International journal of molecular sciences · 2025
Sensitivity of Diffusion Tensor Imaging for Assessing Injury Severity in a Rat Model of Isolated Diffuse Axonal Injury: Comparison with Histology and Neurological Assessment.
СтатьяСравнительное исследованиеНазвание и аннотация: Перевод в очереди
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Zvenigorodsky Vladislav, Gruenbaum Benjamin F, Shelef Ilan, Frank Dmitry, Tsafarov Beatris, Negev Shahar, Zeldetz Vladimir, Azab Abed N, Boyko Matthew, Zlotnik Alexander
Аннотация
Diffuse axonal brain injury (DAI) is a common, debilitating consequence of traumatic brain injury, yet its detection and severity grading remain challenging in clinical and experimental settings. This study evaluated the sensitivity of diffusion tensor imaging (DTI), histology, and neurological severity scoring (NSS) in assessing injury severity in a rat model of isolated DAI. A rotational injury model induced mild, moderate, or severe DAI in male and female rats. Neurological deficits were assessed 48 h after injury via NSS. Magnetic resonance imaging, including DTI metrics, such as fractional anisotropy (FA), relative anisotropy (RA), axial diffusivity (AD), mean diffusivity (MD), and radial diffusivity (RD), was performed prior to tissue collection. Histological analysis used beta amyloid precursor protein immunohistochemistry. Sensitivity and variability of each method were compared across brain regions and the whole brain. Histology was the most sensitive method, requiring very small groups to detect differences. Anisotropy-based MRI metrics, especially whole-brain FA and RA, showed strong correlations with histology and NSS and demonstrated high sensitivity with low variability. NSS identified injury but required larger group sizes. Diffusivity-based MRI metrics, particularly RD, were less sensitive and more variable. Whole-brain FA and RA were the most sensitive MRI measures of DAI severity and were comparable to histology in moderate and severe groups. These findings support combining NSS and anisotropy-based DTI for non-terminal DAI assessment in preclinical studies.