ABSTRACT
SUMMARY OBJECTIVE: This study was carried out to investigate the differentiation of mucinous borderline ovarian tumor from mucinous ovarian carcinoma using magnetic resonance imaging. METHODS: We evaluated 77 women patients who underwent abdominal magnetic resonance imaging due to pelvic mass. magnetic resonance imaging was reviewed by an experienced radiologist. A total of 70 women patients were included in the study. The magnetic resonance imaging features were retrospectively evaluated and compared between the two pathologies. RESULTS: There was no difference between the two groups in terms of maximum tumor size. Age at diagnosis was 56.29±11.92 in the mucinous ovarian carcinoma group and 44.74±13.60 in the mucinous borderline ovarian tumor group (p<0.05). A significant difference was found between the two groups, and it was observed that mucinous borderline ovarian tumors appeared in the younger age group compared to mucinous ovarian carcinomas. Presence of ascites, peritoneal dissemination, lymphadenopathy, and mural nodules was found significantly more frequently in mucinous ovarian carcinomas than in mucinous borderline ovarian tumors. Honeycomb appearance was found more frequently in mucinous borderline ovarian tumor patients than in mucinous ovarian carcinoma patients. CONCLUSION: magnetic resonance imaging findings of these two pathologies overlapped considerably. Compared with mucinous borderline ovarian tumors, mucinous ovarian carcinomas frequently had mural nodules larger than 5 mm, larger tumor size, peritoneal dissemination, and abnormal ascites.
ABSTRACT
Aim: This study investigated potential preoperative predictors of pelvic lymph node (PLN) and para-aortic LN (PaLN) involvement in cervical cancer (CC). Materials and Methods: This study retrospectively analyzed 283 patients diagnosed with early (stage IA1–IIA) CC who underwent retroperitoneal LN dissection between January 1992 and February 2015. Several risk factors that are believed to influence PLN and PaLN involvement in CC were analyzed as follows: age >50 years, lymphovascular space invasion (LVSI), tumor size ≥2 cm, hemoglobin <12 g/dL, and nonsquamous cell histologic type. Results: LVSI (odds ratio [OR] = 11.3, 95% confidence interval [CI] = 5.2–24.3) and tumor size (OR = 3.2, 95% CI = 1.4–7.2) were independent predictors of PLN involvement. None of the factors predicted PaLN involvement in a regression analysis. However, all nine patients who had PaLN involvement also had PLN involvement. Conclusion: LVSI and tumor size independently increase the risk of PLN involvement
ABSTRACT
Objectives: This retrospective study was designed to evaluate the importance of tissue expressions of caveolin‑1 (Cav‑1) and AT‑rich interactive domain 1 alpha (ARID‑1A) which are known as signal regulator and tumor suppressor in differential diagnosis of uterine smooth muscle tumors (SMTs). Materials and Methods: Thirty patients recently diagnosed as uterine SMTs at the Tepecik Training and Research Hospital were identified using pathology databases. Immunohistochemical stains for Cav‑1 and ARID‑1A were performed. Results: In this series, there were 10 leiomyosarcomas (LMSs), 10 uterine smooth muscle tumors of uncertain malignant potentials (STUMPs), and 10 leiomyomas (LMs). Cav‑1 expression located cytoplasmic or perivascular area. Cytoplasmic Cav‑1 expression was determined in 5 LMSs and 2 STUMPs while perivascular Cav‑1 expression was determined in 9 LMSs and 2 STUMPs. Statistically, it was determined that if the tumor becomes malignant and more invasive, it gains the perivascular Cav‑1 expression (P = 0.029). On the other hand, the mean nuclear staining rate for ARID‑1A in LMSs (63 ± 23.4%) was higher than both STUMPs (60 ± 18.5%) and LMs (34.5 ± 16.5%). Statistically, it was determined that the expression of ARID‑1A was significantly downregulated in LMs when compared with STUMPs and LMSs (P = 0.004). Conclusions: Our findings were demonstrated that perivascular Cav‑1 expression was seen to be a marker for malignancy of uterine SMTs. Similarly, we found to link of ARID‑1A expression and the aggressiveness of SMTs. Therefore, it may be suggested that Cav‑1 and ARID‑1A may act as predictive biomarkers in uterine SMTs.