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Struma ovarii: appearance on MR images
Authors:I. Joja  T. Asakawa  A. Mitsumori  T. Nakagawa  Y. Hiraki  T. Kudo  M. Ando  N. Akamatsu
Affiliation:(1) Department of Radiology, Okayama University Medical School, 2-5-1 Shikata-cho, Okayama-City, Okayama 700, Japan, JP;(2) Department of Obstetrics and Gynecology, Okayama University Medical School, 2-5-1 Shikata-cho, Okayama-City, Okayama 700, Japan, JP;(3) Department of Obstetrics and Gynecology, Kurashiki Seijinbyo Center, 250 Bakuro-cho, Kurashiki-City, Okayama 710, Japan, JP;(4) Department of Obstetrics and Gynecology, Himeji Red Cross Hospital, 5-30-1 Tatsuno-cho, Himeji-city, Hyogo 670, Japan, JP
Abstract:Background: The purpose of this multi-institutional study was to examine the appearance of struma ovarii on magnetic resonance (MR) images. Methods: MR images of 12 patients with histologically proven struma ovarii were retrospectively reviewed. All patients underwent T1-weighted and T2-weighted imaging. Contrast-enhanced T1-weighted images with Gd-DTPA were available in 10 patients. The following determinations were made: tumor morphology, signal intensities, contrast-enhancement effects of solid components with Gd-DTPA, and comparison of MR images with resected specimens. Results: All 12 patients had both cystic and solid components, with a multilobulated surface and thickened septa. Signal intensities on T1-weighted images were mainly low, partly intermediate to high, or high, and those on T2-weighted images were mainly high, with different signal intensities. Contrast-enhancement effects were marked or moderate. The contents that showed low signal intensities on T1-weighted images and signal voids or low signal intensities on T2-weighted images were viscid gelatinous materials. Conclusions: A multicystic tumor with a solid component, a multilobulated surface, and signal intensities that indicate the presence of viscid gelatinous materials appear to be a characteristic MR finding of struma ovarii. Received: 10 April 1997/Accepted after revision: 7 July 1997
Keywords:: Struma ovarii—  Ovaries—  MR imaging—  Neoplasms—  Thyroid.
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