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Ultrasonographic Visualization of the Ovaries to Detect Ovarian Cancer According to Age, Menopausal Status and Body Type

Because the effects of age, menopausal status, weight and body mass index (BMI) on ovarian detectability by transvaginal ultrasound (TVS) have not been established, we determined their contributions to TVS visualization of the ovaries. A total of 29,877 women that had both ovaries visualized on thei...

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Autores principales: Pavlik, Edward J., Brekke, Emily, Gorski, Justin, Baldwin-Branch, Lauren, Miller, Rachel, DeSimone, Christopher P., Dietrich, Charles S., Gallion, Holly S., Ueland, Frederick Rand, van Nagell, John R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775241/
https://www.ncbi.nlm.nih.gov/pubmed/35054294
http://dx.doi.org/10.3390/diagnostics12010128
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author Pavlik, Edward J.
Brekke, Emily
Gorski, Justin
Baldwin-Branch, Lauren
Miller, Rachel
DeSimone, Christopher P.
Dietrich, Charles S.
Gallion, Holly S.
Ueland, Frederick Rand
van Nagell, John R.
author_facet Pavlik, Edward J.
Brekke, Emily
Gorski, Justin
Baldwin-Branch, Lauren
Miller, Rachel
DeSimone, Christopher P.
Dietrich, Charles S.
Gallion, Holly S.
Ueland, Frederick Rand
van Nagell, John R.
author_sort Pavlik, Edward J.
collection PubMed
description Because the effects of age, menopausal status, weight and body mass index (BMI) on ovarian detectability by transvaginal ultrasound (TVS) have not been established, we determined their contributions to TVS visualization of the ovaries. A total of 29,877 women that had both ovaries visualized on their first exam were followed over 202,639 prospective TVS exams. All images were reviewed by a physician. While visualization of both ovaries decreased with age, one or both ovaries could be visualized in two of every three women over 80 years of age. Around 93% of pre-menopausal women and ~69% of post-menopausal women had both ovaries visualized. Both ovaries were visualized in ~72% of women weighing over 300 lbs. and in ~70% of women with a BMI over 40. Conclusions: Age had the greatest influence on the visualization of the ovaries. The ovaries can be visualized well past the menopause. Body habitus was not limiting to TVS ovarian imaging, and TVS should be considered capable of imaging one or both ovaries in two of every three women over 80 years of age. Thus, older and obese patients remain good candidates for TVS exams.
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spelling pubmed-87752412022-01-21 Ultrasonographic Visualization of the Ovaries to Detect Ovarian Cancer According to Age, Menopausal Status and Body Type Pavlik, Edward J. Brekke, Emily Gorski, Justin Baldwin-Branch, Lauren Miller, Rachel DeSimone, Christopher P. Dietrich, Charles S. Gallion, Holly S. Ueland, Frederick Rand van Nagell, John R. Diagnostics (Basel) Article Because the effects of age, menopausal status, weight and body mass index (BMI) on ovarian detectability by transvaginal ultrasound (TVS) have not been established, we determined their contributions to TVS visualization of the ovaries. A total of 29,877 women that had both ovaries visualized on their first exam were followed over 202,639 prospective TVS exams. All images were reviewed by a physician. While visualization of both ovaries decreased with age, one or both ovaries could be visualized in two of every three women over 80 years of age. Around 93% of pre-menopausal women and ~69% of post-menopausal women had both ovaries visualized. Both ovaries were visualized in ~72% of women weighing over 300 lbs. and in ~70% of women with a BMI over 40. Conclusions: Age had the greatest influence on the visualization of the ovaries. The ovaries can be visualized well past the menopause. Body habitus was not limiting to TVS ovarian imaging, and TVS should be considered capable of imaging one or both ovaries in two of every three women over 80 years of age. Thus, older and obese patients remain good candidates for TVS exams. MDPI 2022-01-06 /pmc/articles/PMC8775241/ /pubmed/35054294 http://dx.doi.org/10.3390/diagnostics12010128 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pavlik, Edward J.
Brekke, Emily
Gorski, Justin
Baldwin-Branch, Lauren
Miller, Rachel
DeSimone, Christopher P.
Dietrich, Charles S.
Gallion, Holly S.
Ueland, Frederick Rand
van Nagell, John R.
Ultrasonographic Visualization of the Ovaries to Detect Ovarian Cancer According to Age, Menopausal Status and Body Type
title Ultrasonographic Visualization of the Ovaries to Detect Ovarian Cancer According to Age, Menopausal Status and Body Type
title_full Ultrasonographic Visualization of the Ovaries to Detect Ovarian Cancer According to Age, Menopausal Status and Body Type
title_fullStr Ultrasonographic Visualization of the Ovaries to Detect Ovarian Cancer According to Age, Menopausal Status and Body Type
title_full_unstemmed Ultrasonographic Visualization of the Ovaries to Detect Ovarian Cancer According to Age, Menopausal Status and Body Type
title_short Ultrasonographic Visualization of the Ovaries to Detect Ovarian Cancer According to Age, Menopausal Status and Body Type
title_sort ultrasonographic visualization of the ovaries to detect ovarian cancer according to age, menopausal status and body type
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775241/
https://www.ncbi.nlm.nih.gov/pubmed/35054294
http://dx.doi.org/10.3390/diagnostics12010128
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