Objectives: In young patients with borderline tumors the fertility-sparing treatment is indicated, thus the preoperative investigation is important. The aim of this study was to perform a comparative assessment of sensitivity and specificity of selected ultrasonographic and clinical parameters for the diagnoses of borderline tumors and ovarian cancers.
Methods: We retrospectively analyzed 57 patients who underwent surgical treatment in the Maria Sklodowska-Curie Memorial Cancer Center from Jan 01, 2008 to Dec 31, 2009. Ovarian cancers were diagnosed in 41 patients, and borderline ovarian tumors in 16 patients. Statistical model was developed to determine independent predictive factors that would be useful in preoperative differentiation between both tumors. The model included the following factors: menopausal status, tumor morphology, wall thickness (including outgrowths), septal thickness, echogenicity, resistive index, serum CA-125 level, and free fluid in the peritoneal cavity.
Results: Based on the statistical model developed, independent predictive factors in the differentiation between ovarian cancers and borderline tumors included the menopausal status (P=0.005), tumor echogenicity (P=0.047) and the presence of free fluid in the Douglas pouch (P=0.043). With the cutoff value of 13 (with scores below 13 indicating a borderline ovarian tumor, and scores of ≥13 indicating ovarian cancer), sensitivity was 90.2% and specificity was 87%.
Conclusions: Our proposed model of preoperative evaluation has a sensitivity of 90% in the differentiation between ovarian cancers and borderline tumors. When combined with intraoperative findings, it allows optimal surgical therapeutic decisions to be made in patients with borderline ovarian tumors.
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http://dx.doi.org/10.1007/s00404-012-2453-9 | DOI Listing |
Cancer Med
January 2025
Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.
Background: Borderline ovarian tumors (BOTs) differ from ovarian carcinomas in their clinical presentation and behavior, yet their molecular characteristics remain poorly understood. This study aims to address this gap by integrating whole-exome sequencing (WES) and RNA sequencing (RNA-seq) to compare BOTs with high-grade serous carcinoma (HGSC), endometrioid carcinoma (EC), and clear-cell carcinoma (CCC).
Objective: To elucidate the molecular features of BOTs and evaluate their similarities and differences in comparison to HGSC, EC, and CCC.
Eur J Obstet Gynecol Reprod Biol
January 2025
Medical Oncology Department, Marqués de Valdecilla University Hospital, IDIVAL, Cantabria, Spain.
Objectives: To assess the recurrence rate and quality of life (QOL) in women with a history of borderline ovarian tumours (BOTs) based on the type of surgery (conservative vs non-conservative) in Spain.
Study Design: A retrospective analysis was conducted of 85 women treated for BOTs between 2007 and 2023 at two hospitals. QOL questionnaires were administered face-to-face to eligible patients.
Cureus
December 2024
Obstetrics and Gynecology, Cape Fear Valley Health, Fayetteville, USA.
Pelvic masses in women can originate from both gynecological and non-gynecological sources, necessitating careful evaluation to ensure appropriate treatment. Gynecological masses can range from functional ovarian cysts and tubo-ovarian abscesses to malignant and benign tumors. This case report presents a mucinous borderline ovarian tumor (BOT), a rare type of ovarian neoplasm.
View Article and Find Full Text PDFAcad Radiol
January 2025
Department of Radiology, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, China (X.W., X.C., Y.C., S.C., M.W.). Electronic address:
Rationale And Objectives: To develop and validate a deep learning radiomics nomogram (DLRN) based on T2-weighted MRI to distinguish between borderline ovarian tumors (BOTs) and stage I epithelial ovarian cancer (EOC) preoperatively.
Materials And Methods: This retrospective multicenter study enrolled 279 patients from three centers, divided into a training set (n = 207) and an external test set (n = 72). The intra- and peritumoral radiomics analysis was employed to develop a combined radiomics model.
J Pediatr Hematol Oncol
January 2025
Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX.
Borderline ovarian tumors (BOTs) are rare in pediatric populations and typically follow an indolent clinical course with few reported recurrences. Consequently, guidelines for pediatric BOT management are minimal. We retrospectively examined the management of 15 adolescent patients who underwent BOT resection at our institution over 14 years, with a specific focus on recurrence.
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