The DOI matches its Crossref record; 63 of the 64 references it cites were found in a registry or an index.
Microglial imaging with positron emission tomography and atrophy measurements with magnetic resonance imaging in multiple sclerosis: a correlative study
Abstract
Objective The objectives of the present study were to assess brain atrophy in multiple sclerosis (MS) patients during different disease stages and to investigate by PET and [11C]PK11195, a marker of microglial activation, the relationship between inflammation, atrophy and clinically relevant measures. Methods Eight healthy subjects and 22 MS patients were included. Semiquantitative [11C]PK11195 uptake values, with normalization on cortical grey matter, were measured for magnetic resonance imaging T2- and T1-lesions and normal appearing white matter (NAWM). As atrophy index we used the ratio of the amount of white and grey matter divided by the ventricular size, using an optimized a priori based segmentation algorithm (SPM99). Results Atrophy was significantly greater in MS patients compared to age-matched controls. A significant correlation was found between brain atrophy and both disease duration and disability, as measured with the Expanded Disability Status Scale. For NAWM, [11C]PK11195 uptake increased with the amount of atrophy, while T2-lesional [11C]PK11195 uptake values decreased according to increasing brain atrophy. Conclusions The present study suggests that brain atrophy, correlating with disease duration and disability, is directly related to NAWM and T2-lesional inflammation as measured by microglial activation.
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“TSPO PET signal is markedly upregulated in neurodegenerative and neuroinflammatory diseases including multiple sclerosis”
From A quantitative neuropathological assessment of translocator protein expression in multiple sclerosis (2019) · cites this paper as Versijpt et al., 2005
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Cites
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
McDonald, W. I., Compston, A., Edan, G., Goodkin, D., Hartung, H., Lublin, F. D., McFarland, H. F., Paty, D. W., Polman, C. H., Reingold, S. C., et al. (2001) · Annals of Neurology · doi:10.1002/ana.1032 · Cited by 6,969
Axonal transection in the lesions of multiple sclerosis
Trapp, B. D., Peterson, J., Ransohoff, R. M., Rudick, R., Mörk, S., & Bö, L. (1998) · New England Journal of Medicine · doi:10.1056/nejm199801293380502 · Cited by 4,029
Comparing Functional (PET) Images: The Assessment of Significant Change
Friston, K. J., Frith, C., Liddle, P. F., & Frackowiak, R. S. J. (1991) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1991.122 · Cited by 1,626
Frackowiak, R. S. J., Lenzi, G.-L., Jones, T., & Heather, J. D. (1980) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-198012000-00001 · Cited by 1,241
Relapsing and remitting multiple sclerosis: Pathology of the newly forming lesion
Barnett, M. H., & Prineas, J. W. (2004) · Annals of Neurology · doi:10.1002/ana.20016 · Cited by 1,184
Multimodal image coregistration and partitioning--a unified framework.
Ashburner, J., & Friston, K. (1997) · NeuroImage · doi:10.1006/nimg.1997.0290 · Cited by 1,051
Turner, M. R., Cagnin, A., Turkheimer, F. E., Miller, C. C. J., Shaw, C. E., Brooks, D. J., Leigh, P. N., & Banati, R. B. (2004) · Neurobiology of Disease · doi:10.1016/j.nbd.2003.12.012 · Cited by 737
Use of the brain parenchymal fraction to measure whole brain atrophy in relapsing-remitting MS
Rudick, R. A., Fisher, E., Lee, J.-C., Simon, J. H., & Jacobs, L. (1999) · Neurology · doi:10.1212/wnl.53.8.1698 · Cited by 736
Miller, D. H. (2002) · Brain · doi:10.1093/brain/awf177 · Cited by 628
Research works printed but not linked: 2
- 10.1097/00019052-200306000-00004 · DOI
- Zivadinov R , Fisher E , Grop A , Nasuelli D , Bratina A , Zorzon M et al. Normalized versus absolute brain atrophy measures in multiple sclerosis . Mult Scler 2001; 7: S47-S47 (abstract).
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Items 101–126 of 126
PET Imaging in Multiple Sclerosis: Focus on the Translocator Protein
Colasanti, A., & Piccini, P. P. (2014) · Springer eBooks · doi:10.1007/978-3-642-54307-4_35 · Cited by 2
PET Imaging of Translocator Protein Expression in Neurological Disorders
Brooks, D. J. (2014) · Springer eBooks · doi:10.1007/978-3-642-42014-6_22 · Cited by 2
PET/CT and PET/MRI in Neurology: Infection/Inflammation
Sollini, M., Boni, R., Lazzeri, E., & Erba, P. A. (2016) · Springer eBooks · doi:10.1007/978-3-319-31614-7_10 · Cited by 2
Semiquantification Study of [11C]-(R)-PK11195 PET Brain Images in Multiple Sclerosis
Narciso, L., Schuck, P. N., Dartora, C. M., Matushita, C. S., Becker, J., & da Silva, A. M. M. (2016) · Revista Brasileira de Física Médica · doi:10.29384/rbfm.2016.v10.n2.p39-43 · Cited by 2
TSPO’nun (18 kDa Translokatör Protein) Yapısı, İşlevi ve Patolojik Süreçlerdeki Rolü
Elma, Y., & Can, E. Y. (2024) · Medical Journal of Western Black Sea · doi:10.29058/mjwbs.1477979 · Cited by 1
TSPO-PET-measurable neuroinflammation associates with brain atrophy in multiple sclerosis.
Yenikekaluva, A., Sjöros, T., Matilainen, M., Snellman, A., Rinne, J., Alfaifi, B., Hinz, R., Saraste, M., & Airas, L. (2026) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2026.107207 · Cited by 1
Woodcock, T. (2010) · UKnowledge (University of Kentucky) · Cited by 1
Technical Principles and Protocols of PET/MR Imaging
Kalemis, A. (2013) · Springer eBooks · doi:10.1007/978-3-642-31292-2_3 · Cited by 1
Evaluation of reference tissue models for analysing [11C](R)-PK11195 studies
Kropholler, M. A., van Berckel, B. N. M., Schuitemaker, A., Folkersma, H., Luurtsema, G., Windhorst, A. D., Boellaard, R., & Lammertsma, A. A. (2005) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9591524.0642 · Cited by 1
Effects of Anxiolytic Drugs in Animal Models of Multiple Sclerosis
Novo, S., Freire‐Garabal, M., & Jess, M. (2012) · InTech eBooks · doi:10.5772/29604
Imaging patterns of inflammation in multiple sclerosis: a multifocal approach
Vellinga, M. M. (2009) · Pure Amsterdam UMC
Activated Microglia After Traumatic Brain Injury. The Neuroinflammatory Mastermind
Folkersma, I. H. (2015) · Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam)
Giannetti, P. (2015) · Spiral (Imperial College London) · doi:10.25560/34680
Geração de Imagens PET Estáticas com [11C]-(R)-PK11195: Definição do Intervalo Temporal
Schuck, P. N., Dartora, C. M., & da Silva, A. M. M. (2017) · Revista Brasileira de Física Médica · doi:10.29384/rbfm.2017.v11.n2.p25-29
IRM et TDM de perfusion dans l'exploration des tumeurs cérébrales
Kremer, S., Ferré, J., Lefournier, V., Grand, S., Bracard, S., & Bas, J. F. L. (2018) · Elsevier eBooks · doi:10.1016/b978-2-294-75394-7.00009-6
Colasanti, A. (2014) · Spiral (Imperial College London) · doi:10.25560/25285
Positron emission tomography imaging of neuroinflammation
(2023) · Advances in magnetic resonance technology and applications · doi:10.1016/b978-0-323-91771-1.00007-1
Neurobiology of Neuroimmune Encephalitic Disorders
Laje, G. (2023) · Springer eBooks · doi:10.1007/978-3-030-42825-9_167-1
Multiple sclerosis: Clinical course, open questions, unmet clinical needs
Zurawski, J. D., & Weiner, H. L. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-823848-6.00001-4
Neurobiology of Neuroimmune Encephalitic Disorders
Laje, G. (2024) · Springer eBooks · doi:10.1007/978-3-030-51366-5_167
Chang, C.-W., Chiu, C.-H., Lin, M.-H., Wu, H.-M., Yu, T.-H., Wang, P.-Y., Kuo, Y.-Y., Huang, Y.-Y., Shiue, C.-Y., Huang, W.-S., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14227913
Vavasour, I. M., Vafai, N. M., Beauchemin, P., Shahinfard, E., Laule, C., Traboulsee, A. L., Sossi, V., Kolind, S., & Carruthers, R. L. (2026) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2026.107189
Evaluating the Clinical Utility of TSPO-PET in MS and the Influence of Methodological Heterogeneity
Neishaboori, A. M., Agarwal, M., Kalinsky, A., Lofaso, J. P., Rampilla, G., Kras, E. A., Nagy, S. C., Cooper, J. G., Ai, S., Zhang, C. K., et al. (2026) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000200658
Metadata
- Authors
- Versijpt, J., Debruyne, J. C., Van Laere, K. J., De Vos, F., Keppens, J., Strijckmans, K., Achten, E., Slegers, G., Dierckx, R. A., Korf, J., & De Reuck, J. L.
- Affiliations
- University Medical Center Groningen (NL)
- Ghent University Hospital (BE)
- Division of Nuclear Medicine, Ghent University Hospital, Ghent, the Netherlands
- Laboratory of Radiopharmacy, Ghent University, Ghent, the Netherlands
- Ghent University (BE)
- Department of Neurology, Ghent University Hospital, Ghent, the Netherlands
- Corresponding author
- Debruyne, J C
- Venue
- Multiple Sclerosis Journal
- Publisher
- SAGE Publications
- Published
- 2005-04
- Volume
- 11
- Issue
- 2
- Pages
- 127-134
- ISSN
- 1352-4585 (ISSN-L)
- 1477-0970
- OpenAlex
- W1993466811
- Cited by
- 126
- References
- 64
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 6 · 2023: 3 · 2022: 2 · 2021: 4 · 2020: 3 · 2019: 9 · 2018: 5 · 2017: 12 · 2016: 11 · 2015: 7 · 2014: 14 · 2013: 4 · 2012: 8
- FWCI
- 4.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Multiple Sclerosis Journal (publishedVersion)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Topics
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- multiple sclerosis, brain atrophy, microglial activation, [11C]PK11195, positron emission tomography, normal-appearing white matter, T2 lesions, disease duration, disability, neuroinflammation
- MeSH terms
- Adult, Aged, Antineoplastic Agents, Atrophy, Brain, Carbon Radioisotopes, Female, Humans, Isoquinolines, Magnetic Resonance Imaging, Male, Middle Aged, Multiple Sclerosis, Microglia, Positron-Emission Tomography
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