Robotic Surgery in the Treatment of Deep Endometriosis: Da Vinci Vs HUGO RAS Comparison

NCT ID: NCT06781398

Last Updated: 2025-01-17

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

86 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-01-31

Study Completion Date

2027-10-31

Brief Summary

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The aim is to clarify whether both surgical approaches represent, equivalently, a good treatment for the management of patients with deep endometriosis who are candidates for surgery, or whether there are any differences between the two methods, and, if so, how they differ

Detailed Description

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Numerous studies have shown how surgical excision of deep endometriosis nodules improves pain and quality of life. Robotic-assisted laparoscopic surgery has been employed for the treatment of deep endometriosis. While the Da Vinci System is widely used for the surgical treatment of endometriosis, with good results, the available data regarding the benefits of the HUGO RAS System, however, are limited, given the recent introduction of this method in gynecology, and particularly in the treatment of endometriosis. The aim of the study is to investigate whether the robotic surgical approach using HUGO RAS is noninferior to that performed using Da Vinci in terms of operative time (docking + surgical time) in the surgical treatment of patients with endometriosis

Conditions

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Deep Endometriosis

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Age between 18 and 55 years;
* Pelvic ultrasound and/or radiologic (MRI/CT scan with rectal insufflation) diagnosis of endometriosis
* Indication for surgery (symptomatic despite or refractory to medical therapy, and/or with critical bowel stenosis or urinary stenosis, and/or infertile awaiting medically assisted procreation (PMA) treatment or with previous failed assisted fertilization attempts);
* ASA (American Society of Anesthesiologists physical status classification) class between 1 and 3;
* Acquisition of consent to undergo surgical treatment;
* Acquisition of consent for study participation and data processing

Exclusion Criteria

\- Past or current diagnosis of gynecologic oncologic pathology.
Minimum Eligible Age

18 Years

Maximum Eligible Age

55 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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IRCCS Azienda Ospedaliero-Universitaria di Bologna

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Diego Raimondo, MD

Role: PRINCIPAL_INVESTIGATOR

IRCCS Azienda Ospedaliero-Universitaria di Bologna

Locations

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IRCCS Azienda Ospedaliero-Universitaria di Bologna

Bologna, Bologna, Italy

Site Status

Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore

Roma, Roma, Italy

Site Status

Countries

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Italy

Central Contacts

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Diego Raimondo, MD

Role: CONTACT

+393290636618

Pierluigi Celerino, MD

Role: CONTACT

Facility Contacts

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Diego Raimondo, MD

Role: primary

+393290636618

Pierluigi Celerino, MD

Role: backup

Diego Raimondo, MD

Role: backup

Federica Campolo, MD

Role: primary

+390630155629

Other Identifiers

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ROBOTENDO

Identifier Type: -

Identifier Source: org_study_id

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