Scientific article

Peak Width of Skeletonized Mean Diffusivity: A Neuroimaging Marker for White Matter Injury

Published inRadiology, vol. 306, no. 3, e212780
Publication date2023-03
First online date2023-01-24

A leading cause of white matter (WM) injury in older individuals is cerebral small vessel disease (SVD). Cerebral SVD is the most prevalent vascular contributor to cognitive impairment and dementia. Therapeutic progress for cerebral SVD and other WM disorders depends on the development and validation of neuroimaging markers suitable as outcome measures in future interventional trials. Diffusion-tensor imaging (DTI) is one of the best-suited MRI techniques for assessing the extent of WM damage in the brain. But the optimal method to analyze individual DTI data remains hindered by labor-intensive and time-consuming processes. Peak width of skeletonized mean diffusivity (PSMD), a recently developed fast, fully automated DTI marker, was designed to quantify the WM damage secondary to cerebral SVD and reflect related cognitive impairment. Despite its promising results, knowledge about PSMD is still limited in the radiologic community. This focused review provides an overview of the technical details of PSMD while synthesizing the available data on its clinical and neuroimaging associations. From a critical expert viewpoint, the authors discuss the limitations of PSMD and its current validation status as a neuroimaging marker for vascular cognitive impairment. Finally, they point out the gaps to be addressed to further advance the field.

  • Humans
  • Aged
  • White Matter / diagnostic imaging
  • Diffusion Magnetic Resonance Imaging / methods
  • Neuroimaging / adverse effects
  • Diffusion Tensor Imaging / methods
  • Magnetic Resonance Imaging / adverse effects
  • Cognitive Dysfunction / complications
  • Cerebral Small Vessel Diseases / complications
Citation (ISO format)
ZANON ZOTIN, Maria Clara et al. Peak Width of Skeletonized Mean Diffusivity: A Neuroimaging Marker for White Matter Injury. In: Radiology, 2023, vol. 306, n° 3, p. e212780. doi: 10.1148/radiol.212780
Main files (1)
Article (Published version)
ISSN of the journal0033-8419

Technical informations

Creation04/28/2023 12:07:41 PM
First validation10/02/2023 10:01:11 AM
Update time10/02/2023 10:01:11 AM
Status update10/02/2023 10:01:11 AM
Last indexation02/01/2024 10:44:38 AM
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