Evidence map›Paper›PMID 39372121›Full record

ArticleNeurophotonics2024

All-optics technique for monitoring absolute cerebral blood flow: validation against magnetic resonance imaging perfusion.

Leena N Shoemaker, Saeed Samaei, Graham Deller, Danny J J Wang, Daniel Milej, Keith St Lawrence

Abstract read
In one paragraph

Article in Neurophotonics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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.

Leena N ShoemakerWestern University, Department of Medical Biophysics, London, Ontario, Canada.ORCID https://orcid.org/0000-0003-3924-0717
Saeed SamaeiWestern University, Department of Medical Biophysics, London, Ontario, Canada.ORCID https://orcid.org/0000-0001-9399-1840
Graham DellerWestern University, Department of Medical Biophysics, London, Ontario, Canada.
Danny J J WangUniversity of Southern California, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, Laboratory of fMRI Technology, Los Angeles, California, United States.ORCID https://orcid.org/0000-0002-0840-7062
Daniel MilejWestern University, Department of Medical Biophysics, London, Ontario, Canada.ORCID https://orcid.org/0000-0003-3173-0834
Keith St LawrenceWestern University, Department of Medical Biophysics, London, Ontario, Canada.ORCID https://orcid.org/0000-0001-8022-8205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: The ability to monitor cerebral blood flow (CBF) at the bedside is essential to managing critical-care patients with neurological emergencies. Diffuse correlation spectroscopy (DCS) is ideal because it is non-invasive, portable, and inexpensive. We investigated a near-infrared spectroscopy (NIRS) approach for converting DCS measurements into physiological units of blood flow. Aim: Using magnetic resonance imaging perfusion as a reference, we investigated the accuracy of absolute CBF measurements from a bolus-tracking NIRS method that used transient hypoxia as a flow tracer and hypercapnia-induced increases in CBF measured by DCS. Approach: Twelve participants (7 female, Results: Moderately strong correlations at baseline ( Conclusions: Results demonstrated the feasibility of an all-optics approach that can both quantify CBF and perform continuous perfusion monitoring.

Indexed as

arterial spin labelingcerebral blood flowdiffuse correlation spectroscopyhypercapniahypoxianear-infrared spectroscopy

Identifiers

PMID39372121
PMCPMC11448701

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.