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Ultrasonographic ovarian mass scoring system for predicting malignancy in pregnant women with ovarian mass
During routine antenatal ultrasound examinations, an ovarian mass can be found incidentally. In clinical practice, the differential diagnosis between benign and malignant ovarian masses is essential for planning further management. Ultrasound imaging has become the most popular diagnostic tool durin...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Obstetrics and Gynecology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784942/ https://www.ncbi.nlm.nih.gov/pubmed/34902893 http://dx.doi.org/10.5468/ogs.21212 |
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author | Lee, Se Jin Oh, Hye Rim Na, Sunghun Hwang, Han Sung Lee, Seung Mi |
author_facet | Lee, Se Jin Oh, Hye Rim Na, Sunghun Hwang, Han Sung Lee, Seung Mi |
author_sort | Lee, Se Jin |
collection | PubMed |
description | During routine antenatal ultrasound examinations, an ovarian mass can be found incidentally. In clinical practice, the differential diagnosis between benign and malignant ovarian masses is essential for planning further management. Ultrasound imaging has become the most popular diagnostic tool during pregnancy, with the recent development of ultrasonography. In non-pregnant women, several methods have been used to predict malignant ovarian masses before surgery. The International Ovarian Tumor Analysis (IOTA) group reported several scoring systems, such as the IOTA simple rules, IOTA logistic regression models, and IOTA assessment of different NEoplasias in the adneXa. Other researchers have also evaluated the malignancy of ovarian masses before surgery using scoring systems such as the Sassone score, pelvic mass score, DePriest score, Lerner score, and Ovarian-Adnexal Reporting and Data System. These researchers suggested specific features of ovarian masses that can be used for differential diagnosis, including size, proportion of solid tissue, papillary projections, inner wall structure, locules, wall thickness, septa, echogenicity, acoustic shadows, and presence of ascites. Although these factors can also be measured in pregnant women using ultrasound, only a few studies have applied ovarian scoring systems in pregnant women. In this article, we reviewed various scoring systems for predicting malignant tumors of the ovary and determined whether they can be applied to pregnant women. |
format | Online Article Text |
id | pubmed-8784942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Korean Society of Obstetrics and Gynecology |
record_format | MEDLINE/PubMed |
spelling | pubmed-87849422022-02-01 Ultrasonographic ovarian mass scoring system for predicting malignancy in pregnant women with ovarian mass Lee, Se Jin Oh, Hye Rim Na, Sunghun Hwang, Han Sung Lee, Seung Mi Obstet Gynecol Sci Review Article During routine antenatal ultrasound examinations, an ovarian mass can be found incidentally. In clinical practice, the differential diagnosis between benign and malignant ovarian masses is essential for planning further management. Ultrasound imaging has become the most popular diagnostic tool during pregnancy, with the recent development of ultrasonography. In non-pregnant women, several methods have been used to predict malignant ovarian masses before surgery. The International Ovarian Tumor Analysis (IOTA) group reported several scoring systems, such as the IOTA simple rules, IOTA logistic regression models, and IOTA assessment of different NEoplasias in the adneXa. Other researchers have also evaluated the malignancy of ovarian masses before surgery using scoring systems such as the Sassone score, pelvic mass score, DePriest score, Lerner score, and Ovarian-Adnexal Reporting and Data System. These researchers suggested specific features of ovarian masses that can be used for differential diagnosis, including size, proportion of solid tissue, papillary projections, inner wall structure, locules, wall thickness, septa, echogenicity, acoustic shadows, and presence of ascites. Although these factors can also be measured in pregnant women using ultrasound, only a few studies have applied ovarian scoring systems in pregnant women. In this article, we reviewed various scoring systems for predicting malignant tumors of the ovary and determined whether they can be applied to pregnant women. Korean Society of Obstetrics and Gynecology 2022-01 2022-01-15 /pmc/articles/PMC8784942/ /pubmed/34902893 http://dx.doi.org/10.5468/ogs.21212 Text en Copyright © 2022 Korean Society of Obstetrics and Gynecology https://creativecommons.org/licenses/by-nc/3.0/Articles published in Obstet Gynecol Sci are open-access, distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Lee, Se Jin Oh, Hye Rim Na, Sunghun Hwang, Han Sung Lee, Seung Mi Ultrasonographic ovarian mass scoring system for predicting malignancy in pregnant women with ovarian mass |
title | Ultrasonographic ovarian mass scoring system for predicting malignancy in pregnant women with ovarian mass |
title_full | Ultrasonographic ovarian mass scoring system for predicting malignancy in pregnant women with ovarian mass |
title_fullStr | Ultrasonographic ovarian mass scoring system for predicting malignancy in pregnant women with ovarian mass |
title_full_unstemmed | Ultrasonographic ovarian mass scoring system for predicting malignancy in pregnant women with ovarian mass |
title_short | Ultrasonographic ovarian mass scoring system for predicting malignancy in pregnant women with ovarian mass |
title_sort | ultrasonographic ovarian mass scoring system for predicting malignancy in pregnant women with ovarian mass |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784942/ https://www.ncbi.nlm.nih.gov/pubmed/34902893 http://dx.doi.org/10.5468/ogs.21212 |
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