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The diagnostic performance of the Gynecologic Imaging Reporting and Data System (GI-RADS) in adnexal masses

BACKGROUND: Adnexal masses, mostly benign, are common in the female genital system. However, adnexal masses are the leading cause of death among women with gynecologic cancer. Ultrasound is a common imaging method for diagnosing adnexal masses. Gynecologic Imaging Reporting and Data System (GI-RADS)...

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Autores principales: Guo, Wen, Zou, Xiuhe, Xu, Hanyue, Zhang, Tao, Zhao, Yunuo, Gao, Lu, Duan, Wenyue, Ma, Xuelei, Zhang, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8033324/
https://www.ncbi.nlm.nih.gov/pubmed/33842619
http://dx.doi.org/10.21037/atm-20-5170
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author Guo, Wen
Zou, Xiuhe
Xu, Hanyue
Zhang, Tao
Zhao, Yunuo
Gao, Lu
Duan, Wenyue
Ma, Xuelei
Zhang, Ling
author_facet Guo, Wen
Zou, Xiuhe
Xu, Hanyue
Zhang, Tao
Zhao, Yunuo
Gao, Lu
Duan, Wenyue
Ma, Xuelei
Zhang, Ling
author_sort Guo, Wen
collection PubMed
description BACKGROUND: Adnexal masses, mostly benign, are common in the female genital system. However, adnexal masses are the leading cause of death among women with gynecologic cancer. Ultrasound is a common imaging method for diagnosing adnexal masses. Gynecologic Imaging Reporting and Data System (GI-RADS) is a useful diagnostic tool based on objective ultrasound features to diagnose the malignancy of the female genital system. Therefore, we conducted a meta-analysis to evaluate the ability of GI-RADS to differentiate adnexal masses. METHODS: Published articles were searched in PubMed, Medline, and Embase from 1990 to February 2020. Pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio, and area under the curve (AUC) were estimated via the extracted data from the selected studies. RESULTS: Ten studies and 2,474 patients were included in this meta-analysis. The pooled sensitivity of selected studies was 0.95 [95% confidence intervals (CI): 0.94–0.97], and the pooled specificity was 0.86 (95% CI: 0.84–0.88). The pooled NLR and PLR were 0.06 (95% CI: 0.04–0.10), and 8.30 (95% CI: 4.93–13.97), respectively. Moreover, the pooled diagnostic odds ratio for GI-RADS was 174.59 (95% CI: 76.70–397.42), and the AUC was 0.9806. CONCLUSIONS: This research indicates that GI-RADS might be a valuable tool to distinguish malignancies from adnexal masses.
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spelling pubmed-80333242021-04-09 The diagnostic performance of the Gynecologic Imaging Reporting and Data System (GI-RADS) in adnexal masses Guo, Wen Zou, Xiuhe Xu, Hanyue Zhang, Tao Zhao, Yunuo Gao, Lu Duan, Wenyue Ma, Xuelei Zhang, Ling Ann Transl Med Original Article BACKGROUND: Adnexal masses, mostly benign, are common in the female genital system. However, adnexal masses are the leading cause of death among women with gynecologic cancer. Ultrasound is a common imaging method for diagnosing adnexal masses. Gynecologic Imaging Reporting and Data System (GI-RADS) is a useful diagnostic tool based on objective ultrasound features to diagnose the malignancy of the female genital system. Therefore, we conducted a meta-analysis to evaluate the ability of GI-RADS to differentiate adnexal masses. METHODS: Published articles were searched in PubMed, Medline, and Embase from 1990 to February 2020. Pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio, and area under the curve (AUC) were estimated via the extracted data from the selected studies. RESULTS: Ten studies and 2,474 patients were included in this meta-analysis. The pooled sensitivity of selected studies was 0.95 [95% confidence intervals (CI): 0.94–0.97], and the pooled specificity was 0.86 (95% CI: 0.84–0.88). The pooled NLR and PLR were 0.06 (95% CI: 0.04–0.10), and 8.30 (95% CI: 4.93–13.97), respectively. Moreover, the pooled diagnostic odds ratio for GI-RADS was 174.59 (95% CI: 76.70–397.42), and the AUC was 0.9806. CONCLUSIONS: This research indicates that GI-RADS might be a valuable tool to distinguish malignancies from adnexal masses. AME Publishing Company 2021-03 /pmc/articles/PMC8033324/ /pubmed/33842619 http://dx.doi.org/10.21037/atm-20-5170 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Guo, Wen
Zou, Xiuhe
Xu, Hanyue
Zhang, Tao
Zhao, Yunuo
Gao, Lu
Duan, Wenyue
Ma, Xuelei
Zhang, Ling
The diagnostic performance of the Gynecologic Imaging Reporting and Data System (GI-RADS) in adnexal masses
title The diagnostic performance of the Gynecologic Imaging Reporting and Data System (GI-RADS) in adnexal masses
title_full The diagnostic performance of the Gynecologic Imaging Reporting and Data System (GI-RADS) in adnexal masses
title_fullStr The diagnostic performance of the Gynecologic Imaging Reporting and Data System (GI-RADS) in adnexal masses
title_full_unstemmed The diagnostic performance of the Gynecologic Imaging Reporting and Data System (GI-RADS) in adnexal masses
title_short The diagnostic performance of the Gynecologic Imaging Reporting and Data System (GI-RADS) in adnexal masses
title_sort diagnostic performance of the gynecologic imaging reporting and data system (gi-rads) in adnexal masses
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8033324/
https://www.ncbi.nlm.nih.gov/pubmed/33842619
http://dx.doi.org/10.21037/atm-20-5170
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