Cargando…

ATR-IR Spectroscopy Application to Diagnostic Screening of Advanced Endometriosis

Endometriosis is one of the most common gynecological diseases among young women of reproductive age. Thus far, it has not been possible to define a parameter that is sensitive and specific enough to be a recognized biomarker for diagnosing this disease. Nonspecific symptoms of endometriosis and del...

Descripción completa

Detalles Bibliográficos
Autores principales: Kokot, Izabela, Mazurek, Sylwester, Piwowar, Agnieszka, Szostak, Roman, Jędryka, Marcin, Kratz, Ewa Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192200/
https://www.ncbi.nlm.nih.gov/pubmed/35707272
http://dx.doi.org/10.1155/2022/4777434
_version_ 1784726183059914752
author Kokot, Izabela
Mazurek, Sylwester
Piwowar, Agnieszka
Szostak, Roman
Jędryka, Marcin
Kratz, Ewa Maria
author_facet Kokot, Izabela
Mazurek, Sylwester
Piwowar, Agnieszka
Szostak, Roman
Jędryka, Marcin
Kratz, Ewa Maria
author_sort Kokot, Izabela
collection PubMed
description Endometriosis is one of the most common gynecological diseases among young women of reproductive age. Thus far, it has not been possible to define a parameter that is sensitive and specific enough to be a recognized biomarker for diagnosing this disease. Nonspecific symptoms of endometriosis and delayed diagnosis are impulses for researching noninvasive methods of differentiating endometriosis from other gynecological disorders. We compared three groups of individuals in our research: women with endometriosis (E), patients suffering from other gynecological disorders (nonendometriosis, NE), and healthy women from the control group (C). Partial least squares discriminant analysis (PLS-DA) models were developed based on selected serum biochemical parameters, specific regions of the serum's infrared attenuated total reflectance (FTIR ATR) spectra, and combined data. Incorporating the spectral data into the models significantly improved differentiation among the three groups, with an overall accuracy of 87.5%, 97.3%, and 98.5%, respectively. This study shows that infrared spectroscopy and discriminant analysis can be used to differentiate serum samples among women with advanced endometriosis, women without this disease, i.e., healthy women, and, most importantly, also women with other benign gynecological disorders.
format Online
Article
Text
id pubmed-9192200
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-91922002022-06-14 ATR-IR Spectroscopy Application to Diagnostic Screening of Advanced Endometriosis Kokot, Izabela Mazurek, Sylwester Piwowar, Agnieszka Szostak, Roman Jędryka, Marcin Kratz, Ewa Maria Oxid Med Cell Longev Research Article Endometriosis is one of the most common gynecological diseases among young women of reproductive age. Thus far, it has not been possible to define a parameter that is sensitive and specific enough to be a recognized biomarker for diagnosing this disease. Nonspecific symptoms of endometriosis and delayed diagnosis are impulses for researching noninvasive methods of differentiating endometriosis from other gynecological disorders. We compared three groups of individuals in our research: women with endometriosis (E), patients suffering from other gynecological disorders (nonendometriosis, NE), and healthy women from the control group (C). Partial least squares discriminant analysis (PLS-DA) models were developed based on selected serum biochemical parameters, specific regions of the serum's infrared attenuated total reflectance (FTIR ATR) spectra, and combined data. Incorporating the spectral data into the models significantly improved differentiation among the three groups, with an overall accuracy of 87.5%, 97.3%, and 98.5%, respectively. This study shows that infrared spectroscopy and discriminant analysis can be used to differentiate serum samples among women with advanced endometriosis, women without this disease, i.e., healthy women, and, most importantly, also women with other benign gynecological disorders. Hindawi 2022-06-06 /pmc/articles/PMC9192200/ /pubmed/35707272 http://dx.doi.org/10.1155/2022/4777434 Text en Copyright © 2022 Izabela Kokot et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kokot, Izabela
Mazurek, Sylwester
Piwowar, Agnieszka
Szostak, Roman
Jędryka, Marcin
Kratz, Ewa Maria
ATR-IR Spectroscopy Application to Diagnostic Screening of Advanced Endometriosis
title ATR-IR Spectroscopy Application to Diagnostic Screening of Advanced Endometriosis
title_full ATR-IR Spectroscopy Application to Diagnostic Screening of Advanced Endometriosis
title_fullStr ATR-IR Spectroscopy Application to Diagnostic Screening of Advanced Endometriosis
title_full_unstemmed ATR-IR Spectroscopy Application to Diagnostic Screening of Advanced Endometriosis
title_short ATR-IR Spectroscopy Application to Diagnostic Screening of Advanced Endometriosis
title_sort atr-ir spectroscopy application to diagnostic screening of advanced endometriosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192200/
https://www.ncbi.nlm.nih.gov/pubmed/35707272
http://dx.doi.org/10.1155/2022/4777434
work_keys_str_mv AT kokotizabela atrirspectroscopyapplicationtodiagnosticscreeningofadvancedendometriosis
AT mazureksylwester atrirspectroscopyapplicationtodiagnosticscreeningofadvancedendometriosis
AT piwowaragnieszka atrirspectroscopyapplicationtodiagnosticscreeningofadvancedendometriosis
AT szostakroman atrirspectroscopyapplicationtodiagnosticscreeningofadvancedendometriosis
AT jedrykamarcin atrirspectroscopyapplicationtodiagnosticscreeningofadvancedendometriosis
AT kratzewamaria atrirspectroscopyapplicationtodiagnosticscreeningofadvancedendometriosis