Can magnetic resonance spectroscopy predict neurodevelopmental outcome in very low birth weight preterm infants?
Autor: | D B Clayton, Ronald L. Ariagno, Daniel M. Spielman, J. D. Dermon, Majid Mirmiran, E M Augustine, T. L. Sutcliffe, Patrick D. Barnes |
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Rok vydání: | 2008 |
Předmět: |
Aging
medicine.medical_specialty Pediatrics Magnetic Resonance Spectroscopy Metabolite Birth weight Physiology Nervous System Bayley Scales of Infant Development Basal Ganglia Article Choline Cohort Studies chemistry.chemical_compound Child Development Thalamus Predictive Value of Tests Humans Infant Very Low Birth Weight Medicine Neonatology Aspartic Acid business.industry Infant Newborn Postmenstrual Age Obstetrics and Gynecology Gestational age Low birth weight chemistry Predictive value of tests Pediatrics Perinatology and Child Health medicine.symptom business Infant Premature Follow-Up Studies |
Zdroj: | Journal of Perinatology. 28:611-618 |
ISSN: | 1476-5543 0743-8346 |
DOI: | 10.1038/jp.2008.66 |
Popis: | To determine if metabolite ratios at near-term age predict outcome in very low birth weight preterm infants at 18 to 24 months adjusted age. Thirty-six infants (birth weight ⩽1510 g, gestational age ⩽32 weeks) were scanned at a postmenstrual age (PMA) of 35 to 43 weeks from July 2001 to September 2003. Multivoxel proton spectroscopic data were acquired and metabolite ratios were calculated in regions of the thalamus and basal ganglia. Bayley Scales of Infant Development were assessed between 18 and 24 months corrected age. Metabolic ratios showed no significant correlation with developmental outcome. A correlation was seen between N-acetylaspartate (NAA)/choline (Ch) and PMA in thalamus and basal ganglia. Metabolite ratios from near-term proton magnetic resonance spectroscopy (MRS) were not predictive of Bayley scores at 18 to 24 months adjusted age. There was a positive correlation between NAA/Ch and PMA, which supports previous work by others for the importance of developmental changes in the MRS with age. |
Databáze: | OpenAIRE |
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