Surface-enhanced Raman spectroscopy in women with benign and malignant endometrial diseases

Author:

Zuev Vladimir M.ORCID,Lystsev Dmitrii V.ORCID,Artem’ev Dmitrii N.ORCID,Bratchenko Lyudmila A.,Kukushkin Vladimir I.ORCID,Fedorova Tat’yana A.ORCID,Bystrykh Oksana A.,Ishchenko Anton A.ORCID,Gilyadova Aida V.ORCID

Abstract

Background. This study aimed to enhance early detection of endometrial cancer in women and distinguish benign conditions from endometrial cancer using surface-enhanced Raman scattering (SERS) analysis of blood plasma, thus increasing diagnostic efficacy. Materials and methods. The study of blood plasma from 95 female patients aged 22–79 years was performed. The patients were divided into four groups: group 1 included 29 women with endometrial adenocarcinoma, group 2 included 31 patients with endometrial polyp, group 3 included 10 women with endometrial hyperplasia, and the comparison group consisted of 25 healthy women. Blood plasma was analyzed via SERS, with three Raman spectra recorded per sample. Spectral measurements of the SERS substrate were assessed using dried samples on an experimental bench equipped with the spectrometric system RL785 (LLC “Foton-Bio”, Russia), incorporating a CCD detector, laser radiation source with a wavelength of 785 nm, and ADF U300 microscope (ADF, China). A silver substrate composed of dried silver colloid was used to demonstrate the enhancement effect on the Raman signal from the surface of the blood plasma. Results. Spectral and specific features that distinguish adenocarcinoma, polyps, and endometrial hyperplasia were identified and evaluated. Spectral and quantitative differences specific to each condition, which are crucial for the differential diagnosis of pathologic tissues, were also identified. The accuracy rates of the optical diagnostics in distinguishing endometrial adenocarcinoma from the control group and endometrial hyperplasia were 87% and 85%, respectively, for the calibration and verification spectral sets (where the sensitivity and specificity were 66% and 92% for the spectral verification set, respectively). The accuracy rates of distinguishing control from endometrial hyperplasia and endometrial adenocarcinoma were 86% and 85%, respectively, and the accuracy of distinguishing endometrial hyperplasia from control and endometrial adenocarcinoma was 81% for the calibration and verification sets of spectra. In addition, the study demonstrated improved accuracy in differentiating adenocarcinoma from hyperplasia, including polyps. The accuracy rate was 93% in the calibration set of spectra, with sensitivity and specificity of 96% and 90%, whereas in the validation set, it was 91%, with sensitivity and specificity of 93% and 88%, respectively. Conclusions. The study demonstrated the potential use of SERS for differentiating expression patterns in endometrial cancer from those in benign conditions.

Publisher

ECO-Vector LLC

Reference33 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3