ESGO 2026 at a Glance
Get ready for ESGO 2026. LucidQuest’s preview brings together the most relevant scientific and AI-driven advances in Gynaecological Oncology research, helping you focus on high-impact sessions and plan a clear, insight-driven agenda.
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📥 Download the ESGO 2026_Preview_by_LucidQuest
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Key Topics from ESGO 2026 Scientific Presentations
Cervical Cancer
ICI rechallenge showed 77% initial ORR and 54% on rechallenge, SLN biopsy reduced lymphedema, nerve-sparing hysterectomy preserved bladder function.
Endometrial Cancer
SLN positivity plus TP53 refined prognostication, substantial LVSI drove recurrence risk, PORTEC-4a supported molecular-guided adjuvant EBRT to improve RFS.
Ovarian Cancer
R-LYNUS robotic ultrasound SLN mapping reached 71% sensitivity, dual-tracer mapping hit 100% sensitivity/NPV, LY4170156 delivered 63.6% response post-ADC.
Uterine Cancer
Hybrid radioactive-fluorescent SLN tracers improved mapping, gelatin-phantom US-CNB training boosted competency, pembrolizumab-lenvatinib showed modest activity in carcinosarcoma.
Gynecologic Malignancies
ROMA slightly outperformed CA125 for sensitivity, OCP use reduced ovarian and breast cancer risk in BRCA1/2 carriers, sustainability interest rose amid knowledge gaps.
Miscellaneous Studies
Frailty predicted vulvar surgery complications, structured prehabilitation improved anxiety, pain, and sexual function, conservative surveillance for tubal lesions needs prospective validation.
Artificial Intelligence and Machine Learning at ESGO 2026
AI-Based Screening for Endometrial Cancer
POLARIX (3,746 samples) predicted POLE status with AUC 0.969 and 97.4% sensitivity, reducing reliance on DNA sequencing.
AI-Driven PROMs for Low Health Literacy
AI analytics will improve PROM usability and accessibility in gynecologic cancer, aiming to raise measurement accuracy and clinical decision quality.
AI for HPV Vaccine Uptake
Predictive models will use demographic and public health data (example: Georgia) to identify acceptance barriers and improve coverage strategies.
AI-Enhanced OSNA for SLN Detection
Algorithms will optimize OSNA assay performance to boost SLN diagnostic accuracy as an alternative to histopathologic ultrastaging.
AI for Robotic SLN Biopsy With ICG
AI-assisted robotic systems will use ICG fluorescence to improve visualization and dissection accuracy during endometrial staging.
AI Mapping of Lymphatic Pathways
AI tracking will map atypical drainage routes to reduce false negatives and strengthen SLN identification reliability.
📅 Build your schedule around the sessions that matter most.
📥 Download the ESGO 2026_Preview_by_LucidQuest
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