Evidence map›Paper›PMID 26417498›Full record

ArticleBiomedical optics express2015

NIR light propagation in a digital head model for traumatic brain injury (TBI).

Robert Francis, Bilal Khan, George Alexandrakis, James Florence, Duncan MacFarlane

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Robert FrancisRaytheon, 1601 N Plano Rd, Richardson, TX 75081, USA ; Department of Electrical Engineering, University of Texas Dallas, 800 W Campbell Rd, Richardson, TX 75080, USA.
Bilal KhanDepartment of Electrical Engineering, University of Texas Dallas, 800 W Campbell Rd, Richardson, TX 75080, USA ; Department of Bioengineering, University of Texas Arlington, 500 UTA Boulevard, Arlington, TX 76010, USA.
George AlexandrakisDepartment of Bioengineering, University of Texas Arlington, 500 UTA Boulevard, Arlington, TX 76010, USA.
James FlorenceDepartment of Electrical Engineering, University of Texas Dallas, 800 W Campbell Rd, Richardson, TX 75080, USA.
Duncan MacFarlaneDepartment of Electrical Engineering, University of Texas Dallas, 800 W Campbell Rd, Richardson, TX 75080, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Near infrared spectroscopy (NIRS) is capable of detecting and monitoring acute changes in cerebral blood volume and oxygenation associated with traumatic brain injury (TBI). Wavelength selection, source-detector separation, optode density, and detector sensitivity are key design parameters that determine the imaging depth, chromophore separability, and, ultimately, clinical usefulness of a NIRS instrument. We present simulation results of NIR light propagation in a digital head model as it relates to the ability to detect intracranial hematomas and monitor the peri-hematomal tissue viability. These results inform NIRS instrument design specific to TBI diagnosis and monitoring.

Indexed as

(110.0113) Imaging through turbid media(170.0110) Imaging systems

Identifiers

PMID26417498
PMCPMC4574654

What OpenQuestion holds

Textmetadata
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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.