in pediatric brain tumor patients. , 1987, Neurosurgery.

[25]  Stephen M. Rao White Matter Disease and Dementia , 1996, Brain and Cognition.

[26]  D. Mathalon,et al.  A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood. , 1994, Archives of neurology.

[27]  B. J. Casey,et al.  Quantitative morphology of the corpus callosum in attention deficit hyperactivity disorder. , 1994, The American journal of psychiatry.

[28]  S Ekholm,et al.  Adverse effects of brain irradiation correlated with MR and CT imaging. , 1987, International journal of radiation oncology, biology, physics.

[29]  W E Reddick,et al.  Subtle white matter volume differences in children treated for medulloblastoma with conventional or reduced dose craniospinal irradiation. , 2000, Magnetic resonance imaging.

[30]  D. Schultz,et al.  The impact of perioperative factors on subsequent intelligence quotient deficits in children treated for medulloblastoma/posterior fossa primitive neuroectodermal tumors , 1994, Cancer.

[31]  In Kyoon Lyoo,et al.  The corpus callosum and lateral ventricles in children with attention-deficit hyperactivity disorder: A brain magnetic resonance imaging study , 1996, Biological Psychiatry.

[32]  J. Ehrhardt,et al.  Intelligence and brain structure in normal individuals. , 1993, The American journal of psychiatry.

[33]  Edwin N. Cook,et al.  Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks , 1997, IEEE Transactions on Medical Imaging.

[34]  R. Kikinis,et al.  Age-related changes in intracranial compartment volumes in normal adults assessed by magnetic resonance imaging. , 1996, Journal of neurosurgery.

[35]  J W Goldwein,et al.  Whole-brain irradiation and decline in intelligence: the influence of dose and age on IQ score. , 1992, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[36]  B. Moore,et al.  Neurocognitive development of children after a cerebellar tumor in infancy: A longitudinal study. , 1999, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[37]  D D Blatter,et al.  Quantitative volumetric analysis of brain MR: normative database spanning 5 decades of life. , 1995, AJNR. American journal of neuroradiology.