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Characteristics of perivascular space dilatation in normal aging

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 explor...

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Autores principales: Park, Chang‐hyun, Shin, Na‐Young, Nam, Yoonho, Yoon, Uicheul, Ahn, Kookjin, Lee, Seung‐Koo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171536/
https://www.ncbi.nlm.nih.gov/pubmed/36930038
http://dx.doi.org/10.1002/hbm.26277
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author Park, Chang‐hyun
Shin, Na‐Young
Nam, Yoonho
Yoon, Uicheul
Ahn, Kookjin
Lee, Seung‐Koo
author_facet Park, Chang‐hyun
Shin, Na‐Young
Nam, Yoonho
Yoon, Uicheul
Ahn, Kookjin
Lee, Seung‐Koo
author_sort Park, Chang‐hyun
collection PubMed
description 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.
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spelling pubmed-101715362023-05-11 Characteristics of perivascular space dilatation in normal aging Park, Chang‐hyun Shin, Na‐Young Nam, Yoonho Yoon, Uicheul Ahn, Kookjin Lee, Seung‐Koo Hum Brain Mapp Research Articles 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. John Wiley & Sons, Inc. 2023-03-17 /pmc/articles/PMC10171536/ /pubmed/36930038 http://dx.doi.org/10.1002/hbm.26277 Text en © 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Park, Chang‐hyun
Shin, Na‐Young
Nam, Yoonho
Yoon, Uicheul
Ahn, Kookjin
Lee, Seung‐Koo
Characteristics of perivascular space dilatation in normal aging
title Characteristics of perivascular space dilatation in normal aging
title_full Characteristics of perivascular space dilatation in normal aging
title_fullStr Characteristics of perivascular space dilatation in normal aging
title_full_unstemmed Characteristics of perivascular space dilatation in normal aging
title_short Characteristics of perivascular space dilatation in normal aging
title_sort characteristics of perivascular space dilatation in normal aging
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171536/
https://www.ncbi.nlm.nih.gov/pubmed/36930038
http://dx.doi.org/10.1002/hbm.26277
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