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NCT07247175
The Impact of Force Feedback in the dV5 Robotic Surgical System on Learning Curve and Safety in Robot-Assisted Radical Prostatectomy - A Prospective, Single-Center, Investigator-Initiated Clinical Trial
Phase 2 trial testing Force-feedback on in Prostate Cancer in 60 participants. Currently enrolling.
30 June 2026
Quick facts
| Lead sponsor | Seong Soo Jeon |
|---|---|
| Phase | Phase 2 |
| Status | Recruiting now |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | none |
| Primary purpose | treatment |
| Enrollment | 60 |
| Start date | 1 January 2026 |
| Primary completion | 30 June 2026 |
| Estimated completion | 31 December 2027 |
| Sites | 1 location across South Korea |
Drugs / interventions tested
- Force-feedback on
- Forece-feedback off
Conditions studied
- Prostate Cancer — all drugs for Prostate Cancer →
Sponsor
Seong Soo Jeon
Who can join
19 and older, male only, with Prostate Cancer. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
This single-center, investigator-initiated prospective clinical study aims to evaluate the impact of the Force Feedback function of the da Vinci 5 (dV5) robotic surgical system on surgical skill acquisition and intraoperative safety during robot-assisted radical prostatectomy (RARP). Although robotic surgery is well established in urology, the absence of tactile sensation remains a major limitation of previous systems. The new dV5 platform incorporates real-time haptic (force) feedback, potentially reducing excessive tissue traction and improving surgical precision. A total of 60 patients with clinically localized prostate cancer will be enrolled at Samsung Medical Center. Two surgeons (one faculty and one trainee) will each perform 30 RARP cases, with Force Feedback ON/OFF randomly assigned for each case. The primary endpoints are (1) mean traction force and (2) total instrument path length during seminal vesicle dissection. Secondary endpoints include surgical performance metrics (time, clutch counts), intraoperative safety, postoperative complications, and patient-reported outcomes (IPSS, IIEF-5, EPIC-CP, ICIQ-UI SF). Data will be analyzed using mixed-effects models accounting for surgeon-level random effects. This study seeks to provide quantitative evidence on how Force Feedback enhances surgical learning efficiency, precision, and patient safety in next-generation robotic prostate surgery.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT07247175
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT07247175 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Seong Soo Jeon
- Last refreshed: 25 February 2026
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07247175.
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