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Home  >  Medical Research Archives  >  Issue 149  > Characterization of Ovarian Granulosa Cell Tumors using Magnetic Resonance Imaging
Published in the Medical Research Archives
Jun 2022 Issue

Characterization of Ovarian Granulosa Cell Tumors using Magnetic Resonance Imaging

Published on Jun 20, 2022

DOI 

Abstract

 

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.

Author info

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

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