Eva Bültmann1, Thomas Nägele2, Heinrich Lanfermann3, Uwe Klose4. 1. Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Carl-Neuberg-Straße 1, D-30625, Hannover, Germany. bueltmann.eva@mh-hannover.de. 2. Department of Diagnostic and Interventional Neuroradiology, Radiological University Hospital, University of Tübingen, Tübingen, Germany. 3. Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Carl-Neuberg-Straße 1, D-30625, Hannover, Germany. 4. Section of Experimental MR of the CNS, Department of Neuroradiology, Radiological University Hospital, University of Tübingen, Tübingen, Germany.
Abstract
INTRODUCTION: We examined the effect of maturation on the regional distribution of brain metabolite concentrations using multivoxel chemical shift imaging. METHODS: From our pool of pediatric MRI examinations, we retrospectively selected patients showing a normal cerebral MRI scan or no pathologic signal abnormalities at the level of the two-dimensional 1H MRS-CSI sequence and an age-appropriate global neurological development, except for focal neurological deficits. Seventy-one patients (4.5 months-20 years) were identified. Using LC Model, spectra were evaluated from voxels in the white matter, caudate head, and corpus callosum. RESULTS: The concentration of total N-acetylaspartate increased in all regions during infancy and childhood except in the right caudate head where it remained constant. The concentration of total creatine decreased in the caudate nucleus and splenium and minimally in the frontal white matter and genu. It remained largely constant in the parietal white matter. The concentration of choline-containing compounds had the tendency to decrease in all regions except in the parietal white matter where it remained constant. The concentration of myoinositol decreased slightly in the splenium and right frontal white matter, remained constant on the left side and in the caudate nucleus, and rose slightly in the parietal white matter and genu. CONCLUSION: CSI determined metabolite concentrations in multiple cerebral regions during routine MRI. The obtained data will be helpful in future pediatric CSI measurements deciding whether the ratios of the main metabolites are within the range of normal values or have to be considered as probably pathologic.
INTRODUCTION: We examined the effect of maturation on the regional distribution of brain metabolite concentrations using multivoxel chemical shift imaging. METHODS: From our pool of pediatric MRI examinations, we retrospectively selected patients showing a normal cerebral MRI scan or no pathologic signal abnormalities at the level of the two-dimensional 1HMRS-CSI sequence and an age-appropriate global neurological development, except for focal neurological deficits. Seventy-one patients (4.5 months-20 years) were identified. Using LC Model, spectra were evaluated from voxels in the white matter, caudate head, and corpus callosum. RESULTS: The concentration of total N-acetylaspartate increased in all regions during infancy and childhood except in the right caudate head where it remained constant. The concentration of total creatine decreased in the caudate nucleus and splenium and minimally in the frontal white matter and genu. It remained largely constant in the parietal white matter. The concentration of choline-containing compounds had the tendency to decrease in all regions except in the parietal white matter where it remained constant. The concentration of myoinositol decreased slightly in the splenium and right frontal white matter, remained constant on the left side and in the caudate nucleus, and rose slightly in the parietal white matter and genu. CONCLUSION: CSI determined metabolite concentrations in multiple cerebral regions during routine MRI. The obtained data will be helpful in future pediatric CSI measurements deciding whether the ratios of the main metabolites are within the range of normal values or have to be considered as probably pathologic.
Authors: N Girard; S Confort-Gouny; J Schneider; M Barberet; F Chapon; A Viola; S Pineau; X Combaz; P Cozzone Journal: J Neuroradiol Date: 2007-09-05 Impact factor: 3.447
Authors: D Lu; S G Pavlakis; Y Frank; S Bakshi; S Pahwa; R J Gould; C Sison; C Hsu; M Lesser; M Hoberman; T Barnett; R A Hyman Journal: Radiology Date: 1996-05 Impact factor: 11.105
Authors: T Hashimoto; M Tayama; M Miyazaki; E Fujii; M Harada; H Miyoshi; M Tanouchi; Y Kuroda Journal: Dev Med Child Neurol Date: 1995-05 Impact factor: 5.449