Cited by 55Multiple Sclerosis Research StudiesAdvanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and Applications

Morphological features of MS lesions on FLAIR* at 7 T and their relation to patient characteristics

Kilsdonk, Iris D., Lopez-Soriano, Alexandra, Kuijer, Joost P. A., de Graaf, Wolter L., Castelijns, Jonas A., Polman, Chris H., Luijten, Peter R., Geurts, Jeroen J. J. G. +2 more·2014·Journal of Neurology

Abstract

Recently, a new MRI technique was developed at 3 Tesla (T), called fluid attenuated inversion recovery* (FLAIR*). In this study, we implemented FLAIR* in an existing MS cohort at 7 T, to investigate whether we could corroborate results of previous 7 T studies that introduced specific MS lesion characteristics. Furthermore, we aimed to investigate the meaning of these lesion characteristics by relating them to clinical characteristics of the MS patient. Three-dimensional FLAIR and T2*-weighted images of 33 MS patients and 7 healthy controls were fused into FLAIR* images. Lesion type, signal intensity and morphology were analysed on FLAIR*, side-by-side with the original FLAIR and T2*, and correlated with clinical characteristics using Spearman's rho. Three morphological features of MS lesions were visualised: (1) central vessel (CV) within lesions, present in 78 % of total MS lesions; (2) hypointense rims around MS lesions, present in eight patients; (3) FLAIR* lesions that were hypointense at T2*, present in 13 patients. The presence of hypointense (rims around) lesions was not related to clinical characteristics. The simultaneous presence of rimlike lesions and hypointense lesions within MS patients was significantly correlated (ρ = 0.52, P < 0.01). We conclude that the implementation of the new MRI technique FLAIR* at ultra-high-field 7 T combines and corroborates the results of preceding 7 T research, by showing three morphological features of MS lesions. In addition, our…

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Crossref · 10.1007/s00415-014-7351-6

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  • Application of new diagnostic criteria can have an impact on future recruitment into and interpretation of clinical trials and observational studies but should not affect registration of already-approved medications.

    “It was recognized that application of new diagnostic criteria can have an impact on future recruitment into and interpretation of clinical trials and observational studies 98 but should not affect registration of already-approved medications.”

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Authors
Kilsdonk, I. D., Lopez-Soriano, A., Kuijer, J. P. A., de Graaf, W. L., Castelijns, J. A., Polman, C. H., Luijten, P. R., Geurts, J. J. J. G., Barkhof, F., & Wattjes, M. P.
Affiliations
  • Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
  • Gemeente Amsterdam (NL)
  • University Medical Center Utrecht (NL)
Corresponding author
Kilsdonk, Iris D.
Venue
Journal of Neurology
Published
2014-04-29
Volume
261
Issue
7
Pages
1356-1364
ISSN
  • 0012-1037 (ISSN-L)
  • 0340-5354
  • 1432-1459
OpenAlex
W2013244107
Cited by
55
References
2
Citations by year
2025: 3 · 2024: 7 · 2023: 6 · 2022: 6 · 2021: 4 · 2020: 5 · 2019: 3 · 2018: 4 · 2017: 9 · 2016: 6 · 2015: 1 · 2014: 1
FWCI
4.21
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Neurology (publishedVersion)
  • PubMed (publishedVersion)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Pure Amsterdam UMC (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
multiple sclerosis, MS lesions, FLAIR, 7T MRI, ultra-high field MRI, lesion morphology, hypointense lesions, T2-weighted imaging, clinical features
MeSH terms
Adult, Brain, Disability Evaluation, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Multiple Sclerosis, Disease Progression

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