TY - JOUR
T1 - Quantity and Morphology of Perivascular Spaces
T2 - Associations With Vascular Risk Factors and Cerebral Small Vessel Disease
AU - Wang, Shuyue
AU - Huang, Peiyu
AU - Zhang, Ruiting
AU - Hong, Hui
AU - Jiaerken, Yeerfan
AU - Lian, Chunfeng
AU - Yu, Xinfeng
AU - Luo, Xiao
AU - Li, Kaicheng
AU - Zeng, Qingze
AU - Xu, Xiaopei
AU - Yu, Wenke
AU - Wu, Xiao
AU - Zhang, Minming
N1 - Publisher Copyright:
© 2021 International Society for Magnetic Resonance in Medicine
PY - 2021/10
Y1 - 2021/10
N2 - Background: Perivascular spaces (PVSs) are important component of the brain glymphatic system. While visual rating has been widely used to assess PVS, computational measures may have higher sensitivity for capturing PVS characteristics under disease conditions. Purpose: To compute quantitative and morphological PVS features and to assess their associations with vascular risk factors and cerebral small vessel disease (CSVD). Study Type: Prospective. Population: One hundred sixty-one middle-aged/later middle-aged subjects (age = 60.4 ± 7.3). Sequence: 3D T1-weighted, T2-weighted and T2-FLAIR sequences, and susceptibility-weighted multiecho gradient-echo sequence on a 3 T scanner. Assessment: Automated PVS segmentation was performed on sub-millimeter T2-weighted images. Quantitative and morphological PVS features were calculated in white matter (WM) and basal ganglia (BG) regions, including volume, count, size, length (Lmaj), width (Lmin), and linearity. Visual PVS scores were also acquired for comparison. Statistical Tests: Simple and multiple linear regression analyses were used to explore the associations among variables. Results: WM-PVS visual score and count were associated with hypertension (β = 0.161, P < 0.05; β = 0.193, P < 0.05), as were BG-PVS rating score, volume, count and Lmin (β = 0.197, P < 0.05; β = 0.170, P < 0.05; β = 0.200, P < 0.05; β = 0.172, P < 0.05). WM-PVS size was associated with diabetes (β = 0.165, P < 0.05). WM-PVS and BG-PVS were associated with CSVD markers, especially white matter hyperintensities (WMHs) (P < 0.05). Multiple regression analysis showed that WM/BG-PVS quantitative measures were widely associated with vascular risk factors and CSVD markers (P < 0.05). Morphological measures were associated with WMH severity in WM region and also associated with lacunes and microbleeds (P < 0.05) in BG region. Data Conclusion: These novel PVS measures may capture mild PVS alterations driven by different pathologies. Evidence Level: 2. Technical Efficacy: Stage 2.
AB - Background: Perivascular spaces (PVSs) are important component of the brain glymphatic system. While visual rating has been widely used to assess PVS, computational measures may have higher sensitivity for capturing PVS characteristics under disease conditions. Purpose: To compute quantitative and morphological PVS features and to assess their associations with vascular risk factors and cerebral small vessel disease (CSVD). Study Type: Prospective. Population: One hundred sixty-one middle-aged/later middle-aged subjects (age = 60.4 ± 7.3). Sequence: 3D T1-weighted, T2-weighted and T2-FLAIR sequences, and susceptibility-weighted multiecho gradient-echo sequence on a 3 T scanner. Assessment: Automated PVS segmentation was performed on sub-millimeter T2-weighted images. Quantitative and morphological PVS features were calculated in white matter (WM) and basal ganglia (BG) regions, including volume, count, size, length (Lmaj), width (Lmin), and linearity. Visual PVS scores were also acquired for comparison. Statistical Tests: Simple and multiple linear regression analyses were used to explore the associations among variables. Results: WM-PVS visual score and count were associated with hypertension (β = 0.161, P < 0.05; β = 0.193, P < 0.05), as were BG-PVS rating score, volume, count and Lmin (β = 0.197, P < 0.05; β = 0.170, P < 0.05; β = 0.200, P < 0.05; β = 0.172, P < 0.05). WM-PVS size was associated with diabetes (β = 0.165, P < 0.05). WM-PVS and BG-PVS were associated with CSVD markers, especially white matter hyperintensities (WMHs) (P < 0.05). Multiple regression analysis showed that WM/BG-PVS quantitative measures were widely associated with vascular risk factors and CSVD markers (P < 0.05). Morphological measures were associated with WMH severity in WM region and also associated with lacunes and microbleeds (P < 0.05) in BG region. Data Conclusion: These novel PVS measures may capture mild PVS alterations driven by different pathologies. Evidence Level: 2. Technical Efficacy: Stage 2.
KW - aging
KW - cerebral small vessel disease
KW - isotropic magnetic resonance imaging
KW - morphology
KW - perivascular spaces segmentation
KW - vascular risk factors
UR - https://www.scopus.com/pages/publications/85105782898
U2 - 10.1002/jmri.27702
DO - 10.1002/jmri.27702
M3 - 文章
C2 - 33998738
AN - SCOPUS:85105782898
SN - 1053-1807
VL - 54
SP - 1326
EP - 1336
JO - Journal of Magnetic Resonance Imaging
JF - Journal of Magnetic Resonance Imaging
IS - 4
ER -
