Cargando…

Noninvasive Predictor for Premalignant and Cancerous Lesions in Endometrial Polyps Diagnosed by Ultrasound

BACKGROUND: There was no consensus for management of asymptomatic endometrial polyps (EPs) up to date. OBJECTIVE: The aim of present study was to determine the risk factors of malignant lesions in EPs diagnosed by ultrasound and establish a noninvasive predictor to decrease unnecessary hysteroscopy...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Jianying, Rao, Xuan, Lu, Weiguo, Xie, Xing, Wang, Xinyu, Li, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828905/
https://www.ncbi.nlm.nih.gov/pubmed/35155203
http://dx.doi.org/10.3389/fonc.2021.812033
_version_ 1784647946715791360
author Xu, Jianying
Rao, Xuan
Lu, Weiguo
Xie, Xing
Wang, Xinyu
Li, Xiao
author_facet Xu, Jianying
Rao, Xuan
Lu, Weiguo
Xie, Xing
Wang, Xinyu
Li, Xiao
author_sort Xu, Jianying
collection PubMed
description BACKGROUND: There was no consensus for management of asymptomatic endometrial polyps (EPs) up to date. OBJECTIVE: The aim of present study was to determine the risk factors of malignant lesions in EPs diagnosed by ultrasound and establish a noninvasive predictor to decrease unnecessary hysteroscopy for EPs. STUDY DESIGN: We reviewed the records of all consecutive patients who underwent hysteroscopy for EPs in the Women’s Hospital School of Medicine Zhejiang University between January 1, 2001 and December 31, 2018. The patients with histological diagnoses of atypical hyperplasia or cancer were defined as malignancy, while the patients with histological diagnoses of benign lesions were randomly selected as benign group according to the ratio of 1:4 (malignancy:benign), matching by age and year of hospitalization. Logistic regression analysis was used to analyze the clinical parameters for predicting malignancy of EPs. A Chi-squared automatic interaction detection (CHAID) decision tree analysis was performed to find a noninvasive predictor. The sensitivity, specificity, and the receiver operating characteristic curve (ROC) were used for assess the efficacy of the noninvasive predictor. New diagnosed EPs patients received in 2019 were used for verifying the accuracy of the noninvasive predictor. RESULTS: The age in 15,790 cases of benign lesions was significantly younger than that in 230 malignancy cases (41.97 ± 11.53 year vs 53.31 ± 11.61 years, p <0.001). AUB (OR 7.306, 95%CI 4.927–10.835), large EPs (OR 2.595, 95%CI 1.662–4.052), and blood flow signal in EPs (OR 2.690, 95%CI 1.872–3.866) were independent predictive factors of malignancy in all enrolled patients. A noninvasive predictor for malignancy of EPs was established, through combining with AUB, large polyps and blood flow signal. This predictor presented excellent sensitivity and NPV (91.3 and 95.8%), with acceptable specificity and AUC (0.801). Further validation in new diagnosed EPs also suggested excellent sensitivity and reasonable specificity (100 and 58.5%) of the predictor. Factors such as thickened endometrial thickness, menopause shorter than 10 years, hypertension, obesity and nulliparous were also validated as independent predictors of malignancy in different subgroup analysis. CONCLUSIONS: The noninvasive predictor combined with other risk factors from subgroup analysis would be reliable to distinguish the benign lesions from malignancy for EPs diagnosed by ultrasound.
format Online
Article
Text
id pubmed-8828905
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-88289052022-02-11 Noninvasive Predictor for Premalignant and Cancerous Lesions in Endometrial Polyps Diagnosed by Ultrasound Xu, Jianying Rao, Xuan Lu, Weiguo Xie, Xing Wang, Xinyu Li, Xiao Front Oncol Oncology BACKGROUND: There was no consensus for management of asymptomatic endometrial polyps (EPs) up to date. OBJECTIVE: The aim of present study was to determine the risk factors of malignant lesions in EPs diagnosed by ultrasound and establish a noninvasive predictor to decrease unnecessary hysteroscopy for EPs. STUDY DESIGN: We reviewed the records of all consecutive patients who underwent hysteroscopy for EPs in the Women’s Hospital School of Medicine Zhejiang University between January 1, 2001 and December 31, 2018. The patients with histological diagnoses of atypical hyperplasia or cancer were defined as malignancy, while the patients with histological diagnoses of benign lesions were randomly selected as benign group according to the ratio of 1:4 (malignancy:benign), matching by age and year of hospitalization. Logistic regression analysis was used to analyze the clinical parameters for predicting malignancy of EPs. A Chi-squared automatic interaction detection (CHAID) decision tree analysis was performed to find a noninvasive predictor. The sensitivity, specificity, and the receiver operating characteristic curve (ROC) were used for assess the efficacy of the noninvasive predictor. New diagnosed EPs patients received in 2019 were used for verifying the accuracy of the noninvasive predictor. RESULTS: The age in 15,790 cases of benign lesions was significantly younger than that in 230 malignancy cases (41.97 ± 11.53 year vs 53.31 ± 11.61 years, p <0.001). AUB (OR 7.306, 95%CI 4.927–10.835), large EPs (OR 2.595, 95%CI 1.662–4.052), and blood flow signal in EPs (OR 2.690, 95%CI 1.872–3.866) were independent predictive factors of malignancy in all enrolled patients. A noninvasive predictor for malignancy of EPs was established, through combining with AUB, large polyps and blood flow signal. This predictor presented excellent sensitivity and NPV (91.3 and 95.8%), with acceptable specificity and AUC (0.801). Further validation in new diagnosed EPs also suggested excellent sensitivity and reasonable specificity (100 and 58.5%) of the predictor. Factors such as thickened endometrial thickness, menopause shorter than 10 years, hypertension, obesity and nulliparous were also validated as independent predictors of malignancy in different subgroup analysis. CONCLUSIONS: The noninvasive predictor combined with other risk factors from subgroup analysis would be reliable to distinguish the benign lesions from malignancy for EPs diagnosed by ultrasound. Frontiers Media S.A. 2022-01-27 /pmc/articles/PMC8828905/ /pubmed/35155203 http://dx.doi.org/10.3389/fonc.2021.812033 Text en Copyright © 2022 Xu, Rao, Lu, Xie, Wang and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Xu, Jianying
Rao, Xuan
Lu, Weiguo
Xie, Xing
Wang, Xinyu
Li, Xiao
Noninvasive Predictor for Premalignant and Cancerous Lesions in Endometrial Polyps Diagnosed by Ultrasound
title Noninvasive Predictor for Premalignant and Cancerous Lesions in Endometrial Polyps Diagnosed by Ultrasound
title_full Noninvasive Predictor for Premalignant and Cancerous Lesions in Endometrial Polyps Diagnosed by Ultrasound
title_fullStr Noninvasive Predictor for Premalignant and Cancerous Lesions in Endometrial Polyps Diagnosed by Ultrasound
title_full_unstemmed Noninvasive Predictor for Premalignant and Cancerous Lesions in Endometrial Polyps Diagnosed by Ultrasound
title_short Noninvasive Predictor for Premalignant and Cancerous Lesions in Endometrial Polyps Diagnosed by Ultrasound
title_sort noninvasive predictor for premalignant and cancerous lesions in endometrial polyps diagnosed by ultrasound
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828905/
https://www.ncbi.nlm.nih.gov/pubmed/35155203
http://dx.doi.org/10.3389/fonc.2021.812033
work_keys_str_mv AT xujianying noninvasivepredictorforpremalignantandcancerouslesionsinendometrialpolypsdiagnosedbyultrasound
AT raoxuan noninvasivepredictorforpremalignantandcancerouslesionsinendometrialpolypsdiagnosedbyultrasound
AT luweiguo noninvasivepredictorforpremalignantandcancerouslesionsinendometrialpolypsdiagnosedbyultrasound
AT xiexing noninvasivepredictorforpremalignantandcancerouslesionsinendometrialpolypsdiagnosedbyultrasound
AT wangxinyu noninvasivepredictorforpremalignantandcancerouslesionsinendometrialpolypsdiagnosedbyultrasound
AT lixiao noninvasivepredictorforpremalignantandcancerouslesionsinendometrialpolypsdiagnosedbyultrasound