Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population

Lucia Ballerini; Ahmed E. Fetit; Stephan Wunderlich; Ruggiero Lovreglio; Sarah McGrory; Maria Valdes-Hernandez; Tom MacGillivray; Fergus N. Doubal; Ian J. Deary; Joanna Wardlaw; Emanuele Trucco

doi:10.1007/978-3-030-52791-4_31

Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population

Lucia Ballerini (Lead / Corresponding author), Ahmed E. Fetit, Stephan Wunderlich, Ruggiero Lovreglio, Sarah McGrory, Maria Valdes-Hernandez, Tom MacGillivray, Fergus N. Doubal, Ian J. Deary, Joanna Wardlaw, Emanuele Trucco

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

135 Downloads (Pure)

Abstract

The retinal and cerebral microvasculatures share many morphological and physiological properties. In this pilot we study the strength of the associations between morphological measurements of the retinal vasculature, obtained from fundus camera images, and of features of Small Vessel Disease (SVD), as white matter hyperintensities (WMH) and perivascular spaces (PVS), obtained from MRI brain scans. We performed a 500-trial bootstrap analysis with Regularized Gaussian linear regression on a cohort of older community-dwelling subjects (Lothian Birth Cohort 1936, N = 866) in their eighth decade. Arteriolar bifurcation coefficients, vessel tortuosity and fractal dimension predicted WMH volume in 23% of the trials. Arteriolar widths, venular bifurcation coefficients, and venular tortuosity predicted PVS in up to 99.6% of the trials.

Original language	English
Title of host publication	Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Proceedings
Subtitle of host publication	Medical Image Understanding and Analysis
Editors	Bartlomiej W. Papiez, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble
Place of Publication	Switzerland
Publisher	Springer
Pages	400-409
Number of pages	10
ISBN (Electronic)	9783030527914
ISBN (Print)	9783030527907
DOIs	https://doi.org/10.1007/978-3-030-52791-4_31
Publication status	Published - 2020
Event	Annual Conference on Medical Image Understanding and Analysis - Oxford, United Kingdom Duration: 15 Jul 2020 → 17 Jul 2020 Conference number: 24 https://link.springer.com/book/10.1007/978-3-030-52791-4

Publication series

Name	Communications in Computer and Information Science
Volume	1248
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	Annual Conference on Medical Image Understanding and Analysis
Abbreviated title	MIUA 2020
Country/Territory	United Kingdom
City	Oxford
Period	15/07/20 → 17/07/20
Internet address	https://link.springer.com/book/10.1007/978-3-030-52791-4

Keywords

Biomarkers
Retina
Small vessel disease

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-030-52791-4_31

Author Accepted ManuscriptAccepted author manuscript, 1.86 MB

Cite this

Ballerini, L., Fetit, A. E., Wunderlich, S., Lovreglio, R., McGrory, S., Valdes-Hernandez, M., MacGillivray, T., Doubal, F. N., Deary, I. J., Wardlaw, J., & Trucco, E. (2020). Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. In B. W. Papiez, A. I. L. Namburete, M. Yaqub, & J. A. Noble (Eds.), Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Proceedings: Medical Image Understanding and Analysis (pp. 400-409). (Communications in Computer and Information Science; Vol. 1248). Springer . https://doi.org/10.1007/978-3-030-52791-4_31

Ballerini, Lucia ; Fetit, Ahmed E. ; Wunderlich, Stephan et al. / Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Proceedings: Medical Image Understanding and Analysis . editor / Bartlomiej W. Papiez ; Ana I. L. Namburete ; Mohammad Yaqub ; J. Alison Noble. Switzerland : Springer , 2020. pp. 400-409 (Communications in Computer and Information Science).

@inproceedings{3b462b9c4a03456e8f9c9262a78f96f1,

title = "Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population",

abstract = "The retinal and cerebral microvasculatures share many morphological and physiological properties. In this pilot we study the strength of the associations between morphological measurements of the retinal vasculature, obtained from fundus camera images, and of features of Small Vessel Disease (SVD), as white matter hyperintensities (WMH) and perivascular spaces (PVS), obtained from MRI brain scans. We performed a 500-trial bootstrap analysis with Regularized Gaussian linear regression on a cohort of older community-dwelling subjects (Lothian Birth Cohort 1936, N = 866) in their eighth decade. Arteriolar bifurcation coefficients, vessel tortuosity and fractal dimension predicted WMH volume in 23% of the trials. Arteriolar widths, venular bifurcation coefficients, and venular tortuosity predicted PVS in up to 99.6% of the trials.",

keywords = "Biomarkers, Retina, Small vessel disease",

author = "Lucia Ballerini and Fetit, {Ahmed E.} and Stephan Wunderlich and Ruggiero Lovreglio and Sarah McGrory and Maria Valdes-Hernandez and Tom MacGillivray and Doubal, {Fergus N.} and Deary, {Ian J.} and Joanna Wardlaw and Emanuele Trucco",

year = "2020",

doi = "10.1007/978-3-030-52791-4_31",

language = "English",

isbn = "9783030527907",

series = "Communications in Computer and Information Science",

publisher = "Springer ",

pages = "400--409",

editor = "Papiez, {Bartlomiej W.} and Namburete, {Ana I. L.} and Mohammad Yaqub and Noble, {J. Alison}",

booktitle = "Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Proceedings",

note = "Annual Conference on Medical Image Understanding and Analysis, MIUA 2020 ; Conference date: 15-07-2020 Through 17-07-2020",

url = "https://link.springer.com/book/10.1007/978-3-030-52791-4",

}

Ballerini, L, Fetit, AE, Wunderlich, S, Lovreglio, R, McGrory, S, Valdes-Hernandez, M, MacGillivray, T, Doubal, FN, Deary, IJ, Wardlaw, J & Trucco, E 2020, Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. in BW Papiez, AIL Namburete, M Yaqub & JA Noble (eds), Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Proceedings: Medical Image Understanding and Analysis . Communications in Computer and Information Science, vol. 1248, Springer , Switzerland, pp. 400-409, Annual Conference on Medical Image Understanding and Analysis, Oxford, United Kingdom, 15/07/20. https://doi.org/10.1007/978-3-030-52791-4_31

Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. / Ballerini, Lucia (Lead / Corresponding author); Fetit, Ahmed E.; Wunderlich, Stephan et al.
Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Proceedings: Medical Image Understanding and Analysis . ed. / Bartlomiej W. Papiez; Ana I. L. Namburete; Mohammad Yaqub; J. Alison Noble. Switzerland: Springer , 2020. p. 400-409 (Communications in Computer and Information Science; Vol. 1248).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population

AU - Ballerini, Lucia

AU - Fetit, Ahmed E.

AU - Wunderlich, Stephan

AU - Lovreglio, Ruggiero

AU - McGrory, Sarah

AU - Valdes-Hernandez, Maria

AU - MacGillivray, Tom

AU - Doubal, Fergus N.

AU - Deary, Ian J.

AU - Wardlaw, Joanna

AU - Trucco, Emanuele

N1 - Conference code: 24

PY - 2020

Y1 - 2020

N2 - The retinal and cerebral microvasculatures share many morphological and physiological properties. In this pilot we study the strength of the associations between morphological measurements of the retinal vasculature, obtained from fundus camera images, and of features of Small Vessel Disease (SVD), as white matter hyperintensities (WMH) and perivascular spaces (PVS), obtained from MRI brain scans. We performed a 500-trial bootstrap analysis with Regularized Gaussian linear regression on a cohort of older community-dwelling subjects (Lothian Birth Cohort 1936, N = 866) in their eighth decade. Arteriolar bifurcation coefficients, vessel tortuosity and fractal dimension predicted WMH volume in 23% of the trials. Arteriolar widths, venular bifurcation coefficients, and venular tortuosity predicted PVS in up to 99.6% of the trials.

AB - The retinal and cerebral microvasculatures share many morphological and physiological properties. In this pilot we study the strength of the associations between morphological measurements of the retinal vasculature, obtained from fundus camera images, and of features of Small Vessel Disease (SVD), as white matter hyperintensities (WMH) and perivascular spaces (PVS), obtained from MRI brain scans. We performed a 500-trial bootstrap analysis with Regularized Gaussian linear regression on a cohort of older community-dwelling subjects (Lothian Birth Cohort 1936, N = 866) in their eighth decade. Arteriolar bifurcation coefficients, vessel tortuosity and fractal dimension predicted WMH volume in 23% of the trials. Arteriolar widths, venular bifurcation coefficients, and venular tortuosity predicted PVS in up to 99.6% of the trials.

KW - Biomarkers

KW - Retina

KW - Small vessel disease

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U2 - 10.1007/978-3-030-52791-4_31

DO - 10.1007/978-3-030-52791-4_31

M3 - Conference contribution

SN - 9783030527907

T3 - Communications in Computer and Information Science

SP - 400

EP - 409

BT - Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Proceedings

A2 - Papiez, Bartlomiej W.

A2 - Namburete, Ana I. L.

A2 - Yaqub, Mohammad

A2 - Noble, J. Alison

PB - Springer

CY - Switzerland

T2 - Annual Conference on Medical Image Understanding and Analysis

Y2 - 15 July 2020 through 17 July 2020

ER -

Ballerini L, Fetit AE, Wunderlich S, Lovreglio R, McGrory S, Valdes-Hernandez M et al. Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. In Papiez BW, Namburete AIL, Yaqub M, Noble JA, editors, Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Proceedings: Medical Image Understanding and Analysis . Switzerland: Springer . 2020. p. 400-409. (Communications in Computer and Information Science). Epub 2020 Jul 8. doi: 10.1007/978-3-030-52791-4_31

Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Multi-modal Retinal Biomarkers for Vascular Dementia; Developing and Enabling Image Analysis Tools (Joint with University of Edinburgh)

Cite this

Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Projects

Multi-modal Retinal Biomarkers for Vascular Dementia; Developing and Enabling Image Analysis Tools (Joint with University of Edinburgh)

Cite this