Objective: Survival but not cure rates have improved for epithelial ovarian cancer (EOC), demonstrating the need for effective prevention. Targeted prevention in BRCA carriers by risk reducing surgery (RRS) prevents 80% of cases but incurs additional up-front costs, compensated for by the potential for long term savings from treatment avoidance. Does prevention represent value for money? In the absence of long-term data from prospective trials, determining the cost effectiveness of a prevention strategy requires economic modelling.
Methods: A patient level simulation was developed comparing outcomes between two groups, using Canadian data. Group 1: no mutation testing with treatment if EOC developed. Group 2: cascade testing (index patient BRCA tested and the first and second-degree relatives tested if index patient or first-degree relative respectively were positive) with RRS in carriers. End points were Incremental Cost-Effectiveness Ratio (ICER) and budget impact.
Results: 2786 women with EOC (1 year incidence) had 766 first and 207 second-degree female relatives. BRCA mutations were present in 390 index cases, 366 first and 49 second-degree relatives. With 100% RRS uptake, 59 EOC were prevented and testing dominated no testing (more effective and less costly; ICER -$8919). The total cost saving over 50 years was $2,904,486 (cost saving of $9,660,381 in treatment costs versus increased cost from cascade testing/RRS of $6,755,895). At a threshold of $100,000 per QALY, prevention was cost effective in all modelled scenarios.
Conclusions: Targeted prevention in BRCA mutation carriers not only prevents EOC but is cost-effective compared to treating EOC if it develops.
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http://dx.doi.org/10.1016/j.ygyno.2019.01.018 | DOI Listing |
Acad 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 Assist Reprod Genet
January 2025
Department of Gynaecology, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Liaoning Province, Shenyang, 110001, The People's Republic of China.
Background: The "Healthy China" initiative, along with advancements in technology for cancer diagnosis and treatment, has significantly enhanced outcomes for patients with gynecologic tumors. The trends of late marriage and delayed childbirth have led to an increasing number of women diagnosed with gynecologic cancers who are seeking fertility preservation in China. This issue is critical yet often overlooked in clinical practice.
View Article and Find Full Text PDFEBioMedicine
January 2025
MGH Biostatistics Center, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address:
Background: The ovarian cancer (OC) preclinical detectable phase (PCDP), defined as the interval during which cancer is detectable prior to clinical diagnosis, remains poorly characterised. We report exploratory analyses from the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS).
Methods: In UKCTOCS between Apr-2001 and Sep-2005, 101,314 postmenopausal women were randomised to no screening (NS) and 50,625 to annual multimodal screening (MMS) (until Dec-2011) using serum CA-125 interpreted by the Risk of Ovarian Cancer Algorithm (ROCA).
Am J Surg Pathol
January 2025
Department of Medical and Biotechnological Sciences, University "G. D'Annunzio", Via dei Vestini, Chieti-Pescara Italy.
According to histopathology and molecular genetics, there are 5 major subtypes of ovarian carcinomas: high-grade serous (70%), endometrioid (10%), clear cell (10%), mucinous (3% to 4%), and low-grade serous (<5%) carcinomas. These tumors, which constitute over 95% of cases, represent distinct diseases with different prognoses and therapy. This review outlines contemporary advances in molecular pathology, which have expanded our knowledge of the biology of epithelial ovarian cancer and are also important to patient management.
View Article and Find Full Text PDFHistol Histopathol
December 2024
Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Solna, Sweden.
Aim: Ovarian cancer (OC) is a fatal female malignant tumor that severely impacts the health of women worldwide. Due to the lack of diagnostic biomarkers, 70% of OC patients are considered in the advanced stage at the first diagnosis. Exploring novel biomarkers for OC diagnosis has become an urgent clinical need to address.
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