Published online Jun 16, 2024. doi: 10.12998/wjcc.v12.i17.3012
Revised: April 9, 2024
Accepted: April 18, 2024
Published online: June 16, 2024
Processing time: 103 Days and 10.7 Hours
Magnetic resonance imaging (MRI) scanning with susceptibility weighted imaging (SWI) sequences plays a significant role in the diagnosis and prognostic evaluation of neonatal hypoxic-ischemic encephalopathy (HIE).
To observe the role of MRI multi-parameter quantitative indexes in the diagnosis of neonatal HIE.
The imaging data from 23 cases of neonatal HIE admitted to the Imaging Department of Ganyu District People's Hospital of Lianyungang City and 23 neonates without HIE admitted during the same period were analyzed retro
The degree of cerebral edema (more than moderate), the number of damaged brain regions (> 2), the number of cerebral hemorrhages (> 2), and the percentage of small venous dilatation detected were higher in MRI than in CT examination, and the differences were statistically significant (P < 0.05). The total area of the largest region of cerebral damage and of cerebral hemorrhage observed by MRI examination were significantly larger than those of CT examination (P < 0.01). Multiparametric quantitative MRI combined with diffusion weighted imaging and SWI had higher sensitivity and accuracy than CT diagnosis, and the difference was statistically significant (P < 0.05). The difference in the specificity of the two modes of diagnosis was not significant (P > 0.05).
The use of MRI multi-parameter quantitative indexes can accurately diagnose and evaluate neonatal HIE.
Core Tip: Susceptibility weighted imaging (SWI) sequences in magnetic resonance imaging scanning potentially provide richer and more detailed imaging information for neonatal hypoxic-ischemic encephalopathy, facilitating early and accurate diagnosis. In prognostic evaluation, SWI reveals pathological changes related to neurological outcomes, providing essential guidance for clinical decision-making and expectations for patient families. However, interpreting SWI images requires integration with clinical manifestations and other imaging indicators to ensure diagnostic accuracy.