Abstract
Abstract
Objectives To investigate whether a new magnetic resonance
image (MRI) technique called T2*-weighted fluid attenuation
inversion recovery (FLAIR*) can differentiate between multiple
sclerosis (MS) and vascular brain lesions, at 7 Tesla (T).
Methods We examined 16 MS patients and 16 age-matched
patients with (risk factors for) vascular disease. 3D-FLAIR
and T2*-weighted images were combined into FLAIR* images.
Lesion type and intensity, perivascular orientation and
presence of a hypointense rim were analysed.
Results In total, 433 cerebral lesions were detected in MS
patients versus 86 lesions in vascular patients. Lesions in
MS patients were significantly more often orientated in a
perivascular manner: 74 % vs. 47 % (P <0.001). Ten MS
lesions (2.3 %) were surrounded by a hypointense rim on
FLAIR*, and 24 MS lesions (5.5 %) were hypointense on
T2*. No lesions in vascular patients showed any rim or
hypointensity. Specificity of differentiating MS from vascular
lesions on 7-T FLAIR* increased when the presence of a
central vessel was taken into account (from 63 % to 88 %),
most obviously for deep white matter lesions (from 69 % to
94 %). High sensitivity remained (81 %).
Conclusion 7-T FLAIR* improves differentiation between
MS and vascular lesions based on lesion location,
perivascular orientation and presence of hypointense
(rims around) lesions.
Key Points
• A new MRI technique T2*-weighted fluid attenuation inversion
recovery (FLAIR*) was investigated.
• FLAIR* at 7-T MRI combines FLAIR and T2* images into a
single image.
• FLAIR* at 7 T does not require enhancement with contrast
agents.
• High-resolution 7-T FLAIR* improves differentiation between
MS and vascular brain lesions.
• FLAIR* revealed a central vessel more frequently in MS than
vascular lesions.
Original language | English |
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Pages (from-to) | 841-849 |
Number of pages | 9 |
Journal | European Radiology |
Volume | 24 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Keywords
- Econometric and Statistical Methods: General
- Geneeskunde (GENK)
- Geneeskunde(GENK)
- Medical sciences
- Bescherming en bevordering van de menselijke gezondheid