Corpus Callosum Diffusion Tensor Imaging and Volume Measures Are Associated With Disease Severity in Pediatric Niemann-Pick Disease Type C1
2014; Elsevier BV; Volume: 51; Issue: 5 Linguagem: Inglês
10.1016/j.pediatrneurol.2014.07.028
ISSN1873-5150
AutoresRyan Lee, Kalyna Apkarian, Eun Sol Jung, Nicole M. Yanjanin, Shoko Yoshida, Susumu Mori, Jina Park, Andrea Gropman, Eva H. Baker, Forbes D. Porter,
Tópico(s)Spinal Dysraphism and Malformations
ResumoBackground Niemann-Pick disease type C1 is a neurodegenerative lysosomal storage disorder. Without a highly effective treatment, biomarkers of severity would be beneficial for prognostication and testing new interventions. Diffusion tensor imaging has shown microstructural abnormalities in adults with Niemann-Pick disease type C1. This is the first study to apply diffusion tensor imaging and volume analysis to evaluate the corpus callosum in a pediatric and adolescent population of patients with Niemann-Pick disease type C1. We hypothesized that the callosal fractional anisotropy, volume, and cross-sectional area will negatively correlate with NPC severity score. Methods Thirty-nine individuals with Niemann-Pick disease type C1 aged 1-21.9 years (mean = 11.1; S.D. = 6.1), and each received one magnetic resonance imaging examination. Severity score were obtained by examination and clinical observation. An atlas-based automated approach was used to measure fractional anisotropy, cross-sectional area, and volume. For comparative analysis and validation of this atlas-based approach, one midsagittal image was chosen and the corpus callosum manually traced to obtain cross-sectional area. Statistical analyses were applied to study the relationships between imaging and clinical severity. Results For patients with Niemann-Pick disease type C1, lower corpus callosum fractional anisotropy, volume, and cross-sectional area significantly correlate with higher severity score. Severity subdomain analysis revealed ambulation, speech, seizures, and incontinence have the strongest relationships with callosal measures. Comparison of atlas-based processing and manual tracing techniques demonstrated validity for the automated method. Conclusions For individuals with Niemann-Pick disease type C1, the corpus callosum measures correlate with clinical severity. These findings reveal promise for the discovery of new imaging biomarkers for this disorder.
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