Evidence map›Paper›PMID 36704720›Full record

ArticleNeurophotonics2023

Diffuse correlation spectroscopy: current status and future outlook.

Stefan A Carp, Mitchell B Robinson, Maria A Franceschini

Abstract read
In one paragraph

Article in Neurophotonics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
–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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

3 authors.

Stefan A CarpMassachusetts General Hospital, Harvard Medical School, Optics at Martinos Research Group, Charlestown, Massachusetts, United States.ORCID https://orcid.org/0000-0003-4617-3233
Mitchell B RobinsonMassachusetts General Hospital, Harvard Medical School, Optics at Martinos Research Group, Charlestown, Massachusetts, United States.ORCID https://orcid.org/0000-0001-5810-0459
Maria A FranceschiniMassachusetts General Hospital, Harvard Medical School, Optics at Martinos Research Group, Charlestown, Massachusetts, United States.

Funding

Time-Gated Diffuse Correlation Spectroscopy for functional imaging of the human brainU01EB028660 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI FRANCESCHINI, MARIA ANGELA · 2019 to 2023
$6.4M
Non-invasive monitoring of brain health during cardio-pulmonary bypassR01NS100750 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CARP, STEFAN ALEXANDRU · 2018 to 2022
$2.9M
Highly parallel long wavelength heterodyne diffuse correlation spectroscopy for brain functional imagingR01EB033202 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI CARP, STEFAN ALEXANDRU · 2022 to 2022
$858k
NIBIB NIH HHS R01 EB033202NIBIB NIH HHS U01 EB028660NINDS NIH HHS R01 NS100750
6 · The paper itself

Abstract

Diffuse correlation spectroscopy (DCS) has emerged as a versatile, noninvasive method for deep tissue perfusion assessment using near-infrared light. A broad class of applications is being pursued in neuromonitoring and beyond. However, technical limitations of the technology as originally implemented remain as barriers to wider adoption. A wide variety of approaches to improve measurement performance and reduce cost are being explored; these include interferometric methods, camera-based multispeckle detection, and long path photon selection for improved depth sensitivity. We review here the current status of DCS technology and summarize future development directions and the challenges that remain on the path to widespread adoption.

Indexed as

blood flowdiffuse correlation spectroscopyinterferometric detectionmultispeckle detectionnear-infraredpathlength-resolved detection

Identifiers

PMID36704720
PMCPMC9871606

What OpenQuestion 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 OpenQuestion graph.