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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)...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
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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. |
format | Online Article Text |
id | pubmed-8033324 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
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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