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Zhang Y, Cao J, Qiao C, Gao B, Du W, Lin L, Liu N, Song Q, Miao Y. Fast imaging of lenticulostriate arteries by high-resolution black-blood T1-weighted imaging with variable flip angles and acceleration by compressed sensitivity encoding. Magn Reson Imaging 2024; 110:51-56. [PMID: 38458551 DOI: 10.1016/j.mri.2024.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 02/24/2024] [Accepted: 03/04/2024] [Indexed: 03/10/2024]
Abstract
OBJECTIVE We investigated the feasibility of using compressed sensitivity encoding (CS-SENSE) to accelerate high-resolution black-blood T1-weighted imaging with variable flip angles (T1WI-VFA) for efficient visualization and characterization of lenticulostriate arteries (LSAs) on a 3.0 T MR scanner. MATERIALS AND METHODS Twenty-five healthy volunteers and 18 patients with the cerebrovascular disease were prospectively enrolled. Healthy volunteers underwent T1WI-VFA sequences with different acceleration factors (AFs), including conventional sensitivity encoding (SENSE) AF = 3 and CS-SENSE AF = 3, 4, 5, and 6 (SENSE3, CS3, CS4, CS5, CS6, respectively) at 3 Tesla MRI scanner. Objective evaluation (contrast ratio and number, length, and branches of LSAs) and subjective evaluation (overall image quality and LSA visualization scores) were used to assess image quality and LSA visualization. Comparisons were performed among the 5 sequences to select the best AF. All patients underwent both T1WI-VFA with the optimal AF and digital subtraction angiography (DSA) examination, and the number of LSAs observed by T1WI-VFA was compared with that by DSA. RESULTS Pair-wise comparisons among CS3, CS4, and SENSE3 revealed no significant differences in both objective measurements and subjective evaluation (all P > 0.05). In patients, there was no significant difference in LSA counts on the same side between T1WI-VFA with CS4 and DSA (3, 3-4 and 3, 3-3, P = 0.243). CONCLUSIONS CS3 provided better LSA visualization but a longer scan duration compared to CS4. And, CS4 strikes a good balance between LSA visualization and acquisition time, which is recommended for routine clinical use.
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Affiliation(s)
- Yukun Zhang
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Jiajun Cao
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Chen Qiao
- Department of Intervention, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Bingbing Gao
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Wei Du
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Liangjie Lin
- Clinical and Technical Support, Philips Healthcare, Beijing 100000, China
| | - Na Liu
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Qingwei Song
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Yanwei Miao
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
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Li J, Bian Y, Wu F, Fan Z, Zhang C, Zhao X, Ji X, Yang Q. Association of Morphology of Lenticulostriate Arteries and Proximal Plaque Characteristics With Single Subcortical Infarction: A Whole-Brain High-Resolution Vessel Wall Imaging Study. J Am Heart Assoc 2024; 13:e032856. [PMID: 38726896 PMCID: PMC11179825 DOI: 10.1161/jaha.123.032856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 03/15/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND We aimed to investigate the association of characteristics of lenticulostriate artery (LSA) morphology and parental atheromatous disease (PAD) with single subcortical infarction (SSI) and to explore whether the LSA morphology is correlated with proximal plaque features in asymptomatic PAD. METHODS AND RESULTS Patients with acute SSI were prospectively enrolled and classified as large- and small-SSI groups. The clinical data and imaging features of LSA morphology (branches, length, dilation, and tortuosity) and middle cerebral artery plaques (normalized wall index, remodeling index, enhancement degree, and hyperintense plaques) were evaluated. Logistic regression was performed to determine the association of large SSIs with morphologic features of LSAs and plaques. The Spearman correlation between the morphologic characteristics of LSAs and plaque features in asymptomatic PAD was analyzed. Of the 121 patients recruited with symptomatic PAD, 102 had coexisting asymptomatic contralateral PAD. The mean length of LSAs (odds ratio, 0.84 [95% CI, 0.73-0.95]; P=0.007), mean tortuosity of LSAs (odds ratio, 1.13 [95% CI, 1.05-1.22]; P=0.002), dilated LSAs (odds ratio, 22.59 [95% CI, 2.46-207.74]; P=0.006), and normalized wall index (odds ratio, 1.08 [95% CI, 1.01-1.15]; P=0.022) were significantly associated with large SSIs. Moreover, the normalized wall index was negatively correlated with the mean length of LSAs (r=-0.348, P<0.001), and the remodeling index was negatively correlated with the mean tortuosity of LSAs (r=-0.348, P<0.001) in asymptomatic PAD. CONCLUSIONS Our findings suggest that mean length of LSAs, mean tortuosity of LSAs, dilated LSAs, and normalized wall index are associated with large SSIs. Moreover, plaque features in asymptomatic PAD are correlated with morphologic features of LSAs.
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Affiliation(s)
- Jin Li
- Department of Radiology Beijing Chaoyang Hospital, Capital Medical University Beijing China
| | - Yueyan Bian
- Department of Radiology Beijing Chaoyang Hospital, Capital Medical University Beijing China
| | - Fang Wu
- Department of Radiology Xuanwu Hospital, Capital Medical University Beijing China
| | - Zhaoyang Fan
- Department of Radiology, Keck School of Medicine University of Southern California Los Angeles CA USA
| | - Chen Zhang
- MR Research Collaboration, Siemens Healthineers Beijing China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering Tsinghua University School of Medicine Beijing China
| | - Xunming Ji
- Department of Neurology Xuanwu Hospital, Capital Medical University Beijing China
- Beijing Institute of Brain Disorders, Capital Medical University Beijing China
| | - Qi Yang
- Department of Radiology Beijing Chaoyang Hospital, Capital Medical University Beijing China
- Key Lab of Medical Engineering for Cardiovascular Disease Ministry of Education Beijing China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine Beijing China
- Laboratory for Clinical Medicine Capital Medical University Beijing China
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Zachariou V, Pappas C, Bauer CE, Shao X, Liu P, Lu H, Wang DJJ, Gold BT. Regional differences in the link between water exchange rate across the blood-brain barrier and cognitive performance in normal aging. GeroScience 2024; 46:265-282. [PMID: 37713089 PMCID: PMC10828276 DOI: 10.1007/s11357-023-00930-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 09/04/2023] [Indexed: 09/16/2023] Open
Abstract
The blood-brain barrier (BBB) undergoes functional changes with aging which may contribute to cognitive decline. A novel, diffusion prepared arterial spin labeling-based MRI technique can measure the rate of water exchange across the BBB (kw) and may thus be sensitive to age-related alterations in water exchange at the BBB. However, studies investigating relationships between kw and cognition have reported different directions of association. Here, we begin to investigate the direction of associations between kw and cognition in different brain regions, and their possible underpinnings, by evaluating links between kw, cognitive performance, and MRI markers of cerebrovascular dysfunction and/or damage. Forty-seven healthy older adults (age range 61-84) underwent neuroimaging to obtain whole-brain measures of kw, cerebrovascular reactivity (CVR), and white matter hyperintensity (WMH) volumes. Additionally, participants completed uniform data set (Version 3) neuropsychological tests of executive function (EF) and episodic memory (MEM). Voxel-wise linear regressions were conducted to test associations between kw and cognitive performance, CVR, and WMH volumes. We found that kw in the frontoparietal brain regions was positively associated with cognitive performance but not with CVR or WMH volumes. Conversely, kw in the basal ganglia was negatively associated with cognitive performance and CVR and positively associated with regional, periventricular WMH volume. These regionally dependent associations may relate to different physiological underpinnings in the relationships between kw and cognition in neocortical versus subcortical brain regions in older adults.
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Affiliation(s)
- Valentinos Zachariou
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, USA.
| | - Colleen Pappas
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, USA
| | - Christopher E Bauer
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, USA
| | - Xingfeng Shao
- Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Peiying Liu
- Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Hanzhang Lu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Danny J J Wang
- Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Brian T Gold
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, USA
- Sanders-Brown Center On Aging, University of Kentucky, Lexington, KY, USA
- Magnetic Resonance Imaging and Spectroscopy Center, University of Kentucky, Lexington, KY, USA
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Huang P, Chen K, Liu C, Zhen Z, Zhang R. Visualizing Cerebral Small Vessel Degeneration During Aging and Diseases Using Magnetic Resonance Imaging. J Magn Reson Imaging 2023; 58:1323-1337. [PMID: 37052571 DOI: 10.1002/jmri.28736] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 03/28/2023] [Accepted: 03/30/2023] [Indexed: 04/14/2023] Open
Abstract
Cerebral small vessel disease is a major contributor to brain disorders in older adults. It is associated with a much higher risk of stroke and dementia. Due to a lack of clinical and fluid biomarkers, diagnosing and grading small vessel disease are highly dependent on magnetic resonance imaging. In the past, researchers mostly used brain parenchymal imaging markers to represent small vessel damage, but the relationships between these surrogate markers and small vessel pathologies are complex. Recent progress in high-resolution magnetic resonance imaging methods, including time-of-flight MR angiography, phase-contrast MR angiography, black blood vessel wall imaging, susceptibility-weighted imaging, and contrast-enhanced methods, allow for direct visualization of cerebral small vessel structures. They could be powerful tools for understanding aging-related small vessel degeneration and improving disease diagnosis and treatment. This article will review progress in these imaging techniques and their application in aging and disease studies. Some challenges and future directions are also discussed. EVIDENCE LEVEL: 4. TECHNICAL EFFICACY: 3.
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Affiliation(s)
- Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Kang Chen
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Chen Liu
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhiming Zhen
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ruiting Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Zhang Y, Chang P, Liu N, Jiang Y, Chu Y, Du W, Lin L, Gao B, Li Y, Qu M, Yang C, Miao Y. Correlation between lenticulostriate arteries and white matter microstructure changes in patients with cerebral small vessel disease. Front Neurosci 2023; 17:1202538. [PMID: 37817799 PMCID: PMC10560852 DOI: 10.3389/fnins.2023.1202538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 09/05/2023] [Indexed: 10/12/2023] Open
Abstract
To explore the correlation between the number of lenticulostriate arteries (LSAs) and the white matter features in cerebral small vessel diseases (CSVD) by 3T magnetic resonance imaging (MRI). Seventy-one patients with diagnoses of CSVD were prospectively enrolled to undergo 3T MRI examination, including high-resolution vascular wall imaging (VWI) and diffusion tensor imaging (DTI). The LSAs were observed and counted on VWI, and the patients were divided into three groups according to the LSA counts. The presence of white matter hyperintensities (WMHs), lacunes, cerebral microbleeds (CMBs), and enlarged perivascular spaces (EPVS) was assessed in each patient, and a composite CSVD score was calculated. Periventricular and deep white matter hyperintensity (PVWMH, DWMH) volume ratios were obtained based on automatic segmentation. Fractional anisotropy (FA) and mean diffusivity (MD) were processed by using tract-based spatial statistics (TBSS) analysis. These parameters were compared among the three groups. Correlations between the LSA counts and white matter features were also analyzed. There were differences in WMHs (P = 0.001), CMBs (P < 0.001), EPVS (P = 0.017), composite CSVD scores (P < 0.001), PVWMH volume ratios (P = 0.001), DWMH volume ratios (P < 0.001), global FA (P = 0.001), and global MD (P = 0.002) among the three groups. There were correlations between the LSA counts and WMHs (r = -0.45, P < 0.001), CMBs (r = -0.44, P < 0.001), EPVS (r = -0.28, P = 0.020), the composite CSVD score (r = -0.52, P < 0.001), DWMH volume ratio (r = -0.47, P < 0.001), PWMH volume ratio (r = -0.34, P = 0.004), global FA (r = 0.36, P = 0.002), and global MD (r = -0.33, P = 0.005). Diabetes mellitus (OR 3.36, 95% CI 1.06-10.63; P = 0.039) and increased DWMH volume ratios (OR 1.04, 95% CI 1.00-1.08; P = 0.048) were independent risk factors for a decrease in LSA counts. TBSS analysis showed differences among the three groups in global FA and MD after adjusting for age and sex (P < 0.05). The LSA counts was associated with white matter microstructure changes in CSVD and has the potential to represent the extent of subcortical microvascular damage in CSVD patients.
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Affiliation(s)
- Yukun Zhang
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Peipei Chang
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Na Liu
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Yuhan Jiang
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Ying Chu
- Department of Neurology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Wei Du
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | | | - Bingbing Gao
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Yuan Li
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Mingrui Qu
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Chao Yang
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - YanWei Miao
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
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Scarsoglio S, Saglietto A, Tripoli F, Zwanenburg JJM, Biessels GJ, De Ferrari GM, Anselmino M, Ridolfi L. Cerebral hemodynamics during atrial fibrillation: Computational fluid dynamics analysis of lenticulostriate arteries using 7 T high-resolution magnetic resonance imaging. PHYSICS OF FLUIDS (WOODBURY, N.Y. : 1994) 2022; 34:121909. [PMID: 36776539 PMCID: PMC9907777 DOI: 10.1063/5.0129899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 11/26/2022] [Indexed: 06/18/2023]
Abstract
Atrial fibrillation (AF) is the most common cardiac arrhythmia, inducing irregular and faster heart beating. Aside from disabling symptoms-such as palpitations, chest discomfort, and reduced exercise capacity-there is growing evidence that AF increases the risk of dementia and cognitive decline, even in the absence of clinical strokes. Among the possible mechanisms, the alteration of deep cerebral hemodynamics during AF is one of the most fascinating and least investigated hypotheses. Lenticulostriate arteries (LSAs)-small perforating arteries perpendicularly departing from the anterior and middle cerebral arteries and supplying blood flow to basal ganglia-are especially involved in silent strokes and cerebral small vessel diseases, which are considered among the main vascular drivers of dementia. We propose for the first time a computational fluid dynamics analysis to investigate the AF effects on the LSAs hemodynamics by using 7 T high-resolution magnetic resonance imaging (MRI). We explored different heart rates (HRs)-from 50 to 130 bpm-in sinus rhythm and AF, exploiting MRI data from a healthy young male and internal carotid artery data from validated 0D cardiovascular-cerebral modeling as inflow condition. Our results reveal that AF induces a marked reduction of wall shear stress and flow velocity fields. This study suggests that AF at higher HR leads to a more hazardous hemodynamic scenario by increasing the atheromatosis and thrombogenesis risks in the LSAs region.
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Affiliation(s)
- S. Scarsoglio
- Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Torino, Italy
| | - A. Saglietto
- Division of Cardiology, “Città della Salute e della Scienza di Torino” Hospital, Università di Torino, Torino, Italy
| | - F. Tripoli
- Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Torino, Italy
| | - J. J. M. Zwanenburg
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - G. J. Biessels
- Department of Neurology UMC Brain Center, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - G. M. De Ferrari
- Division of Cardiology, “Città della Salute e della Scienza di Torino” Hospital, Università di Torino, Torino, Italy
| | - M. Anselmino
- Division of Cardiology, “Città della Salute e della Scienza di Torino” Hospital, Università di Torino, Torino, Italy
| | - L. Ridolfi
- Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino, Italy
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Wei N, Jing J, Zhuo Y, Zhang Z. Morphological characteristics of lenticulostriate arteries in a large age-span population: Results from 7T TOF-MRA. Front Neurol 2022; 13:944863. [PMID: 35937056 PMCID: PMC9355592 DOI: 10.3389/fneur.2022.944863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 06/30/2022] [Indexed: 11/25/2022] Open
Abstract
Lenticulostriate arteries (LSAs) originate from the middle cerebral artery (MCA) and supply blood to the basal ganglia. The evaluation of its structure and function is essential for the etiological diagnosis of subcortical infarction. However, the characteristics of LSA in a healthy population remain poorly described. Our study aims to acquire morphological measurements of LSA by 7T TOF-MRA on 140 healthy volunteers with a large age range (21–68 years). The results show that the number of branches of LSA gradually decreases with age (r = −0.328, p < 0.001), and the maximum visible length becomes shorter (r = −0.385, p < 0.001). Moreover, there is a significant correlation between the volume of the basal ganglia nuclei and the morphology of LSA. The volume of the putamen is associated with the number of stems (r = 0.267, p < 0.001) and branches (r = 0.236, p < 0.001) of LSAs, while the volume of caudate is closely related to the maximum visible length of LSAs (r = 0.199, p = 0.001). In conclusion, this study is the first in-vivo study to report the morphology of LSA with a large sample size of more than one hundred cases. These findings are valuable in understanding the degeneration of LSAs during aging.
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Affiliation(s)
- Ning Wei
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Tiantan Neuroimaging Center of Excellence, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jing Jing
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Tiantan Neuroimaging Center of Excellence, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yan Zhuo
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zihao Zhang
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
- University of Chinese Academy of Sciences, Beijing, China
- *Correspondence: Zihao Zhang
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