1. White Matter Anisotropy in Post-Treatment Childhood Cancer Survivors: Preliminary Evidence of Association With Neurocognitive Function
- Author
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Pek-Lan, Khong, Lucullus H T, Leung, Amy S M, Fung, Daniel Y T, Fong, Deqiang, Qiu, Dora L W, Kwong, Gaik-Cheng, Ooi, Grainne, McAlonan, Grainne, McAlanon, Guang, Cao, and Godfrey C F, Chan
- Subjects
Adult ,Male ,Cancer Research ,Pediatrics ,medicine.medical_specialty ,Pathology ,Multivariate analysis ,Adolescent ,Cross-sectional study ,Intelligence ,Neuropsychological Tests ,White matter ,Cognition ,Fractional anisotropy ,medicine ,Humans ,Cerebellar Neoplasms ,Child ,Intelligence Tests ,Intelligence quotient ,Receiver operating characteristic ,business.industry ,Brain ,Precursor Cell Lymphoblastic Leukemia-Lymphoma ,Cross-Sectional Studies ,Diffusion Magnetic Resonance Imaging ,medicine.anatomical_structure ,ROC Curve ,Oncology ,El Niño ,Case-Control Studies ,Multivariate Analysis ,Anisotropy ,Female ,business ,Neurocognitive ,Medulloblastoma - Abstract
Purpose We aim to determine if the loss of white matter fractional anisotropy (FA), measured by diffusion tensor magnetic resonance imaging (DTI), in post-treatment childhood medulloblastoma (MED) and acute lymphoblastic leukemia (ALL) survivors correlate with intelligence quotient (IQ) scores. Materials and Methods MED and ALL survivors (n = 30; 20 male, 10 female; age range, 6.0 to 22.1 years; mean, 13.1 years) were recruited for DTI and IQ tests. In this cross-sectional study, age-matched normal control (n = 55; 32 male, 23 female; age range, 6.0 to 23 years; mean, 12.1 years) DTI was obtained to compute percentage difference in white matter FA (ΔFA%) for each patient compared with the age-matched control group. Multivariate regression analysis was performed to determine the relationships between ΔFA%, age at treatment, irradiation dose, time interval from treatment, and full-scale IQ (FSIQ), verbal IQ (VIQ), and performance IQ (PIQ). Receiver operating characteristics curves were used to determine the best ΔFA% cutoffs for predicting FSIQ, VIQ, and PIQ of less than 85. Results ΔFA% had a significant effect on FSIQ (adjusted r2 = 0.439; P < .001), VIQ (adjusted r2 = 0.237; P = .028), and PIQ (adjusted r2 = 0.491; P < .001) after adjusting for the effects of age at treatment, irradiation dose, and time interval from treatment. The best ΔFA% value to predict less than 85 scores in FSIQ, VIQ, and PIQ was −3.3% with specificities of 100% and sensitivities ranging from 77.8% to 87.5%. Conclusion Our preliminary findings suggest that white matter FA may be a clinically useful biomarker for the assessment of treatment-related neurotoxicity in post-treatment childhood cancer survivors.
- Published
- 2006
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