Literature DB >> 26787673

Carcinosarcoma of the uterus: MRI findings including diffusion-weighted imaging and MR spectroscopy.

Mayumi Takeuchi1, Kenji Matsuzaki2, Masafumi Harada3.   

Abstract

BACKGROUND: Recently carcinosarcoma has become regarded as a subset of endometrial carcinoma. Because the clinical course of carcinosarcoma is aggressive with poor prognosis, it should be differentiated from endometrial carcinomas for the appropriate surgical management and adjuvant therapy.
PURPOSE: To clarify the magnetic resonance imaging (MRI) characteristics of uterine carcinosarcoma including diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) measurement and MR spectroscopy (MRS) with quantitative metabolite evaluation.
MATERIAL AND METHODS: MRI findings of 12 pathologically diagnosed uterine carcinosarcomas obtained on 3T MRI were retrospectively evaluated. The mean and minimum ADCs, and the lipid and choline concentration levels were compared with those of pathologically diagnosed 38 endometrial carcinomas.
RESULTS: The mean and minimum ADCs in carcinosarcomas and endometrial carcinomas were not significantly different. The mean ADC of carcinosarcomas was significantly higher than that of higher grade (G2 and G3) endometrial carcinomas. The choline concentration in carcinosarcomas was significantly lower than that in endometrial carcinomas. High lipid peak was observed in 91% of carcinosarcomas and in 24% of endometrial carcinomas.
CONCLUSION: Large, exophytic heterogeneous endometrial mass containing strongly enhanced areas, which may exhibit "tumor delivery", is a suggestive of carcinosarcoma. Relatively high mean ADC and low choline concentration considering its highly malignant nature due to intra-tumoral heterogeneity with necrosis and epithelial cystic components, and the presence of necrosis-associated high lipid peak may be compatible with carcinosarcoma. © The Foundation Acta Radiologica 2016.

Entities:  

Keywords:  Genital/reproductive; MR diffusion/perfusion; MR spectroscopy; magnetic resonance imaging (MRI); neoplasms – primary; uterus

Mesh:

Substances:

Year:  2016        PMID: 26787673     DOI: 10.1177/0284185115626475

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  9 in total

Review 1.  Diagnostic performance of apparent diffusion coefficient (ADC) for differentiating endometrial carcinoma from benign lesions: a systematic review and meta-analysis.

Authors:  Yashar Moharamzad; Amir H Davarpanah; Ali Yaghobi Joybari; Fatemeh Shahbazi; Leila Esmaeilian Toosi; Melika Kooshkiforooshani; Ali Ansari; Morteza Sanei Taheri
Journal:  Abdom Radiol (NY)       Date:  2020-09-15

2.  A predictive diagnostic model using multiparametric MRI for differentiating uterine carcinosarcoma from carcinoma of the uterine corpus.

Authors:  Yuki Kamishima; Mitsuru Takeuchi; Tatsuya Kawai; Takatsune Kawaguchi; Ken Yamaguchi; Naoki Takahashi; Masato Ito; Toshinao Arakawa; Akiko Yamamoto; Kazushi Suzuki; Masaki Ogawa; Moe Takeuchi; Yuta Shibamoto
Journal:  Jpn J Radiol       Date:  2017-06-05       Impact factor: 2.374

Review 3.  Multiparametric magnetic resonance imaging of endometrial polypoid lesions.

Authors:  Youkyoung Lee; Kyeong Ah Kim; Mi Jin Song; Yang Shin Park; Jongmee Lee; Jae Woong Choi; Chang Hee Lee
Journal:  Abdom Radiol (NY)       Date:  2020-11

4.  Pathological characteristics and risk stratification in patients with stage I endometrial cancer: utility of apparent diffusion coefficient histogram analysis.

Authors:  Taein An; Chan Kyo Kim
Journal:  Br J Radiol       Date:  2021-07-08       Impact factor: 3.629

Review 5.  Current Status of Magnetic Resonance Imaging in Patients with Malignant Uterine Neoplasms: A Review.

Authors:  Yu-Ting Huang; Yen-Ling Huang; Koon-Kwan Ng; Gigin Lin
Journal:  Korean J Radiol       Date:  2018-12-27       Impact factor: 3.500

6.  Differentiation of carcinosarcoma from endometrial carcinoma on magnetic resonance imaging using deep learning.

Authors:  Tsukasa Saida; Kensaku Mori; Sodai Hoshiai; Masafumi Sakai; Aiko Urushibara; Toshitaka Ishiguro; Toyomi Satoh; Takahito Nakajima
Journal:  Pol J Radiol       Date:  2022-09-21

7.  Renal cell carcinoma with venous extension: prediction of inferior vena cava wall invasion by MRI.

Authors:  Lisa C Adams; Bernhard Ralla; Yi-Na Y Bender; Keno Bressem; Bernd Hamm; Jonas Busch; Florian Fuller; Marcus R Makowski
Journal:  Cancer Imaging       Date:  2018-05-03       Impact factor: 3.909

8.  The value of clinical parameters combined with magnetic resonance imaging (MRI) features for preoperatively distinguishing different subtypes of uterine sarcomas: An observational study (STROBE compliant).

Authors:  Qiu Bi; Kunhua Wu; Fajin Lv; Zhibo Xiao; Yulin Xiong; Yiqing Shen
Journal:  Medicine (Baltimore)       Date:  2020-04       Impact factor: 1.817

Review 9.  Differentiating uterine sarcoma from leiomyoma: BET1T2ER Check!

Authors:  Janette Smith; Jeries Paolo Zawaideh; Hilal Sahin; Susan Freeman; Helen Bolton; Helen Clare Addley
Journal:  Br J Radiol       Date:  2021-05-05       Impact factor: 3.629

  9 in total

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