Volume 54, Issue 4 pp. 1326-1336
Original Research

Quantity and Morphology of Perivascular Spaces: Associations With Vascular Risk Factors and Cerebral Small Vessel Disease

Shuyue Wang PhD

Shuyue Wang PhD

Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China

Search for more papers by this author
Peiyu Huang PhD

Corresponding Author

Peiyu Huang PhD

Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China

Address reprint requests to: M.Z., No. 88 Jiefang Road, Hangzhou, China. E-mail: [email protected], or P. H., No. 88 Jiefang Road, Hangzhou, China. E-mail: [email protected].

Search for more papers by this author
Ruiting Zhang PhD

Ruiting Zhang PhD

Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China

Search for more papers by this author
Hui Hong MD

Hui Hong MD

Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China

Search for more papers by this author
Yeerfan Jiaerken PhD

Yeerfan Jiaerken PhD

Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China

Search for more papers by this author
Chunfeng Lian PhD

Chunfeng Lian PhD

Xi'an Jiaotong University, Xi'an, Xi'an, China

Search for more papers by this author
Xinfeng Yu PhD

Xinfeng Yu PhD

Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China

Search for more papers by this author
Xiao Luo PhD

Xiao Luo PhD

Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China

Search for more papers by this author
Kaicheng Li PhD

Kaicheng Li PhD

Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China

Search for more papers by this author
Qingze Zeng PhD

Qingze Zeng PhD

Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China

Search for more papers by this author
Xiaopei Xu PhD

Xiaopei Xu PhD

Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China

Search for more papers by this author
Wenke Yu MD

Wenke Yu MD

Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China

Search for more papers by this author
Xiao Wu MD

Xiao Wu MD

Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China

Search for more papers by this author
Minming Zhang MD, PhD

Corresponding Author

Minming Zhang MD, PhD

Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China

Address reprint requests to: M.Z., No. 88 Jiefang Road, Hangzhou, China. E-mail: [email protected], or P. H., No. 88 Jiefang Road, Hangzhou, China. E-mail: [email protected].

Search for more papers by this author
First published: 17 May 2021
Citations: 11

Abstract

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

Conflict of Interest

The author(s) declared no conflict of interest.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.