Objective: To evaluate the efficacy of laparoscopic conservative surgery in young women with borderline ovarian tumors who want to preserve their childbearing potential, and to assess whether pregnancy influences the recurrence rate during the follow-up evaluation period.
Design: Retrospective study.
Setting: Center for Reconstructive Pelvic Endosurgery, Reproductive Medicine Unit, S. Orsola Hospital, University of Bologna, Italy.
Patient(s): Nineteen women (mean age 27.4 +/- 4.7) with borderline ovarian tumors who underwent laparoscopy between January 1995 and January 1998. All of the women wanted to preserve their fertility.
Intervention(s): A standardized conservative laparoscopic approach and a strict follow-up schedule.
Main Outcome Measure(s): A complete preoperative examination.
Result(s): Follow-up evaluations (mean 42 +/- 19 months) were made available to all patients. Among 19 patients, 10 attempted pregnancy and 6 conceived spontaneously. All six pregnancies went to term and the disease did not affect the gestation or the follow-up period after the pregnancy (24.5 +/- 15.7 months).
Conclusion(s): Conservative laparoscopic management of borderline ovarian tumors is a potentially safe alternative in young women who want to retain their childbearing potential. Fertility and pregnancy outcome remain excellent in these women. Our preliminary data seem to indicate that the recurrence rate after pregnancy is not influenced by this approach.
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http://dx.doi.org/10.1016/s0015-0282(01)02842-4 | DOI Listing |
Sci Rep
January 2025
Department of Life Technologies, Division of Biotechnology, University of Turku, Medisiina D, 5th floor, Kiinamyllynkatu 10, 20520, Turku, Finland.
Glycosylation changes of circulating proteins carrying the CA19-9 antigen may offer new targets for detection methods to be explored for the diagnosis of epithelial ovarian cancer (EOC). Search for assay designs for targets initially captured by a CA19-9 antigen reactive antibody from human body fluids by probing with fluorescent nanoparticles coated with lectins or antibodies to known EOC associated proteins. CA19-9 antigens were immobilized from ascites fluids, ovarian cyst fluids or serum samples using monoclonal antibody C192 followed by probing of carrier proteins using anti-MUC16, anti-MUC1 and, anti STn antibodies and seven lectins, all separately coated on nanoparticles.
View Article and Find Full Text PDFCancer 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.
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