Horizontal analysis and longitudinal cohort study of chronic renal failure correlates and cerebral small vessel disease relationship using peak width of skeletonized mean diffusivity

被引:0
作者
Wang, Dan [1 ]
Sun, Zheng [1 ]
Li, Yuehua [1 ]
机构
[1] Shanghai Jiao Tong Univ, Shanghai Peoples Hosp 6, Inst Diagnost & Intervent Radiol, Sch Med, Shanghai, Peoples R China
来源
FRONTIERS IN NEUROLOGY | 2024年 / 15卷
基金
中国国家自然科学基金;
关键词
MRI; PSMD; chronic renal failure; white matter lesion; cerebrovascular; CHRONIC KIDNEY-DISEASE; ASSOCIATION; DEMENTIA; MRI;
D O I
10.3389/fneur.2024.1461258
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and purpose Peak width of skeletonized mean diffusivity (PSMD) is an MRI-based biomarker that may reflect white matter lesions (WML). PSMD is based on skeletonization of MR DTI data and histogram analysis. Both chronic renal failure (CRF) and WML may be affected by multisystemic small-vessel disorder. We aimed to explore the relationship between PSMD and estimated glomerular filtration rate (eGFR). Methods Fifty followed-up CRF patients matched for age, sex, hypertension and smoking status were enrolled and classified into a progressive group (n = 16) and stable group (n = 34) based on eGFR levels. Longitudinal and horizontal differences of PSMD were compared between the progressive and stable groups at the initial and follow-up time points. Pearson's correlation was used for correlation of eGFR with PSMD and WML (per Fazekas scale score). ROC was used to measure the sensitivity of PSMD and WML score to changes of eGFR. Results At the follow-up time point, PSMD of the progressive group was significantly higher than at the initial time point (p < 0.001), and PSMD of the progressive group was significantly higher than stable group (p < 0.001). PSMD and eGFR were significantly correlated. AUC curves explored that Delta PSMD (PSMD changes at the follow-up and initial time points) and follow-up PSMD was better for the classification of progressive and stable groups. Conclusion PSMD has significant correlation with eGFR, PSMD can reveal a close relationship between WML and CRF.
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页数:9
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