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Microstructural brain abnormalities correlate with neurocognitive dysfunction in minimal hepatic encephalopathy: a
Jing-Li Li1, Heng Jiang2, Xiao-Dong Zhang1
1Department of Radiology, Tianjin First Central Hospital, Tianjin, 300192, China.
Purpose:
To investigate the diffusion kurtosis imaging (DKI) in early minimal hepatic encephalopathy (MHE) diagnosis and evaluate the correlations between changes in DKI metrics and cognitive performance.
Methods:
We enrolled 116 cirrhosis patients, divided into non-HE (n = 61) and MHE (n = 55), and 46 normal controls (NCs). All patients underwent cognitive testing before magnetic resonance imaging. DKI metrics were calculated through whole-brain voxel-based analysis (VBA) and differences between the groups were assessed. Pearson correlation between the DKI metrics and cognitive performance was analysed. The receiver operating characteristic (ROC) curve was used to analyse the diagnostic efficiency of DKI metrics for MHE.
Results:
MHE patients had significantly altered DKI metrics in a wide range of regions; lower fractional anisotropy (FA) and higher mean diffusivity (MD) are mainly located in the corpus callosum, left temporal white matter (WM), and right medial frontal WM. Furthermore, significantly altered kurtosis metrics included lower mean kurtosis (MK) in the corpus callosum and left thalamus, lower radial kurtosis (RK) in the corpus callosum, and lower axial kurtosis (AK) in the right anterior thalamic radiation. Alterations in axial diffusivity (AD), radial diffusivity (RD), and MD were closely correlated with cognitive scores. The ROC curves indicated AD in the forceps minor had the highest predictive performance for MHE in the cirrhosis patients (area under curve = 0.801, sensitivity = 77.05%, specificity = 74.55%).
Conclusions:
Altered DKI metrics indicate brain microstructure abnormalities in MHE patients, some of which may be used as neuroimaging markers for early MHE diagnosis.
Insights
Diffusion kurtosis imaging (DKI) reveals brain microstructure changes in minimal hepatic encephalopathy (MHE). Specific DKI metrics show potential as neuroimaging markers for early MHE diagnosis in cirrhosis patients.
Area of Science:
- Neuroimaging
- Diffusion Tensor Imaging
- Diffusion Kurtosis Imaging
Background:
- Minimal hepatic encephalopathy (MHE) is a subclinical complication of cirrhosis.
- Early diagnosis of MHE is crucial for timely intervention and management.
- Current diagnostic methods may not be sensitive enough for early MHE detection.
Purpose of the Study:
- To investigate the utility of diffusion kurtosis imaging (DKI) in diagnosing early MHE.
- To assess the correlation between DKI metrics and cognitive performance in cirrhosis patients.
- To identify potential neuroimaging biomarkers for MHE.
Main Methods:
- 116 cirrhosis patients (61 non-HE, 55 MHE) and 46 healthy controls underwent cognitive testing and DKI MRI.
- Voxel-based analysis (VBA) was used to calculate DKI metrics.
- Pearson correlation and ROC curve analysis were performed to evaluate diagnostic efficiency.
Main Results:
- MHE patients exhibited significant alterations in DKI metrics across various brain regions.
- Lower fractional anisotropy (FA) and higher mean diffusivity (MD) were observed in specific white matter tracts.
- Altered kurtosis metrics (MK, RK, AK) were also noted.
- Axial diffusivity (AD) in the forceps minor showed the highest diagnostic performance for MHE (AUC=0.801).
Conclusions:
- DKI can detect brain microstructure abnormalities associated with MHE.
- Certain altered DKI metrics, particularly AD, show promise as neuroimaging markers for early MHE diagnosis.
- These findings support the use of DKI in the clinical evaluation of cirrhosis patients.
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