Combination of clinical and MRI features in diagnosing ovarian granulosa cell tumor: A comparison with other ovarian sex cord-gonadal stromal tumors. Issue 158 (January 2023)

• Record Type: Journal Article
• Authors: Zhang, Jing; Zhang, Yi; Guo, Youmin
• Is Part Of: European journal of radiology. Issue 158(2023)
• Publication Date: 2023-01
• Subjects: Ovary -- Granulosa cell tumor -- Sex Cord-Gonadal Stromal Tumors -- Clinical -- MRI -- Diagnostic imaging; OGCTs Ovarian granulosa cell tumors -- OSGTs Ovarian sex cord-gonadal stromal tumors -- DWI Diffusion-weighted imaging -- ADC Apparent diffusion coefficient -- ROI Region of interest -- T1WI T1-weighted images -- T2WI T2-weighted images -- FS-T2WI fat-suppressed T2-weighted images -- SLCT Sertoli-leydig cell tumors -- SST Sclerosing stroma tumors -- ROC Receiver operating characteristic -- AUC Area under the ROC curve -- FSH Follicle stimulating hormone -- LH Luteinizing hormone -- E2 Estradiol -- TE Testosterone; Medical radiology -- Periodicals; Radiology -- Periodicals; Radiologie médicale -- Périodiques; Medical radiology; Periodicals; 616.075705
• DOI: 10.1016/j.ejrad.2022.110593
• Languages: English
• ISSNs: 0720-048X

Abstract

Abstract: Purpose: To evaluate the combination of magnetic resonance imaging (MRI) findings and clinical features in diagnosing ovarian granulosa cell tumor (OGCT) and comparing OGCTs with other ovarian sex cord-gonadal stromal tumors (OSGTs). Methods: Women who underwent MRI and were surgically confirmed with OSGTs between January 2015 and January 2022 were included in the study. Histology was used as a primary method of diagnosis. T1WI, T2WI, and DWI MR scans were performed for all patients. All MR images were reviewed by two radiologists. The clinic baseline characteristics of all patients were recorded. Results: A total of 58 patients were enrolled, with 21 OGCTs found in 20 patients and 39 other OSGTs found in 38 patients. In terms of clinical, the proportion of vaginal discharge/bleeding and menstrual abnormalities were significantly higher in OGCTs than in the control group. A multivariate analysis of the combined clinical MRI revealed that symptomatic, T2 signals of the solid component, Honeycomb-sign, Swiss cheese-sign, and ADC values were independent features for discriminating between OGCTs and other OSGTs. Clinical features, MRI features, and a combined model were established; the areas under the curve of the three models in predicting OGCTs and other OSGTs were 0.694, 0.852, and 0.927, respectively. The DeLong test showed that the combined model had the highest efficiency in predicting OGCTs ( p < 0.05), which was significantly different from the AUC of the other two models ( p < 0.05). Conclusions: Combining clinic and MRI findings helps differentiate OGCTs from other OSGTs. These results help optimize clinical management and indicate that radiologists should focus on clinical information to help improve diagnostic accuracy.