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MR-Staging of Cancer of the Corpus Uteri: Problem of Ovarian Lesions Differentiation

Abstract

Objective. To determine the possibilities of differential diagnostics of ovarian tumors revealed at MRI staging of cancer of the corpus uteri. Materials and methods. MRI staging using 1.5 T unit was performed in 131 patients with endometrial cancer 15 patients of this cohort had ovarian lesions and were included in further study with clinical, laboratory and MRI data analysis. Among them, metastatic ovarian lesions (FIGO stage IIIA) were histologically proved in 7 (5.3%) cases, synchronous ovarian carcinoma in 6 (4.6%) cases, synchronous stromal ovarian tumors in 2 (1.5%) patients (including one case of fibrosarcoma). Results. Synchronous and metastatic ovarian cancer showed predominantly cystic-and-solid structure, in contradistinction to solid stromal tumors. In cases of synchronous endometrial and ovarian cancer trends for early manifestation of the disease, larger ovarian lesions size and bilateral involvement were identified. Deep myometrial invasion of endometrial cancer was more specific for cases of metastatic lesions. Ca125 showed statistically significant higher values in cases of metastatic process. Conclusion. Despite of differences in clinical and MRI features of synchronous and metastatic ovarian tumors, histological verification is needed in most of cases for diagnosis.

About the Authors

Yuliya Viktorovna Proshina
Medical Radiological Research Centre of the Russian Ministry of Health
Russian Federation


Aleksei Anatolevich Proshin
Medical Radiological Research Centre of the Russian Ministry of Health
Russian Federation


Tatyana Pavlovna Berezovskaya
Medical Radiological Research Centre of the Russian Ministry of Health
Russian Federation


Nataliya Ivanovna Sychenkova
Medical Radiological Research Centre of the Russian Ministry of Health
Russian Federation


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Review

For citations:


Proshina Yu.V., Proshin A.A., Berezovskaya T.P., Sychenkova N.I. MR-Staging of Cancer of the Corpus Uteri: Problem of Ovarian Lesions Differentiation. Medical Visualization. 2014;(3):124-134. (In Russ.)

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ISSN 1607-0763 (Print)
ISSN 2408-9516 (Online)