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Nomogram based on the O-RADS for predicting the malignancy risk of adnexal masses with complex ultrasound morphology

OBJECTIVE: The accurate preoperative differentiation of benign and malignant adnexal masses, especially those with complex ultrasound morphology, remains a great challenge for junior sonographers. The purpose of this study was to develop and validate a nomogram based on the Ovarian-Adnexal Reporting...

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Autores principales: Gong, Li-Ping, Li, Xiao-Ying, Wu, Ying-Nan, Dong, Shuang, Zhang, Shuang, Feng, Ya-Nan, Lv, Ya-Er, Guo, Xi-Juan, Peng, Yan-Qing, Du, Xiao-Shan, Tian, Jia-Wei, Sun, Cong-Xin, Sun, Li-Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029304/
https://www.ncbi.nlm.nih.gov/pubmed/36945000
http://dx.doi.org/10.1186/s13048-023-01133-1
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author Gong, Li-Ping
Li, Xiao-Ying
Wu, Ying-Nan
Dong, Shuang
Zhang, Shuang
Feng, Ya-Nan
Lv, Ya-Er
Guo, Xi-Juan
Peng, Yan-Qing
Du, Xiao-Shan
Tian, Jia-Wei
Sun, Cong-Xin
Sun, Li-Tao
author_facet Gong, Li-Ping
Li, Xiao-Ying
Wu, Ying-Nan
Dong, Shuang
Zhang, Shuang
Feng, Ya-Nan
Lv, Ya-Er
Guo, Xi-Juan
Peng, Yan-Qing
Du, Xiao-Shan
Tian, Jia-Wei
Sun, Cong-Xin
Sun, Li-Tao
author_sort Gong, Li-Ping
collection PubMed
description OBJECTIVE: The accurate preoperative differentiation of benign and malignant adnexal masses, especially those with complex ultrasound morphology, remains a great challenge for junior sonographers. The purpose of this study was to develop and validate a nomogram based on the Ovarian-Adnexal Reporting and Data System (O-RADS) for predicting the malignancy risk of adnexal masses with complex ultrasound morphology. METHODS: A total of 243 patients with data on adnexal masses with complex ultrasound morphology from January 2019 to December 2020 were selected to establish the training cohort, while 106 patients with data from January 2021 to December 2021 served as the validation cohort. Univariate and multivariate analyses were used to determine independent risk factors for malignant tumors in the training cohort. Subsequently, a predictive nomogram model was developed and validated in the validation cohort. The calibration, discrimination, and clinical net benefit of the nomogram model were assessed separately by calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). Finally, we compared this model to the O-RADS. RESULTS: The O-RADS category, an elevated CA125 level, acoustic shadowing and a papillary projection with color Doppler flow were the independent predictors and were incorporated into the nomogram model. The area under the ROC curve (AUC) of the nomogram model was 0.958 (95% CI, 0.932–0.984) in the training cohort. The specificity and sensitivity were 0.939 and 0.893, respectively. This nomogram also showed good discrimination in the validation cohort (AUC = 0.940, 95% CI, 0.899–0.981), with a sensitivity of 0.915 and specificity of 0.797. In addition, the nomogram model showed good calibration efficiency in both the training and validation cohorts. DCA indicated that the nomogram was clinically useful. Furthermore, the nomogram model had higher AUC and net benefit than the O-RADS. CONCLUSION: The nomogram based on the O-RADS showed a good predictive ability for the malignancy risk of adnexal masses with complex ultrasound morphology and could provide help for junior sonographers.
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spelling pubmed-100293042023-03-22 Nomogram based on the O-RADS for predicting the malignancy risk of adnexal masses with complex ultrasound morphology Gong, Li-Ping Li, Xiao-Ying Wu, Ying-Nan Dong, Shuang Zhang, Shuang Feng, Ya-Nan Lv, Ya-Er Guo, Xi-Juan Peng, Yan-Qing Du, Xiao-Shan Tian, Jia-Wei Sun, Cong-Xin Sun, Li-Tao J Ovarian Res Research OBJECTIVE: The accurate preoperative differentiation of benign and malignant adnexal masses, especially those with complex ultrasound morphology, remains a great challenge for junior sonographers. The purpose of this study was to develop and validate a nomogram based on the Ovarian-Adnexal Reporting and Data System (O-RADS) for predicting the malignancy risk of adnexal masses with complex ultrasound morphology. METHODS: A total of 243 patients with data on adnexal masses with complex ultrasound morphology from January 2019 to December 2020 were selected to establish the training cohort, while 106 patients with data from January 2021 to December 2021 served as the validation cohort. Univariate and multivariate analyses were used to determine independent risk factors for malignant tumors in the training cohort. Subsequently, a predictive nomogram model was developed and validated in the validation cohort. The calibration, discrimination, and clinical net benefit of the nomogram model were assessed separately by calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). Finally, we compared this model to the O-RADS. RESULTS: The O-RADS category, an elevated CA125 level, acoustic shadowing and a papillary projection with color Doppler flow were the independent predictors and were incorporated into the nomogram model. The area under the ROC curve (AUC) of the nomogram model was 0.958 (95% CI, 0.932–0.984) in the training cohort. The specificity and sensitivity were 0.939 and 0.893, respectively. This nomogram also showed good discrimination in the validation cohort (AUC = 0.940, 95% CI, 0.899–0.981), with a sensitivity of 0.915 and specificity of 0.797. In addition, the nomogram model showed good calibration efficiency in both the training and validation cohorts. DCA indicated that the nomogram was clinically useful. Furthermore, the nomogram model had higher AUC and net benefit than the O-RADS. CONCLUSION: The nomogram based on the O-RADS showed a good predictive ability for the malignancy risk of adnexal masses with complex ultrasound morphology and could provide help for junior sonographers. BioMed Central 2023-03-21 /pmc/articles/PMC10029304/ /pubmed/36945000 http://dx.doi.org/10.1186/s13048-023-01133-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Gong, Li-Ping
Li, Xiao-Ying
Wu, Ying-Nan
Dong, Shuang
Zhang, Shuang
Feng, Ya-Nan
Lv, Ya-Er
Guo, Xi-Juan
Peng, Yan-Qing
Du, Xiao-Shan
Tian, Jia-Wei
Sun, Cong-Xin
Sun, Li-Tao
Nomogram based on the O-RADS for predicting the malignancy risk of adnexal masses with complex ultrasound morphology
title Nomogram based on the O-RADS for predicting the malignancy risk of adnexal masses with complex ultrasound morphology
title_full Nomogram based on the O-RADS for predicting the malignancy risk of adnexal masses with complex ultrasound morphology
title_fullStr Nomogram based on the O-RADS for predicting the malignancy risk of adnexal masses with complex ultrasound morphology
title_full_unstemmed Nomogram based on the O-RADS for predicting the malignancy risk of adnexal masses with complex ultrasound morphology
title_short Nomogram based on the O-RADS for predicting the malignancy risk of adnexal masses with complex ultrasound morphology
title_sort nomogram based on the o-rads for predicting the malignancy risk of adnexal masses with complex ultrasound morphology
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029304/
https://www.ncbi.nlm.nih.gov/pubmed/36945000
http://dx.doi.org/10.1186/s13048-023-01133-1
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