The value of hippocampal volume, shape, and texture for 11-year prediction of dementia

a population-based study

Journal Article (2019)
Author(s)

Hakim C. Achterberg (Erasmus MC)

Lauge Sørensen (University of Copenhagen)

Frank J. Wolters (Erasmus MC)

Wiro J. Niessen (Erasmus MC, TU Delft - ImPhys/Quantitative Imaging)

M. W. Vernooij (Erasmus MC)

Mohammad Arfan Ikram (Erasmus MC)

Mads Nielsen (University of Copenhagen, Biomediq A/S, Copenhagen)

Marleen de Bruijne (Erasmus MC, University of Copenhagen)

Research Group
ImPhys/Quantitative Imaging
Copyright
© 2019 Hakim C. Achterberg, Lauge Sørensen, Frank J. Wolters, W.J. Niessen, Meike W. Vernooij, M. Arfan Ikram, Mads Nielsen, Marleen de Bruijne
DOI related publication
https://doi.org/10.1016/j.neurobiolaging.2019.05.007
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Hakim C. Achterberg, Lauge Sørensen, Frank J. Wolters, W.J. Niessen, Meike W. Vernooij, M. Arfan Ikram, Mads Nielsen, Marleen de Bruijne
Research Group
ImPhys/Quantitative Imaging
Volume number
81
Pages (from-to)
58-66
Reuse Rights

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Abstract

Hippocampal volume and shape are known magnetic resonance imaging biomarkers of neurodegeneration. Recently, hippocampal texture has been shown to improve prediction of dementia in patients with mild cognitive impairment, but it is unknown whether texture adds prognostic information beyond volume and shape and whether the predictive value extends to cognitively healthy individuals. Using 510 subjects from the Rotterdam Study, a prospective, population-based cohort study, we investigated if hippocampal volume, shape, texture, and their combination were predictive of dementia and determined how predictive performance varied with time to diagnosis and presence of early clinical symptoms of dementia. All features showed significant predictive performance with the area under the receiver operating characteristic curve ranging from 0.700 for texture alone to 0.788 for the combination of volume and texture. Although predictive performance extended to those without objective cognitive complaints or mild cognitive impairment, performance decreased with increasing follow-up time. We conclude that a combination of multiple hippocampal features on magnetic resonance imaging performs better in predicting dementia in the general population than any feature by itself.