Neuroimaging Findings From Cerebral Structure and Function in Coronary Artery Disease DOI

Wanbing Wang,

Xinghua Zhang, Jinhao Lyu

et al.

Journal of Magnetic Resonance Imaging, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 28, 2024

An increasing number of evidence suggests that bidirectional communication between the cardiovascular system and central nervous (CNS), known as heart–brain interaction, is crucial in understanding impact coronary artery disease (CAD) on brain health. The multifactorial role CAD involves processes such inflammation, oxidative stress, neuronal activity, neuroendocrine imbalances, reduced cerebral perfusion, leading to various abnormalities. mechanisms underlying relationship injury are complex involve parallel pathways CNS, endocrine system, immune system. Although exact remain partially understood, neuroimaging techniques offer valuable insights into subtle abnormalities patients. Neuroimaging techniques, including assessment neural function, metabolism, white matter microstructure, volume, provide information evolving nature CAD‐related over time. This review provides an overview pathophysiological interaction summarizes recent studies utilizing multiparametric investigate associated with CAD. application advanced neuroimaging, particularly functional, diffusion, perfusion offers high resolution, capabilities, contrast, thereby allowing for early detection changes structure facilitating further exploration intricate Level Evidence 5 Technical Efficacy Stage 3

Language: Английский

Predicting progression of cerebral small vessel disease: relevance of carotid perivascular fat density based on computed tomography angiography DOI
Wei Fu, Zhiyong Ma, Bingqing Mei

et al.

Quantitative Imaging in Medicine and Surgery, Journal Year: 2025, Volume and Issue: 15(2), P. 1582 - 1598

Published: Jan. 24, 2025

Symptomatic carotid lesions surrounded by perivascular fat have been found to be associated with the presence of cerebral small vessel disease (CSVD). In this study, we investigated possible relationship density (PFD) CSVD and its progression, independent stenosis. This study retrospectively evaluated consecutive patients without stenosis who underwent computed tomography angiography (CTA), perfusion (CTP), two brain magnetic resonance imaging (MRI) scans at Zhejiang Provincial People's Hospital (hospital I) from January 2019 March 2024. Patients were categorized into three groups: (n=34), progression (n=83), (n=146) according MRI markers CSVD. Additionally, 65 (including 22 43 progression) collected Hangzhou Traditional Chinese Medicine II) for external validation. PFD was quantified using a dedicated software. The association between status on CTP assessed. associations also analyzed. Six models based PFD, significant clinical factors, radiomic signatures developed validated predict progression. values positively lacunes, microbleeds (CMBs), white matter hyperintensities (WMH) (all P<0.05). addition, had higher than those [-51.38±7.35 vs. -57.19±7.31 Hounsfield unit (HU); P<0.001]. Multivariate analysis indicated that diabetes, coronary artery disease, predictors Moreover, hybrid model showed enhanced performance yielded highest area under receiver operating characteristic curve (AUC) operator [training: AUC =0.818, 95% confidence interval (CI): 0.758-0.876; internal validation: =0.805, CI: 0.690-0.908; =0.807, 0.676-0.921]. that, in participants stenosis, predictive suggesting involvement inflammation present pathogenesis

Language: Английский

Citations

0

Neuroimaging Findings From Cerebral Structure and Function in Coronary Artery Disease DOI

Wanbing Wang,

Xinghua Zhang, Jinhao Lyu

et al.

Journal of Magnetic Resonance Imaging, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 28, 2024

An increasing number of evidence suggests that bidirectional communication between the cardiovascular system and central nervous (CNS), known as heart–brain interaction, is crucial in understanding impact coronary artery disease (CAD) on brain health. The multifactorial role CAD involves processes such inflammation, oxidative stress, neuronal activity, neuroendocrine imbalances, reduced cerebral perfusion, leading to various abnormalities. mechanisms underlying relationship injury are complex involve parallel pathways CNS, endocrine system, immune system. Although exact remain partially understood, neuroimaging techniques offer valuable insights into subtle abnormalities patients. Neuroimaging techniques, including assessment neural function, metabolism, white matter microstructure, volume, provide information evolving nature CAD‐related over time. This review provides an overview pathophysiological interaction summarizes recent studies utilizing multiparametric investigate associated with CAD. application advanced neuroimaging, particularly functional, diffusion, perfusion offers high resolution, capabilities, contrast, thereby allowing for early detection changes structure facilitating further exploration intricate Level Evidence 5 Technical Efficacy Stage 3

Language: Английский

Citations

1