Virtual 3D Modelling for Improved Surgical Planning of Robotic-assisted Partial Nephrectomy
VISP
1 other identifier
interventional
328
0 countries
N/A
Brief Summary
To establish whether surgical planning using virtual 3D modelling (Innersight 3D) improves the outcome and cost-effectiveness of RAPN, allowing more patients to benefit from minimally-invasive procedures.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2022
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
October 26, 2021
CompletedFirst Posted
Study publicly available on registry
November 5, 2021
CompletedStudy Start
First participant enrolled
January 1, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
August 1, 2023
CompletedNovember 5, 2021
October 1, 2021
1.6 years
October 26, 2021
October 26, 2021
Conditions
Outcome Measures
Primary Outcomes (1)
Total Console time
This is the time from the start of the robotic operation (arms start moving inside the abdomen) until the end of the robotic operation (arms have been taken out of the abdomen) and will be recorded using the robotic system
18 months
Secondary Outcomes (16)
Artery preparation time (mins)
18 months
Tumour preparation time (mins)
18 months
Tumour resection time (mins)
18 months
Hilar clamping technique
18 months
Extirpative technique
18 months
- +11 more secondary outcomes
Study Arms (2)
Intervention (3D model + CT for surgical planning)
EXPERIMENTALPatients in this arm will receive a 3D model which will be used in addition to the CT scan for surgical planning.
Control (CT for surgical planning)
NO INTERVENTIONPatients in this arm will only have the a CT scan used for surgical planning.
Interventions
Innersight3D generates a virtual interactive 3D model of the CT scan.
Eligibility Criteria
You may qualify if:
- Aged 18-80 years; Agreement at Multidisciplinary team meeting that this patient could undergo robotic-assisted partial nephrectomy.
- Willing and able to provide written informed consent. RENAL score (tumour complexity) \>= 8. Received contrast enhanced abdominal preoperative CT scan. Ability to understand and speak English.
You may not qualify if:
- Do not consent for robotic assisted partial nephrectomy; Chose to have treatment outside one of the NHS trial sites. Participation in other clinical studies that would potentially confound this study; Have a horseshoe, a solitary kidney or bilateral kidney tumours; Lack of willingness to allow personal medical imaging data to be used for generating a 3D model;
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Innersight Labs Ltdlead
- Royal Free Hospital NHS Foundation Trustcollaborator
- Frimley Park Hospital NHS Trustcollaborator
- Sheffield Teaching Hospitals NHS Foundation Trustcollaborator
- North Bristol NHS Trustcollaborator
- Guy's and St Thomas' NHS Foundation Trustcollaborator
- King's College Londoncollaborator
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- INVESTIGATOR
- Masking Details
- The following will be blinded: Chief Investigator, Senior Statistician, Research Nurses, Trial Steering Committee The following will be unblinded: Principal Investigators at site, Trial Manager/monitor, Junior Statistician, Trial Participants, Treating clinicians, Data Monitoring Committee
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 26, 2021
First Posted
November 5, 2021
Study Start
January 1, 2022
Primary Completion
August 1, 2023
Study Completion
August 1, 2023
Last Updated
November 5, 2021
Record last verified: 2021-10
Data Sharing
- IPD Sharing
- Will not share