Machine Learning-based Surgical Guidance System for Robot-assisted Rectal Surgery
The aim of the study is to evaluate the technical feasibility and applicability of a surgical assistance system based on image recognition algorithms in a first-in-human pilot study. In addition, this study will provide preliminary data on the oncological outcome of the assistance system.
| Condition(s) | Rectum Cancer |
|---|---|
| Status | Recruiting |
| Phase | NA |
| Study type | Interventional |
| Summary | The aim of the study is to evaluate the technical feasibility and applicability of a surgical assistance system based on image recognition algorithms in a first-in-human pilot study. In addition, this study will provide preliminary data on the oncological outcome of the assistance system. |
| Who can participate | Inclusion Criteria: * Patients with rectal cancer scheduled for robot-assisted rectal resection * Intact preoperative urogenital/rectal function * Full capability of consent Exclusion Criteria: * Previous/Second malignant disease \<5 years before diagnosis of rectal cancer * Previous abdominal surgery, except for laparoscopic appendectomy, laparoscopic cholecystectomy or Cesarean section * Pregnant or breastfeeding women * Addiction or illness that prevent the person concerned from assessing the nature and scope of the clinical trial and its possible consequences * indication that the participant is unlikely to comply with the trial protocoll (e.g. lack of compliance) * official or court order for involuntary hospitalization |
| Ages | 18 Years |
| Sex | All |
| Lead sponsor | Technische Universität Dresden |
| Locations | Dresden, Saxony, Germany |
| Start date | 2026-02 |
| NCT ID | NCT05652361 |
| Official listing | https://clinicaltrials.gov/study/NCT05652361 |