Evidence map›Paper›PMID 33774980›Full record

ArticleJournal of biomedical optics2021

Validation of diffuse correlation spectroscopy measures of critical closing pressure against transcranial Doppler ultrasound in stroke patients.

Kuan-Cheng Wu, John Sunwoo, Faheem Sheriff, Parisa Farzam, Parya Y Farzam, Felipe Orihuela-Espina, Sarah L LaRose, Andrew D Monk, Mohammad A Aziz-Sultan, Nirav Patel and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
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

27 citing papers in PubMed, 42 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Kuan-Cheng WuMassachusetts General Hospital and Harvard Medical School, Optics at Athinoula A. Martinos Center fo, United States.
John SunwooMassachusetts General Hospital and Harvard Medical School, Optics at Athinoula A. Martinos Center fo, United States.
Faheem SheriffBrigham and Women's Hospital, Department of Neurology, Boston, Massachusetts, United States.
Parisa FarzamMassachusetts General Hospital and Harvard Medical School, Optics at Athinoula A. Martinos Center fo, United States.
Parya Y FarzamMassachusetts General Hospital and Harvard Medical School, Optics at Athinoula A. Martinos Center fo, United States.
Felipe Orihuela-EspinaMassachusetts General Hospital and Harvard Medical School, Optics at Athinoula A. Martinos Center fo, United States.
Sarah L LaRoseBrigham and Women's Hospital, Department of Neurology, Boston, Massachusetts, United States.
Andrew D MonkBrigham and Women's Hospital, Department of Neurology, Boston, Massachusetts, United States.
Mohammad A Aziz-SultanBrigham and Women's Hospital, Department of Neurosurgery, Boston, Massachusetts, United States.
Nirav PatelBrigham and Women's Hospital, Department of Neurosurgery, Boston, Massachusetts, United States.
Henrikas VaitkeviciusBrigham and Women's Hospital, Department of Neurology, Boston, Massachusetts, United States.
Maria Angela FranceschiniMassachusetts General Hospital and Harvard Medical School, Optics at Athinoula A. Martinos Center fo, United States.
Brigham and Women's Hospital · USHarvard University · USMassachusetts General Hospital · USAthinoula A. Martinos Center for Biomedical Imaging · US

Funding

DCS cerebral blood flow monitor for extreme low-birth-weight infantsR01HD091067 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI EL-DIB, MOHAMED, FRANCESCHINI, MARIA ANGELA · 2018 to 2022
$3.3M
NIRS-DCS for monitoring anesthesia and surgical manipulations of cerebral oxygen deliveryR01GM116177 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI FRANCESCHINI, MARIA ANGELA · 2016 to 2019
$1.6M
NICHD NIH HHS R01 HD091067NIGMS NIH HHS R01 GM116177Wellcome Trust
6 · The paper itself

Abstract

significanceIntracranial pressure (ICP), variability in perfusion, and resulting ischemia are leading causes of secondary brain injury in patients treated in the neurointensive care unit. Continuous, accurate monitoring of cerebral blood flow (CBF) and ICP guide intervention and ultimately reduce morbidity and mortality. Currently, only invasive tools are used to monitor patients at high risk for intracranial hypertension.

aimDiffuse correlation spectroscopy (DCS), a noninvasive near-infrared optical technique, is emerging as a possible method for continuous monitoring of CBF and critical closing pressure (CrCP or zero-flow pressure), a parameter directly related to ICP. APPROACH: We optimized DCS hardware and algorithms for the quantification of CrCP. Toward its clinical translation, we validated the DCS estimates of cerebral blood flow index (CBFi) and CrCP in ischemic stroke patients with respect to simultaneously acquired transcranial Doppler ultrasound (TCD) cerebral blood flow velocity (CBFV) and CrCP.

resultsWe found CrCP derived from DCS and TCD were highly linearly correlated (ipsilateral R2  =  0.77, p  =  9  ×  10  -  7; contralateral R2  =  0.83, p  =  7  ×  10  -  8). We found weaker correlations between CBFi and CBFV (ipsilateral R2  =  0.25, p  =  0.03; contralateral R2  =  0.48, p  =  1  ×  10  -  3) probably due to the different vasculature measured.

conclusionOur results suggest DCS is a valid alternative to TCD for continuous monitoring of CrCP.

Indexed as

StrokeUltrasonography, Doppler, TranscranialBlood Flow VelocityBlood PressureCerebrovascular CirculationHumansIntracranial PressureSpectrum Analysiscritical closing pressurediffuse correlation spectroscopyintracranial pressureischemic strokenear-infrared spectroscopy

Identifiers

PMID33774980
PMCPMC7998065
OpenAlexW3143334684

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.