Machine Learning-based Surgical Guidance System for Robot-assisted Rectal Surgery
CoBot2
2 other identifiers
interventional
12
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Feb 2026
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 7, 2022
CompletedFirst Posted
Study publicly available on registry
December 15, 2022
CompletedStudy Start
First participant enrolled
February 1, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 1, 2027
February 5, 2026
January 1, 2026
11 months
December 7, 2022
February 2, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Incidence of discrepancies between the surgeon's preparation and the prediction of the CoBot system
System discrepancy score quantifying major misspecifications of the CoBot system in comparison to the surgeon's action
72 hours after Surgery
Secondary Outcomes (11)
Operating time [min]
During Surgery
Duration of postoperative hospital stay [days]
At day of discharge, assessed up to 5 days
Duration of postoperative intermediate/intensive care unit stay [days]
At day of discharge, assessed up to 5 days
Frequency of peri-operative morbidity after resection
At day of discharge, assessed of up to 5 days
Kind of peri-operative morbidity after resection
At day of discharge, assessed of up to 5 days
- +6 more secondary outcomes
Study Arms (1)
Additional visualisation of surgical assistance during surgery
EXPERIMENTALInterventions
Robot-assisted anterior rectal resection using daVinci® system as CE-marked gold standard with additional visualization of surgical assistance functions based on machine learning techniques
Eligibility Criteria
You may qualify if:
- Patients with rectal cancer scheduled for robot-assisted rectal resection
- Intact preoperative urogenital/rectal function
- Full capability of consent
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Technische Universität Dresdenlead
- German Cancer Research Centercollaborator
Study Sites (1)
Department of Visceral, Thoracic and Vascular Surgery University Hospital Carl Gustav Carus Technische Universität Dresden
Dresden, Saxony, 01307, Germany
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Marius Distler, Prof. Dr.
University Hospital Carl Gustav Carus Dresden
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
December 7, 2022
First Posted
December 15, 2022
Study Start
February 1, 2026
Primary Completion (Estimated)
January 1, 2027
Study Completion (Estimated)
December 1, 2027
Last Updated
February 5, 2026
Record last verified: 2026-01
Data Sharing
- IPD Sharing
- Will not share