Arterial stiffness cut-off value and white matter integrity in the elderly

Badji, Atef; Colina, Adrián Noriega de la; Karakuzu, Agâh; Duval, Tanguy; Desjardins-Crépeau, Laurence; Parizet, Matthieu; Joubert, Sven; Bherer, Louis; Lamarre-Cliché, Maxime; Stikov, Nikola; Cohen‐Adad, Julien; Girouard, Hélène

doi:10.1016/j.nicl.2019.102007

Cited by 11 publications

(20 citation statements)

References 52 publications

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“…The learning/memory dysfunction observed in SHRSP can be partly attributed to an impaired cerebral neurotransmitter system resulting in reduced acetylcholine and choline levels in the cortex, as well as to thrombosis resulting from structural changes (blood components and blood velocity in vessels) resulting from prolonged hypertension [83]. Although with complex confounding variables, especially aging, hypertension and increased arterial stiffness and impaired WMH microstructure interact in a vicious cycle [84,85]. In hypertensive elderly persons, WMH volumes increased in both normotensive controls and hypertensive groups at almost two years follow-up, and a significant linear trend in WMHs volume progression was found, being highest in the hypertensive group, followed by the treated hypertensive group, and lowest in the normotensive group [86].…”

Section: Other Vascular Risk Factors For Wmhs-related Cognitive Deficitmentioning

confidence: 99%

Role of White Matter Hyperintensities and Related Risk Factors in Vascular Cognitive Impairment: A Review

et al. 2021

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White matter hyperintensities (WMHs) of presumed vascular origin are one of the imaging markers of cerebral small-vessel disease, which is prevalent in older individuals and closely associated with the occurrence and development of cognitive impairment. The heterogeneous nature of the imaging manifestations of WMHs creates difficulties for early detection and diagnosis of vascular cognitive impairment (VCI) associated with WMHs. Because the underlying pathological processes and biomarkers of WMHs and their development in cognitive impairment remain uncertain, progress in prevention and treatment is lagging. For this reason, this paper reviews the status of research on the features of WMHs related to VCI, as well as mediators associated with both WMHs and VCI, and summarizes potential treatment strategies for the prevention and intervention in WMHs associated with VCI.

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Section: Other Vascular Risk Factors For Wmhs-related Cognitive Deficitmentioning

confidence: 99%

Role of White Matter Hyperintensities and Related Risk Factors in Vascular Cognitive Impairment: A Review

et al. 2021

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“…The most important contribution of this article is the vendor‐neutral solution it provides for multi‐center qMRI by significantly reducing inter‐vendor variability. This issue has been hampering the standardization of qMRI methods for multi‐center clinical trials, 59 validation, 60,61 establishing protocols, 17 applied neuroimaging studies, 62 determining the range of parameters in pathology 63,64 and in health, 16,38 scanner upgrades, 48 and even for phantom studies 12,13 . By reducing such variabilities, the VENUS approach can bring qMRI closer to teasing out the true biological variability in quantifying in vivo tissue microstructure 65 …”

Section: Discussionmentioning

confidence: 99%

Vendor‐neutral sequences and fully transparent workflows improve inter‐vendor reproducibility of quantitative MRI

Karakuzu

Biswas

Cohen‐Adad

et al. 2022

Magnetic Resonance in Med

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Purpose We developed an end‐to‐end workflow that starts with a vendor‐neutral acquisition and tested the hypothesis that vendor‐neutral sequences decrease inter‐vendor variability of T1, magnetization transfer ratio (MTR), and magnetization transfer saturation‐index (MTsat) measurements. Methods We developed and deployed a vendor‐neutral 3D spoiled gradient‐echo (SPGR) sequence on three clinical scanners by two MRI vendors. We then acquired T1 maps on the ISMRM‐NIST system phantom, as well as T1, MTR, and MTsat maps in three healthy participants. We performed hierarchical shift function analysis in vivo to characterize the differences between scanners when the vendor‐neutral sequence is used instead of commercial vendor implementations. Inter‐vendor deviations were compared for statistical significance to test the hypothesis. Results In the phantom, the vendor‐neutral sequence reduced inter‐vendor differences from 8% to 19.4% to 0.2% to 5% with an overall accuracy improvement, reducing ground truth T1 deviations from 7% to 11% to 0.2% to 4%. In vivo, we found that the variability between vendors is significantly reduced (p = 0.015) for all maps (T1, MTR, and MTsat) using the vendor‐neutral sequence. Conclusion We conclude that vendor‐neutral workflows are feasible and compatible with clinical MRI scanners. The significant reduction of inter‐vendor variability using vendor‐neutral sequences has important implications for qMRI research and for the reliability of multicenter clinical trials.

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“…The most important contribution of this article is the vendor-neutral solution it provides for multi-center qMRI by significantly reducing inter-vendor variability. This issue has been hampering the standardization of qMRI methods for multi-center clinical trials 60 , validation 61,62 , establishing protocols 17 , applied neuroimaging studies 63 , determining the range of parameters in pathology 64,65 and in health 16,38 , scanner upgrades 49 and even for phantom studies 12,13 . By reducing such variabilities, the VENUS approach can bring qMRI closer to teasing out the true biological variability in quantifying in-vivo tissue microstructure 66 .…”

Section: Discussionmentioning

confidence: 99%

Vendor-neutral sequences and fully transparent workflows improve inter-vendor reproducibility of quantitative MRI

Karakuzu

Biswas

Cohen‐Adad

et al. 2021

Preprint

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Purpose: We developed a transparent end-to-end qMRI workflow that starts with a vendor-neutral acquisition and tested the hypothesis that vendor-neutral sequences (VENUS) decrease inter-vendor variability of T1, MTR and MTsat measurements. Methods: We developed and deployed a vendor-neutral 3D spoiled gradient-echo (SPGR) sequence on three clinical scanners by two MRI vendors and acquired T1 maps on the NIST phantom, as well as T1, MTR and MTsat maps in three healthy participants. We performed hierarchical shift function analysis in vivo to characterize the differences between scanners when VENUS is used instead of commercial vendor implementations. Inter-vendor deviations were compared for statistical significance to test the hypothesis. Results: In the NIST phantom, VENUS reduced inter-vendor differences from 8 - 19.4% to 0.2 - 5% with an overall accuracy improvement, reducing ground truth T1 deviation from 7 - 11% to 0.2 - 4%. In vivo we found that the variability between vendors is significantly reduced (p = 0.015) for all maps (T1, MTR and MTsat) using VENUS. Conclusion: We conclude that vendor-neutral workflows are feasible and compatible with clinical MRI scanners. The significant reduction of inter-vendor variability using VENUS has important implications for qMRI research and for the reliability of multicenter clinical trials.

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Arterial stiffness cut-off value and white matter integrity in the elderly

Cited by 11 publications

References 52 publications

Role of White Matter Hyperintensities and Related Risk Factors in Vascular Cognitive Impairment: A Review

Role of White Matter Hyperintensities and Related Risk Factors in Vascular Cognitive Impairment: A Review

Vendor‐neutral sequences and fully transparent workflows improve inter‐vendor reproducibility of quantitative MRI

Vendor-neutral sequences and fully transparent workflows improve inter-vendor reproducibility of quantitative MRI

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