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Spectral Diffusion Analysis of Intravoxel Incoherent Motion MRI in Cerebral Small Vessel Disease.
Wong, Sau May; Backes, Walter H; Drenthen, Gerhard S; Zhang, C Eleana; Voorter, Paulien H M; Staals, Julie; van Oostenbrugge, Robert J; Jansen, Jacobus F A.
Afiliação
  • Wong SM; Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands.
  • Backes WH; Department of Neurology, Maastricht University Medical Centre, Maastricht, the Netherlands.
  • Drenthen GS; Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands.
  • Zhang CE; Department of Neurology, Maastricht University Medical Centre, Maastricht, the Netherlands.
  • Voorter PHM; Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands.
  • Staals J; Department of Neurology, Maastricht University Medical Centre, Maastricht, the Netherlands.
  • van Oostenbrugge RJ; Department of School for Mental Health and Neuroscience (MHeNs), Maastricht University Medical Centre, Maastricht, the Netherlands.
  • Jansen JFA; Department of Neurology, Maastricht University Medical Centre, Maastricht, the Netherlands.
J Magn Reson Imaging ; 51(4): 1170-1180, 2020 04.
Article em En | MEDLINE | ID: mdl-31486211
ABSTRACT

BACKGROUND:

Cerebral intravoxel incoherent motion (IVIM) imaging assumes two components. However, more compartments are likely present in pathologic tissue. We hypothesized that spectral analysis using a nonnegative least-squares (NNLS) approach can detect an additional, intermediate diffusion component, distinct from the parenchymal and microvascular components, in lesion-prone regions.

PURPOSE:

To investigate the presence of this intermediate diffusion component and its relation with cerebral small vessel disease (cSVD)-related lesions. STUDY TYPE Prospective cross-sectional study. POPULATION Patients with cSVD (n = 69, median age 69.8) and controls (n = 39, median age 68.9). FIELD STRENGTH/SEQUENCE Whole-brain inversion recovery IVIM acquisition at 3.0T. ASSESSMENT Enlarged perivascular spaces (PVS) were rated by three raters. White matter hyperintensities (WMH) were identified on a fluid attenuated inversion recovery (FLAIR) image using a semiautomated algorithm. STATISTICAL TESTS Relations between IVIM measures and cSVD-related lesions were studied using the Spearman's rank order correlation.

RESULTS:

NNLS yielded diffusion spectra from which the intermediate volume fraction fint was apparent between parenchymal diffusion and microvasular pseudodiffusion. WMH volume and the extent of MRI-visible enlarged PVS in the basal ganglia (BG) and centrum semiovale (CSO) were correlated with fint in the WMHs, BG, and CSO, respectively. fint was 4.2 ± 1.7%, 7.0 ± 4.1% and 13.6 ± 7.7% in BG and 3.9 ± 1.3%, 4.4 ± 1.4% and 4.5 ± 1.2% in CSO for the groups with low, moderate, and high number of enlarged PVS, respectively, and increased with the extent of enlarged PVS (BG r = 0.49, P < 0.01; CSO r = 0.23, P = 0.02). fint in the WMHs was 27.1 ± 13.1%, and increased with the WMH volume (r = 0.57, P < 0.01). DATA

CONCLUSION:

We revealed the presence of an intermediate diffusion component in lesion-prone regions of cSVD and demonstrated its relation with enlarged PVS and WMHs. In tissue with these lesions, tissue degeneration or perivascular edema can lead to more freely diffusing interstitial fluid contributing to fint . LEVEL OF EVIDENCE 2 Technical Efficacy Stage 2 J. Magn. Reson. Imaging 2020;511170-1180.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças de Pequenos Vasos Cerebrais Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças de Pequenos Vasos Cerebrais Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article