Evidence map›Paper›PMID 37540721›Full record

ArticlePloS one2023

Photoacoustic and absorption spectroscopy imaging analysis of human blood.

Wei-Yun Tsai, Stephan Breimann, Tsu-Wang Shen, Dmitrij Frishman

Abstract read
In one paragraph

Article in PloS one, 2023. 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

4 authors.

Wei-Yun TsaiDepartment of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technische Universität München, Freising, Germany.ORCID 0000-0002-1418-1733
Stephan BreimannDepartment of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technische Universität München, Freising, Germany.
Tsu-Wang ShenDepartment of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan.
Dmitrij FrishmanDepartment of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technische Universität München, Freising, Germany.ORCID 0000-0002-9006-4707

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoacoustic and absorption spectroscopy imaging are safe and non-invasive molecular quantification techniques, which do not utilize ionizing radiation and allow for repeated probing of samples without them being contaminated or damaged. Here we assessed the potential of these techniques for measuring biochemical parameters. We investigated the statistical association between 31 time and frequency domain features derived from photoacoustic and absorption spectroscopy signals and 19 biochemical blood parameters. We found that photoacoustic and absorption spectroscopy imaging features are significantly correlated with 14 and 17 individual biochemical parameters, respectively. Moreover, some of the biochemical blood parameters can be accurately predicted based on photoacoustic and absorption spectroscopy imaging features by polynomial regression. In particular, the levels of uric acid and albumin can be accurately explained by a combination of photoacoustic and absorption spectroscopy imaging features (adjusted R-squared > 0.75), while creatinine levels can be accurately explained by the features of the photoacoustic system (adjusted R-squared > 0.80). We identified a number of imaging features that inform on the biochemical blood parameters and can be potentially useful in clinical diagnosis. We also demonstrated that linear and non-linear combinations of photoacoustic and absorption spectroscopy imaging features can accurately predict some of the biochemical blood parameters. These results demonstrate that photoacoustic and absorption spectroscopy imaging systems show promise for future applications in clinical practice.

Indexed as

Image Processing, Computer-AssistedPhotoacoustic TechniquesAlbuminsDiagnostic ImagingHumansSpectrum AnalysisAlbumins

Identifiers

PMID37540721
PMCPMC10403132

What OpenQuestion holds

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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.