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Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy for Detection of Early Alzheimer's Disease

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Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy for Detection of Early Alzheimer's Disease. / Westman, Eric; Wahlund, Lars-Olof; Foy, Catherine; Poppe, Michaela; Cooper, Allison; Murphy, Declan; Spenger, Christian; Lovestone, Simon; Simmons, Andrew.

In: JOURNAL OF ALZHEIMERS DISEASE, Vol. 26, No. S3, 2011, p. 307-319.

Research output: Contribution to journalArticle

Harvard

Westman, E, Wahlund, L-O, Foy, C, Poppe, M, Cooper, A, Murphy, D, Spenger, C, Lovestone, S & Simmons, A 2011, 'Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy for Detection of Early Alzheimer's Disease', JOURNAL OF ALZHEIMERS DISEASE, vol. 26, no. S3, pp. 307-319. https://doi.org/10.3233/JAD-2011-0028

APA

Westman, E., Wahlund, L-O., Foy, C., Poppe, M., Cooper, A., Murphy, D., ... Simmons, A. (2011). Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy for Detection of Early Alzheimer's Disease. JOURNAL OF ALZHEIMERS DISEASE, 26(S3), 307-319. https://doi.org/10.3233/JAD-2011-0028

Vancouver

Westman E, Wahlund L-O, Foy C, Poppe M, Cooper A, Murphy D et al. Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy for Detection of Early Alzheimer's Disease. JOURNAL OF ALZHEIMERS DISEASE. 2011;26(S3):307-319. https://doi.org/10.3233/JAD-2011-0028

Author

Westman, Eric ; Wahlund, Lars-Olof ; Foy, Catherine ; Poppe, Michaela ; Cooper, Allison ; Murphy, Declan ; Spenger, Christian ; Lovestone, Simon ; Simmons, Andrew. / Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy for Detection of Early Alzheimer's Disease. In: JOURNAL OF ALZHEIMERS DISEASE. 2011 ; Vol. 26, No. S3. pp. 307-319.

Bibtex Download

@article{ad808ed410ad42929a336a570527b684,
title = "Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy for Detection of Early Alzheimer's Disease",
abstract = "Alzheimer's disease is the most common form of neurodegenerative disorder and early detection is of great importance if new therapies are to be effectively administered. We have investigated whether the discrimination between early Alzheimer's disease (AD) and elderly healthy control subjects can be improved by adding magnetic resonance spectroscopy (MRS) measures to magnetic resonance imaging (MRI) measures.In this study 30 AD patients and 36 control subjects were included. High resolution T1-weighted axial magnetic resonance images were obtained from each subject. Automated regional volume segmentation and cortical thickness measures were determined for the images. H-1 MRS was acquired from the hippocampus and LCModel was used for metabolic quantification. Altogether, this yielded 58 different volumetric, cortical thickness and metabolite ratio variables which were used for multivariate analysis to distinguish between subjects with AD and Healthy controls. Combining MRI and MRS measures resulted in a sensitivity of 97{\%} and a specificity of 94{\%} compared to using MRI or MRS measures alone (sensitivity: 87{\%}, 76{\%}, specificity: 86{\%}, 83{\%} respectively). Adding the MRS measures to the MRI measures more than doubled the positive likelihood ratio from 6 to 17.Adding MRS measures to a multivariate analysis of MRI measures resulted in significantly better classification than using MRI measures alone. The method shows strong potential for discriminating between Alzheimer's disease and controls.",
author = "Eric Westman and Lars-Olof Wahlund and Catherine Foy and Michaela Poppe and Allison Cooper and Declan Murphy and Christian Spenger and Simon Lovestone and Andrew Simmons",
year = "2011",
doi = "10.3233/JAD-2011-0028",
language = "English",
volume = "26",
pages = "307--319",
journal = "JOURNAL OF ALZHEIMERS DISEASE",
issn = "1387-2877",
number = "S3",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy for Detection of Early Alzheimer's Disease

AU - Westman, Eric

AU - Wahlund, Lars-Olof

AU - Foy, Catherine

AU - Poppe, Michaela

AU - Cooper, Allison

AU - Murphy, Declan

AU - Spenger, Christian

AU - Lovestone, Simon

AU - Simmons, Andrew

PY - 2011

Y1 - 2011

N2 - Alzheimer's disease is the most common form of neurodegenerative disorder and early detection is of great importance if new therapies are to be effectively administered. We have investigated whether the discrimination between early Alzheimer's disease (AD) and elderly healthy control subjects can be improved by adding magnetic resonance spectroscopy (MRS) measures to magnetic resonance imaging (MRI) measures.In this study 30 AD patients and 36 control subjects were included. High resolution T1-weighted axial magnetic resonance images were obtained from each subject. Automated regional volume segmentation and cortical thickness measures were determined for the images. H-1 MRS was acquired from the hippocampus and LCModel was used for metabolic quantification. Altogether, this yielded 58 different volumetric, cortical thickness and metabolite ratio variables which were used for multivariate analysis to distinguish between subjects with AD and Healthy controls. Combining MRI and MRS measures resulted in a sensitivity of 97% and a specificity of 94% compared to using MRI or MRS measures alone (sensitivity: 87%, 76%, specificity: 86%, 83% respectively). Adding the MRS measures to the MRI measures more than doubled the positive likelihood ratio from 6 to 17.Adding MRS measures to a multivariate analysis of MRI measures resulted in significantly better classification than using MRI measures alone. The method shows strong potential for discriminating between Alzheimer's disease and controls.

AB - Alzheimer's disease is the most common form of neurodegenerative disorder and early detection is of great importance if new therapies are to be effectively administered. We have investigated whether the discrimination between early Alzheimer's disease (AD) and elderly healthy control subjects can be improved by adding magnetic resonance spectroscopy (MRS) measures to magnetic resonance imaging (MRI) measures.In this study 30 AD patients and 36 control subjects were included. High resolution T1-weighted axial magnetic resonance images were obtained from each subject. Automated regional volume segmentation and cortical thickness measures were determined for the images. H-1 MRS was acquired from the hippocampus and LCModel was used for metabolic quantification. Altogether, this yielded 58 different volumetric, cortical thickness and metabolite ratio variables which were used for multivariate analysis to distinguish between subjects with AD and Healthy controls. Combining MRI and MRS measures resulted in a sensitivity of 97% and a specificity of 94% compared to using MRI or MRS measures alone (sensitivity: 87%, 76%, specificity: 86%, 83% respectively). Adding the MRS measures to the MRI measures more than doubled the positive likelihood ratio from 6 to 17.Adding MRS measures to a multivariate analysis of MRI measures resulted in significantly better classification than using MRI measures alone. The method shows strong potential for discriminating between Alzheimer's disease and controls.

U2 - 10.3233/JAD-2011-0028

DO - 10.3233/JAD-2011-0028

M3 - Article

VL - 26

SP - 307

EP - 319

JO - JOURNAL OF ALZHEIMERS DISEASE

JF - JOURNAL OF ALZHEIMERS DISEASE

SN - 1387-2877

IS - S3

ER -

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