Bathen Tone F, Sjöbakk Torill E, Skranes Jon, Brubakk Ann-Mari, Vik Torstein, Martinussen Marit, Myhr Gunnar E, Gribbestad Ingrid S, Axelson David
Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, and St. Olavs Hospital, Trondheim, Norway.
Pediatr Radiol. 2006 Aug;36(8):802-9. doi: 10.1007/s00247-006-0159-5. Epub 2006 May 16.
Children with very low birth weight (VLBW) have a significantly increased risk of later neurodevelopmental problems, while infants born small for gestational age (SGA) at term are also at some risk of developing neurological impairment.
To investigate possible brain metabolite differences in adolescents with VLBW, SGA at term and controls by proton in vivo magnetic resonance spectroscopy (MRS) at 1.5 T.
MR spectra were acquired from volumes localized in the left frontal lobe, containing mainly white matter (54 subjects). Peak areas of N-acetyl aspartate (NAA), choline (Cho) and creatine (Cr) were determined, and the peak area ratio of NAA to Cr, total Cho to Cr, or NAA to Cho calculated. Probabilistic neural network (PNN) analysis was performed utilizing the chemical shift region containing resonances from NAA, Cho and Cr as inputs.
No significant difference in the peak area ratios could be found using the Kruskal-Wallis test. By application of PNN, a correct classification of 52 of the 54 adolescents with a sensitivity and specificity exceeding 93% for all groups was achieved.
Small, yet systematic, differences in brain metabolite distribution among the groups were confirmed by PNN analysis.
极低出生体重（VLBW）儿童后期发生神经发育问题的风险显著增加，而足月出生的小于胎龄儿（SGA）也有发生神经功能损害的风险。
通过1.5T质子体内磁共振波谱（MRS）研究极低出生体重儿、足月小于胎龄儿青少年及对照组之间可能存在的脑代谢物差异。
从主要包含白质的左侧额叶区域采集磁共振波谱（共54名受试者）。测定N-乙酰天门冬氨酸（NAA）、胆碱（Cho）和肌酸（Cr）的峰面积，并计算NAA与Cr、总Cho与Cr或NAA与Cho的峰面积比。利用包含NAA、Cho和Cr共振的化学位移区域作为输入进行概率神经网络（PNN）分析。
使用Kruskal-Wallis检验未发现峰面积比有显著差异。通过应用PNN，54名青少年中有52名被正确分类，所有组的灵敏度和特异性均超过93%。
PNN分析证实了各组之间脑代谢物分布存在微小但有系统性的差异。
