Prognostic value of 1H-MRS in perinatal CNS insults

The authors studied 37 term neonates (38–42 gestational weeks) at 1–11 days after central nervous system insult to determine whether proton magnetic resonance spectroscopy ( 1H-MRS) of the occipital gray/parietal white matter was useful in predicting outcomes. Etiologies included asphyxia, 18; sepsi...

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Veröffentlicht in:Pediatric neurology 1997-11, Vol.17 (4), p.309-318
Hauptverfasser: Shu, Stanford K., Ashwal, Stephen, Holshouser, Barbara A., Nystrom, Gerald, Hinshaw, David B.
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Sprache:eng
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Zusammenfassung:The authors studied 37 term neonates (38–42 gestational weeks) at 1–11 days after central nervous system insult to determine whether proton magnetic resonance spectroscopy ( 1H-MRS) of the occipital gray/parietal white matter was useful in predicting outcomes. Etiologies included asphyxia, 18; sepsis/meningitis, 8; metabolic disorders, 5; stroke, 4; and trauma, 2. 1H-MRS data (1.5T; 8 cm 3 vol, stimulated echo acquisition mode sequence, TE = 20 ms, TR = 3000 ms) were expressed as metabolite peak area ratios (NAA/Cr, NAA/Cho, Cho/Cr) and the presence or absence of lactate. Outcomes were assessed at 6 to 12 months post-insult using the Pediatric Cerebral Performance Scale and were dichotomized as follows: good/moderate outcome (good, mild or moderate disability) or poor outcome (severe disability, persistent vegetative state, death). Neonaes with poor outcomes had significantly lower NAA/Cho and significantly higher Cho/Cr ratios in the occipital region, as compared with patients with good/moderate outcomes. No neonates with good/moderate outcomes had metabolite ratios that exceeded 2 standard deviations from the mean. In addition, the absence of lactate on 1H-MRS correlated with a good/moderate outcomes. The study also showed that 1H-MRS metabolite ratio data, added to either the Sarnat or EEG scores, enhanced the correlation between these prognostic factors and outcomes. 1H-MRS provides additional objective data early after a wide variety of perinatal neurologic insults to enhance outcome prediction.
ISSN:0887-8994
1873-5150
DOI:10.1016/S0887-8994(97)00140-9