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Radiology ; 263(2): 510-7, 2012 May.
Artículo en Inglés | MEDLINE | ID: mdl-22416249

RESUMEN

PURPOSE: To elucidate the relationship between gestational age, pathologic findings, and magnetic resonance (MR) imaging measures of tissue maturation-myelination in deep gray matter areas in very preterm neonates imaged at birth. MATERIALS AND METHODS: The study was approved by the research ethics board. Written informed consent was given by the infants' parents. Forty-two preterm neonates (19 boys; median gestational age, 28.7 weeks) with normal-appearing gray matter structures at presentation underwent MR imaging within 2 weeks of birth that included T1- and T2-weighted, magnetization transfer, and T1 relaxometry sequences. Neonates were separated into the following groups: those with normal findings (n = 23), those with white matter injury (WMI) (n = 9), those with grade I germinal matrix hemorrhage (GMH) (n = 3), and those with grade II GMH and WMI (n = 7). Analysis of covariance was used to determine regional effects of age and pathologic findings on magnetization transfer ratio (MTR) and to assess the relationship between MTR and T1. RESULTS: MTR increased linearly with age (P ≤ .0265), with a similar rate of change of 0.32% per week (95% confidence interval [CI]: 0.16, 0.49) in the basal ganglia (BG) and thalami. A lower trend (0.11% per week; 95% CI: -0.05, 0.28) was seen in the pons. Higher MTRs were seen in the thalami and pons than in the BG (P < .05), indicating earlier maturation. Accordingly, higher T1 values were observed in the BG relative to the thalami (P < .0001). Higher MTRs in the BG were observed in the group of neonates with normal findings at presentation than in the group with WMI (P = .02). CONCLUSION: MTR measurements can be used to monitor early myelination in the developing brain and to help detect changes in tissue that are not shown on T1- and T2-weighted MR images.


Asunto(s)
Encéfalo/crecimiento & desarrollo , Recien Nacido Prematuro , Imagen por Resonancia Magnética/métodos , Factores de Edad , Algoritmos , Análisis de Varianza , Ganglios Basales/crecimiento & desarrollo , Femenino , Edad Gestacional , Humanos , Interpretación de Imagen Asistida por Computador , Recién Nacido , Estudios Longitudinales , Masculino , Fibras Nerviosas Mielínicas , Estudios Prospectivos , Tálamo/crecimiento & desarrollo
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