Advancing Early Ovarian Cancer Detection Through Multi-Modal Research
*Corresponding Author: Dr. Rachel Simmons, King's College London, UK, Email: rachel.simmons@gmail.comReceived Date: Jun 04, 2025 / Published Date: Jun 30, 2025
Citation: Simmons DR (2025) Advancing Early Ovarian Cancer Detection Through Multi-Modal Research. Current Trends Gynecol Oncol 10: 272.
Copyright: 漏 2025 Dr. Rachel Simmons This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
| Peer-reviewed Full Article 
Abstract
Early detection of ovarian cancer is a significant clinical challenge. Current research explores multi-modal approaches, including advanced imaging, novel biomarkers, and AI, to improve sensitivity and specificity. Minimally invasive methods like ctDNA analysis are being refined, while TVUS utility is debated. Risk-stratified screening and genomic profiling are vital for high-risk populations. Development of effective screening relies on understanding early molecular changes and utilizing proteomic signatures to enhance diagnostic accuracy and reduce false positives.
