Comprehensive review of imaging features of sex cord-stromal tumors of the ovary

CT-based radiomic analysis for categorization of ovarian sex cord-stromal tumors and epithelial ovarian cancers

PURPOSE

To evaluate the diagnostic potential of radiomic analyses based on machine learning that rely on contrast-enhanced computerized tomography (CT) for categorizing ovarian sex cord-stromal tumors (SCSTs) and epithelial ovarian cancers (EOCs).

METHODS

We included a total of 225 patients with 230 tumors, who were randomly divided into training and test cohorts with a ratio of 8:2. Radiomic features were extracted from each tumor and dimensionally reduced using LASSO. We used univariate and multivariate analyses to identify independent predictors from clinical features and conventional CT parameters. Clinic-radiological model, radiomics model and mixed model were constructed respectively. We evaluated model performance via analysis of the receiver operating characteristic (ROC) curve and area under ROC curves (AUCs), and compared it across models using the Delong test.

RESULTS

We selected a support vector machine as the best classifier. Both radiomic and mixed model achieved good classification accuracy with AUC values of 0.923/0.930 in the training cohort, and 0.879/0.909 in the test cohort. The mixed model performed significantly better than the model based on clinical radiological information, with AUC values of 0.930 versus 0.826 (p = 0.000) in the training cohort and 0.905 versus 0.788 (p = 0.042) in the test cohort.

CONCLUSION

Radiomic analysis based on CT images is a reliable and noninvasive tool for identifying SCSTs and EOCs, outperforming experience radiologists.

Imaging features of intra-abdominal and intra-pelvic causes of hirsutism

Hirsutism is a relatively common disorder which affects approximately 5% to 15% of women. It is defined by excessive growth of terminal hair in women, which primarily affects areas dependent on androgens, such as the face, abdomen, buttocks, and thighs. Hirsutism can be caused by a variety of etiologies, which are most often not lifethreatening. However, in some cases, hirsutism can be an indicator of more serious underlying pathology, such as a neoplasm, which may require further elucidation with imaging. Within the abdomen and pelvis, adrenal and ovarian pathologies are the primary consideration. The goal of this manuscript is to review the etiologies and imaging features of various intra-abdominal and intra-pelvic causes of hirsutism.

MR imaging findings of ovarian lymphoma: differentiation from other solid ovarian tumors

PURPOSE

To evaluate magnetic resonance imaging (MRI) findings for distinguishing ovarian lymphomas from other solid ovarian tumors.

METHODS

This retrospective multicenter study included 14 women (median age, 46.5 years; range, 26-81 years) with surgically proven ovarian lymphoma and 28 women with solid ovarian tumors other than lymphoma. We conducted a subjective image analysis of factors including laterality, shape, composition, T2 signal intensity (SI), heterogeneity, diffusion restriction, enhancement, and presence of peripheral follicles. A generalized estimating equation was used to identify MRI findings that could be used to distinguish ovarian lymphomas from other solid ovarian tumors. Diagnostic performance of the identified MRI findings was assessed using the area under the receiver-operating characteristic curve (AUC).

RESULTS

Ovarian lymphoma more frequently showed homogeneous high SI on T2-weighted imaging (81.8% vs. 19.4%, P < 0.001) and peripheral ovarian follicles (40.9% vs. 8.3%, P = 0.01) than other ovarian solid tumors did. Bilaterality, shape, size, diffusion restriction, and enhancement did not differ between the two groups (P > 0.05 for all). Homogeneous high SI on T2-weighted imaging was the only independent MRI finding (OR = 15.19; 95% CI 3.15-73.33; P = 0.001) in the multivariable analysis. Homogeneous high SI on T2-weighted imaging yielded an AUC of 0.82 with a sensitivity of 81.8% and specificity of 80.6% in distinguishing ovarian lymphomas from other solid ovarian tumors.

CONCLUSION

Homogeneous high signal intensity on T2-weighted imaging was helpful in distinguishing ovarian lymphomas from other solid ovarian tumors. Peripheral ovarian follicles might be an additional clue that suggests a diagnosis of ovarian lymphoma.

Sex Cord-Stromal Tumors of the Ovary

Ovarian sex cord-stromal tumors (OSCSTs) are a rare group of ovarian neoplasms that can be benign or malignant. They are classified into pure sex cord tumors, pure stromal tumors, and mixed SCST. The most common malignant OSCSTs are adult granulosa cell tumors. In contrast to the more common ovarian epithelial malignancies, OSCSTs present in younger patients, often at early stages, with better prognoses. Imaging features are variable, and pathology is required for diagnosis. However, certain tumors demonstrate characteristic imaging appearances that can be useful in narrowing the differential diagnosis.

Magnetic resonance imaging radiomics to differentiate ovarian sex cord-stromal tumors and primary epithelial ovarian cancers

Objective

To evaluate the diagnostic ability of magnetic resonance imaging (MRI) based radiomics and traditional characteristics to differentiate between Ovarian sex cord-stromal tumors (SCSTs) and epithelial ovarian cancers (EOCs).

Methods

We consecutively included a total of 148 patients with 173 tumors (81 SCSTs in 73 patients and 92 EOCs in 75 patients), who were randomly divided into development and testing cohorts at a ratio of 8:2. Radiomics features were extracted from each tumor, 5-fold cross-validation was conducted for the selection of stable features based on development cohort, and we built radiomics model based on these selected features. Univariate and multivariate analyses were used to identify the independent predictors in clinical features and conventional MR parameters for differentiating SCSTs and EOCs. And nomogram was used to visualized the ultimately predictive models. All models were constructed based on the logistic regression (LR) classifier. The performance of each model was evaluated by the receiver operating characteristic (ROC) curve. Calibration and decision curves analysis (DCA) were used to evaluate the performance of models.

Results

The final radiomics model was constructed by nine radiomics features, which exhibited superior predictive ability with AUCs of 0.915 (95%CI: 0.869-0.962) and 0.867 (95%CI: 0.732-1.000) in the development and testing cohorts, respectively. The mixed model which combining the radiomics signatures and traditional parameters achieved the best performance, with AUCs of 0.934 (95%CI: 0.892-0.976) and 0.875 (95%CI: 0.743-1.000) in the development and testing cohorts, respectively.

Conclusion

We believe that the radiomics approach could be a more objective and accurate way to distinguish between SCSTs and EOCs, and the mixed model developed in our study could provide a comprehensive, effective method for clinicians to develop an appropriate management strategy.

Combination of clinical and MRI features in diagnosing ovarian granulosa cell tumor: A comparison with other ovarian sex cord-gonadal stromal tumors

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.

Ovarian Sertoli Cell Tumor with Immature Prepubertal-like Sertoli Cell Component: A Case Report and Literature Review

The Sertoli cell tumor of the ovary is a rare ovarian tumor with non-specific symptoms. According to the literature, endocrine manifestations occur in two-thirds of patients, but testosterone production is extremely rare. Typically, it is a unilateral benign tumor of the ovary that most commonly presents in adolescents and young women of childbearing potential. We report a 29-year-old patient, previously diagnosed to have polycystic ovarian syndrome, who presented with complaints of amenorrhea for the past three years. A transvaginal ultrasound scan revealed polycystic structure ovaries and a solid cystic formation of 32 × 31 mm size with strong blood flow in the left ovary. The laboratory tests reported an elevated testosterone level. During laparoscopic surgery, a solid, yellowish tumor was removed and the left ovary was resected. Histological examination revealed a left ovary Sertoli cell tumor with an immature prepubertal-like Sertoli cell component. Following surgery, the serum testosterone levels returned to normal and the menstrual cycle became regular. Due to the substantially low incidence of ovarian Sertoli cell tumors, information on their clinical behavior, morphologic spectrum, optimal management, and prognosis is limited. They are characterized by a wide variety of clinical manifestations, treated surgically, and, if diagnosed at an early stage, have good prognosis. We emphasize the extraordinarily rare clinical presentation of this case report.

Use of staging for sex cord stromal tumours

PURPOSE OF REVIEW

Sex cord-stromal tumours (SCSTs) are rare ovarian cancers. As in the literature, only small case series or case reports are published, gathering solid evidence about their management is challenging. Surgery plays a pivotal role, and accurate staging is one of the most important prognostic factors. This review focuses on the current evidence for surgical staging in the management of SCSTs.

RECENT FINDINGS

Staging procedures have been inferred by epithelial ovarian cancers; however, they are often only partially performed, and most SCSTs therefore end up incompletely staged, raising the issue of the need for restaging or further treatments. In addition, some parts of the staging procedure have been questioned over the years, and lymphadenectomy is now considered unnecessary for SCSTs.The generally favourable prognosis of SCSTs, the introduction of minimally invasive surgery and fertility-sparing approaches is empowering the question of which staging procedures are beneficial for these patients. We reviewed the role of each staging procedure proposed by the guidelines in light of new scientific updates.

SUMMARY

Surgical staging should always be performed. It includes peritoneal samplings (peritoneal washing, multiple peritoneal biopsies, omental biopsy and biopsy of any suspicious area), whereas lymphadenectomy could be omitted. Laparoscopy may be considered a feasible approach.