Literature DB >> 24395397

MRI appearances of mucinous borderline ovarian tumors: pathological correlation.

Feng Hua Ma1, Shu Hui Zhao, Jin Wei Qiang, Guo Fu Zhang, Xue Zhen Wang, Li Wang.   

Abstract

PURPOSE: The purpose of this study is to evaluate the MRI features of mucinous borderline ovarian tumors (MBOT).
MATERIALS AND METHODS: MRI morphology of 30 MBOT proven MBOT by surgery and pathology was retrospectively studied and correlated with the histopathological findings. On MRI, tumors were classified into three morphological categories: (i) unilocular cyst in five (17%) tumors. (ii) multilocular cyst in 23 (76%) tumors. (iii) solid mass in 2 (7%) tumors. MRI features of tumors were identified including the multilocularity (23/30, 77%), honeycomb loculi (15/30, 50%), signal discrepancy (different signal intensity on T1WI and T2WI) (19/30, 63%), thickened wall or septa (>3 mm) (16/30, 53%).
RESULTS: Intestinal type and endocervical type of MBOT, two distinctly histologic subtypes, were found in 20 (67%) and 10 (33%) tumors respectively. There were a higher prevalence of multilocularity (P = 0.026), honeycomb loculi (P = 0.025), and signal discrepancy (P = 0.024) in intestinal type than endocervical type of MBOT.
CONCLUSION: Typical MRI features of MBOT are large multilocular tumors with honeycomb loculi, heterogeneous signal intensity of the loculi, and thickened wall or septa.
© 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  borderline; magnetic resonance imaging; mucinous tumors; ovary

Mesh:

Substances:

Year:  2013        PMID: 24395397     DOI: 10.1002/jmri.24408

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  5 in total

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3.  Magnetic Resonance Imaging Characteristics of Ovarian Clear Cell Carcinoma.

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4.  Serum CA19-9 as a predictor of malignancy in primary ovarian mucinous tumors: a matched case-control study.

Authors:  Hye-Yon Cho; Min Sun Kyung
Journal:  Med Sci Monit       Date:  2014-07-30

5.  Texture Analysis of Three-Dimensional MRI Images May Differentiate Borderline and Malignant Epithelial Ovarian Tumors.

Authors:  Rongping Ye; Shuping Weng; Yueming Li; Chuan Yan; Jianwei Chen; Yuemin Zhu; Liting Wen
Journal:  Korean J Radiol       Date:  2020-09-10       Impact factor: 3.500

  5 in total

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