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Intraoperative tracking of tissue perfusion during cerebral aneurysm surgery with laser speckle contrast imaging: insights beyond standard intraoperative neuromonitoring for detecting ischemia.

Overview

Authors: Ebenezer Raj Selvaraj Mercyshalinie1, Abdurrahman F. Kharbat2, Michael Machiorlatti3, Andrew K. Dunn4, Andrew Bauer2, Christopher S. Graffeo2, David R. Miller1,2
  1. The University of Oklahoma, Stephenson School of Biomedical Engineering, Norman, Oklahoma, United States
  2. University of Oklahoma College of Medicine, Department of Neurosurgery, Oklahoma City, Oklahoma, United States
  3. University of Oklahoma Health Sciences Center, Department of Biostatistics and Epidemiology, Oklahoma City, Oklahoma, United States
  4. The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States
Journal: Neurophotonics, volume 13, issue 3, article 035003
Dates: received 18 November 2025; accepted 15 June 2026; published online 7 July 2026; in print July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1117/1.nph.13.3.035003 · PMID 42416970 · PMCID PMC13340444 · OpenAlex W7167573249
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: stroke (population), clinical / translational (subfield)
Methods: Statistics, fMRI & imaging, Connectivity
Keywords: laser speckle contrast imaging, cerebral blood flow, ischemia, stroke, neurosurgery
Topic: Traumatic Brain Injury and Neurovascular Disturbances (Neurology, Medicine), according to OpenAlex
Funding: University of Oklahoma (100007926); National Institute of General Medical Sciences of the National Institutes of Health (P20GM162339)
Citations: not cited yet (Europe PMC); 39 references in the paper

Abstract

Significance: Intraoperative cerebral ischemia is a critical complication that can arise during cerebral aneurysm clipping surgery. Although intraoperative neuromonitoring (IONM) can detect resulting functional deficits, these alerts may occur minutes after the initial ischemic event.

Aim: We aimed to demonstrate the clinical utility of laser speckle contrast imaging (LSCI) for continuous, real-time monitoring of cerebral blood flow (CBF) during aneurysm surgery.

Approach: In this case study, a 67-year-old female underwent a craniotomy for a left-sided cerebral aneurysm. A microscope-integrated LSCI system was used to continuously monitor cortical perfusion. After surgery, LSCI data were correlated with IONM alerts, indocyanine green angiography (ICGA), and surgical events, including an ischemic period following clip placement. A paired t-test, mixed effects model, and changepoint analysis were used to compare mean perfusion between the pre-ischemic and ischemic periods across seven regions of interest (ROIs) on the cortical surface.

Results: LSCI detected a widespread drop in cortical perfusion immediately following the application of an aneurysm clip. This perfusion deficit was detected by LSCI ∼8 min before the corresponding IONM alert. During the ischemic period, blood flow decreased across six of the seven ROIs, with reductions ranging from 7.9% to 28.0%. The overall decrease in perfusion from the pre-ischemic to the ischemic period was statistically significant (p<0.0001).

Conclusions: LSCI can provide continuous imaging of tissue perfusion during surgery, enabling the detection of developing ischemia before functional deficits may be evident on IONM. The ability of LSCI to track tissue perfusion changes highlights its potential as a valuable complementary tool for enhancing surgical safety alongside IONM and ICGA.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

The paper's code and data availability statement is in the Data section.

Tracing map

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Data

Datasets cited

Code and Data Availability

Data files analyzed during the current study are available on GitHub: github.com/MillerLabOU

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 5 keywords, 2 funders, 36 references.

Cite

This paper

Mercyshalinie, E. R. S., Kharbat, A. F., Machiorlatti, M., Dunn, A. K., Bauer, A., Graffeo, C. S., & Miller, D. R. (2026). Intraoperative tracking of tissue perfusion during cerebral aneurysm surgery with laser speckle contrast imaging: insights beyond standard intraoperative neuromonitoring for detecting ischemia. Neurophotonics, 13(3), 035003. https://doi.org/10.1117/1.nph.13.3.035003

BibTeX

@article{mercyshalinie2026intraoperative,
author = {Mercyshalinie, Ebenezer Raj Selvaraj and Kharbat, Abdurrahman F. and Machiorlatti, Michael and Dunn, Andrew K. and Bauer, Andrew and Graffeo, Christopher S. and Miller, David R.},
title = {{Intraoperative tracking of tissue perfusion during cerebral aneurysm surgery with laser speckle contrast imaging: insights beyond standard intraoperative neuromonitoring for detecting ischemia}},
journal = {Neurophotonics},
year = {2026},
month = jul,
volume = {13},
number = {3},
pages = {035003},
publisher = {Society of Photo-Optical Instrumentation Engineers},
issn = {2329-423X},
doi = {10.1117/1.nph.13.3.035003},
url = {https://doi.org/10.1117/1.nph.13.3.035003},
pmid = {42416970},
pmcid = {PMC13340444}
}

RIS

TY - JOUR
AU - Mercyshalinie, Ebenezer Raj Selvaraj
AU - Kharbat, Abdurrahman F.
AU - Machiorlatti, Michael
AU - Dunn, Andrew K.
AU - Bauer, Andrew
AU - Graffeo, Christopher S.
AU - Miller, David R.
TI - Intraoperative tracking of tissue perfusion during cerebral aneurysm surgery with laser speckle contrast imaging: insights beyond standard intraoperative neuromonitoring for detecting ischemia
T2 - Neurophotonics
J2 - Neurophotonics
PY - 2026
DA - 2026/07/07
VL - 13
IS - 3
SP - 035003
SN - 2329-423X
PB - Society of Photo-Optical Instrumentation Engineers
DO - 10.1117/1.nph.13.3.035003
UR - https://doi.org/10.1117/1.nph.13.3.035003
LA - en
ER -

CSL-JSON

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