ATR‐IR Spectroscopy Application to Diagnostic Screening of Advanced Endometriosis

Izabela Kokot, Sylwester Mazurek, Agnieszka Piwowar, Roman Szostak, Marcin Jędryka, Ewa Maria Kratz
Oxidative medicine and cellular longevity · 2022 · vol. 2022(1) , pp. 4777434 · doi:10.1155/2022/4777434 · PMID:35707272 · W4281971735
article OA: hybrid CC0 ⤵ 6 in-corpus citations
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Abstract

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.

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Condition tags

mesh:D004715endometriosis

MeSH descriptors

Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Spectroscopy, Fourier Transform Infrared Spectroscopy, Fourier Transform Infrared Spectroscopy, Fourier Transform Infrared Spectroscopy, Fourier Transform Infrared Spectroscopy, Fourier Transform Infrared Spectroscopy, Fourier Transform Infrared Spectroscopy, Fourier Transform Infrared Spectroscopy, Fourier Transform Infrared

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