Evidence map›Paper›PMID 32323509›Full record

ArticleJournal of biomedical optics2020

Reliability assessment for blood oxygen saturation levels measured with optoacoustic imaging.

Leonie Ulrich, Kai Gerrit Held, Michael Jaeger, Martin Frenz, Hidayet Günhan Akarçay

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Leonie UlrichUniversity of Bern, Institute of Applied Physics, Biomedical Photonics, Bern, Switzerland.
Kai Gerrit HeldUniversity of Bern, Institute of Applied Physics, Biomedical Photonics, Bern, Switzerland.
Michael JaegerUniversity of Bern, Institute of Applied Physics, Biomedical Photonics, Bern, Switzerland.
Martin FrenzUniversity of Bern, Institute of Applied Physics, Biomedical Photonics, Bern, Switzerland.
Hidayet Günhan AkarçayUniversity of Bern, Institute of Applied Physics, Biomedical Photonics, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

significanceQuantitative optoacoustic (OA) imaging has the potential to provide blood oxygen saturation (SO2) estimates due to the proportionality between the measured signal and the blood's absorption coefficient. However, due to the wavelength-dependent attenuation of light in tissue, a spectral correction of the OA signals is required, and a prime challenge is the validation of both the optical characterization of the tissue and the SO2.

aimWe propose to assess the reliability of SO2 levels retrieved from spectral fitting by measuring the similarity of OA spectra to the fitted blood absorption spectra. APPROACH: We introduce a metric that quantifies the trends of blood spectra by assigning a pair of spectral slopes to each spectrum. The applicability of the metric is illustrated with in vivo measurements on a human forearm.

resultsWe show that physiologically sound SO2 values do not necessarily imply a successful spectral correction and demonstrate how the metric can be used to distinguish SO2 values that are trustworthy from unreliable ones.

conclusionsThe metric is independent of the methods used for the OA data acquisition, image reconstruction, and spectral correction, thus it can be readily combined with existing approaches, in order to monitor the accuracy of quantitative OA imaging.

Indexed as

Image Processing, Computer-AssistedOximetryDiagnostic ImagingHumansOxygenReproducibility of ResultsOxygengoodness of fitmetricquantitative optoacoustic imagingspectral correctionspectral fit

Identifiers

PMID32323509
PMCPMC7175414

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.