LIPIDOMIC PROFILING AS A TOOL FOR EARLY DETECTION AND RECURRENCE PREDICTION OF OVARIAN ENDOMETRIOSIS AFTER SURGERY
This research investigates lipidomic profiling as a potential tool for the early detection and prediction of ovarian endometriosis recurrence following surgical intervention.
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The study investigates lipidomic profiling as a potential biomarker strategy for the early detection and recurrence prediction of ovarian endometriosis following surgical intervention. It addresses the clinical challenge of delayed diagnosis, which averages six to seven years, and the significant issue of postoperative disease recurrence that necessitates better predictive tools. By analyzing lipid profiles, the research aims to identify specific metabolic signatures associated with ovarian endometriosis to improve monitoring after surgery. This paper is centrally about endometriosis — specifically focusing on the use of lipidomics for managing ovarian endometriosis recurrence after surgical treatment.
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- last seen: 2026-10-07T06:01:52.021920+00:00