Cargando…

Evaluation of menopausal endometrial lesions via mathematical modeling clinical indicators and ultrasonographic parameters

BACKGROUND: The diagnosis of benign and malignant menopausal endometrial lesions (MEL) is often misled by complicated clinical indicators and ultrasonographic parameters in actual clinical applications. OBJECTIVE: To investigate the performance of clinical indicators and ultrasonographic parameters...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Yamei, Tang, Lei, Chen, Qiao, Chen, Man
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028664/
https://www.ncbi.nlm.nih.gov/pubmed/35124627
http://dx.doi.org/10.3233/THC-228049
_version_ 1784691677941727232
author Zhu, Yamei
Tang, Lei
Chen, Qiao
Chen, Man
author_facet Zhu, Yamei
Tang, Lei
Chen, Qiao
Chen, Man
author_sort Zhu, Yamei
collection PubMed
description BACKGROUND: The diagnosis of benign and malignant menopausal endometrial lesions (MEL) is often misled by complicated clinical indicators and ultrasonographic parameters in actual clinical applications. OBJECTIVE: To investigate the performance of clinical indicators and ultrasonographic parameters in the diagnosis of MEL. METHODS: A cohort of 156 enrolled menopausal patients with MEL was divided into benign group (128 cases) and malignant group (28 cases). Two clinical indicators of patient age (PA), abnormal vaginal bleeding (AVB) and three transvaginal ultrasonography (TVS) parameters of endometrial thickness (ET), endometrial uneven echo (EUE) and endometrial blood flow signal (EBFS) were measured for the mathematical modelling. The performance of combined indicators and individual indicators were firstly compared, and then the optimized combined indicators was compared with corresponding individual indicators, respectively. RESULTS: Our experiments verified that the mathematical modelling presented robust capabilities in the diagnosis of MEL with the sensitivity, specificity and AUC of 78.6%, 75.8% and 0.83 for combined indicators, and 75.0%, 81.3% and 0.85 for optimized combined indicators, respectively. The cut off thresholds of PA was 57.5 years, ET was 11.5 mm. Furthermore, the AVB presented the most important risk factor among the optimized indicators of PA, ET and AVB ([Formula: see text] 0.05). CONCLUSIONS: The combined indicators presented better performance in differentiating benign and malignant MEL and the AVB demonstrated the most capability for clinical applications.
format Online
Article
Text
id pubmed-9028664
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher IOS Press
record_format MEDLINE/PubMed
spelling pubmed-90286642022-05-06 Evaluation of menopausal endometrial lesions via mathematical modeling clinical indicators and ultrasonographic parameters Zhu, Yamei Tang, Lei Chen, Qiao Chen, Man Technol Health Care Research Article BACKGROUND: The diagnosis of benign and malignant menopausal endometrial lesions (MEL) is often misled by complicated clinical indicators and ultrasonographic parameters in actual clinical applications. OBJECTIVE: To investigate the performance of clinical indicators and ultrasonographic parameters in the diagnosis of MEL. METHODS: A cohort of 156 enrolled menopausal patients with MEL was divided into benign group (128 cases) and malignant group (28 cases). Two clinical indicators of patient age (PA), abnormal vaginal bleeding (AVB) and three transvaginal ultrasonography (TVS) parameters of endometrial thickness (ET), endometrial uneven echo (EUE) and endometrial blood flow signal (EBFS) were measured for the mathematical modelling. The performance of combined indicators and individual indicators were firstly compared, and then the optimized combined indicators was compared with corresponding individual indicators, respectively. RESULTS: Our experiments verified that the mathematical modelling presented robust capabilities in the diagnosis of MEL with the sensitivity, specificity and AUC of 78.6%, 75.8% and 0.83 for combined indicators, and 75.0%, 81.3% and 0.85 for optimized combined indicators, respectively. The cut off thresholds of PA was 57.5 years, ET was 11.5 mm. Furthermore, the AVB presented the most important risk factor among the optimized indicators of PA, ET and AVB ([Formula: see text] 0.05). CONCLUSIONS: The combined indicators presented better performance in differentiating benign and malignant MEL and the AVB demonstrated the most capability for clinical applications. IOS Press 2022-02-25 /pmc/articles/PMC9028664/ /pubmed/35124627 http://dx.doi.org/10.3233/THC-228049 Text en © 2022 – The authors. Published by IOS Press. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhu, Yamei
Tang, Lei
Chen, Qiao
Chen, Man
Evaluation of menopausal endometrial lesions via mathematical modeling clinical indicators and ultrasonographic parameters
title Evaluation of menopausal endometrial lesions via mathematical modeling clinical indicators and ultrasonographic parameters
title_full Evaluation of menopausal endometrial lesions via mathematical modeling clinical indicators and ultrasonographic parameters
title_fullStr Evaluation of menopausal endometrial lesions via mathematical modeling clinical indicators and ultrasonographic parameters
title_full_unstemmed Evaluation of menopausal endometrial lesions via mathematical modeling clinical indicators and ultrasonographic parameters
title_short Evaluation of menopausal endometrial lesions via mathematical modeling clinical indicators and ultrasonographic parameters
title_sort evaluation of menopausal endometrial lesions via mathematical modeling clinical indicators and ultrasonographic parameters
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028664/
https://www.ncbi.nlm.nih.gov/pubmed/35124627
http://dx.doi.org/10.3233/THC-228049
work_keys_str_mv AT zhuyamei evaluationofmenopausalendometriallesionsviamathematicalmodelingclinicalindicatorsandultrasonographicparameters
AT tanglei evaluationofmenopausalendometriallesionsviamathematicalmodelingclinicalindicatorsandultrasonographicparameters
AT chenqiao evaluationofmenopausalendometriallesionsviamathematicalmodelingclinicalindicatorsandultrasonographicparameters
AT chenman evaluationofmenopausalendometriallesionsviamathematicalmodelingclinicalindicatorsandultrasonographicparameters