Literature DB >> 32342277

Ovarian solid tumors: MR imaging features with radiologic-pathologic correlation.

Naoko Mukuda1, Mana Ishibashi2, Atsushi Murakami2, Takeru Fukunaga2, Shinya Fujii2.   

Abstract

Ovarian solid tumors have variable histological types including benign and malignant tumors. In addition, non-neoplastic lesions sometimes show a tumor-like appearance. It is important to differentiate benign from malignant tumors. In general, low signal intensity (SI) on T2-weighted imaging (T2WI), low SI on diffusion-weighted imaging (DWI), and gradual increased pattern on dynamic contrast-enhanced magnetic resonance (MR) imaging are known to be suggestive of a benign tumor. Conversely, there are some cases in which these rules do not apply. We should, therefore, strive for a greater understanding of these exceptional cases. Several tumors show characteristic findings on MR imaging reflecting pathologic features, which leads to the correct diagnosis. Additionally, MR imaging provides important information other than the nature of tumors, such as secondary uterine changes. Furthermore, clinical findings and laboratory examination data also help in determining the correct diagnosis.

Entities:  

Keywords:  Magnetic resonance imaging; Ovary; Solid tumors

Mesh:

Year:  2020        PMID: 32342277     DOI: 10.1007/s11604-020-00976-8

Source DB:  PubMed          Journal:  Jpn J Radiol        ISSN: 1867-1071            Impact factor:   2.374


  52 in total

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Journal:  Radiographics       Date:  2006 Sep-Oct       Impact factor: 5.333

2.  Diffusion-weighted MRI: a useful technique to discriminate benign versus malignant ovarian surface epithelial tumors with solid and cystic components.

Authors:  Wenhua Li; Caiting Chu; Yanfen Cui; Ping Zhang; Minjie Zhu
Journal:  Abdom Imaging       Date:  2012-10

3.  Primary carcinoid tumor of the ovary: MR imaging characteristics with pathologic correlation.

Authors:  Mayumi Takeuchi; Kenji Matsuzaki; Hisanori Uehara
Journal:  Magn Reson Med Sci       Date:  2011       Impact factor: 2.471

4.  Magnetic resonance imaging features of ovarian fibroma, fibrothecoma, and thecoma.

Authors:  Bo Mi Chung; Sung Bin Park; Jong Beum Lee; Hyun Jeong Park; Yang Soo Kim; Yoon Jin Oh
Journal:  Abdom Imaging       Date:  2015-06

5.  Characterization of complex adnexal masses: value of adding perfusion- and diffusion-weighted MR imaging to conventional MR imaging.

Authors:  Isabelle Thomassin-Naggara; Irwin Toussaint; Nicolas Perrot; Roman Rouzier; Charles A Cuenod; Marc Bazot; Emile Daraï
Journal:  Radiology       Date:  2010-12-30       Impact factor: 11.105

6.  Apparent diffusion coefficient (ADC) measurement in ovarian tumor: Effect of region-of-interest methods on ADC values and diagnostic ability.

Authors:  Naoko Mukuda; Shinya Fujii; Chie Inoue; Takeru Fukunaga; Yoshio Tanabe; Hiroaki Itamochi; Toshihide Ogawa
Journal:  J Magn Reson Imaging       Date:  2015-07-22       Impact factor: 4.813

7.  Dynamic contrast-enhanced magnetic resonance imaging: a useful tool for characterizing ovarian epithelial tumors.

Authors:  Isabelle Thomassin-Naggara; Emile Daraï; Charles A Cuenod; Roman Rouzier; Patrice Callard; Marc Bazot
Journal:  J Magn Reson Imaging       Date:  2008-07       Impact factor: 4.813

8.  Usual and unusual MRI findings of ovarian fibroma: correlation with pathologic findings.

Authors:  Kazuhiro Kitajima; Yasushi Kaji; Kazuro Sugimura
Journal:  Magn Reson Med Sci       Date:  2008       Impact factor: 2.471

9.  Adnexal masses: development and preliminary validation of an MR imaging scoring system.

Authors:  Isabelle Thomassin-Naggara; Emilie Aubert; Andrea Rockall; Aurélie Jalaguier-Coudray; Roman Rouzier; Emile Daraï; Marc Bazot
Journal:  Radiology       Date:  2013-03-06       Impact factor: 11.105

10.  Diagnostic accuracy of diffusion-weighted imaging with conventional MR imaging for differentiating complex solid and cystic ovarian tumors at 1.5T.

Authors:  Ping Zhang; Yanfen Cui; Wenhua Li; Gang Ren; Caiting Chu; Xiangru Wu
Journal:  World J Surg Oncol       Date:  2012-11-09       Impact factor: 2.754

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  1 in total

1.  Apparent diffusion coefficient histogram analysis for differentiating solid ovarian tumors.

Authors:  Renwei Liu; Ruifeng Li; Jinzhi Fang; Kan Deng; Cuimei Chen; Jianhua Li; Zhiqing Wu; Xiaoxu Zeng
Journal:  Front Oncol       Date:  2022-08-01       Impact factor: 5.738

  1 in total

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