Using AI to improve safety in minimally invasive surgery for uterine cancers
Official title: Implementation of Surgical Safety and Intraoperative Metastasis Identification Through Deep Learning: Multicentric Video Collection for Minimally Invasive Sentinel Lymph Node Dissection in Uterine Malignancies
Run by Fondazione Policlinico Universitario Agostino Gemelli IRCCS · NCT06619002 · Data updated 2026-11-12
This study is testing if using AI to analyze surgical videos can make minimally invasive surgeries for uterine cancers safer and help doctors spot problems during the operation.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 99 Years |
| Sex | Women only |
| Enrollment | 100 (estimated) |
| Sponsor | Fondazione Policlinico Universitario Agostino Gemelli IRCCS Academic / other |
| Drugs / interventions | radiation |
| Locations | 2 sites (Roma and 1 other locations) |
| Status | Recruiting |
| Started | September 17, 2024 |
| Main results expected | September 30, 2026 |
| Study ends | September 30, 2027 |
| Registry record updated | October 2, 2024 |
| Trial ID | NCT06619002 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are women over 18 years old who are undergoing minimally invasive sentinel lymph node dissection for endometrial or cervical cancers.
✕Probably not a fit
Patients with previous pelvic radiotherapy treatments or severe endometriosis may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study focuses on enhancing surgical safety and identifying intraoperative metastasis in patients undergoing minimally invasive sentinel lymph node dissection for endometrial and cervical cancers. By utilizing deep learning algorithms to analyze surgical videos, the research aims to document and quantify intraoperative events, thereby identifying potential complications and improving surgical outcomes. The study will collect multicentric video data to develop AI tools that can provide real-time decision support during surgeries. This innovative approach seeks to address the limitations of current sentinel lymph node procedures and improve patient management.
Why it matters
Potential benefit: If successful, this study could significantly reduce surgical complications and improve outcomes for patients with uterine malignancies.
How similar studies have gone: Other studies have shown promise in using AI for surgical video analysis, indicating potential success for this novel approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Women undergoing MIS sentinel lymph node dissection for endometrial or cervical cancers * Availability of video * Age \>18 years * Willingness to participate in the study and to provide informed consent Exclusion Criteria: * Previous pelvic radiotherapy treatments * Severe endometriosis or other conditions able to alter the pelvic anatomy
Where it's running
-
Fondazione Policlinico Universitario A. Gemelli IRCCS
Roma, Italy Recruiting -
Fondazione Policlinico Universitario A. Gemelli IRCCS
Rome, Italy Recruiting
Study contacts
- Principal investigator: Matteo PAVONE, MD — Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome Italy; IHU Strasbourg; IRCAD Strasbourg; Icube Strasbourg;
- Study coordinator: Matteo PAVONE, MD
- Email: matteo.pavone@guest.policlinicogemelli.it
- Phone: 00390630151
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.