| Imaging features and pathologic characteristics of ovarian thecoma. | |
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MedLine Citation:
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PMID: 22261769 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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OBJECTIVE: To analyze the imaging findings of ovarian thecoma and to better understand the tumor features based on aspect of computed tomography and magnetic resonance images. METHODS: Nineteen ovarian thecomas confirmed by histopathologic examination were analyzed retrospectively. Image characteristics were analyzed and compared with those of the pathologic features. RESULTS: The mean diameter of tumors was 9.6 cm. The masses were well defined (n = 17) or ill defined (n = 2) and appeared solid with cystic areas (n = 11), entirely solid (n = 4), or cystic with solid components (n = 4). On T2-weighted/spectral adiabatic inversion recovery (T2WI/SPAIR) images, 12 cases appeared isointense or slightly hyperintense. Of the 12 cases, 8 had patchy hypersignal areas. On computed tomographic images, 7 cases showed hypodensity or isodensity. All tumors exhibited mild enhancement. On pathologic examination, the tumor was composed of spindle cells with a moderate amount of cytoplasm. CONCLUSION: Imaging manifestations of ovarian thecoma are various and nonspecific. However, a large, well-defined mildly enhanced solid mass with cystic areas and especially isointense or slightly hyperintense on T2WI/SPAIR sequence in pelvic cavity may suggest the diagnosis of ovarian thecoma. |
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Authors:
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Xinchun Li; Weidong Zhang; Guangbin Zhu; Congpeng Sun; Qingyu Liu; Yuechun Shen |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of computer assisted tomography Volume: 36 ISSN: 1532-3145 ISO Abbreviation: J Comput Assist Tomogr Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-01-20 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7703942 Medline TA: J Comput Assist Tomogr Country: United States |
Other Details:
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Languages: eng Pagination: 46-53 Citation Subset: IM |
Affiliation:
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From the *Department of Radiology, The First Affiliated Hospital of Guangzhou Medical College; †Department of Radiology, Cancer Center, Sun Yat-sen University; ‡Department of Radiology, The Second Affiliated Hospital of Sun Yat-sen University; and §Department of Internal Medicine, The First Affiliated Hospital of Guangzhou Medical College, Guangzhou, P.R. China. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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