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Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus

AIMS/HYPOTHESIS: Type 2 diabetes mellitus has been associated with brain atrophy and cognitive decline, but the association with ischaemic white matter lesions is unclear. Previous neuroimaging studies have mainly used semiquantitative rating scales to measure atrophy and white matter lesions (WMLs)...

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Detalles Bibliográficos
Autores principales: Jongen, C., van der Grond, J., Kappelle, L. J., Biessels, G. J., Viergever, M. A., Pluim, J. P. W.
Formato: Texto
Lenguaje:English
Publicado: Springer-Verlag 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1914300/
https://www.ncbi.nlm.nih.gov/pubmed/17492428
http://dx.doi.org/10.1007/s00125-007-0688-y
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author Jongen, C.
van der Grond, J.
Kappelle, L. J.
Biessels, G. J.
Viergever, M. A.
Pluim, J. P. W.
author_facet Jongen, C.
van der Grond, J.
Kappelle, L. J.
Biessels, G. J.
Viergever, M. A.
Pluim, J. P. W.
author_sort Jongen, C.
collection PubMed
description AIMS/HYPOTHESIS: Type 2 diabetes mellitus has been associated with brain atrophy and cognitive decline, but the association with ischaemic white matter lesions is unclear. Previous neuroimaging studies have mainly used semiquantitative rating scales to measure atrophy and white matter lesions (WMLs). In this study we used an automated segmentation technique to investigate the association of type 2 diabetes, several diabetes-related risk factors and cognition with cerebral tissue and WML volumes. SUBJECTS AND METHODS: Magnetic resonance images of 99 patients with type 2 diabetes and 46 control participants from a population-based sample were segmented using a k-nearest neighbour classifier trained on ten manually segmented data sets. White matter, grey matter, lateral ventricles, cerebrospinal fluid not including lateral ventricles, and WML volumes were assessed. Analyses were adjusted for age, sex, level of education and intracranial volume. RESULTS: Type 2 diabetes was associated with a smaller volume of grey matter (−21.8 ml; 95% CI −34.2, −9.4) and with larger lateral ventricle volume (7.1 ml; 95% CI 2.3, 12.0) and with larger white matter lesion volume (56.5%; 95% CI 4.0, 135.8), whereas white matter volume was not affected. In separate analyses for men and women, the effects of diabetes were only significant in women. CONCLUSIONS/INTERPRETATION: The combination of atrophy with larger WML volume indicates that type 2 diabetes is associated with mixed pathology in the brain. The observed sex differences were unexpected and need to be addressed in further studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00125-007-0688-y) contains a list of members of the Utrecht Diabetic Encephalopathy Study Group, and is available to authorised users.
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spelling pubmed-19143002007-07-12 Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus Jongen, C. van der Grond, J. Kappelle, L. J. Biessels, G. J. Viergever, M. A. Pluim, J. P. W. Diabetologia Article AIMS/HYPOTHESIS: Type 2 diabetes mellitus has been associated with brain atrophy and cognitive decline, but the association with ischaemic white matter lesions is unclear. Previous neuroimaging studies have mainly used semiquantitative rating scales to measure atrophy and white matter lesions (WMLs). In this study we used an automated segmentation technique to investigate the association of type 2 diabetes, several diabetes-related risk factors and cognition with cerebral tissue and WML volumes. SUBJECTS AND METHODS: Magnetic resonance images of 99 patients with type 2 diabetes and 46 control participants from a population-based sample were segmented using a k-nearest neighbour classifier trained on ten manually segmented data sets. White matter, grey matter, lateral ventricles, cerebrospinal fluid not including lateral ventricles, and WML volumes were assessed. Analyses were adjusted for age, sex, level of education and intracranial volume. RESULTS: Type 2 diabetes was associated with a smaller volume of grey matter (−21.8 ml; 95% CI −34.2, −9.4) and with larger lateral ventricle volume (7.1 ml; 95% CI 2.3, 12.0) and with larger white matter lesion volume (56.5%; 95% CI 4.0, 135.8), whereas white matter volume was not affected. In separate analyses for men and women, the effects of diabetes were only significant in women. CONCLUSIONS/INTERPRETATION: The combination of atrophy with larger WML volume indicates that type 2 diabetes is associated with mixed pathology in the brain. The observed sex differences were unexpected and need to be addressed in further studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00125-007-0688-y) contains a list of members of the Utrecht Diabetic Encephalopathy Study Group, and is available to authorised users. Springer-Verlag 2007-05-11 2007-07 /pmc/articles/PMC1914300/ /pubmed/17492428 http://dx.doi.org/10.1007/s00125-007-0688-y Text en © Springer-Verlag 2007
spellingShingle Article
Jongen, C.
van der Grond, J.
Kappelle, L. J.
Biessels, G. J.
Viergever, M. A.
Pluim, J. P. W.
Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus
title Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus
title_full Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus
title_fullStr Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus
title_full_unstemmed Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus
title_short Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus
title_sort automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1914300/
https://www.ncbi.nlm.nih.gov/pubmed/17492428
http://dx.doi.org/10.1007/s00125-007-0688-y
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