Literature DB >> 9280262

Fibroma and fibrothecoma of the ovary: MR imaging findings.

R N Troiano1, K M Lazzarini, L M Scoutt, R C Lange, S D Flynn, S McCarthy.   

Abstract

PURPOSE: To describe the morphologic and signal intensity characteristics on magnetic resonance (MR) images of fibromas and fibrothecomas.
MATERIALS AND METHODS: MR images of 11 female patients with histologically proved fibromas or fibrothecomas were reviewed, and morphologic and signal intensity characteristics of the lesions were analyzed. MR imaging findings were correlated with histologic findings.
RESULTS: All fibromas and fibrothecomas showed homogeneous low signal intensity on T1-weighted images. On T2-weighted images, the two smallest lesions showed homogeneous low signal intensity, and eight of the other nine lesions showed predominantly low signal intensity. Edema was noted only in larger lesions, and cystic degeneration was noted only in three of the largest lesions. On T2-weighted images, the percentage of low signal intensity in the lesion was not found to be related to lesion size, and the percentage of low signal intensity in fibromas was not significantly different from that in fibrothecomas (P = .55). Many lesions showed heterogeneous signal intensity; the solid component was distributed peripherally, and the cystic component was located centrally or eccentrically. Free intraperitoneal fluid was noted in 10 of 11 lesions and was not significantly correlated with lesion size (r = .52 and P = .10).
CONCLUSION: Because of their predominantly low signal intensity on T2-weighted images, fibromas and fibrothecomas display a relatively specific appearance on MR images.

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Mesh:

Year:  1997        PMID: 9280262     DOI: 10.1148/radiology.204.3.9280262

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  16 in total

1.  MR imaging compared with intraoperative frozen-section examination for the diagnosis of adnexal tumors; correlation with final histology.

Authors:  Marc Bazot; Jinane Nassar-Slaba; Isabelle Thomassin-Naggara; Annie Cortez; Serge Uzan; Emile Daraï
Journal:  Eur Radiol       Date:  2006-03-18       Impact factor: 5.315

2.  Comparative evaluation of multidetector CT and MR imaging in the differentiation of adnexal masses.

Authors:  A C Tsili; C Tsampoulas; M Argyropoulou; I Navrozoglou; Y Alamanos; E Paraskevaidis; S C Efremidis
Journal:  Eur Radiol       Date:  2008-01-10       Impact factor: 5.315

3.  Pelvic tumors with normal-appearing shapes of ovaries and uterus presenting as an emergency (Review).

Authors:  Atsushi Imai; Satoshi Ichigo; Hiroshi Takagi; Kazutoshi Matsunami; Sadayoshi Watanabe; Takayuki Murase; Tsuneko Ikeda
Journal:  Oncol Lett       Date:  2012-04-23       Impact factor: 2.967

4.  MRI diagnosis of ovarian fibrothecomas: tumour appearances and oestrogenic effect features.

Authors:  B Wu; W J Peng; Y J Gu; Y F Cheng; J Mao
Journal:  Br J Radiol       Date:  2014-03-27       Impact factor: 3.039

5.  Magnetic resonance histology of age-related nephropathy in the Sprague Dawley rat.

Authors:  Luke Xie; Rachel E Cianciolo; Brian Hulette; Ha Won Lee; Yi Qi; Gary Cofer; G Allan Johnson
Journal:  Toxicol Pathol       Date:  2012-04-13       Impact factor: 1.902

6.  Bilateral ovarian fibrothecoma. An uncommon cause of a large pelvic mass.

Authors:  Nikolaos S Salemis; Nikolaos Panagiotopoulos; Vera Papamichail; Konstantinos Kiriakopoulos; Evangelos Niakas
Journal:  Int J Surg Case Rep       Date:  2010-12-13

Review 7.  Magnetic resonance imaging findings of cystic ovarian tumors: major differential diagnoses in five types frequently encountered in daily clinical practice.

Authors:  Ayumi Ohya; Yasunari Fujinaga
Journal:  Jpn J Radiol       Date:  2022-08-02       Impact factor: 2.701

8.  Magnetic resonance imaging findings in pseudo-Meigs' syndrome associated with a large uterine leiomyoma: a case report.

Authors:  Danai Chourmouzi; Elissavet Papadopoulou; Antonios Drevelegas
Journal:  J Med Case Rep       Date:  2010-04-28

Review 9.  Ovarian cancer: the clinical role of US, CT, and MRI.

Authors:  Kaori Togashi
Journal:  Eur Radiol       Date:  2003-12       Impact factor: 5.315

Review 10.  MR imaging in ovarian cancer.

Authors:  S A A Sohaib; R H Reznek
Journal:  Cancer Imaging       Date:  2007-10-01       Impact factor: 3.909

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