2022, Volume 15, Issue 12, pp 1511 – 1520

The informativeness of the Johns-matrix image of laser autofluorescence in blood plasma films for early diagnosis of endometriosis associated with infertility

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Authors and Affiliations

Corresponding Author: Oksana Valerianivna Bakun, Obstetrics and Gynecology Department, Bukovinian State Medical University, Chernivtsi, Ukraine. E-mail: kupchanko06@gmail.com

Abstract

We used Jones-matrix images of protein networks of blood plasma films obtained from laser autofluorescence and determined the sensitivity, specificity, accuracy, and prognostication of positive and negative results. Our study aimed (1) to develop and substantiate new approaches for the diagnosis of endometriosis by improving the methods of Jones-matrix mapping of laser-induced auto-fluorescence and (2) to develop statistical approaches for analyzing the distribution of values of the true component of Jones-matrix images of blood plasma. Biological preparations were performed for two groups: 35 samples from control group 1 (women with infertility of unknown origin) and 85 samples from group 2 with endometriosis (women with infertility and endometriosis). The strength of the Jones-matrix method of autofluorescence mapping of plasma proteins taken from both groups was maximal for the decisions determined based on the calculation of the statistical moment of the 4th order, for statistical moment Z4, characterizing the sharpness of the peak distribution of the polycrystalline component of the plasma film. Comparison with the similar informative data of the Jones-matrix laser autofluorescence method of histological sections of the endometrial biopsy under conditions of blind endometriosis diagnosis revealed this method of analysis highly informative. Therefore, this technique can be used in screening studies to form a risk group.

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About this article

PMC ID: 9884343
PubMed ID: 36762322
DOI: 10.25122/jml-2022-0185

Article Publishing Date (print): 12 2022
Available Online: 

Journal information

ISSN Printing: 1844-122X
ISSN Online: 1844-3117
Journal Title: Journal of Medicine and Life

Copyright License: Open Access

This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use and redistribution provided that the original author and source are credited.


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