Background: The aim of this study is to identify the inflammatory markers which predict a tubo-ovarian abscess (TOA) in the most accurate way. Methods: This study involves 312 women. Preoperative inflammatory markers in the study group were compared with those in the healthy control group to identify the most efficient predictor of TOA with a high sensitivity and specificity. The recommended cutoff values of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), white blood cell count, and red cell distribution width were determined using receiver operating characteristic curve (ROC) analyses. Results: The area under the curve (AUC = 0.99) in the ROC analysis was found to be statistically significant for NLR (p < 0.001) with a cutoff value of ≥4.15 (95% CI 0.97-1.00, sensitivity 95.2%, specificity 99.4%). The positive predictive value of NLR was 99.2%, and the negative predictive value was 96.7% (p < 0.001). The recommended threshold for PLR was found to be 164.37 (AUC = 0.95, 95% CI 0.93-0.98, sensitivity 86.7%, specificity 92%), and the cutoff point of the white blood cell count in the ROC analysis was 9.55 × 103/μl (AUC = 0.90, 95% CI 0.87-0.95, sensitivity 78.68%, specificity 96.68%). Conclusion: Preoperative NLR and PLR improve the predictive value of serum markers for the presence of TOA.
The second most common epithelial tumor of the ovary is mucinous-type, and it constitutes 8-10% of all ovarian tumors. The recurrence of mucinous cystadenoma is very rare after complete excision. Only four such cases have been reported till date. The case presented in this report is the fifth, who had her initial surgery performed by gynecologic oncology team by laparotomy and was followed up by the same group. After recurrence at the same ovary, the patient underwent laparoscopic evaluation and unilateral salpingoophorectomy was performed. The final histopathological diagnosis was mucinous cystadenoma, just the same as the initial cyst.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.