Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population

Ahmed Fetit, Siyamalan Manivannan, Sarah McGrory, Lucia Ballerini, Alexander Doney, Thomas J. MacGillivray, Ian J. Deary, Joanna M. Wardlaw, Fergus Doubal, Gareth J. McKay, Stephen McKenna, Emanuele Trucco

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Abstract

Dementia is a devastating disease, and has severe implications on affected individuals, their family and wider society. A growing body of literature is studying the association of retinal microvasculature measurement with dementia. We present a pilot study testing the strength of groups of conventional (semantic) and texture-based (non-semantic) measurements extracted from retinal fundus camera images to classify patients with and without dementia. We performed a 500-trial bootstrap analysis with regularized logistic regression on a cohort of 1,742 elderly diabetic individuals (median age 72.2). Age was the strongest predictor for this elderly cohort. Semantic retinal measurements featured in up to 81% of the bootstrap trials, with arterial caliber and optic disk size chosen most often, suggesting that they do complement age when selected together in a classifier. Textural features were able to train classifiers that match the performance of age, suggesting they are potentially a rich source of information for dementia outcome classification
Original languageEnglish
Title of host publicationFetal, Infant and Ophthalmic Medical Image Analysis
Subtitle of host publicationInternational Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, held in conjunction with MICCAI2017, Quebec City, QC, Canada, September 14, Proceedings
EditorsJ. Cardoso, T. Arbel, A. Melbourne, H. Bogunovic, P. Moeskops, X. Chen, E. Schwartz, M. Garvin, E. Robinson, E. Trucco, M. Ebner, Y. Xu, A. Makropoulos, A. Desjardin, T. Vercauteren
Place of PublicationSwitzerland
PublisherSpringer
Pages150-158
Number of pages9
ISBN (Electronic)9783319675619
ISBN (Print)9783319675602
DOIs
Publication statusPublished - 14 Sep 2017
Event4th MICCAI Workshop on Ophthalmic Medical Image Analysis - Quebec, Canada
Duration: 10 Sep 201714 Sep 2017
https://sites.google.com/site/mwomia4/

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
Volume10554
ISSN (Print)0302-9743

Conference

Conference4th MICCAI Workshop on Ophthalmic Medical Image Analysis
CountryCanada
CityQuebec
Period10/09/1714/09/17
Internet address

Keywords

  • Retina
  • Dementia
  • Microvasculature
  • Classification
  • Biomarkers

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    Fetit, A., Manivannan, S., McGrory, S., Ballerini, L., Doney, A., MacGillivray, T. J., Deary, I. J., Wardlaw, J. M., Doubal, F., McKay, G. J., McKenna, S., & Trucco, E. (2017). Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population. In J. Cardoso, T. Arbel, A. Melbourne, H. Bogunovic, P. Moeskops, X. Chen, E. Schwartz, M. Garvin, E. Robinson, E. Trucco, M. Ebner, Y. Xu, A. Makropoulos, A. Desjardin, & T. Vercauteren (Eds.), Fetal, Infant and Ophthalmic Medical Image Analysis: International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, held in conjunction with MICCAI2017, Quebec City, QC, Canada, September 14, Proceedings (pp. 150-158). (Lecture Notes in Computer Science; Vol. 10554). Springer . https://doi.org/10.1007/978-3-319-67561-9