Clinical Database of Colorectal Robotic Surgery (ROBOT CR)
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ClinicalTrials.gov Identifier: NCT04013152 |
Recruitment Status :
Active, not recruiting
First Posted : July 9, 2019
Last Update Posted : January 26, 2024
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Tracking Information | |||||
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First Submitted Date | July 4, 2019 | ||||
First Posted Date | July 9, 2019 | ||||
Last Update Posted Date | January 26, 2024 | ||||
Actual Study Start Date | June 13, 2018 | ||||
Actual Primary Completion Date | June 9, 2022 (Final data collection date for primary outcome measure) | ||||
Current Primary Outcome Measures |
Collection of clinical data following surgery with robotic assistance in colorectal pathologies [ Time Frame: 3 years ] | ||||
Original Primary Outcome Measures | Same as current | ||||
Change History | |||||
Current Secondary Outcome Measures |
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Original Secondary Outcome Measures | Same as current | ||||
Current Other Pre-specified Outcome Measures | Not Provided | ||||
Original Other Pre-specified Outcome Measures | Not Provided | ||||
Descriptive Information | |||||
Brief Title | Clinical Database of Colorectal Robotic Surgery | ||||
Official Title | French Prospective Clinical Database of Colorectal Robotic Surgery | ||||
Brief Summary | Evaluation of robot Da Vinci Xi by determining its learning curve.The operating time will be defined by patient then the operating average will be calculated. | ||||
Detailed Description | Since the emergence of minimally invasive technology twenty years ago, as a surgical concept and surgical technique for colorectal cancer surgery, its obvious advantages have been recognized. Laparoscopic technology, as one of the most important technology platform, has got a lot of evidence-based support for the oncological safety and effectiveness in colorectal cancer surgery Laparoscopic technique has advantages in terms of identification of anatomic plane and autonomic nerve, protection of pelvic structure, and fine dissection of vessels. But because of the limitation of laparoscopic technology there are still some deficiencies and shortcomings, including lack of touch and lack of stereo vision problems, in addition to the low rectal cancer, especially male, obese, narrow pelvis, larger tumors, it is difficult to get better view and manipulating triangle in laparoscopy. However, the emergence of a series of new minimally invasive technology platform is to make up for the defects and deficiencies. The robotic surgical system possesses advantages, such as stereo vision, higher magnification, manipulator wrist with high freedom degree, filtering of tremor and higher stability, but still has disadvantages, such as lack of haptic feedback, longer operation time, high operation cost and expensive price. 3D system of laparoscopic surgery has similar visual experience and feelings as robotic surgery in the 3D view, the same operating skills as 2D laparoscopy and a short learning curve. Transanal total mesorectal excision (taTME) by changing the traditional laparoscopic pelvic surgery approach, may have certain advantages for male cases with narrow pelvic and patients with large tumor. No prospective study has compared these four surgical techniques. Furthermore, the learning curve still remains a crucial problem in term of data interpretation. We will collect synchronized videos and data on surgeon performance during colorectal surgeries using the Vinci Logger (dVLogger, Intuitive Surgical, Inc.), it is a personalized recording tool that captures synchronized video in the form of endoscope view at 30 frames per second. Kinematic data included characteristics of movement such as instrument travel time, path length and velocity. Events included frequency of master controller clutch use, camera movements, third arm swap and energy use. We will explore and validate objective surgeon performance metrics using novel recorder ("dVLogger") to directly capture surgeon manipulations on the daVinci Surgical System. |
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Study Type | Observational [Patient Registry] | ||||
Study Design | Observational Model: Other Time Perspective: Prospective |
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Target Follow-Up Duration | 5 Years | ||||
Biospecimen | Not Provided | ||||
Sampling Method | Non-Probability Sample | ||||
Study Population | Colorectal tumor, Crohn's disease, Polyposis, Ulcerative colitis, Diverticulitis, Rectal prolapse, Benign colorectal tumor | ||||
Condition |
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Intervention | Other: Clinical database
Constitution of a prospective, multicenter clinical database of surgery with robotic assistance in colorectal pathologies
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Study Groups/Cohorts | clinical database
Intervention: Other: Clinical database
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Publications * |
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* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline. |
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Recruitment Information | |||||
Recruitment Status | Active, not recruiting | ||||
Actual Enrollment |
1800 | ||||
Original Estimated Enrollment | Same as current | ||||
Estimated Study Completion Date | June 9, 2027 | ||||
Actual Primary Completion Date | June 9, 2022 (Final data collection date for primary outcome measure) | ||||
Eligibility Criteria | Inclusion Criteria:
Exclusion Criteria:
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Sex/Gender |
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Ages | 18 Years and older (Adult, Older Adult) | ||||
Accepts Healthy Volunteers | No | ||||
Contacts | Contact information is only displayed when the study is recruiting subjects | ||||
Listed Location Countries | France | ||||
Removed Location Countries | |||||
Administrative Information | |||||
NCT Number | NCT04013152 | ||||
Other Study ID Numbers | PROICM 2017-05 ROB | ||||
Has Data Monitoring Committee | No | ||||
U.S. FDA-regulated Product |
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IPD Sharing Statement |
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Current Responsible Party | Institut du Cancer de Montpellier - Val d'Aurelle | ||||
Original Responsible Party | Same as current | ||||
Current Study Sponsor | Institut du Cancer de Montpellier - Val d'Aurelle | ||||
Original Study Sponsor | Same as current | ||||
Collaborators | Not Provided | ||||
Investigators |
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PRS Account | Institut du Cancer de Montpellier - Val d'Aurelle | ||||
Verification Date | January 2024 |