4.7 Article

Ultrafast Doppler imaging and ultrasound localization microscopy reveal the complexity of vascular rearrangement in chronic spinal lesion

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SCIENTIFIC REPORTS
卷 12, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-022-10250-8

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  1. Sorbonne Universite
  2. Institut National de la Sante et de la Recherche Medicale (INSERM)
  3. Centre National de Rechercher Scientifique (CNRS)
  4. ANR [18-CE37-0005-01]
  5. Satt-Lutech [Meduse-MA00444]
  6. IRME
  7. Medjeduse
  8. Inserm ART (Technology Research Accelerator) in Biomedical Ultrasound

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Acute spinal cord injury results in severe damage to the microvascular network. This study uses ultrafast Doppler imaging and ultrasound localization microscopy to analyze the structural and functional vascular alterations during chronic SCI. The results show hemodynamic alterations in the spinal cord and correlations between vascular dysfunction biomarkers and SCI severity. This imaging modality can be used to evaluate vascular function recovery and predict treatment outcomes.
Acute spinal cord injury (SCI) leads to severe damage to the microvascular network. The process of spontaneous repair is accompanied by formation of new blood vessels; their functionality, however, presumably very important for functional recovery, has never been clearly established, as most studies so far used fixed tissues. Here, combining ultrafast Doppler imaging and ultrasound localization microscopy (ULM) on the same animals, we proceeded at a detailed analysis of structural and functional vascular alterations associated with the establishment of chronic SCI, both at macroscopic and microscopic scales. Using a standardized animal model of SCI, our results demonstrate striking hemodynamic alterations in several subparts of the spinal cord: a reduced blood velocity in the lesion site, and an asymmetrical hypoperfusion caudal but not rostral to the lesion. In addition, the worsening of many evaluated parameters at later time points suggests that the neoformed vascular network is not yet fully operational, and reveals ULM as an efficient in vivo readout for spinal cord vascular alterations. Finally, we show statistical correlations between the diverse biomarkers of vascular dysfunction and SCI severity. The imaging modality developed here will allow evaluating recovery of vascular function over time in pre-clinical models of SCI. Also, used on SCI patients in combination with other quantitative markers of neural tissue damage, it may help classifying lesion severity and predict possible treatment outcomes in patients.

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