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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2022
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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 |
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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 |
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