Evidence mapPaperPMID 41305178Full record

ArticleSensors (Basel, Switzerland)2025

Near-Infrared Spectroscopy for Oedema Quantification: An Ex Vivo Porcine Skin Model.

Mariana Castro-Montano, Meha Qassem, Panayiotis A Kyriacou

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mariana Castro-MontanoResearch Centre for Biomedical Engineering, City St George's, University of London, London EC1V 0HB, UK.ORCID 0009-0009-0637-7961
Meha QassemResearch Centre for Biomedical Engineering, City St George's, University of London, London EC1V 0HB, UK.ORCID 0000-0003-0730-3189
Panayiotis A KyriacouResearch Centre for Biomedical Engineering, City St George's, University of London, London EC1V 0HB, UK.ORCID 0000-0002-2868-485X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oedema is a common clinical finding in critically ill neonates and may reflect systemic illness such as congestive heart failure, hepatic cirrhosis, nephrotic syndrome, sepsis, and acute kidney injury. Oedema is characterised by tissue swelling due to water accumulation in the interstitial space. Currently, the gold standard in clinical practice is visual assessment, which is subjective and limited in accuracy. Alternative methods, such as ultrasound and bioimpedance, have been explored; however, they are unsuitable in neonates and do not provide direct water quantification. Near-infrared spectroscopy (NIRS) is a non-invasive optical method that could measure water content through light interaction between near-infrared light and OH particles within the tissue. This study validated NIRS for oedema assessment using an ex vivo porcine skin model, where controlled oedema was induced by phosphate-buffered saline (PBS) injection. Continuous spectroscopic data were collected via optical fibres positioned perpendicularly and parallel to the tissue. Regression models were developed and evaluated using the spectral data, with partial least squares (PLS) regression outperforming ridge regression (RR) and support vector regression (SVR). Notably, spectra acquired in the parallel configuration yielded superior results (R

Indexed as

EdemaSkinAnimalsDisease Models, AnimalLeast-Squares AnalysisSpectroscopy, Near-InfraredSwinenear-infrared spectroscopyoedema monitoringPLS

Identifiers

PMID41305178
PMCPMC12656001

What Socratic 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 Socratic graph.