Hilal Sahin

I saw the “sea anemone” sign: Puffy face of borderline ovarian tumors

The sea anemone sign is a radiologic sign seen on magnetic resonance imaging (MRI) studies that indicates the morphological development of serous borderline ovarian tumors (SBOTs), as papillary projections originating from the wall of the cystic lesion. The presence of T2 hypointense fibrous stroma in the center of the papilla is a helpful tip in the diagnosis of SBOTs. Those projections might also be assumed to have a frond-like appearance which can be seen as branching papillary projections, especially on T2-weighted imaging. The term "sea anemone" sign is described by Tanaka et al. who deemed it as a "hallmark" feature of surface SBOTs.

Non-contrast MRI can accurately characterize adnexal masses: a retrospective study

Abstract Objective To determine the accuracy of interpretation of a non-contrast MRI protocol in characterizing adnexal masses. Methods and materials Two hundred ninety-one patients (350 adnexal masses) who underwent gynecological MRI at our institution between the 1st of January 2008 and the 31st of December 2018 were reviewed. A random subset (102 patients with 121 masses) was chosen to evaluate the reproducibility and repeatability of readers’ assessments. Readers evaluated non-contrast MRI scans retrospectively, assigned a 5-point score for the risk of malignancy and gave a specific diagnosis. The reference standard for the diagnosis was histopathology or at least one-year imaging follow-up. Diagnostic accuracy of the non-contrast MRI score was calculated. Inter- and intra-reader agreement was analyzed with Cohen’s kappa statistics. Results There were 53/350 (15.1%) malignant lesions in the whole cohort and 20/121 (16.5%) malignant lesions in the random subset. Good agreement between readers was found for the non-contrast MRI score (к = 0.73, 95% confidence interval [CI] 0.58–0.86) whilst the intra-reader agreement was excellent (к = 0.81, 95% CI 0.70–0.88). The non-contrast MRI score value of ≥ 4 was associated with malignancy with a sensitivity of 84.9%, a specificity of 95.9%, an accuracy of 94.2% and a positive likelihood ratio of 21 (area under the receiver operating curve 0.93, 95% CI 0.90–0.96). Conclusion Adnexal mass characterization on MRI without the administration of contrast medium has a high accuracy and excellent inter- and intra-reader agreement. Our results suggest that non-contrast studies may offer a reasonable diagnostic alternative when the administration of intravenous contrast medium is not possible. Key Points • A non-contrast pelvic MRI protocol may allow the characterization of adnexal masses with high accuracy. • The non-contrast MRI score may be used in clinical practice for differentiating benign from malignant adnexal lesions when the lack of intravenous contrast medium precludes analysis with the O–RADS MRI score.

Assessment of magnetic resonance imaging findings in ovarian granulosa cell tumors along with clinical prognostic factors

AbstractAimTo determine the role of preoperative MRI in the diagnosis and treatment of patients with granulosa cell tumors (GCTs) of the ovary.Materials and MethodsTwenty‐four patients who were operated on between 2018 and 2022 and who were pathologically diagnosed with GHT and met the inclusion criteria were retrospectively examined. The findings were compared with the patients' demographic data, symptoms, surgical findings (laterality, stage, lymph node involvement, endometrial pathology, tumor size), and CA‐125 levels.ResultsThe final cohort included 24 patients with a mean age of 54.71 ± 16.52. All the patients had the pathological diagnosis of adult type GCT. In the morphological evaluation, the most common finding was a solid‐cystic mixed type (14 patients, 58.3%), while intratumoral hemorrhage signal was observed in 10 patients (41.7%). In the majority of cases (91.7%), the mass showed regular contours. The honeycomb/Swiss cheese sign was detected in 54.2% of the cases. When the T1 and T2 signal of the solid component of the mass were examined relative to the myometrium, the majority of GCTs appeared isointense on both sequences (83.3% and 62.5%, respectively). The mean ADC value of the solid component obtained from diffusion‐weighted imaging was 0.78 ± 0.15 × 10−3. Pelvic fluid was observed in 41.7% of the cases. The average endometrial thickness was 9.74 ± 6.43 mm. Thickened endometrium more than 9 mm was observed in 9 out of the remaining 21 patients (42.9%).ConclusionUnderstanding the key imaging features for GCTs plays an essential role in the diagnosis and guiding the treatment effectively.

The relationship between imaging‐based body composition parameters and disease prognosis in patients with endometrial cancer

Abstract Background Obesity is known as a risk factor for endometrial cancer (EC). Only a few studies investigate the relationship between sarcopenia and sarcopenic obesity and EC. In this study, our aim was to investigate the relationship between the cross‐sectional imaging‐based body composition parameters and the disease prognosis in low‐grade (LG) and high‐grade (HG) EC. Materials and Methods We conducted a retrospective study in women diagnosed with low and high‐grade EC between January 2014 and May 2022 who had abdominal MRI and thorax CT as a part of routine staging workup. We used the skeletal muscle index (SMI) at the level of the third lumbar vertebra to assess sarcopenia on CT. The T2‐weighted sequence at the level of the L2–L3 intervertebral disc is used for visceral fat area (VFA), subcutaneous fat area (SFA), and total fat area (TFA). Two radiologists in consensus, calculated the parameters. Results A total of 250 EC patients (144 low‐grade EC, 106 high‐grade EC).Sarcopenia was observed in 122 (48.8%) patients, and sarcopenic obesity was found in 82 (32.8%) patients. Although there was an increase in VFA in cases with high‐grade EC, there was no significant difference in terms of SFA. Additionally, the frequency of sarcopenia and sarcopenic obesity was higher in cases with high‐grade EC. There was no association between sarcopenia and age, histological type, FIGO staging, or comorbidity in the univariate analysis. However, BMI was found to be associated with sarcopenia. Conclusions Quantitative radiological measurement of sarcopenia, sarcopenic obesity, and body fat composition can be used as novel parameters in the prediction of disease prognosis in endometrial cancer.