2022
DOI: 10.3389/fnins.2022.931360
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Development of a composite diffusion tensor imaging score correlating with short-term neurological status in neonatal hypoxic–ischemic encephalopathy

Abstract: Hypoxic–ischemic encephalopathy (HIE) is the most common cause of neonatal acquired brain injury. Although conventional MRI may predict neurodevelopmental outcomes, accurate prognostication remains difficult. As diffusion tensor imaging (DTI) may provide an additional diagnostic and prognostic value over conventional MRI, we aimed to develop a composite DTI (cDTI) score to relate to short-term neurological function. Sixty prospective neonates treated with therapeutic hypothermia (TH) for HIE were evaluated wit… Show more

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Cited by 3 publications
(4 citation statements)
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“…Early feeding failure represents the first delay in attaining a significant developmental milestone in infancy and has been used as a short-term neurologic outcome in a study of HIE infants (Onda et al, 2022). Our cohort was clearly delayed in their oromotor skills and feeding abilities, and the majority had CNS injury evident on neuroimaging studies.…”
Section: Discussionmentioning
confidence: 93%
“…Early feeding failure represents the first delay in attaining a significant developmental milestone in infancy and has been used as a short-term neurologic outcome in a study of HIE infants (Onda et al, 2022). Our cohort was clearly delayed in their oromotor skills and feeding abilities, and the majority had CNS injury evident on neuroimaging studies.…”
Section: Discussionmentioning
confidence: 93%
“…However, a recent study combined atlas-based image quantification with a least absolute shrinkage and selection operator regression model to detect changes in DTI, i.e., FA and MD changes in limbic, frontotemporal, and corticospinal projection fibers, even in mild HIE. The score obtained from the least absolute shrinkage and selection operator regression model, named the composite DTI (cDTI) score, correlated strongly with short-term neurological outcome (rho = 0.83) and was also associated with changes in serum biomarkers, such as IL10 and tau [[99]]. Notably, although voxel size was controlled, the study included four different scanners and slightly different scanning protocols, but there was no significant effect of scanner and scanning parameters on the cDTI score.…”
Section: Dti For Neuroprognostication In Hiementioning
confidence: 99%
“…Further studies are needed to determine whether non-tensor models such as fixel-based analysis and non-tensor-based probabilistic tractography can provide better prognostic prediction than a conventional tensor model. Predictive modeling by applying machine learning to input variables from the whole brain has also been introduced in several studies [[99], [104]], showing the potential to maximize the prognostic predictive ability of DTI by comprehensively identifying imaging changes that may contribute to the pathogenesis of HIE. Such an approach is expected to improve the sensitivity of detecting minor pathological changes, as demonstrated in [[99]].…”
Section: Remaining Challenges and Future Directionsmentioning
confidence: 99%
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