Early detection of Alzheimer's disease using MRI hippocampal texture

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Standard

Early detection of Alzheimer's disease using MRI hippocampal texture. / Sørensen, Lauge; Igel, Christian; Hansen, Naja Liv; Osler, Merete; Lauritzen, Martin; Rostrup, Egill; Nielsen, Mads.

I: Human Brain Mapping, Bind 37, Nr. 3, 2016, s. 1148-1161.

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Harvard

Sørensen, L, Igel, C, Hansen, NL, Osler, M, Lauritzen, M, Rostrup, E & Nielsen, M 2016, 'Early detection of Alzheimer's disease using MRI hippocampal texture', Human Brain Mapping, bind 37, nr. 3, s. 1148-1161. https://doi.org/10.1002/hbm.23091

APA

Sørensen, L., Igel, C., Hansen, N. L., Osler, M., Lauritzen, M., Rostrup, E., & Nielsen, M. (2016). Early detection of Alzheimer's disease using MRI hippocampal texture. Human Brain Mapping, 37(3), 1148-1161. https://doi.org/10.1002/hbm.23091

Vancouver

Sørensen L, Igel C, Hansen NL, Osler M, Lauritzen M, Rostrup E o.a. Early detection of Alzheimer's disease using MRI hippocampal texture. Human Brain Mapping. 2016;37(3):1148-1161. https://doi.org/10.1002/hbm.23091

Author

Sørensen, Lauge ; Igel, Christian ; Hansen, Naja Liv ; Osler, Merete ; Lauritzen, Martin ; Rostrup, Egill ; Nielsen, Mads. / Early detection of Alzheimer's disease using MRI hippocampal texture. I: Human Brain Mapping. 2016 ; Bind 37, Nr. 3. s. 1148-1161.

Bibtex

@article{afe41495ebda444b964113915ffe1f27,
title = "Early detection of Alzheimer's disease using MRI hippocampal texture",
abstract = "Cognitive impairment in patients with Alzheimer's disease (AD) is associated with reduction in hippocampal volume in magnetic resonance imaging (MRI). However, it is unknown whether hippocampal texture changes in persons with mild cognitive impairment (MCI) that does not have a change in hippocampal volume. We tested the hypothesis that hippocampal texture has association to early cognitive loss beyond that of volumetric changes. The texture marker was trained and evaluated using T1-weighted MRI scans from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, and subsequently applied to score independent data sets from the Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL) and the Metropolit 1953 Danish Male Birth Cohort (Metropolit). Hippocampal texture was superior to volume reduction as predictor of MCI-to-AD conversion in ADNI (area under the receiver operating characteristic curve [AUC] 0.74 vs 0.67; DeLong test, p = 0.005), and provided even better prognostic results in AIBL (AUC 0.83). Hippocampal texture, but not volume, correlated with Addenbrooke's cognitive examination score (Pearson correlation, r = −0.25, p ",
keywords = "biomarker, classification, early diagnosis, hippocampus, image analysis, machine learning, magnetic resonance imaging, mild cognitive impairment",
author = "Lauge S{\o}rensen and Christian Igel and Hansen, {Naja Liv} and Merete Osler and Martin Lauritzen and Egill Rostrup and Mads Nielsen",
year = "2016",
doi = "10.1002/hbm.23091",
language = "English",
volume = "37",
pages = "1148--1161",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "JohnWiley & Sons, Inc.",
number = "3",

}

RIS

TY - JOUR

T1 - Early detection of Alzheimer's disease using MRI hippocampal texture

AU - Sørensen, Lauge

AU - Igel, Christian

AU - Hansen, Naja Liv

AU - Osler, Merete

AU - Lauritzen, Martin

AU - Rostrup, Egill

AU - Nielsen, Mads

PY - 2016

Y1 - 2016

N2 - Cognitive impairment in patients with Alzheimer's disease (AD) is associated with reduction in hippocampal volume in magnetic resonance imaging (MRI). However, it is unknown whether hippocampal texture changes in persons with mild cognitive impairment (MCI) that does not have a change in hippocampal volume. We tested the hypothesis that hippocampal texture has association to early cognitive loss beyond that of volumetric changes. The texture marker was trained and evaluated using T1-weighted MRI scans from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, and subsequently applied to score independent data sets from the Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL) and the Metropolit 1953 Danish Male Birth Cohort (Metropolit). Hippocampal texture was superior to volume reduction as predictor of MCI-to-AD conversion in ADNI (area under the receiver operating characteristic curve [AUC] 0.74 vs 0.67; DeLong test, p = 0.005), and provided even better prognostic results in AIBL (AUC 0.83). Hippocampal texture, but not volume, correlated with Addenbrooke's cognitive examination score (Pearson correlation, r = −0.25, p 

AB - Cognitive impairment in patients with Alzheimer's disease (AD) is associated with reduction in hippocampal volume in magnetic resonance imaging (MRI). However, it is unknown whether hippocampal texture changes in persons with mild cognitive impairment (MCI) that does not have a change in hippocampal volume. We tested the hypothesis that hippocampal texture has association to early cognitive loss beyond that of volumetric changes. The texture marker was trained and evaluated using T1-weighted MRI scans from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, and subsequently applied to score independent data sets from the Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL) and the Metropolit 1953 Danish Male Birth Cohort (Metropolit). Hippocampal texture was superior to volume reduction as predictor of MCI-to-AD conversion in ADNI (area under the receiver operating characteristic curve [AUC] 0.74 vs 0.67; DeLong test, p = 0.005), and provided even better prognostic results in AIBL (AUC 0.83). Hippocampal texture, but not volume, correlated with Addenbrooke's cognitive examination score (Pearson correlation, r = −0.25, p 

KW - biomarker, classification, early diagnosis, hippocampus, image analysis, machine learning, magnetic resonance imaging, mild cognitive impairment

U2 - 10.1002/hbm.23091

DO - 10.1002/hbm.23091

M3 - Journal article

C2 - 26686837

VL - 37

SP - 1148

EP - 1161

JO - Human Brain Mapping

JF - Human Brain Mapping

SN - 1065-9471

IS - 3

ER -

ID: 152926457