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In vivo detection of penetrating arteriole alterations in cerebral white matter in patients with diabetes with 7 T MRI.

Publication ,  Journal Article
Zong, X; Jimenez, J; Li, T; Powers, WJ
Published in: Magn Reson Imaging
July 2023

Cerebral small vessel disease (SVD) is responsible for primary intracerebral hemorrhages, lacunar infarcts and white matter hyperintensity in T2 weighted images. While the brain lesions attributed to small vessel disease can be characterized by conventional MRI, it remains challenging to noninvasively measure the early pathological changes of the small underlying vessels. We evaluated the feasibility of detecting alterations in white matter penetrating arterioles (PA) in patients with diabetes with ultra-high field 7 T MRI. 19 participants with diabetes mellitus (DM) and 19 age- and sex-matched healthy controls were scanned with whole brain T2 and susceptibility weighted MRI and a single slice phase contrast MRI 15 mm above the corpus callosum. The PC-MRI scans were repeated three times. PA masks were manually drawn on the first images after anonymization or automatically segmented on all three images. For each PA, lumen diameter, flow velocity and volume flow rate were derived by model-based analyses of complex difference images. Quasi-Poisson regression was performed for PA count using disease condition, age, and sex as independent variables. Linear mixed effect model analyses were performed for the other measurements using disease condition and age as fixed effect and participant pair specific disease condition as random effect. No severe radiological features of SVD were observed in T2 and susceptibility weighted images in any of the participants except for white matter hyperintensities with Fazekas score of 1 or 2 in 68% and 26% of patients and controls, respectively. The minimum diameter of visible PA was 78 μm and the majority had diameters <250 μm. Among the manually segmented PA with tilt angle less than 30o from the slice normal direction, flow velocities were lower in the DM group (1.9 ± 0.6 vs. 2.2 ± 0.6; p = 0.022), while no significant difference was observed in count, diameter, or volume flow rate. Similar results were observed in the automatically segmented PA. We also observed significantly increased diameter or decreased velocity with age in some of the scans. This study suggests that early PA alterations that are discriminative of disease state and age might be detectable in human cerebral white matter with 7 T MRI in vivo.

Duke Scholars

Published In

Magn Reson Imaging

DOI

EISSN

1873-5894

Publication Date

July 2023

Volume

100

Start / End Page

84 / 92

Location

Netherlands

Related Subject Headings

  • White Matter
  • Nuclear Medicine & Medical Imaging
  • Magnetic Resonance Imaging
  • Humans
  • Diabetes Mellitus
  • Brain
  • Arterioles
  • 3202 Clinical sciences
  • 1702 Cognitive Sciences
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Zong, X., Jimenez, J., Li, T., & Powers, W. J. (2023). In vivo detection of penetrating arteriole alterations in cerebral white matter in patients with diabetes with 7 T MRI. Magn Reson Imaging, 100, 84–92. https://doi.org/10.1016/j.mri.2023.03.015
Zong, Xiaopeng, Jordan Jimenez, Tengfei Li, and William J. Powers. “In vivo detection of penetrating arteriole alterations in cerebral white matter in patients with diabetes with 7 T MRI.Magn Reson Imaging 100 (July 2023): 84–92. https://doi.org/10.1016/j.mri.2023.03.015.
Zong, Xiaopeng, et al. “In vivo detection of penetrating arteriole alterations in cerebral white matter in patients with diabetes with 7 T MRI.Magn Reson Imaging, vol. 100, July 2023, pp. 84–92. Pubmed, doi:10.1016/j.mri.2023.03.015.
Journal cover image

Published In

Magn Reson Imaging

DOI

EISSN

1873-5894

Publication Date

July 2023

Volume

100

Start / End Page

84 / 92

Location

Netherlands

Related Subject Headings

  • White Matter
  • Nuclear Medicine & Medical Imaging
  • Magnetic Resonance Imaging
  • Humans
  • Diabetes Mellitus
  • Brain
  • Arterioles
  • 3202 Clinical sciences
  • 1702 Cognitive Sciences
  • 1103 Clinical Sciences