Characterization of Ovarian Granulosa Cell Tumors using Magnetic Resonance Imaging

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Pamela Causa Andrieu Refky Nicola Federico Lipsich Daniel Adri Mariaangeles Gomez Melina Pol Alejandra Wernicke Gabriel Saraniti Carolina Chacon


Purpose: To identify the MRI features that aid in the characterization of ovarian granulosa cell tumors.

Materials and methods: 11 MR pelvis of an adult woman with pathology-proven ovarian granulosa cell tumors with surgical pathology.

We evaluated the patient's age, Ca-125, size, laterality, and with MRI features such as indirect signs (i.e., thickened endometrium > 0.9 cm), morphology (cystic, solid-cystic, or solid), subacute hemorrhage, T2 signal (low or intermediate-to-high), restricted diffusion (B values: 0, 50, 1000 sec/mm3/ADC), and dynamic enhancement (intense or similar to myometrium). Also, the presence of ascites, peritoneal implants, or adenopathy.

Results: The final cohort included 11 women with a surgical-pathological diagnosis of granulosa cell tumors. The median age was 52.4 years (range, 17-80). The Ca-125 level was with a median within normal limits. The median size was 9.4 cm. Most cases were unilateral (81.8%) and more frequent on the left (54.5%).

MRI Analysis: 36.4% had endometrial thickening. Ovarian granulosa cell tumors were polymorphous: cystic (54.6%), mixed solid-cystic (9.1%), and solid (36.3%). Most GC had intermediate to high signal on T2 (90.9%), restricted diffusion (81.8%), intense enhancement (81.8%), and 36.4% had intraparenchymal bleeding. 9.1% had associated implants/adenopathy/ ascites at diagnosis.

Conclusion: The MRI features characteristic of ovarian granulosa cell tumors were the polymorphous morphology, an intense enhancement to the myometrium, restricted diffusion, and the presence of intraparenchymal hemorrhage.

Keywords: Granulosa cell tumor of the ovary, magnetic resonance imaging, ovarian neoplasms, Neoplasms, Germ Cell, Embryonal

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How to Cite
CAUSA ANDRIEU, Pamela et al. Characterization of Ovarian Granulosa Cell Tumors using Magnetic Resonance Imaging. Medical Research Archives, [S.l.], v. 10, n. 6, june 2022. ISSN 2375-1924. Available at: <>. Date accessed: 27 may 2024. doi:
Research Articles


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