Preliminary experience with diffuse correlation spectroscopy in acute ischemic stroke neurointerventional procedures.

Blood Flow Laser Stroke

Journal

Journal of neurointerventional surgery
ISSN: 1759-8486
Titre abrégé: J Neurointerv Surg
Pays: England
ID NLM: 101517079

Informations de publication

Date de publication:
17 May 2023
Historique:
received: 05 04 2023
accepted: 03 05 2023
pmc-release: 17 11 2024
medline: 18 5 2023
pubmed: 18 5 2023
entrez: 17 5 2023
Statut: aheadofprint

Résumé

Diffuse correlation spectroscopy (DCS) is a non-invasive optical technique that enables continuous blood flow measurements in various organs, including the brain. DCS quantitatively measures blood flow from temporal fluctuations in the intensity of diffusely reflected light caused by the dynamic scattering of light from moving red blood cells within the tissue. We performed bilateral cerebral blood flow (CBF) measurements using a custom DCS device in patients undergoing neuroendovascular interventions for acute ischemic stroke. Experimental, clinical, and imaging data were collected in a prospective manner. The device was successfully applied in nine subjects. There were no safety concerns or interference with the standard angiography suite or intensive care unit workflow. Six cases were selected for final analysis and interpretation. DCS measurements with photon count rates greater than 30 KHz had sufficient signal-to-noise to resolve blood flow pulsatility. We found an association between angiographic changes in cerebral reperfusion (partial or complete reperfusion established in stroke thrombectomy cases; temporary flow arrest during carotid artery stenting) and those observed intraprocedurally with CBF measurements via DCS. Limitations of the current technology included sensitivity to the interrogated tissue volume under the probe and the effect of local changes in tissue optical properties on the accuracy of CBF estimates. Our initial experience with DCS in neurointerventional procedures showed the feasibility of this non-invasive approach in providing continuous measurement of regional CBF brain tissue properties.

Sections du résumé

BACKGROUND BACKGROUND
Diffuse correlation spectroscopy (DCS) is a non-invasive optical technique that enables continuous blood flow measurements in various organs, including the brain. DCS quantitatively measures blood flow from temporal fluctuations in the intensity of diffusely reflected light caused by the dynamic scattering of light from moving red blood cells within the tissue.
METHODS METHODS
We performed bilateral cerebral blood flow (CBF) measurements using a custom DCS device in patients undergoing neuroendovascular interventions for acute ischemic stroke. Experimental, clinical, and imaging data were collected in a prospective manner.
RESULTS RESULTS
The device was successfully applied in nine subjects. There were no safety concerns or interference with the standard angiography suite or intensive care unit workflow. Six cases were selected for final analysis and interpretation. DCS measurements with photon count rates greater than 30 KHz had sufficient signal-to-noise to resolve blood flow pulsatility. We found an association between angiographic changes in cerebral reperfusion (partial or complete reperfusion established in stroke thrombectomy cases; temporary flow arrest during carotid artery stenting) and those observed intraprocedurally with CBF measurements via DCS. Limitations of the current technology included sensitivity to the interrogated tissue volume under the probe and the effect of local changes in tissue optical properties on the accuracy of CBF estimates.
CONCLUSION CONCLUSIONS
Our initial experience with DCS in neurointerventional procedures showed the feasibility of this non-invasive approach in providing continuous measurement of regional CBF brain tissue properties.

Identifiants

pubmed: 37197931
pii: jnis-2023-020407
doi: 10.1136/jnis-2023-020407
pmc: PMC10654255
mid: NIHMS1928371
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NINDS NIH HHS
ID : R21 NS130495
Pays : United States

Informations de copyright

© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: MM: grant: NIH; consultant: Cerenovus, Medtronic; stock options: Bendit Technologies, Borvo Medical, BrainQ, Endostream, Serenity Medical, Synchron, Sim&Cure, QAS.AI, Quantanosis.AI; Assistant Editor for JNIS. WSB: grant: Athersys, BMS, Florida High Tech Corridor, NIH, Reneuron, VuEssence; consultant: Genentech, VuEssence; stock options: VuEssence; other: PRIME Education. ABP: grant: NIH; stock options: SPKL LLC.

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Auteurs

Maxim Mokin (M)

Department of Neurosurgery and Brain Repair, University of South Florida College of Medicine, Tampa, Florida, USA mokin@usf.edu.

Shail Thanki (S)

Department of Neurosurgery and Brain Repair, University of South Florida College of Medicine, Tampa, Florida, USA.

Penaz Parveen Sultana Mohammad (PPS)

Department of Electrical Engineering, University of South Florida, Tampa, Florida, USA.

Steve Sheehy (S)

Department of Electrical Engineering, University of South Florida, Tampa, Florida, USA.

Kassandra M Jones (KM)

Department of Neurosurgery and Brain Repair, University of South Florida College of Medicine, Tampa, Florida, USA.

Ivo Peto (I)

Department of Neurosurgery and Brain Repair, University of South Florida College of Medicine, Tampa, Florida, USA.

Waldo R Guerrero (WR)

Department of Neurosurgery and Brain Repair, University of South Florida College of Medicine, Tampa, Florida, USA.

Kunal Vakharia (K)

Department of Neurosurgery and Brain Repair, University of South Florida College of Medicine, Tampa, Florida, USA.

W Scott Burgin (WS)

Department of Neurology, University of South Florida College of Medicine, Tampa, Florida, USA.

Ashwin B Parthasarathy (AB)

Department of Electrical Engineering, University of South Florida, Tampa, Florida, USA.

Classifications MeSH