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Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma Using Magnetic Resonance Images: A Literature Review
MRI plays an essential role in patients before treatment for uterine mesenchymal malignancies. Although MRI includes methods such as diffusion-weighted imaging and dynamic contrast-enhanced MRI, the differentiation between uterine myoma and sarcoma always becomes problematic. The present paper discu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6955943/ https://www.ncbi.nlm.nih.gov/pubmed/31817500 http://dx.doi.org/10.3390/healthcare7040158 |
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author | Suzuki, Ayako Aoki, Masato Miyagawa, Chiho Murakami, Kosuke Takaya, Hisamitsu Kotani, Yasushi Nakai, Hidekatsu Matsumura, Noriomi |
author_facet | Suzuki, Ayako Aoki, Masato Miyagawa, Chiho Murakami, Kosuke Takaya, Hisamitsu Kotani, Yasushi Nakai, Hidekatsu Matsumura, Noriomi |
author_sort | Suzuki, Ayako |
collection | PubMed |
description | MRI plays an essential role in patients before treatment for uterine mesenchymal malignancies. Although MRI includes methods such as diffusion-weighted imaging and dynamic contrast-enhanced MRI, the differentiation between uterine myoma and sarcoma always becomes problematic. The present paper discusses important findings to ensure that sarcomas are not overlooked in magnetic resonance (MR) images, and we describe the update in the differentiation between uterine leiomyoma and sarcoma with recent reports. |
format | Online Article Text |
id | pubmed-6955943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69559432020-01-23 Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma Using Magnetic Resonance Images: A Literature Review Suzuki, Ayako Aoki, Masato Miyagawa, Chiho Murakami, Kosuke Takaya, Hisamitsu Kotani, Yasushi Nakai, Hidekatsu Matsumura, Noriomi Healthcare (Basel) Review MRI plays an essential role in patients before treatment for uterine mesenchymal malignancies. Although MRI includes methods such as diffusion-weighted imaging and dynamic contrast-enhanced MRI, the differentiation between uterine myoma and sarcoma always becomes problematic. The present paper discusses important findings to ensure that sarcomas are not overlooked in magnetic resonance (MR) images, and we describe the update in the differentiation between uterine leiomyoma and sarcoma with recent reports. MDPI 2019-12-05 /pmc/articles/PMC6955943/ /pubmed/31817500 http://dx.doi.org/10.3390/healthcare7040158 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Suzuki, Ayako Aoki, Masato Miyagawa, Chiho Murakami, Kosuke Takaya, Hisamitsu Kotani, Yasushi Nakai, Hidekatsu Matsumura, Noriomi Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma Using Magnetic Resonance Images: A Literature Review |
title | Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma Using Magnetic Resonance Images: A Literature Review |
title_full | Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma Using Magnetic Resonance Images: A Literature Review |
title_fullStr | Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma Using Magnetic Resonance Images: A Literature Review |
title_full_unstemmed | Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma Using Magnetic Resonance Images: A Literature Review |
title_short | Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma Using Magnetic Resonance Images: A Literature Review |
title_sort | differential diagnosis of uterine leiomyoma and uterine sarcoma using magnetic resonance images: a literature review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6955943/ https://www.ncbi.nlm.nih.gov/pubmed/31817500 http://dx.doi.org/10.3390/healthcare7040158 |
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