Literature DB >> 19643920

Voxel-based analysis of T2 hyperintensities in white matter during treatment of childhood leukemia.

W E Reddick1, J O Glass, D P Johnson, F H Laningham, C-H Pui.   

Abstract

BACKGROUND AND
PURPOSE: White matter (WM) hyperintensities on T2-weighted MR imaging are the most common imaging manifestation of neurotoxic effects of therapy for central nervous system (CNS) prophylaxis in childhood acute lymphoblastic leukemia (ALL). This study uses voxel-based analyses (VBA) of T2-weighted imaging of patients during treatment to identify which WM regions are preferentially damaged.
MATERIALS AND METHODS: Two sets of conventional T2-weighted axial images were acquired on a 1.5T MR imaging scanner from 197 consecutive patients (85 female, 112 male; aged 1.0-18.9 years) enrolled on an institutional ALL treatment protocol. Images were acquired after completion of induction therapy and after the final of the 4 courses of intravenous high-dose methotrexate in consolidation therapy (3.9 +/- 0.8 months apart). Voxel-wise statistical testing of the incremental change between normalized longitudinal T2 images was performed with radiologist reading (normal or abnormal) and treatment risk-group as covariates.
RESULTS: Two highly significant bilateral clusters of T2 signal intensity change were identified in both 1-group and 2-group analyses. The regions were symmetric in size, shape, and average signal intensity. Increased T2-weighted signal intensity from these regions both within and between examinations were nonlinear functions of age at examination, and the difference between the examinations was greater for older subjects who received more intense therapy.
CONCLUSIONS: These analyses identified specific WM tracts involving predominantly the anterior, superior, and posterior corona radiata and superior longitudinal fasciculus, which were at increased risk for the development of T2-weighted hyperintensities during therapy for childhood ALL. These vulnerable regions may be the cause of subsequent cognitive difficulties consistently observed in survivors.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19643920      PMCID: PMC2783231          DOI: 10.3174/ajnr.A1733

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  34 in total

1.  Chemotherapeutic CNS prophylaxis and neuropsychologic change in children with acute lymphoblastic leukemia: a prospective study.

Authors:  K A Espy; I M Moore; P M Kaufmann; J H Kramer; K Matthay; J J Hutter
Journal:  J Pediatr Psychol       Date:  2001 Jan-Feb

2.  Neuropsychological, neuroanatomical, and neurophysiological consequences of CNS chemotherapy for acute lymphoblastic leukemia.

Authors:  M Moleski
Journal:  Arch Clin Neuropsychol       Date:  2000-10       Impact factor: 2.813

3.  White matter growth as a mechanism of cognitive development in children.

Authors:  Donald J Mabbott; Michael Noseworthy; Eric Bouffet; Suzanne Laughlin; Conrad Rockel
Journal:  Neuroimage       Date:  2006-09-15       Impact factor: 6.556

4.  Evidence for cerebellar-frontal subsystem changes in children treated with intrathecal chemotherapy for leukemia: enhanced data analysis using an effect size model.

Authors:  P G Lesnik; K T Ciesielski; B L Hart; E C Benzel; J A Sanders
Journal:  Arch Neurol       Date:  1998-12

5.  A quantitative MR imaging assessment of leukoencephalopathy in children treated for acute lymphoblastic leukemia without irradiation.

Authors:  Wilburn E Reddick; John O Glass; Kathleen J Helton; James W Langston; Chin-Shang Li; Ching-Hon Pui
Journal:  AJNR Am J Neuroradiol       Date:  2005-10       Impact factor: 3.825

6.  White matter changes on MRI during treatment in children with acute lymphoblastic leukemia: correlation with neuropsychological findings.

Authors:  E Pääkkö; A Harila-Saari; L Vanionpää; S Himanen; J Pyhtinen; M Lanning
Journal:  Med Pediatr Oncol       Date:  2000-11

Review 7.  Prevalence of leukoencephalopathy in children treated for acute lymphoblastic leukemia with high-dose methotrexate.

Authors:  Wilburn E Reddick; John O Glass; Kathleen J Helton; James W Langston; Xiaoping Xiong; Shengjie Wu; Ching-Hon Pui
Journal:  AJNR Am J Neuroradiol       Date:  2005-05       Impact factor: 3.825

8.  White matter and cerebral metabolite changes in children undergoing treatment for acute lymphoblastic leukemia: longitudinal study with MR imaging and 1H MR spectroscopy.

Authors:  Winnie C W Chu; Ki-Wai Chik; Yu-Leung Chan; David K W Yeung; Derek J Roebuck; Robert G Howard; Chi-Kong Li; Constantine Metreweli
Journal:  Radiology       Date:  2003-10-23       Impact factor: 11.105

Review 9.  Quantitative morphologic evaluation of magnetic resonance imaging during and after treatment of childhood leukemia.

Authors:  Wilburn E Reddick; Fred H Laningham; John O Glass; Ching-Hon Pui
Journal:  Neuroradiology       Date:  2007-07-26       Impact factor: 2.804

10.  White-matter diffusion anisotropy after chemo-irradiation: a statistical parametric mapping study and histogram analysis.

Authors:  Lucullus H T Leung; Gaik Cheng Ooi; Dora L W Kwong; Godfrey C F Chan; Guang Cao; Pek Lan Khong
Journal:  Neuroimage       Date:  2004-01       Impact factor: 6.556

View more
  16 in total

1.  Brain volume and cognitive function in adult survivors of childhood acute lymphoblastic leukemia.

Authors:  Michelle N Edelmann; Kevin R Krull
Journal:  Transl Pediatr       Date:  2013-10

Review 2.  Neurodevelopmental consequences of pediatric cancer and its treatment: applying an early adversity framework to understanding cognitive, behavioral, and emotional outcomes.

Authors:  Hilary A Marusak; Allesandra S Iadipaolo; Felicity W Harper; Farrah Elrahal; Jeffrey W Taub; Elimelech Goldberg; Christine A Rabinak
Journal:  Neuropsychol Rev       Date:  2017-12-22       Impact factor: 7.444

3.  Altered resting state functional connectivity in young survivors of acute lymphoblastic leukemia.

Authors:  Shelli R Kesler; Meike Gugel; Mika Pritchard-Berman; Clement Lee; Emily Kutner; S M Hadi Hosseini; Gary Dahl; Norman Lacayo
Journal:  Pediatr Blood Cancer       Date:  2014-03-12       Impact factor: 3.167

4.  Attention and working memory abilities in children treated for acute lymphoblastic leukemia.

Authors:  Jason Ashford; Corrie Schoffstall; Wilburn E Reddick; Christina Leone; Fred H Laningham; John O Glass; Deqing Pei; Cheng Cheng; Ching-Hon Pui; Heather M Conklin
Journal:  Cancer       Date:  2010-10-01       Impact factor: 6.860

5.  Cognitive reserve and brain volumes in pediatric acute lymphoblastic leukemia.

Authors:  Shelli R Kesler; Hiroko Tanaka; Della Koovakkattu
Journal:  Brain Imaging Behav       Date:  2010-12       Impact factor: 3.978

6.  Cortical thinning and altered functional brain coherence in survivors of childhood sarcoma.

Authors:  Charlotte Sleurs; Jeroen Blommaert; Dafnis Batalle; Marjolein Verly; Stefan Sunaert; Ron Peeters; Jurgen Lemiere; Anne Uyttebroeck; Sabine Deprez
Journal:  Brain Imaging Behav       Date:  2021-04       Impact factor: 3.978

7.  Evidence of change in brain activity among childhood cancer survivors participating in a cognitive remediation program.

Authors:  Ping Zou; Yimei Li; Heather M Conklin; Raymond K Mulhern; Robert W Butler; Robert J Ogg
Journal:  Arch Clin Neuropsychol       Date:  2012-10-18       Impact factor: 2.813

8.  Chemotherapy Pharmacodynamics and Neuroimaging and Neurocognitive Outcomes in Long-Term Survivors of Childhood Acute Lymphoblastic Leukemia.

Authors:  Kevin R Krull; Yin Ting Cheung; Wei Liu; Slim Fellah; Wilburn E Reddick; Tara M Brinkman; Cara Kimberg; Robert Ogg; Deokumar Srivastava; Ching-Hon Pui; Leslie L Robison; Melissa M Hudson
Journal:  J Clin Oncol       Date:  2016-06-06       Impact factor: 44.544

9.  Effects of chemotherapy on the brain in childhood: diffusion tensor imaging of subtle white matter damage.

Authors:  Shigemi Morioka; Masafumi Morimoto; Kei Yamada; Tatsuji Hasegawa; Takashi Morita; Masaharu Moroto; Kenichi Isoda; Tomohiro Chiyonobu; Toshihiko Imamura; Akira Nishimura; Akira Morimoto; Hajime Hosoi
Journal:  Neuroradiology       Date:  2013-07-27       Impact factor: 2.804

10.  GAT: a graph-theoretical analysis toolbox for analyzing between-group differences in large-scale structural and functional brain networks.

Authors:  S M Hadi Hosseini; Fumiko Hoeft; Shelli R Kesler
Journal:  PLoS One       Date:  2012-07-13       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.