Evidence map›Paper›PMID 37425430›Full record

ArticleJournal of biomedical optics2023

Mueller-matrix imaging polarimetry elevated by wavelet decomposition and polarization-singular processing for analysis of specific cancerous tissue pathology.

Anton Sdobnov, Volodymir A Ushenko, Liliya Trifonyuk, Oksana Bakun, Marta Garazdyuk, Irina V Soltys, Olexander Dubolazov, Olexander G Ushenko, Yuriy A Ushenko, Alexander Bykov and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 24 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

11 authors at 4 institutions in 4 countries.

Anton SdobnovUniversity of Oulu, Opto-Electronics and Measurement Techniques, Oulu, Finland.ORCID 0000-0001-7282-7179
Volodymir A UshenkoChernivtsi National University, Optics and Publishing Department, Chernivtsi, Ukraine.ORCID 0000-0003-1767-1882
Liliya TrifonyukRivne State Medical Center, Rivne, Ukraine.
Oksana BakunChernivtsi National University, Optics and Publishing Department, Chernivtsi, Ukraine.
Marta GarazdyukChernivtsi National University, Optics and Publishing Department, Chernivtsi, Ukraine.ORCID 0000-0002-7811-3211
Irina V SoltysChernivtsi National University, Optics and Publishing Department, Chernivtsi, Ukraine.
Olexander DubolazovChernivtsi National University, Optics and Publishing Department, Chernivtsi, Ukraine.
Olexander G UshenkoChernivtsi National University, Optics and Publishing Department, Chernivtsi, Ukraine.
Yuriy A UshenkoChernivtsi National University, Optics and Publishing Department, Chernivtsi, Ukraine.ORCID 0000-0003-1767-1882
Alexander BykovUniversity of Oulu, Opto-Electronics and Measurement Techniques, Oulu, Finland.ORCID 0000-0002-6228-6775
Igor MeglinskiUniversity of Oulu, Opto-Electronics and Measurement Techniques, Oulu, Finland.ORCID 0000-0002-7613-8191
Chernivtsi National University · UAUniversity of Oulu · FIAston University · GBRivne State University of Humanities · UA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Mueller-matrix polarimetry is a powerful method allowing for the visualization of malformations in biological tissues and quantitative evaluation of alterations associated with the progression of various diseases. This approach, in fact, is limited in observation of spatial localization and scale-selective changes in the poly-crystalline compound of tissue samples. Aim: We aimed to improve the Mueller-matrix polarimetry approach by implementing the wavelet decomposition accompanied with the polarization-singular processing for express differential diagnosis of local changes in the poly-crystalline structure of tissue samples with various pathology. Approach: Mueller-matrix maps obtained experimentally in transmitted mode are processed utilizing a combination of a topological singular polarization approach and scale-selective wavelet analysis for quantitative assessment of the adenoma and carcinoma histological sections of the prostate tissues. Results: A relationship between the characteristic values of the Mueller-matrix elements and singular states of linear and circular polarization is established within the framework of the phase anisotropy phenomenological model in terms of linear birefringence. A robust method for expedited (up to Conclusions: The benign and malignant states of the prostate tissue are identified and assessed quantitatively with a superior accuracy provided by the developed Mueller-matrix polarimetry approach.

Indexed as

NeoplasmsAnisotropyBirefringenceHumansMaleOptical ImagingSpectrum Analysisbirefringencecancerimaging polarimetryMueller-matrixpolarization-singularpolarized lightwavelet decomposition

Identifiers

PMID37425430
PMCPMC10329407
OpenAlexW4383645562

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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.