Literature DB >> 21507390

Can MRI predict the diagnosis of endometrial carcinosarcoma?

A V Genever1, S Abdi.   

Abstract

AIM: To ascertain whether magnetic resonance imaging (MRI) can be used to suggest a diagnosis of endometrial carcinosarcoma.
MATERIALS AND METHODS: A retrospective imaging review was performed of the MRI images of 39 patients with endometrial carcinosarcoma. Anteroposterior and longitudinal dimensions of the uterus and measurement of the endometrial thickness were taken in the sagittal plane. The ratio of antero-posterior measurement to endometrial thickness was calculated. The same measurements were taken on 50 patients with endometrial adenocarcinoma. A two-tailed t-test and receiver operator characteristic analysis were performed on these measurements for both patient groups.
RESULTS: There was a statistically significant difference between the longitudinal (p=0.0084) and anteroposterior (p=0.00036) dimensions of the uterus of the two groups. There was also a statistically significant difference between the ratios of anteroposterior dimension to endometrial thickness (p=0.00018). The optimal cut-off ratio above which the radiologist should be alerted to a potential diagnosis of endometrial carcinosarcoma was shown to be 0.63.
CONCLUSION: MRI can be helpful in suggesting a diagnosis of endometrial carcinosarcoma with the help of some simple measurements.
Copyright © 2011 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21507390     DOI: 10.1016/j.crad.2011.02.008

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  4 in total

1.  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

2.  Uterine carcinosarcomas (malignant mixed müllerian tumours): a review with special emphasis on the controversies in management.

Authors:  Rani Kanthan; Jenna-Lynn Senger
Journal:  Obstet Gynecol Int       Date:  2011-10-05

Review 3.  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

4.  Dynamic contrast-enhanced MR and PET/CT findings of uterine sarcomatoid carcinoma: a case report.

Authors:  Tingting Cui; Yanfang Jin; Bin Li; Jiyuan Li; Yunlong Yue
Journal:  BMC Womens Health       Date:  2020-10-06       Impact factor: 2.809

  4 in total

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