Contrast agent‐free state‐of‐the‐art magnetic resonance imaging on cerebral small vessel disease – Part 2: Diffusion tensor imaging and functional magnetic resonance imaging

Silva, Pedro Henrique Rodrigues da; Paschoal, André Monteiro; Secchinatto, Kaio Felippe; Zotin, Maria Clara Zanon; Santos, Antônio Carlos dos; Viswanathan, Anand; Pontes-Neto, Octávio M.; Leoni, Renata Ferranti

doi:10.1002/nbm.4743

Cited by 4 publications

(9 citation statements)

References 189 publications

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“…However, Brandhofe and colleagues found that the T2 relaxation time of NAWM was associated with cognition in CSVD patients, which the FA and MD of the NAWM failed to achieve 44 . More recently, newer acquisitions and models such as the free‐water (FW) model have shown greater associations with WM injury and cognitive impairment, as compared to the traditional DTI measures 43 . The development of vessel wall imaging (VWI) allows detailed evaluation of the vessel wall and lumen in a single image setting, enabling the visualization of actual pathology of the vessel wall before luminal narrowing becomes apparent, may help to depict the mechanisms underlying CSVD.…”

Section: Resultsmentioning

confidence: 99%

“…A nine‐year longitudinal study showed that DTI could detect impaired WM microstructure integrity years before WMH become visible on conventional neuroimaging. DTI‐derived parameters, such as fractional anisotropy (FA) and mean diffusivity (MD), have been shown to be associated with cognitive impairment, gait disorders, risk of mortality, and CSVD severity 43 . However, Brandhofe and colleagues found that the T2 relaxation time of NAWM was associated with cognition in CSVD patients, which the FA and MD of the NAWM failed to achieve 44 .…”

Section: Resultsmentioning

confidence: 99%

“…DTIderived parameters, such as fractional anisotropy (FA) and mean diffusivity (MD), have been shown to be associated with cognitive impairment, gait disorders, risk of mortality, and CSVD severity. 43 However, Brandhofe and colleagues found that the T2 relaxation time of NAWM was associated with cognition in CSVD patients, which the FA and MD of the NAWM failed to achieve. 44 More recently, newer acquisitions and models such as the free-water (FW) model have shown greater associations with WM injury and cognitive impairment, as compared to the traditional DTI measures.…”

Section: Imaging Features Of Csvdmentioning

confidence: 99%

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Plasma inflammatory biomarkers in cerebral small vessel disease: A review

et al. 2022

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Cerebral small vessel disease (CSVD) is a group of pathological processes affecting small arteries, arterioles, capillaries, and small veins of the brain. It is one of the most common subtypes of cerebrovascular diseases, especially highly prevalent in elderly populations, and is associated with stroke occurrence and recurrence, cognitive impairment, gait disorders, psychological disturbance, and dysuria. Its diagnosis mainly depends on MRI, characterized by recent small subcortical infarcts, lacunes, white matter hyperintensities (WMHs), enlarged perivascular spaces (EPVS), cerebral microbleeds (CMBs), and brain atrophy. While the pathophysiological processes of CSVD are not fully understood at present, inflammation is noticed as playing an important role. Herein, we aimed to review the relationship between plasma inflammatory biomarkers and the MRI features of CSVD, to provide background for further research.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Imaging Features Of Csvdmentioning

confidence: 99%

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Plasma inflammatory biomarkers in cerebral small vessel disease: A review

et al. 2022

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“…Exploring in detail state-of-the-art MRI techniques in cSVD is beyond the scope of this chapter, for which the reader is referred to recent reviews on the subject. 124,125 As previously discussed, NVU dysfunction is considered an early and pivotal step in the pathogenesis of SVD 126 associated with BBB leakage, impairment of cerebrovascular reactivity and hypoperfusion. Therefore, MRI techniques capable of detecting these early pathological changes are considered promising for mechanistic studies and application as secondary endpoints in future clinical trials.…”

Section: Advanced Mri Techniquesmentioning

confidence: 99%

“…Other methods for analyzing diffusion data are beyond the scope of this review, for which the reader is encouraged to refer to other detailed reviews. 125,213…”

Section: Introductionmentioning

confidence: 99%

Peak width of skeletonized mean diffusivity (PSMD) as neuroimaging biomarker for vascular cognitive impairment in the context of cerebral amyloid angiopathy

Zotin¹

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First, I thank God, for all the priviledges I have been granted. Agradeço primeiramente a Deus, pelos inúmeros privilégios que me foram concedidos. Que eu saiba retribuir todas as bençãos.I would like to thank the patients and families, who, facing so many difficulties due to challenging health conditions, kindly choose to participate in research, in benefit not of themselves, but of future generations.Agradeço às instituições públicas brasileiras que me ensinaram a ser médica (

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Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition

et al. 2023

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The acquisition of intravoxel incoherent motion (IVIM) data and diffusion tensor imaging (DTI) data from the brain can be integrated into a single measurement, which offers the possibility to determine orientation‐dependent (tensorial) perfusion parameters in addition to established IVIM and DTI parameters. The purpose of this study was to evaluate the feasibility of such a protocol with a clinically feasible scan time below 6 min and to use a model‐selection approach to find a set of DTI and IVIM tensor parameters that most adequately describes the acquired data. Diffusion‐weighted images of the brain were acquired at 3 T in 20 elderly participants with cerebral small vessel disease using a multiband echoplanar imaging sequence with 15 b‐values between 0 and 1000 s/mm2 and six non‐collinear diffusion gradient directions for each b‐value. Seven different IVIM‐diffusion models with 4 to 14 parameters were implemented, which modeled diffusion and pseudo‐diffusion as scalar or tensor quantities. The models were compared with respect to their fitting performance based on the goodness of fit (sum of squared fit residuals, chi2) and their Akaike weights (calculated from the corrected Akaike information criterion). Lowest chi2 values were found using the model with the largest number of model parameters. However, significantly highest Akaike weights indicating the most appropriate models for the acquired data were found with a nine‐parameter IVIM–DTI model (with isotropic perfusion modeling) in normal‐appearing white matter (NAWM), and with an 11‐parameter model (IVIM–DTI with additional pseudo‐diffusion anisotropy) in white matter with hyperintensities (WMH) and in gray matter (GM). The latter model allowed for the additional calculation of the fractional anisotropy of the pseudo‐diffusion tensor (with a median value of 0.45 in NAWM, 0.23 in WMH, and 0.36 in GM), which is not accessible with the usually performed IVIM acquisitions based on three orthogonal diffusion‐gradient directions.

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Contrast agent‐free state‐of‐the‐art magnetic resonance imaging on cerebral small vessel disease – Part 2: Diffusion tensor imaging and functional magnetic resonance imaging

Cited by 4 publications

References 189 publications

Plasma inflammatory biomarkers in cerebral small vessel disease: A review

Plasma inflammatory biomarkers in cerebral small vessel disease: A review

Peak width of skeletonized mean diffusivity (PSMD) as neuroimaging biomarker for vascular cognitive impairment in the context of cerebral amyloid angiopathy

Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition

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