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The power of the Risk of Ovarian Malignancy Algorithm considering menopausal status: a comparison with CA 125 and HE4
OBJECTIVE: To identify the power of tumor markers for predicting ovarian cancer according to menopausal status. METHODS: The medical records of 876 women with ovarian cysts were retrospectively reviewed. Cancer antigen 125 (CA 125), human epididymis protein 4 (HE4), and Risk of Ovarian Malignancy Al...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779620/ https://www.ncbi.nlm.nih.gov/pubmed/31576682 http://dx.doi.org/10.3802/jgo.2019.30.e83 |
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author | Han, Kyung Hee Park, Noh Hyun Kim, Jin Ju Kim, Sunmie Kim, Hee Seung Lee, Maria Song, Yong Sang |
author_facet | Han, Kyung Hee Park, Noh Hyun Kim, Jin Ju Kim, Sunmie Kim, Hee Seung Lee, Maria Song, Yong Sang |
author_sort | Han, Kyung Hee |
collection | PubMed |
description | OBJECTIVE: To identify the power of tumor markers for predicting ovarian cancer according to menopausal status. METHODS: The medical records of 876 women with ovarian cysts were retrospectively reviewed. Cancer antigen 125 (CA 125), human epididymis protein 4 (HE4), and Risk of Ovarian Malignancy Algorithm (ROMA) were analyzed. Sensitivity, specificity, and the receiver operating characteristic (ROC) curve analyses of these tumor markers were evaluated. RESULTS: The sensitivity of ROMA was 66.7% and the specificity was 86.8% to detect ovarian malignancy. The patients were divided into 2 groups according to menopausal status: premenopause (n=532, 60.7%) and postmenopause (n=344, 39.3%). For diagnostic accuracy, ROMA was lower than HE4 in premenopausal women (82.7% vs. 91.4%) and lower than CA 125 in postmenopausal women (86.9% vs. 88.7%). The ROC curve analysis revealed that the power of ROMA was not significantly better than that of HE4 in premenopausal women (area under the curve [AUC], 0.731 vs. 0.732, p=0.832), and it was also not significantly better than that of CA 125 in postmenopausal women (AUC, 0.871 vs. 0.888, p=0.440). CONCLUSION: The discrimination power of tumor markers for ovarian cancer was different according to menopausal status. In predicting ovarian malignancy, ROMA was neither superior to HE4 in premenopausal women nor superior to CA 125 in postmenopausal women. |
format | Online Article Text |
id | pubmed-6779620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology |
record_format | MEDLINE/PubMed |
spelling | pubmed-67796202019-11-01 The power of the Risk of Ovarian Malignancy Algorithm considering menopausal status: a comparison with CA 125 and HE4 Han, Kyung Hee Park, Noh Hyun Kim, Jin Ju Kim, Sunmie Kim, Hee Seung Lee, Maria Song, Yong Sang J Gynecol Oncol Original Article OBJECTIVE: To identify the power of tumor markers for predicting ovarian cancer according to menopausal status. METHODS: The medical records of 876 women with ovarian cysts were retrospectively reviewed. Cancer antigen 125 (CA 125), human epididymis protein 4 (HE4), and Risk of Ovarian Malignancy Algorithm (ROMA) were analyzed. Sensitivity, specificity, and the receiver operating characteristic (ROC) curve analyses of these tumor markers were evaluated. RESULTS: The sensitivity of ROMA was 66.7% and the specificity was 86.8% to detect ovarian malignancy. The patients were divided into 2 groups according to menopausal status: premenopause (n=532, 60.7%) and postmenopause (n=344, 39.3%). For diagnostic accuracy, ROMA was lower than HE4 in premenopausal women (82.7% vs. 91.4%) and lower than CA 125 in postmenopausal women (86.9% vs. 88.7%). The ROC curve analysis revealed that the power of ROMA was not significantly better than that of HE4 in premenopausal women (area under the curve [AUC], 0.731 vs. 0.732, p=0.832), and it was also not significantly better than that of CA 125 in postmenopausal women (AUC, 0.871 vs. 0.888, p=0.440). CONCLUSION: The discrimination power of tumor markers for ovarian cancer was different according to menopausal status. In predicting ovarian malignancy, ROMA was neither superior to HE4 in premenopausal women nor superior to CA 125 in postmenopausal women. Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology 2019-05-20 /pmc/articles/PMC6779620/ /pubmed/31576682 http://dx.doi.org/10.3802/jgo.2019.30.e83 Text en Copyright © 2019. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Han, Kyung Hee Park, Noh Hyun Kim, Jin Ju Kim, Sunmie Kim, Hee Seung Lee, Maria Song, Yong Sang The power of the Risk of Ovarian Malignancy Algorithm considering menopausal status: a comparison with CA 125 and HE4 |
title | The power of the Risk of Ovarian Malignancy Algorithm considering menopausal status: a comparison with CA 125 and HE4 |
title_full | The power of the Risk of Ovarian Malignancy Algorithm considering menopausal status: a comparison with CA 125 and HE4 |
title_fullStr | The power of the Risk of Ovarian Malignancy Algorithm considering menopausal status: a comparison with CA 125 and HE4 |
title_full_unstemmed | The power of the Risk of Ovarian Malignancy Algorithm considering menopausal status: a comparison with CA 125 and HE4 |
title_short | The power of the Risk of Ovarian Malignancy Algorithm considering menopausal status: a comparison with CA 125 and HE4 |
title_sort | power of the risk of ovarian malignancy algorithm considering menopausal status: a comparison with ca 125 and he4 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779620/ https://www.ncbi.nlm.nih.gov/pubmed/31576682 http://dx.doi.org/10.3802/jgo.2019.30.e83 |
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