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The characteristic ultrasound features of specific types of ovarian pathology (Review)
Characterizing ovarian masses enables patients with malignancy to be appropriately triaged for treatment by subspecialist gynecological oncologists, which has been shown to optimize care and improve survival. Furthermore, correctly classifying benign masses facilitates the selection of patients with...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4277251/ https://www.ncbi.nlm.nih.gov/pubmed/25406094 http://dx.doi.org/10.3892/ijo.2014.2764 |
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author | SAYASNEH, AHMAD EKECHI, CHRISTINE FERRARA, LAURA KAIJSER, JEROEN STALDER, CATRIONA SUR, SHYAMALY TIMMERMAN, DIRK BOURNE, TOM |
author_facet | SAYASNEH, AHMAD EKECHI, CHRISTINE FERRARA, LAURA KAIJSER, JEROEN STALDER, CATRIONA SUR, SHYAMALY TIMMERMAN, DIRK BOURNE, TOM |
author_sort | SAYASNEH, AHMAD |
collection | PubMed |
description | Characterizing ovarian masses enables patients with malignancy to be appropriately triaged for treatment by subspecialist gynecological oncologists, which has been shown to optimize care and improve survival. Furthermore, correctly classifying benign masses facilitates the selection of patients with ovarian pathology that may either not require intervention, or be suitable for minimal access surgery if intervention is required. However, predicting whether a mass is benign or malignant is not the only clinically relevant information that we need to know before deciding on appropriate treatment. Knowing the specific histology of a mass is becoming of increasing importance as management options become more tailored to the individual patient. For example predicting a mucinous borderline tumor gives the opportunity for fertility sparing surgery, and will highlight the need for further gastrointestinal assessment. For benign disease, predicting the presence of an endometrioma and possible deeply infiltrating endometriosis is important when considering both who should perform and the extent of surgery. An examiner’s subjective assessment of the morphological and vascular features of a mass using ultrasonography has been shown to be highly effective for predicting whether a mass is benign or malignant. Many masses also have features that enable a reliable diagnosis of the specific pathology of a particular mass to be made. In this narrative review we aim to describe the typical morphological features seen on ultrasound of different adnexal masses and illustrate these by showing representative ultrasound images. |
format | Online Article Text |
id | pubmed-4277251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-42772512015-01-06 The characteristic ultrasound features of specific types of ovarian pathology (Review) SAYASNEH, AHMAD EKECHI, CHRISTINE FERRARA, LAURA KAIJSER, JEROEN STALDER, CATRIONA SUR, SHYAMALY TIMMERMAN, DIRK BOURNE, TOM Int J Oncol Articles Characterizing ovarian masses enables patients with malignancy to be appropriately triaged for treatment by subspecialist gynecological oncologists, which has been shown to optimize care and improve survival. Furthermore, correctly classifying benign masses facilitates the selection of patients with ovarian pathology that may either not require intervention, or be suitable for minimal access surgery if intervention is required. However, predicting whether a mass is benign or malignant is not the only clinically relevant information that we need to know before deciding on appropriate treatment. Knowing the specific histology of a mass is becoming of increasing importance as management options become more tailored to the individual patient. For example predicting a mucinous borderline tumor gives the opportunity for fertility sparing surgery, and will highlight the need for further gastrointestinal assessment. For benign disease, predicting the presence of an endometrioma and possible deeply infiltrating endometriosis is important when considering both who should perform and the extent of surgery. An examiner’s subjective assessment of the morphological and vascular features of a mass using ultrasonography has been shown to be highly effective for predicting whether a mass is benign or malignant. Many masses also have features that enable a reliable diagnosis of the specific pathology of a particular mass to be made. In this narrative review we aim to describe the typical morphological features seen on ultrasound of different adnexal masses and illustrate these by showing representative ultrasound images. D.A. Spandidos 2014-11-18 /pmc/articles/PMC4277251/ /pubmed/25406094 http://dx.doi.org/10.3892/ijo.2014.2764 Text en Copyright © 2015, Spandidos Publications http://creativecommons.org/licenses/by/3.0 This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited. |
spellingShingle | Articles SAYASNEH, AHMAD EKECHI, CHRISTINE FERRARA, LAURA KAIJSER, JEROEN STALDER, CATRIONA SUR, SHYAMALY TIMMERMAN, DIRK BOURNE, TOM The characteristic ultrasound features of specific types of ovarian pathology (Review) |
title | The characteristic ultrasound features of specific types of ovarian pathology (Review) |
title_full | The characteristic ultrasound features of specific types of ovarian pathology (Review) |
title_fullStr | The characteristic ultrasound features of specific types of ovarian pathology (Review) |
title_full_unstemmed | The characteristic ultrasound features of specific types of ovarian pathology (Review) |
title_short | The characteristic ultrasound features of specific types of ovarian pathology (Review) |
title_sort | characteristic ultrasound features of specific types of ovarian pathology (review) |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4277251/ https://www.ncbi.nlm.nih.gov/pubmed/25406094 http://dx.doi.org/10.3892/ijo.2014.2764 |
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