Evaluation of influencing factors for the severity of cerebral microbleed and its relationship with cognitive impairment in end-stage renal disease using MRI semi-automatic quantitative susceptibility imaging
10.3760/cma.j.cn112149-20230412-00273
- VernacularTitle:MRI半自动定量磁敏感图评估终末期肾病患者脑微出血严重程度的影响因素及其与认知损害的关系
- Author:
Chao CHAI
1
;
Hongyan LIU
;
Huiying WANG
;
Jinping LI
;
Shuang XIA
Author Information
1. 天津市影像医学研究所 天津市第一中心医院放射科 南开大学医学院，天津 300192
- Keywords:
Magnetic resonance imaging;
End-stage renal disease;
Cerebral microbleeds;
Quantitative susceptibility mapping;
Cognition disorders
- From:
Chinese Journal of Radiology
2024;58(1):48-56
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the influencing factors for total number, total volume, and total iron burden of cerebral microbleeds (CMBs) and the relationship between CMBs with cognitive impairment in end-stage renal disease (ESRD) using semi-automatic quantitative susceptibility mapping (QSM).Methods:The study was a cross-sectional study. Clinical and imaging data of 46 ESRD patients with≥1 CMBs who attended Tianjin First Central Hospital from November 2018 to August 2022 were retrospectively analyzed. There were 26 males and 20 females, aged 42-75 years. All patients underwent susceptibility-weighted imaging (SWI) scanning, then SWI data was post-processed to obtain QSM. The semi-automatic dynamic programming algorithm was used to get the volume and mean susceptibility value of each CMB by sketching the boundary of CMBs. The CMBs iron load total volume were calculated. Stepwise linear regression analysis was used to explore independent influencing factors for the number, total volume, and total iron burden of CMBs in ESRD patients. Partial correlation analysis was used to explore the relationship between CMBs and cognitive impairment with the other signs of cerebral small vessel diseases as covariates.Results:In patients with ESRD, CMBs were located in the frontal lobe in 19 cases, parietal lobe in 9 cases, temporal lobe in 19 cases, occipital lobe in 14 cases, basal ganglia in 27 cases, dorsal thalamus in 15 cases, centrum semiovale in 14 cases, cerebellum in 14 cases, and brainstem in 13 cases. C-reactive protein levels (95% CI 101.81-157.85, r=0.96, P=0.001) and creatinine levels (95% CI 5.32-29.61, r=0.71, P=0.010) were influencing factors for the total iron burden of CMBs. C-reactive protein levels (95% CI 0.72-1.15, r=0.99, P=0.001) and creatinine levels (95% CI 0.03-0.22, r=0.89, P=0.014) were influencing factors for the total volume of CMBs. C-reactive protein levels (95% CI 0.10-0.12, r=0.96, P=0.001) and alkaline phosphatase levels (95% CI 0.16-0.38, r=0.59, P=0.001) were influencing factors for the number of CMBs. The total volume ( r=-0.61, P=0.009) and total iron burden ( r=-0.71, P=0.002) of CMBs in the frontal lobe were negatively correlated with cognitive function. However, although the number of CMBs in the frontal lobe was negatively correlated with cognitive function, the statistics analysis was insignificant ( r=-0.53, P=0.063). Conclusions:C-reactive protein and creatinine are influencing factors for CMBs′ total volume and total iron burden; C-reactive protein levels and alkaline phosphatase are influencing factors for the number of CMBs. The total iron burden and total volume of CMBs in the frontal lobe may be the biomarkers of cognitive impairment in patients with end-stage renal disease.
