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Characteristics of perivascular space dilatation in normal aging

Authors
 Chang-Hyun Park  ;  Na-Young Shin  ;  Yoonho Nam  ;  Uicheul Yoon  ;  Kookjin Ahn  ;  Seung-Koo Lee 
Citation
 HUMAN BRAIN MAPPING, Vol.44(8) : 3232-3240, 2023-06 
Journal Title
HUMAN BRAIN MAPPING
ISSN
 1065-9471 
Issue Date
2023-06
MeSH
Adolescent ; Adult ; Aged ; Aged, 81 and over ; Aging ; Basal Ganglia ; Dilatation ; Glymphatic System* ; Humans ; Magnetic Resonance Imaging / methods ; Middle Aged ; White Matter* / diagnostic imaging ; Young Adult
Keywords
age estimation ; machine learning ; normal aging ; perivascular space
Abstract
The increased incidence of dilated perivascular spaces (dPVSs) visible on MRI has been observed with advancing age, but the relevance of PVS dilatation to normal aging across the lifespan has yet to be fully clarified. In the current study, we sought to find out the age dependence of dPVSs by exploring changes in different characteristics of PVS dilatation across a wide range of age. For 1220 healthy subjects aged between 18 and 100 years, PVSs were automatically segmented and characteristics of PVS dilatation were assessed in terms of the burden, location, and morphology of PVSs in the white matter (WM) and basal ganglia (BG). A machine learning model using the random forests method was constructed to estimate the subjects' age by employing the PVS features. The constructed machine learning model was able to estimate the age of the subjects with an error of 9.53 years on average (correlation = 0.875). The importance of the PVS features indicated the primary contribution of the burden of PVSs in the BG and the additional contribution of locational and morphological changes of PVSs, specifically peripheral extension and reduced linearity, in the WM to age estimation. Indeed, adding the PVS location or morphology features to the PVS burden features provided an improvement to the performance of age estimation. The age dependence of dPVSs in terms of such various characteristics of PVS dilatation in healthy subjects could provide a more comprehensive reference for detecting brain disease-related PVS dilatation.
Files in This Item:
T202400687.pdf Download
DOI
10.1002/hbm.26277
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Shin, Na Young(신나영)
Lee, Seung Koo(이승구) ORCID logo https://orcid.org/0000-0001-5646-4072
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/197966
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