Evidence map›Paper›PMID 28112550›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2017

Intraoperative multi-exposure speckle imaging of cerebral blood flow.

Lisa M Richards, Sm Shams Kazmi, Katherine E Olin, James S Waldron, Douglas J Fox, Andrew K Dunn

Abstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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  5. Mapping fast tissue dynamics with long camera exposures via intensity modulation.Proceedings of the National Academy of Sciences of the United States of America · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lisa M Richards1 Department of Biomedical Engineering, The University of Texas at Austin, Austin TX, USA.
Sm Shams Kazmi1 Department of Biomedical Engineering, The University of Texas at Austin, Austin TX, USA.
Katherine E Olin1 Department of Biomedical Engineering, The University of Texas at Austin, Austin TX, USA.
James S Waldron2 NeuroTexas Institute, St. David's Medical Center, Austin, USA.
Douglas J Fox2 NeuroTexas Institute, St. David's Medical Center, Austin, USA.
Andrew K Dunn1 Department of Biomedical Engineering, The University of Texas at Austin, Austin TX, USA.

Funding

Optical Imaging of Baseline Blood Flow and Oxygenation During StrokeR01EB011556 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI DUNN, ANDREW K · 2010 to 2018
$3.1M
NIBIB NIH HHS R01 EB011556
6 · The paper itself

Abstract

Multiple studies have demonstrated that laser speckle contrast imaging (LSCI) has high potential to be a valuable cerebral blood flow monitoring technique during neurosurgery. However, the quantitative accuracy and sensitivity of LSCI is limited, and highly dependent on the exposure time. An extension to LSCI called multi-exposure speckle imaging (MESI) overcomes these limitations, and was evaluated intraoperatively in patients undergoing brain tumor resection. This clinical study ( n = 8) recorded multiple exposure times from the same cortical tissue area spanning 0.5-20 ms, and evaluated images individually as single-exposure LSCI and jointly using the MESI model. This study demonstrated that the MESI estimates provided the broadest flow sensitivity for sampling the flow magnitude in the human brain, closely followed by the shorter exposure times. Conservation of flow analysis on vascular bifurcations was used to validate physiological accuracy, with highly conserved flow estimates (<10%) from both MESI and 1 ms LSCI ( n = 14 branches). The MESI model had high goodness-of-fit with proper image calibration and acquisition, and was used to monitor blood flow changes after tissue cautery. Results from this study demonstrate that intraoperative MESI can be performed with high quantitative accuracy and sensitivity for cerebral blood flow monitoring.

Indexed as

LasersNeurosurgical ProceduresBrainCalibrationCerebrovascular CirculationDiagnostic ImagingEquipment DesignHumansImage Interpretation, Computer-AssistedMonitoring, IntraoperativeReproducibility of ResultsSensitivity and SpecificityCerebral blood flowintraoperative imaginglaser speckle contrast imagingmulti-exposure speckle imagingneurosurgery

Identifiers

PMID28112550
PMCPMC5584700

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.