Machine Learning-based Surgical Guidance System for Robot-assisted Rectal Surgery
About this study
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
- Rectum Cancer
- Tested
- Additional visualisation of surgical assistance during surgery
- Sponsor
- Technische Universität Dresden
Who can join
- Age
- 18 years and older
- Sex
- All sexes
- Healthy volunteers
- Not accepted
Inclusion 5
- Minimum age: 18 years
- Study condition: Rectum Cancer
- Patients with rectal cancer scheduled for robot-assisted rectal resection
- Intact preoperative urogenital/rectal function
- Full capability of consent
Exclusion 6
- 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
Where
1 site, 1 recruiting
Department of Visceral, Thoracic and Vascular Surgery University Hospital Carl Gustav Carus Technische Universität Dresden
Dresden, Saxony, Germany
Contact
-
Marius Distler, Prof. Dr.
+49 351 458 4098 marius.distler@ukdd.de
-
Fiona Kolbinger, Dr.
+49 351 458 4098 fiona.kolbinger@ukdd.de
Potential match only. Final eligibility is determined by the study team.