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Cerebral microcirculation mapped by echo particle tracking velocimetry quantifies the intracranial pressure and detects ischemia

Author

Listed:
  • Zeng Zhang

    (Johns Hopkins University)

  • Misun Hwang

    (Children’s Hospital of Philadelphia
    University of Pennsylvania)

  • Todd J. Kilbaugh

    (Children’s Hospital of Philadelphia)

  • Anush Sridharan

    (Children’s Hospital of Philadelphia)

  • Joseph Katz

    (Johns Hopkins University)

Abstract

Affecting 1.1‰ of infants, hydrocephalus involves abnormal accumulation of cerebrospinal fluid, resulting in elevated intracranial pressure (ICP). It is the leading cause for brain surgery in newborns, often causing long-term neurologic disabilities or even death. Since conventional invasive ICP monitoring is risky, early neurosurgical interventions could benefit from noninvasive techniques. Here we use clinical contrast-enhanced ultrasound (CEUS) imaging and intravascular microbubble tracking algorithms to map the cerebral blood flow in hydrocephalic pediatric porcine models. Regional microvascular perfusions are quantified by the cerebral microcirculation (CMC) parameter, which accounts for the concentration of micro-vessels and flow velocity in them. Combining CMC with hemodynamic parameters yields functional relationships between cortical micro-perfusion and ICP, with correlation coefficients exceeding 0.85. For cerebral ischemia cases, the nondimensionalized cortical micro-perfusion decreases by an order of magnitude when ICP exceeds 50% of the MAP. These findings suggest that CEUS-based CMC measurement is a plausible noninvasive method for assessing the ICP and detecting ischemia.

Suggested Citation

  • Zeng Zhang & Misun Hwang & Todd J. Kilbaugh & Anush Sridharan & Joseph Katz, 2022. "Cerebral microcirculation mapped by echo particle tracking velocimetry quantifies the intracranial pressure and detects ischemia," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28298-5
    DOI: 10.1038/s41467-022-28298-5
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    References listed on IDEAS

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    1. Claudia Errico & Juliette Pierre & Sophie Pezet & Yann Desailly & Zsolt Lenkei & Olivier Couture & Mickael Tanter, 2015. "Ultrafast ultrasound localization microscopy for deep super-resolution vascular imaging," Nature, Nature, vol. 527(7579), pages 499-502, November.
    2. Tatjana Opacic & Stefanie Dencks & Benjamin Theek & Marion Piepenbrock & Dimitri Ackermann & Anne Rix & Twan Lammers & Elmar Stickeler & Stefan Delorme & Georg Schmitz & Fabian Kiessling, 2018. "Motion model ultrasound localization microscopy for preclinical and clinical multiparametric tumor characterization," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
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    Cited by:

    1. Jie Li & Fan Zhang & Xiaobin Xia & Kaihang Zhang & Jianhui Wu & Yulu Liu & Chi Zhang & Xinyu Cai & Jiaqi Lu & Liangquan Xu & Rui Wan & Dinku Hazarika & Weipeng Xuan & Jinkai Chen & Zhen Cao & Yubo Li , 2024. "An ultrasensitive multimodal intracranial pressure biotelemetric system enabled by exceptional point and iontronics," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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