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The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study

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Standard

The value of hippocampal volume, shape, and texture for 11-year prediction of dementia : a population-based study. / Achterberg, Hakim C.; Sørensen, Lauge; Wolters, Frank J.; Niessen, Wiro J.; Vernooij, Meike W.; Ikram, M. Arfan; Nielsen, Mads; de Bruijne, Marleen.

I: Neurobiology of Aging, Bind 81, 2019, s. 58-66.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Achterberg, HC, Sørensen, L, Wolters, FJ, Niessen, WJ, Vernooij, MW, Ikram, MA, Nielsen, M & de Bruijne, M 2019, 'The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study', Neurobiology of Aging, bind 81, s. 58-66. https://doi.org/10.1016/j.neurobiolaging.2019.05.007

APA

Achterberg, H. C., Sørensen, L., Wolters, F. J., Niessen, W. J., Vernooij, M. W., Ikram, M. A., ... de Bruijne, M. (2019). The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study. Neurobiology of Aging, 81, 58-66. https://doi.org/10.1016/j.neurobiolaging.2019.05.007

Vancouver

Achterberg HC, Sørensen L, Wolters FJ, Niessen WJ, Vernooij MW, Ikram MA o.a. The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study. Neurobiology of Aging. 2019;81:58-66. https://doi.org/10.1016/j.neurobiolaging.2019.05.007

Author

Achterberg, Hakim C. ; Sørensen, Lauge ; Wolters, Frank J. ; Niessen, Wiro J. ; Vernooij, Meike W. ; Ikram, M. Arfan ; Nielsen, Mads ; de Bruijne, Marleen. / The value of hippocampal volume, shape, and texture for 11-year prediction of dementia : a population-based study. I: Neurobiology of Aging. 2019 ; Bind 81. s. 58-66.

Bibtex

@article{af5b8a2ced2942839c12b5f407740c57,
title = "The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study",
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.",
keywords = "Dementia, Hippocampal shape, Hippocampal texture, MRI, Population-based, Prediction",
author = "Achterberg, {Hakim C.} and Lauge S{\o}rensen and Wolters, {Frank J.} and Niessen, {Wiro J.} and Vernooij, {Meike W.} and Ikram, {M. Arfan} and Mads Nielsen and {de Bruijne}, Marleen",
year = "2019",
doi = "10.1016/j.neurobiolaging.2019.05.007",
language = "English",
volume = "81",
pages = "58--66",
journal = "Neurobiology of Aging",
issn = "0197-4580",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - The value of hippocampal volume, shape, and texture for 11-year prediction of dementia

T2 - a population-based study

AU - Achterberg, Hakim C.

AU - Sørensen, Lauge

AU - Wolters, Frank J.

AU - Niessen, Wiro J.

AU - Vernooij, Meike W.

AU - Ikram, M. Arfan

AU - Nielsen, Mads

AU - de Bruijne, Marleen

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Dementia

KW - Hippocampal shape

KW - Hippocampal texture

KW - MRI

KW - Population-based

KW - Prediction

UR - http://www.scopus.com/inward/record.url?scp=85067598499&partnerID=8YFLogxK

U2 - 10.1016/j.neurobiolaging.2019.05.007

DO - 10.1016/j.neurobiolaging.2019.05.007

M3 - Journal article

C2 - 31247459

AN - SCOPUS:85067598499

VL - 81

SP - 58

EP - 66

JO - Neurobiology of Aging

JF - Neurobiology of Aging

SN - 0197-4580

ER -

ID: 223454795