Background: Transcranial grayscale neurosonography (NSG) and Doppler studies have major role in diagnosing neonate intracranial pathologies. The aim of the study is to evaluate the role of NSG and Doppler studies in correlation with clinical hypotonia and seizures in preterm neonates and high-risk term neonates. The prevalence of intracranial pathology is the second aim of this study.
Methods: The present cross-sectional study was done in a tertiary care teaching hospital for 2 years. The study population of 120 cases comprised two groups: one group of 60 preterm neonates and the other of 60 high-risk term neonates with a history of well-defined episode of fetal distress. The NSG and Doppler findings (resistance index ≤0.62 is the optimum cutoff point for diagnosing perinatal asphyxia) are recorded. The sensitivity and specificity values for the NSG study alone, the Doppler study alone, and the combined NSG and Doppler studies are calculated.
Results: The majority (46%) of preterm neonates had presented with germinal matrix hemorrhage, whereas a majority (46%) of high-risk term neonates had presented with periventricular and subcortical cysts. Comparison of the sensitivity of NSG versus Doppler versus combined NSG and Doppler in evaluating hypotonia and seizures in preterm ( = 0.0442) and high-risk term neonates ( = 0.0399) was significant.
Conclusion: NSG combined with the Doppler study has significantly higher sensitivity than NSG alone in both groups. The specificity of the Doppler study is also high in both groups. Thus, it is strongly recommended to include Doppler during every NSG study to increase the detection rate.
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http://dx.doi.org/10.4103/jmu.jmu_72_23 | DOI Listing |
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The accurate, repeatable, and cost-effective quantitative characterization of mild traumatic brain injuries (mTBIs) is crucial for safeguarding the long-term health and performance of high-risk groups, including athletes, emergency responders, and military personnel. However, gaps remain in optimizing mTBI assessment methods, especially regarding the integration of neuromechanical metrics such as reaction time (RT) in predictive models. This review synthesizes existing research on the use of neuromechanical probabilistic models as tools for assessing mTBI, with an emphasis on RT's role in predictive diagnostics.
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