Literature DB >> 18599574

Is there a way to predict outcome in (near) term neonates with hypoxic-ischemic encephalopathy based on MR imaging?

L Liauw1, J van der Grond, A A van den Berg-Huysmans, L A E M Laan, M A van Buchem, G van Wezel-Meijler.   

Abstract

BACKGROUND AND
PURPOSE: It has previously been demonstrated that comparison of signal intensity (SI) between selected brain structures on T1-weighted images enables distinction between the absence or presence of hypoxic-ischemic (HI) brain injury in young infants. The aim of the present study was to assess whether this method of brain structure T1-weighted SI comparison also enables prediction of outcome.
MATERIALS AND METHODS: Survivors of a group of 57 children with neonatal HI encephalopathy (HIE) grade 2 or 3 according to Sarnat and Sarnat and controls who underwent neonatal MR imaging were retrospectively assigned to 1 of 3 outcome groups at 5 years of age, depending on developmental outcome: 1) normal, 2) mildly abnormal, and 3) definitely abnormal. Gestational age was not significantly different between the HIE group (range, 35 + 5-42 + 5 weeks; mean, 39 + 4 weeks) and control group (range, 35 + 0-42 + 1 weeks; mean, 39 + 2 weeks). We calculated the predictive values of the neonatal clinical HIE classification according to Sarnat and Sarnat for outcome (neonatal death and developmental outcome in survivors). We assessed which brain structure T1-weighted SI comparison scored best for outcome prediction. Predictive values of that comparison for outcome were calculated for the entire group and for the HIE grade 2 group only, a patient group with highly variable outcome.
RESULTS: Of the 57 children, 6 died. Outcome group 1 consisted of 31; group 2, of 14; and group 3, of 6 children. The positive predictive value of the neonatal clinical classification for adverse outcome (outcome group 3 and death) was 52%; and negative predictive value, 100%. These were respectively 45% and 0% in children with HIE grade 2. Of all brain structure T1-weighted SI comparisons, that of the posterior limb of the internal capsule versus the posterolateral putamen scored best for outcome prediction. The positive predictive value for adverse outcome was 69%; and negative predictive value, 98%. In children with HIE grade 2, the positive predictive value and negative predictive value for adverse outcome were 67% and 88%.
CONCLUSIONS: Brain structure T1-weighted SI comparisons are helpful to predict outcome in (near) term neonates with HIE. This finding adds to the current knowledge and clinical practice. If the SI in the posterolateral putamen is less than the SI in the posterior limb of the internal capsule, favorable outcome is very likely, whereas if the SI in the posterolateral putamen is equal to or greater than the SI in the posterior limb of the internal capsule, adverse outcome is very likely. In neonates with HIE grade 2 according to Sarnat and Sarnat, prediction of outcome is substantially improved by using these brain structure T1-weighted SI comparisons.

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Year:  2008        PMID: 18599574      PMCID: PMC8118789          DOI: 10.3174/ajnr.A1188

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  22 in total

1.  Predicting outcome in term neonates with hypoxic-ischaemic encephalopathy using simplified MR criteria.

Authors:  Rajeev Jyoti; Ross O'Neil; Elizabeth Hurrion
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2.  Neurologic examination in infants with hypoxic-ischemic encephalopathy at age 9 to 14 months: use of optimality scores and correlation with magnetic resonance imaging findings.

Authors:  L Haataja; E Mercuri; A Guzzetta; M Rutherford; S Counsell; M Flavia Frisone; G Cioni; F Cowan; L Dubowitz
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3.  Prediction of outcome in new-born infants with arterial ischaemic stroke using diffusion-weighted magnetic resonance imaging.

Authors:  L S De Vries; J Van der Grond; I C Van Haastert; F Groenendaal
Journal:  Neuropediatrics       Date:  2005-02       Impact factor: 1.947

4.  Arnold-Chiari-II malformation and cognitive functioning in spina bifida.

Authors:  A Vinck; B Maassen; R Mullaart; J Rotteveel
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-05-11       Impact factor: 10.154

5.  Prediction of neuromotor outcome in perinatal asphyxia: evaluation of MR scoring systems.

Authors:  A J Barkovich; B L Hajnal; D Vigneron; A Sola; J C Partridge; F Allen; D M Ferriero
Journal:  AJNR Am J Neuroradiol       Date:  1998-01       Impact factor: 3.825

6.  Hypoxic-ischaemic encephalopathy: early and late magnetic resonance imaging findings in relation to outcome.

Authors:  M Rutherford; J Pennock; J Schwieso; F Cowan; L Dubowitz
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  1996-11       Impact factor: 5.747

7.  Neurological and perceptual-motor outcome at 5 - 6 years of age in children with neonatal encephalopathy: relationship with neonatal brain MRI.

Authors:  A Barnett; E Mercuri; M Rutherford; L Haataja; M F Frisone; S Henderson; F Cowan; L Dubowitz
Journal:  Neuropediatrics       Date:  2002-10       Impact factor: 1.947

8.  Neonatal encephalopathy following fetal distress. A clinical and electroencephalographic study.

Authors:  H B Sarnat; M S Sarnat
Journal:  Arch Neurol       Date:  1976-10

9.  Prediction of short-term neurological outcome in full-term neonates with hypoxic-ischaemic encephalopathy based on combined use of electroencephalogram and neuro-imaging.

Authors:  L M Leijser; A A Vein; L Liauw; T Strauss; S Veen; G van Wezel-Meijler
Journal:  Neuropediatrics       Date:  2007-10       Impact factor: 1.947

Review 10.  Neonatal brain MRI and motor outcome at school age in children with neonatal encephalopathy: a review of personal experience.

Authors:  Eugenio Mercuri; Anna L Barnett
Journal:  Neural Plast       Date:  2003       Impact factor: 3.599

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  5 in total

Review 1.  MR anatomy of deep brain nuclei with special reference to specific diseases and deep brain stimulation localization.

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Journal:  Neuroradiol J       Date:  2014-02-24

2.  Serum neuron-specific enolase, magnetic resonance imaging, and electrophysiology for predicting neurodevelopmental outcomes of neonates with hypoxic-ischemic encephalopathy: a prospective study.

Authors:  Hui-Zhi Huang; Xiao-Feng Hu; Xiao-Hong Wen; Li-Qi Yang
Journal:  BMC Pediatr       Date:  2022-05-17       Impact factor: 2.567

3.  Predictors of neurodevelopmental outcome for preterm infants with brain injury: MRI, medical and environmental factors.

Authors:  Lina Kurdahi Badr; Susan Bookheimer; Isabell Purdy; Mary Deeb
Journal:  Early Hum Dev       Date:  2009-01-11       Impact factor: 2.079

4.  Early identification of hypoxic-ischemic encephalopathy by combination of magnetic resonance (MR) imaging and proton MR spectroscopy.

Authors:  Lili Guo; Dehang Wang; Genji Bo; Hui Zhang; Weijing Tao; Ying Shi
Journal:  Exp Ther Med       Date:  2016-09-21       Impact factor: 2.447

5.  Neonatal hypoxic encephalopathy: Correlation between post-cooling brain MRI findings and 2 years neurodevelopmental outcome.

Authors:  Emilia Rosniza Mohammed Rusli; Juriza Ismail; Wong Saw Wei; Shareena Ishak; Rohana Jaafar; Faizah Mohd Zaki
Journal:  Indian J Radiol Imaging       Date:  2019-12-31
  5 in total

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