Evidence map›Paper›PMID 30378349›Full record

ArticleJournal of biomedical optics2018

Two-wavelength oximetry of tissue microcirculation based on sidestream dark-field imaging.

Ryohei Hashimoto, Tomohiro Kurata, Masashi Sekine, Kazuya Nakano, Takashi Ohnishi, Hideaki Haneishi

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 15 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

6 authors at 2 institutions in 1 country.

Ryohei HashimotoChiba University, Graduate School of Science and Engineering, Chiba, Japan.
Tomohiro KurataTakano Co., Ltd., Nagano, Japan.
Masashi SekineChiba University, Center for Frontier Medical Engineering, Chiba, Japan.
Kazuya NakanoChiba University, Center for Frontier Medical Engineering, Chiba, Japan.
Takashi OhnishiChiba University, Center for Frontier Medical Engineering, Chiba, Japan.
Hideaki HaneishiChiba University, Center for Frontier Medical Engineering, Chiba, Japan.
Chiba University · JPTakano Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring oxygen saturation (SO2) in microcirculation is effective for understanding disease dynamics. We have developed an SO2 estimation method, sidestream dark-field (SDF) oximetry, based on SDF imaging. SDF imaging is a noninvasive and clinically applicable technique to observe microcirculation. We report the first in vivo experiment observing the changes in SO2 of microcirculation using SDF oximetry. First, heat from the light-emitting diodes used for the SDF imaging might affect hemodynamics in microcirculation, hence, we performed an experiment to evaluate the influence of that on the SDF oximetry. The result suggested that SDF oximetry had enough stability for long-term experiments. Then, to evaluate the sensitivity of SDF oximetry to alterations in the hemodynamics of the microcirculation, we observed the time-lapsed SO2 changes in the dermis microcirculation of rats under hypoxic stimulation. We confirmed that the SO2 estimated by SDF oximetry was in accordance with changes in the fraction of inspired oxygen (FiO2). Thus, SDF oximetry is considered to be able to observe SO2 changes that occur in accordance with alteration of the microcirculation.

Indexed as

AnimalsDermisHypoxiaMicrocirculationMicroscopy, VideoOximetryOxygenRatsOxygenhypoxia, oxygen saturationmicrocirculationoximetrysidestream dark-field imaging

Identifiers

PMID30378349
PMCPMC6975279
OpenAlexW2898845437

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.