Literature DB >> 20720073

Value of cerebral microhemorrhages detected with susceptibility-weighted MR Imaging for prediction of long-term outcome in children with nonaccidental trauma.

Cherie A Colbert1, Barbara A Holshouser, Gregory S Aaen, Clare Sheridan, Udochukwu Oyoyo, Daniel Kido, Stephen Ashwal.   

Abstract

PURPOSE: To determine the prevalence of parenchymal brain microhemorrhages (MHs) in infants with nonaccidental trauma (NAT) by using susceptibility-weighted (SW) magnetic resonance (MR) imaging and to assess whether the presence of MH results in improved prediction of the long-term neurologic outcome.
MATERIALS AND METHODS: A retrospective case-control analysis of the data for 101 children aged 1-32 months with forensic pediatric specialist-confirmed NAT was performed with institutional review board approval. Sixty-two patients were boys (mean age, 8.4 months +/- 7.4 [standard deviation]), and 39 were girls (mean age, 7.4 months +/- 7.8). The imaging findings and clinical data of the children who were examined with SW imaging were collected. Exclusion criteria included pre-existing cognitive delays, central nervous system malformations, previous brain injuries, and/or birth before 30 weeks gestation. Dichotomized long-term neurologic outcomes (good [normal, mild disability, or moderate disability] versus poor [severe disability, vegetative state, or death]) at greater than or equal to 6 months (mean, 33 months; range 6-95 months) were available for 53 patients (36 boys [mean age, 7.3 months +/- 5.9]; 17 girls [mean age, 7.4 months +/- 7.9]; overall range, 2-32 months). Logistic regression was used to determine whether the presence of SW imaging-depicted MH, as compared with other radiologic findings, resulted in improved prediction of long-term neurologic outcome.
RESULTS: Imaging findings showed that of the 101 patients, 29 (29%) had MH at SW imaging, 66 (65%) had extraaxial hemorrhages, 52 (51%) had retinal hemorrhages, and 35 (35%) had evidence of acute ischemic injury. A significantly larger number of children with poor outcomes than children with good outcomes had brain MH (nine of 14 vs seven of 39; P = .001) and ischemic injury (13 of 14 vs 17 of 39; P = .006). Logistic regression analysis revealed presence of MH at SW imaging-followed by acute ischemic injury, initial Glasgow Coma Scale score, and age-to be the most significant single variable in the final model, with an overall predictive accuracy of 92.5%.
CONCLUSION: Presence of intraparenchymal brain MH in children with NAT, as detected on SW images, correlates with significantly poor long-term neurologic outcome, improves outcome prediction compared with the predictions made by using other tested clinical and imaging findings, and is most predictive when combined with presence of ischemic injury.

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Year:  2010        PMID: 20720073     DOI: 10.1148/radiol.10091842

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  20 in total

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3.  Use of multisequence 3.0-T MRI to detect severe traumatic brain injury and predict the outcome.

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Journal:  Br J Radiol       Date:  2015-06-12       Impact factor: 3.039

4.  Diagnostic Performance of Ultrafast Brain MRI for Evaluation of Abusive Head Trauma.

Authors:  S F Kralik; M Yasrebi; N Supakul; C Lin; L G Netter; R A Hicks; R A Hibbard; L L Ackerman; M L Harris; C Y Ho
Journal:  AJNR Am J Neuroradiol       Date:  2017-02-09       Impact factor: 3.825

5.  Detection of microhemorrhage in posterior reversible encephalopathy syndrome using susceptibility-weighted imaging.

Authors:  A M McKinney; B Sarikaya; C Gustafson; C L Truwit
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Review 6.  Abusive head trauma: neuroimaging mimics and diagnostic complexities.

Authors:  Jai Sidpra; Sahil Chhabda; Adam J Oates; Aashim Bhatia; Susan I Blaser; Kshitij Mankad
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7.  Traumatic microbleeds suggest vascular injury and predict disability in traumatic brain injury.

Authors:  Allison D Griffin; L Christine Turtzo; Gunjan Y Parikh; Alexander Tolpygo; Zachary Lodato; Anita D Moses; Govind Nair; Daniel P Perl; Nancy A Edwards; Bernard J Dardzinski; Regina C Armstrong; Abhik Ray-Chaudhury; Partha P Mitra; Lawrence L Latour
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8.  Quantification of brain edema and hemorrhage by MRI after experimental traumatic brain injury in rabbits predicts subsequent functional outcome.

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9.  The emergence of age-dependent social cognitive deficits after generalized insult to the developing brain: a longitudinal prospective analysis using susceptibility-weighted imaging.

Authors:  Nicholas P Ryan; Cathy Catroppa; Janine M Cooper; Richard Beare; Michael Ditchfield; Lee Coleman; Timothy Silk; Louise Crossley; Miriam H Beauchamp; Vicki A Anderson
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Review 10.  Non-accidental trauma: the role of radiology.

Authors:  Cory M Pfeifer; Matthew R Hammer; Kate L Mangona; Timothy N Booth
Journal:  Emerg Radiol       Date:  2016-11-10
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