Differentiation of uterine low-grade endometrial stromal sarcoma from rare leiomyoma variants by magnetic resonance imaging
Abstract The purpose of this study is to evaluate utility of MRI in differentiation of uterine low-grade endometrial stromal sarcoma (LGESS) from rare leiomyoma variants. This multi-center retrospective study included consecutive 25 patients with uterine LGESS and 42 patients with rare leiomyoma var...
Guardado en:
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0eafd4480e7343ec816d086ab66cefb3 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:0eafd4480e7343ec816d086ab66cefb3 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:0eafd4480e7343ec816d086ab66cefb32021-12-02T17:17:40ZDifferentiation of uterine low-grade endometrial stromal sarcoma from rare leiomyoma variants by magnetic resonance imaging10.1038/s41598-021-98473-z2045-2322https://doaj.org/article/0eafd4480e7343ec816d086ab66cefb32021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98473-zhttps://doaj.org/toc/2045-2322Abstract The purpose of this study is to evaluate utility of MRI in differentiation of uterine low-grade endometrial stromal sarcoma (LGESS) from rare leiomyoma variants. This multi-center retrospective study included consecutive 25 patients with uterine LGESS and 42 patients with rare leiomyoma variants who had pretreatment MRI. Two radiologists (R1/R2) independently evaluated MRI features, which were analyzed statistically using Fisher’s exact test or Student's t-test. Subsequently, using a five-point Likert scale, the two radiologists evaluated the diagnostic performance of a pre-defined MRI system using features reported as characteristics of LGESS in previous case series: uterine tumor with high signal intensity (SI) on diffusion-weighted images and with either worm-like nodular extension, intra-tumoral low SI bands, or low SI rim on T2-weighted images. Area under the receiver operating characteristic curve (AUC), sensitivity, and specificity of the two readers’ Likert scales were analyzed. Intra-tumoral low SI bands (p < 0.001), cystic/necrotic change (p ≤ 0.02), absence of speckled appearance (p < 0.001) on T2-weighted images, and a low apparent diffusion coefficient value (p ≤ 0.02) were significantly associated with LGESS. The pre-defined MRI system showed very good diagnostic performance: AUC 0.86/0.89, sensitivity 0.95/0.95, and specificity 0.67/0.69 for R1/R2. MRI can be useful to differentiate uterine LGESS from rare leiomyoma variants.Yuki HimotoAki KidoAkihiko SakataYusaku MoribataYasuhisa KurataAyako SuzukiNoriomi MatsumuraFuki ShitanoSeiya KawaharaShigeto KuboShigeaki UmeokaSachiko MinamiguchiMasaki MandaiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Yuki Himoto Aki Kido Akihiko Sakata Yusaku Moribata Yasuhisa Kurata Ayako Suzuki Noriomi Matsumura Fuki Shitano Seiya Kawahara Shigeto Kubo Shigeaki Umeoka Sachiko Minamiguchi Masaki Mandai Differentiation of uterine low-grade endometrial stromal sarcoma from rare leiomyoma variants by magnetic resonance imaging |
description |
Abstract The purpose of this study is to evaluate utility of MRI in differentiation of uterine low-grade endometrial stromal sarcoma (LGESS) from rare leiomyoma variants. This multi-center retrospective study included consecutive 25 patients with uterine LGESS and 42 patients with rare leiomyoma variants who had pretreatment MRI. Two radiologists (R1/R2) independently evaluated MRI features, which were analyzed statistically using Fisher’s exact test or Student's t-test. Subsequently, using a five-point Likert scale, the two radiologists evaluated the diagnostic performance of a pre-defined MRI system using features reported as characteristics of LGESS in previous case series: uterine tumor with high signal intensity (SI) on diffusion-weighted images and with either worm-like nodular extension, intra-tumoral low SI bands, or low SI rim on T2-weighted images. Area under the receiver operating characteristic curve (AUC), sensitivity, and specificity of the two readers’ Likert scales were analyzed. Intra-tumoral low SI bands (p < 0.001), cystic/necrotic change (p ≤ 0.02), absence of speckled appearance (p < 0.001) on T2-weighted images, and a low apparent diffusion coefficient value (p ≤ 0.02) were significantly associated with LGESS. The pre-defined MRI system showed very good diagnostic performance: AUC 0.86/0.89, sensitivity 0.95/0.95, and specificity 0.67/0.69 for R1/R2. MRI can be useful to differentiate uterine LGESS from rare leiomyoma variants. |
format |
article |
author |
Yuki Himoto Aki Kido Akihiko Sakata Yusaku Moribata Yasuhisa Kurata Ayako Suzuki Noriomi Matsumura Fuki Shitano Seiya Kawahara Shigeto Kubo Shigeaki Umeoka Sachiko Minamiguchi Masaki Mandai |
author_facet |
Yuki Himoto Aki Kido Akihiko Sakata Yusaku Moribata Yasuhisa Kurata Ayako Suzuki Noriomi Matsumura Fuki Shitano Seiya Kawahara Shigeto Kubo Shigeaki Umeoka Sachiko Minamiguchi Masaki Mandai |
author_sort |
Yuki Himoto |
title |
Differentiation of uterine low-grade endometrial stromal sarcoma from rare leiomyoma variants by magnetic resonance imaging |
title_short |
Differentiation of uterine low-grade endometrial stromal sarcoma from rare leiomyoma variants by magnetic resonance imaging |
title_full |
Differentiation of uterine low-grade endometrial stromal sarcoma from rare leiomyoma variants by magnetic resonance imaging |
title_fullStr |
Differentiation of uterine low-grade endometrial stromal sarcoma from rare leiomyoma variants by magnetic resonance imaging |
title_full_unstemmed |
Differentiation of uterine low-grade endometrial stromal sarcoma from rare leiomyoma variants by magnetic resonance imaging |
title_sort |
differentiation of uterine low-grade endometrial stromal sarcoma from rare leiomyoma variants by magnetic resonance imaging |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/0eafd4480e7343ec816d086ab66cefb3 |
work_keys_str_mv |
AT yukihimoto differentiationofuterinelowgradeendometrialstromalsarcomafromrareleiomyomavariantsbymagneticresonanceimaging AT akikido differentiationofuterinelowgradeendometrialstromalsarcomafromrareleiomyomavariantsbymagneticresonanceimaging AT akihikosakata differentiationofuterinelowgradeendometrialstromalsarcomafromrareleiomyomavariantsbymagneticresonanceimaging AT yusakumoribata differentiationofuterinelowgradeendometrialstromalsarcomafromrareleiomyomavariantsbymagneticresonanceimaging AT yasuhisakurata differentiationofuterinelowgradeendometrialstromalsarcomafromrareleiomyomavariantsbymagneticresonanceimaging AT ayakosuzuki differentiationofuterinelowgradeendometrialstromalsarcomafromrareleiomyomavariantsbymagneticresonanceimaging AT noriomimatsumura differentiationofuterinelowgradeendometrialstromalsarcomafromrareleiomyomavariantsbymagneticresonanceimaging AT fukishitano differentiationofuterinelowgradeendometrialstromalsarcomafromrareleiomyomavariantsbymagneticresonanceimaging AT seiyakawahara differentiationofuterinelowgradeendometrialstromalsarcomafromrareleiomyomavariantsbymagneticresonanceimaging AT shigetokubo differentiationofuterinelowgradeendometrialstromalsarcomafromrareleiomyomavariantsbymagneticresonanceimaging AT shigeakiumeoka differentiationofuterinelowgradeendometrialstromalsarcomafromrareleiomyomavariantsbymagneticresonanceimaging AT sachikominamiguchi differentiationofuterinelowgradeendometrialstromalsarcomafromrareleiomyomavariantsbymagneticresonanceimaging AT masakimandai differentiationofuterinelowgradeendometrialstromalsarcomafromrareleiomyomavariantsbymagneticresonanceimaging |
_version_ |
1718381127139328000 |