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Accuracy of Magnetic Resonance Imaging for Identifying Ovarian Cancer in a Community-Based Setting

Introduction: Many ovarian or adnexal masses have an indeterminate appearance on ultrasound that can raise concerns about cancer. Although magnetic resonance imaging (MRI) has been reported to reliably distinguish between benign and malignant masses, studies evaluating the accuracy of MRI in communi...

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Autores principales: Lin, Ruby, Hung, Yun-Yi, Cheng, Julia, Suh-Burgmann, Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812505/
https://www.ncbi.nlm.nih.gov/pubmed/35136876
http://dx.doi.org/10.1089/whr.2021.0106
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author Lin, Ruby
Hung, Yun-Yi
Cheng, Julia
Suh-Burgmann, Elizabeth
author_facet Lin, Ruby
Hung, Yun-Yi
Cheng, Julia
Suh-Burgmann, Elizabeth
author_sort Lin, Ruby
collection PubMed
description Introduction: Many ovarian or adnexal masses have an indeterminate appearance on ultrasound that can raise concerns about cancer. Although magnetic resonance imaging (MRI) has been reported to reliably distinguish between benign and malignant masses, studies evaluating the accuracy of MRI in community-based practice settings are lacking. Methods: Women who underwent MRI to further evaluate an ultrasound-detected adnexal mass in 2016–2017 within a large community-based health system were identified. MRI reports were classified as favoring malignancy, benign disease, or indeterminate, blinded to pathological outcome. With a minimum of 2 years of follow-up, all ovarian cancers and borderline tumors were identified, and the accuracy of MRI assessment was determined. Results: Among 338 women who had MRI to evaluate an adnexal mass, 144 (42.6%) subsequently underwent surgery. MRI favored malignancy in 7 (4.9%) cases, benign disease in 89 (62.2%) cases, and was indeterminate in 48 (33.6%) cases. Of the seven cases in which MRI favored malignancy, two cancers and five benign tumors were found. An additional 10 cases of cancer or borderline tumor were found among women who had MRI reports that were read as indeterminate (n = 6) or that favored benign disease (n = 4). The sensitivity, specificity, positive predictive value, and negative predictive value of an MRI favoring malignancy were 16.7%, 96.2%, 28.5%, and 92.7%, respectively. Discussion: In a large community-based setting, an MRI favoring malignancy was more likely to be associated with benign disease than cancer and identified only 16.7% of true malignant cases. The findings suggest that the ability of MRI to differentiate between benign and malignant adnexal masses in community-based practice settings is currently limited.
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spelling pubmed-88125052022-02-07 Accuracy of Magnetic Resonance Imaging for Identifying Ovarian Cancer in a Community-Based Setting Lin, Ruby Hung, Yun-Yi Cheng, Julia Suh-Burgmann, Elizabeth Womens Health Rep (New Rochelle) Original Article Introduction: Many ovarian or adnexal masses have an indeterminate appearance on ultrasound that can raise concerns about cancer. Although magnetic resonance imaging (MRI) has been reported to reliably distinguish between benign and malignant masses, studies evaluating the accuracy of MRI in community-based practice settings are lacking. Methods: Women who underwent MRI to further evaluate an ultrasound-detected adnexal mass in 2016–2017 within a large community-based health system were identified. MRI reports were classified as favoring malignancy, benign disease, or indeterminate, blinded to pathological outcome. With a minimum of 2 years of follow-up, all ovarian cancers and borderline tumors were identified, and the accuracy of MRI assessment was determined. Results: Among 338 women who had MRI to evaluate an adnexal mass, 144 (42.6%) subsequently underwent surgery. MRI favored malignancy in 7 (4.9%) cases, benign disease in 89 (62.2%) cases, and was indeterminate in 48 (33.6%) cases. Of the seven cases in which MRI favored malignancy, two cancers and five benign tumors were found. An additional 10 cases of cancer or borderline tumor were found among women who had MRI reports that were read as indeterminate (n = 6) or that favored benign disease (n = 4). The sensitivity, specificity, positive predictive value, and negative predictive value of an MRI favoring malignancy were 16.7%, 96.2%, 28.5%, and 92.7%, respectively. Discussion: In a large community-based setting, an MRI favoring malignancy was more likely to be associated with benign disease than cancer and identified only 16.7% of true malignant cases. The findings suggest that the ability of MRI to differentiate between benign and malignant adnexal masses in community-based practice settings is currently limited. Mary Ann Liebert, Inc., publishers 2022-01-31 /pmc/articles/PMC8812505/ /pubmed/35136876 http://dx.doi.org/10.1089/whr.2021.0106 Text en © Ruby Lin et al., 2022; Published by Mary Ann Liebert, Inc. https://creativecommons.org/licenses/by/4.0/This Open Access article is distributed under the terms of the Creative Commons License [CC-BY] (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lin, Ruby
Hung, Yun-Yi
Cheng, Julia
Suh-Burgmann, Elizabeth
Accuracy of Magnetic Resonance Imaging for Identifying Ovarian Cancer in a Community-Based Setting
title Accuracy of Magnetic Resonance Imaging for Identifying Ovarian Cancer in a Community-Based Setting
title_full Accuracy of Magnetic Resonance Imaging for Identifying Ovarian Cancer in a Community-Based Setting
title_fullStr Accuracy of Magnetic Resonance Imaging for Identifying Ovarian Cancer in a Community-Based Setting
title_full_unstemmed Accuracy of Magnetic Resonance Imaging for Identifying Ovarian Cancer in a Community-Based Setting
title_short Accuracy of Magnetic Resonance Imaging for Identifying Ovarian Cancer in a Community-Based Setting
title_sort accuracy of magnetic resonance imaging for identifying ovarian cancer in a community-based setting
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812505/
https://www.ncbi.nlm.nih.gov/pubmed/35136876
http://dx.doi.org/10.1089/whr.2021.0106
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