Early detection of Alzheimer's disease using MRI hippocampal texture

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 hippoc...

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Vydáno v:	Human brain mapping Ročník 37; číslo 3; s. 1148 - 1161
Hlavní autoři:	Sørensen, Lauge, Igel, Christian, Liv Hansen, Naja, Osler, Merete, Lauritzen, Martin, Rostrup, Egill, Nielsen, Mads
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Blackwell Publishing Ltd 01.03.2016 John Wiley & Sons, Inc John Wiley and Sons Inc
Témata:	Aged Alzheimer Disease - diagnosis Alzheimer Disease - diagnostic imaging Alzheimer Disease - metabolism Alzheimer Disease - pathology Area Under Curve biomarker classification Cognition Cohort Studies Databases, Factual Early Diagnosis Female Glucose - metabolism hippocampus Hippocampus - diagnostic imaging Hippocampus - metabolism Hippocampus - pathology Humans image analysis Image Interpretation, Computer-Assisted - methods machine learning magnetic resonance imaging Magnetic Resonance Imaging - methods Male Middle Aged mild cognitive impairment Organ Size Positron-Emission Tomography Prognosis early diagnosis magnetic resonance imaging hippocampus mild cognitive impairment biomarker classification machine learning image analysis
ISSN:	1065-9471, 1097-0193
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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 < 0.001) in the Metropolit cohort. The hippocampal texture marker correlated with hippocampal glucose metabolism as indicated by fluorodeoxyglucose‐positron emission tomography (Pearson correlation, r = −0.57, p < 0.001). Texture statistics remained significant after adjustment for volume in all cases, and the combination of texture and volume did not improve diagnostic or prognostic AUCs significantly. Our study highlights the presence of hippocampal texture abnormalities in MCI, and the possibility that texture may serve as a prognostic neuroimaging biomarker of early cognitive impairment. Hum Brain Mapp 37:1148–1161, 2016. © 2015 Wiley Periodicals, Inc.
AbstractList	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<0.001) in the Metropolit cohort. The hippocampal texture marker correlated with hippocampal glucose metabolism as indicated by fluorodeoxyglucose-positron emission tomography (Pearson correlation, r=-0.57, p<0.001). Texture statistics remained significant after adjustment for volume in all cases, and the combination of texture and volume did not improve diagnostic or prognostic AUCs significantly. Our study highlights the presence of hippocampal texture abnormalities in MCI, and the possibility that texture may serve as a prognostic neuroimaging biomarker of early cognitive impairment. Hum Brain Mapp 37:1148-1161, 2016. copyright 2015 Wiley Periodicals, Inc. 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 < 0.001) in the Metropolit cohort. The hippocampal texture marker correlated with hippocampal glucose metabolism as indicated by fluorodeoxyglucose-positron emission tomography (Pearson correlation, r = -0.57, p < 0.001). Texture statistics remained significant after adjustment for volume in all cases, and the combination of texture and volume did not improve diagnostic or prognostic AUCs significantly. Our study highlights the presence of hippocampal texture abnormalities in MCI, and the possibility that texture may serve as a prognostic neuroimaging biomarker of early cognitive impairment. 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 < 0.001) in the Metropolit cohort. The hippocampal texture marker correlated with hippocampal glucose metabolism as indicated by fluorodeoxyglucose‐positron emission tomography (Pearson correlation, r = −0.57, p < 0.001). Texture statistics remained significant after adjustment for volume in all cases, and the combination of texture and volume did not improve diagnostic or prognostic AUCs significantly. Our study highlights the presence of hippocampal texture abnormalities in MCI, and the possibility that texture may serve as a prognostic neuroimaging biomarker of early cognitive impairment. Hum Brain Mapp 37:1148–1161, 2016. © 2015 Wiley Periodicals, Inc. 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<0.001) in the Metropolit cohort. The hippocampal texture marker correlated with hippocampal glucose metabolism as indicated by fluorodeoxyglucose-positron emission tomography (Pearson correlation, r=-0.57, p<0.001). Texture statistics remained significant after adjustment for volume in all cases, and the combination of texture and volume did not improve diagnostic or prognostic AUCs significantly. Our study highlights the presence of hippocampal texture abnormalities in MCI, and the possibility that texture may serve as a prognostic neuroimaging biomarker of early cognitive impairment. Hum Brain Mapp 37:1148-1161, 2016. © 2015 Wiley Periodicals, Inc.
Author	Lauritzen, Martin Rostrup, Egill Liv Hansen, Naja Osler, Merete Nielsen, Mads Sørensen, Lauge Igel, Christian
AuthorAffiliation	1 The Image Group, Department of Computer Science University of Copenhagen Denmark 7 Department of Clinical Neurophysiology Rigshospitalet Denmark 5 Research Centre for Prevention and Health Rigshospitalet‐Glostrup Denmark 6 Department of Neuroscience and Pharmacology University of Copenhagen Denmark 3 Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine Rigshospitalet Denmark 4 Center for Healthy Aging, University of Copenhagen Denmark 2 Biomediq A/S Denmark
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Author_xml	– sequence: 1 givenname: Lauge surname: Sørensen fullname: Sørensen, Lauge email: lauges@diku.dk organization: The Image Group, Department of Computer Science, University of Copenhagen, Denmark – sequence: 2 givenname: Christian surname: Igel fullname: Igel, Christian organization: The Image Group, Department of Computer Science, University of Copenhagen, Denmark – sequence: 3 givenname: Naja surname: Liv Hansen fullname: Liv Hansen, Naja organization: Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, Denmark – sequence: 4 givenname: Merete surname: Osler fullname: Osler, Merete organization: Center for Healthy Aging, University of Copenhagen, Denmark – sequence: 5 givenname: Martin surname: Lauritzen fullname: Lauritzen, Martin organization: Center for Healthy Aging, University of Copenhagen, Denmark – sequence: 6 givenname: Egill surname: Rostrup fullname: Rostrup, Egill organization: Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, Denmark – sequence: 7 givenname: Mads surname: Nielsen fullname: Nielsen, Mads organization: The Image Group, Department of Computer Science, University of Copenhagen, Denmark
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Notes	istex:E010330D191A8F853CF7E026194B1D189B6BCE71 ArticleID:HBM23091 ark:/67375/WNG-R7DG5XM8-R The Danish National Advanced Technology Foundation, Eurostars, and NORDEA Foundation/Center for Healthy Aging As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf www.loni.usc.edu/ADNI www.aibl.csiro.au The AIBL researchers contributed data but did not participate in analysis or writing of this report. AIBL researchers are listed at . Data used in preparation of this article were obtained from the Alzheimer's disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu) and from the Australian Imaging Biomarkers and Lifestyle flagship study of ageing (AIBL) funded by the Commonwealth Scientific and Industrial Research Organisation (CSIRO) which was made available at the ADNI database ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Data used in preparation of this article were obtained from the Alzheimer's disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu) and from the Australian Imaging Biomarkers and Lifestyle flagship study of ageing (AIBL) funded by the Commonwealth Scientific and Industrial Research Organisation (CSIRO) which was made available at the ADNI database (http://www.loni.usc.edu/ADNI). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf. The AIBL researchers contributed data but did not participate in analysis or writing of this report. AIBL researchers are listed at http://www.aibl.csiro.au.
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Alzheimer's disease publication-title: Eur J Nucl Med Mol Imaging
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Snippet	Cognitive impairment in patients with Alzheimer's disease (AD) is associated with reduction in hippocampal volume in magnetic resonance imaging (MRI). However,...
SourceID	pubmedcentral proquest pubmed wiley istex
SourceType	Open Access Repository Aggregation Database Index Database Publisher
StartPage	1148
SubjectTerms	Aged Alzheimer Disease - diagnosis Alzheimer Disease - diagnostic imaging Alzheimer Disease - metabolism Alzheimer Disease - pathology Area Under Curve biomarker classification Cognition Cohort Studies Databases, Factual Early Diagnosis Female Glucose - metabolism hippocampus Hippocampus - diagnostic imaging Hippocampus - metabolism Hippocampus - pathology Humans image analysis Image Interpretation, Computer-Assisted - methods machine learning magnetic resonance imaging Magnetic Resonance Imaging - methods Male Middle Aged mild cognitive impairment Organ Size Positron-Emission Tomography Prognosis
Title	Early detection of Alzheimer's disease using MRI hippocampal texture
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Volume	37
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