LIPIDOMIC PROFILING AS A TOOL FOR EARLY DETECTION AND RECURRENCE PREDICTION OF OVARIAN ENDOMETRIOSIS AFTER SURGERY

Y.M. Kuzieva, D.D. Saidjalilova
2026 · doi:10.5281/zenodo.22953077 · W7214282242
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This paper addresses the clinical challenges of ovarian endometriosis, specifically focusing on delayed diagnosis and high postoperative recurrence rates. The authors propose lipidomic profiling as a novel tool for the early detection of the disease and the prediction of recurrence following surgical intervention. By analyzing specific lipid profiles, the study aims to improve predictive strategies and potentially reduce the significant diagnostic delay that currently affects patients with this disorder. This paper is centrally about endometriosis — specifically the use of lipidomic biomarkers for monitoring ovarian endometriosis after surgery.

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Abstract

Ovarian endometriosis (OE) remains one of the most challenging gynecological disorders due to delayed diagnosis and a high rate of postoperative recurrence. Initial symptoms, such as chronic pelvic pain and dysmenorrhea, commonly appear during adolescence or early reproductive age. However, according to the World Endometriosis Society, the average diagnostic delay worldwide is approximately 6–7 years from the onset of symptoms. Recurrence after surgical treatment remains a significant clinical problem, necessitating improved predictive and preventive strategies.
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Published September 25, 2026 | Version v1 Publication Open LIPIDOMIC PROFILING AS A TOOL FOR EARLY DETECTION AND RECURRENCE PREDICTION OF OVARIAN ENDOMETRIOSIS AFTER SURGERY Authors/Creators Description Ovarian endometriosis (OE) remains one of the most challenging gynecological disorders due to delayed diagnosis and a high rate of postoperative recurrence. Initial symptoms, such as chronic pelvic pain and dysmenorrhea, commonly appear during adolescence or early reproductive age. However, according to the World Endometriosis Society, the average diagnostic delay worldwide is approximately 6–7 years from the onset of symptoms. Recurrence after surgical treatment remains a significant clinical problem, necessitating improved predictive and preventive strategies. Files SSPME 1114.pdf Files (298.0 kB) | Name | Size | Download all | |---|---|---| | md5:66a9a829fd6c11afe1817e363e262d38 | 298.0 kB | Preview Download |

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