Evidence map›Paper›PMID 27335889›Full record

ArticleNeurophotonics2016

Establishing the diffuse correlation spectroscopy signal relationship with blood flow.

David A Boas, Sava Sakadžić, Juliette Selb, Parisa Farzam, Maria Angela Franceschini, Stefan A Carp

Open access · hybridAbstract read
In one paragraph

Article in Neurophotonics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 1 pooled it
13.7field-weighted citation impact, top 1% 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

126 citing papers in PubMed, 1 synthesis or guideline pooled it, 184 citations in OpenAlex.

  1. Pooled it
  2. Cerebral Blood Flow Response During Bolus Normal Saline Infusion After Ischemic Stroke.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2019
    Trial
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66 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

David A BoasMGH/HST Athinoula A. Martinos Center for Biomedical Imaging , Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02129, United States.
Sava SakadžićMGH/HST Athinoula A. Martinos Center for Biomedical Imaging , Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02129, United States.
Juliette SelbMGH/HST Athinoula A. Martinos Center for Biomedical Imaging , Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02129, United States.
Parisa FarzamMGH/HST Athinoula A. Martinos Center for Biomedical Imaging , Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02129, United States.
Maria Angela FranceschiniMGH/HST Athinoula A. Martinos Center for Biomedical Imaging , Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02129, United States.
Stefan A CarpMGH/HST Athinoula A. Martinos Center for Biomedical Imaging , Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02129, United States.
Athinoula A. Martinos Center for Biomedical Imaging · USHarvard University · US

Funding

Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Dynamic Optical Imaging Biomarkers of Tumor Response to TherapyR01CA187595 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CARP, STEFAN ALEXANDRU · 2015 to 2019
$2.6M
Two-Photon Microscopy of Oxygen Consumption in the BrainR01NS091230 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI SAKADZIC, SAVA · 2015 to 2019
$2.4M
Monitoring intracranial pressure with diffuse correlation spectroscopyR21NS093259 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI FRANCESCHINI, MARIA ANGELA · 2015 to 2016
$433k
NCI NIH HHS R01 CA187595NIBIB NIH HHS P41 EB015896NINDS NIH HHS R01 NS091230NINDS NIH HHS R21 NS093259
6 · The paper itself

Abstract

Diffuse correlation spectroscopy (DCS) measurements of blood flow rely on the sensitivity of the temporal autocorrelation function of diffusively scattered light to red blood cell (RBC) mean square displacement (MSD). For RBCs flowing with convective velocity [Formula: see text], the autocorrelation is expected to decay exponentially with [Formula: see text], where [Formula: see text] is the delay time. RBCs also experience shear-induced diffusion with a diffusion coefficient [Formula: see text] and an MSD of [Formula: see text]. Surprisingly, experimental data primarily reflect diffusive behavior. To provide quantitative estimates of the relative contributions of convective and diffusive movements, we performed Monte Carlo simulations of light scattering through tissue of varying vessel densities. We assumed laminar vessel flow profiles and accounted for shear-induced diffusion effects. In agreement with experimental data, we found that diffusive motion dominates the correlation decay for typical DCS measurement parameters. Furthermore, our model offers a quantitative relationship between the RBC diffusion coefficient and absolute tissue blood flow. We thus offer, for the first time, theoretical support for the empirically accepted ability of the DCS blood flow index ([Formula: see text]) to quantify tissue perfusion. We find [Formula: see text] to be linearly proportional to blood flow, but with a proportionality modulated by the hemoglobin concentration and the average blood vessel diameter.

Indexed as

blood flowdiffuse correlation spectroscopyMonte Carlophoton migration

Identifiers

PMID27335889
PMCPMC4904065
OpenAlexW2410095506

What OpenQuestion holds

Textmetadata
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.