Virtual 3D modelling of the kidney anatomy to improve surgery planning for kidney cancer surgery
ISRCTN | ISRCTN39483595 |
---|---|
DOI | https://doi.org/10.1186/ISRCTN39483595 |
IRAS number | 295968 |
ClinicalTrials.gov number | NCT05109182 |
Secondary identifying numbers | IRAS 295968, CPMS 51658 |
- Submission date
- 20/04/2022
- Registration date
- 22/04/2022
- Last edited
- 05/05/2022
- Recruitment status
- No longer recruiting
- Overall study status
- Completed
- Condition category
- Surgery
Plain English Summary
Background and study aims
A nephrectomy is the surgical removal of a kidney, performed to treat a number of kidney diseases including kidney cancer.
The goal of robotic assisted partial nephrectomy is to remove the tumour from the kidney whilst trying to preserve as much of the kidney as possible. Surgical planning is currently done using 2D CT images from which the surgeon has to mentally reconstruct the anatomy to try and understand the interrelationship of the tumour with other structures, this can be very difficult and is prone to human error. This can result in poor decision making, complications and long operating times. We propose to use virtual 3D models generated from the CT scan to improve surgical planning for complex tumours.
Who can participate?
Patients over 18 years, selected for robotic-assisted renal cancer surgery
What does the study involve?
If you were to take part in this research you would not receive any additional clinical tests or medical imaging scans. Any pre-operative scans (CT scan) that you have already undergone as part of the routine clinical care pathway will be assessed for suitability for personalised 3D model creation. If the scans are of sufficient quality, a 3D model will be generated. The 3D model will then be used, in addition to the original medical scans, at three stages to assist the surgeon: (1) with theatre planning (this is the plan for the actual operation, for example where the instrument ports will be positioned or which arteries will be selectively clamped); (2) with patient communications (medical scans are often difficult to interpret for the patient whereas the 3D model should be more intuitive); (3) with navigating the instruments during the operation and locating important structures.
What are the possible benefits and risks of participating?
The possible benefits of taking part in this study are;
1. Patients go home sooner due to higher-quality surgery and the reduced chance of complications, as a consequence of improved surgical planning.
2. Less likelihood of an unplanned conversion, which is when the surgeon has to abandon the minimally-invasive approach in favour of open surgery during the operation due to unforeseen anatomical challenges. This is reduced due to improved anatomical understanding.
3. Improved patient empowerment and improved consenting, resulting in better patient decision-making. This is due to the patient being able to see and understand their 3D anatomy.
4. Reduced procedure time with less exposure to anaesthetic. Operation times could be reduced because the surgeon now has a better understanding of the anatomy and a better preoperative plan.
This should lead to less time being spent searching for landmarks and key vessels.
Please note that these potential benefits have not yet been proven and we can’t guarantee any direct treatment benefits from taking part in this study.
CT scans are already part of your routine care. If you take part in this study you will not undergo any additional CT scans. There is no risk associated with pregnancy and breastfeeding.
Where is the study run from?
Innersight Labs Ltd and King's College London (UK)
When is the study starting and how long is it expected to run for?
April 2021 to April 2024
Who is funding the study?
National Institute for Health and Care Research (NIHR) (UK).
Who is the main contact?
Dr Lorenz Berger, lorenz@innersightlabs.com
Contact information
Principal Investigator
15 Hazel Road
Swansea
SA2 0LU
United Kingdom
0000-0002-9367-4105 | |
Phone | +44 7979067365 |
lorenz@innersightlabs.com |
Study information
Study design | Interventional randomized controlled trial |
---|---|
Primary study design | Interventional |
Secondary study design | Randomised controlled trial |
Study setting(s) | Hospital |
Study type | Other |
Participant information sheet | https://innersight-public.s3.amazonaws.com/295968_Patient_Information_Sheet_V1.1.pdf |
Scientific title | Virtual 3D modelling for improved surgical planning of robotic-assisted partial nephrectomy |
Study acronym | VISP |
Study hypothesis | To establish whether surgical planning using virtual 3D modelling (Innersight 3D) improves the surgical outcomes and cost-effectiveness of complex robotic-assisted partial nephrectomy procedures. |
Ethics approval(s) | Approved 29/03/2022, Wales REC 1 (Health and Care Research Wales Support and Delivery Centre, Castlebridge 4, 15-19 Cowbridge Road East, Cardiff, CF11 9AB, UK; +44 1792 606334; Wales.REC1@wales.nhs.uk), ref: 22/WA/0039 |
Condition | Partial nephrectomy |
Intervention | We propose to use virtual 3D models generated from the CT scan to improve surgical planning for complex kidney tumours. The trial will recruit patients selected for robotic-assisted renal cancer surgery. Patients will be randomised to either the control arm where only a CT scan will be used for surgical planning, which is the current gold-standard, or the intervention arm - where CT scan + 3D model will be used for surgical planning. The trial is planned to run for 18 months. The UKCRC registered King’s Clinical Trials Unit (KCTU) will provide 24/7 online 1:1 randomisation, Patients will then be documented within an Enrolment Log. Randomisation will happen once the patient has been termed eligible (following MDT). Randomisation will happen during the outpatient clinic, where the patient will be consulted about their upcoming partial nephrectomy operation. During this routine clinic appointment they will be consented and randomised. |
Intervention type | Procedure/Surgery |
Primary outcome measure | Operating time measured using total console time (minutes) taken from patient notes recorded after surgery. |
Secondary outcome measures | 1. Hilum preparation time (minutes) measured using a timer recorded during surgery. 2. Tumor preparation time (minutes) measured using a timer recorded during surgery. 3. Tumor resection time (minutes) measured using a timer recorded during surgery. 4. Hilar clamping technique (global ischemia, selective ischemia, clampless, ice cooling) recorded during surgery. 5. Opened collecting system (yes, no) recorded during surgery. 6. Conversion to radical nephrectomy (yes/no) recorded during surgery. 7. Conversion to open surgery (yes/no) recorded during surgery. 8. Clamp time (minutes) measured using a timer recorded during surgery. 9. Experience level of surgeon measured using a questionnaire recorded after surgery. 10. Blood loss (ml) taken from patient notes recorded after surgery. 11. Total Operative time (mins) taken from patient notes recorded after surgery. 11. Length of stay (days) taken from patient notes recorded 4 weeks after surgery. 12. Margin status on histology (positive/negative) taken from patient notes recorded 4 weeks after surgery. 13. Pre/Post-operative eGFR (ml/min) taken from patient notes recorded at pre-operative assessment, 1 day after surgery, 4 weeks after surgery. 14. Pre/Post-operative creatinine (micromoles/L) taken from patient notes recorded at pre-operative assessment, 1 day after surgery, 4 weeks after surgery. 15. Pre/Post-operative Hemoglobin (g/dL) taken from patient notes recorded at pre-operative assessment, 1 day after surgery, 4 weeks after surgery. 16. Complications measured using the Clavien-Dindo Score recorded 4 weeks after surgery. |
Overall study start date | 01/04/2021 |
Overall study end date | 01/04/2024 |
Eligibility
Participant type(s) | Patient |
---|---|
Age group | Adult |
Lower age limit | 18 Years |
Sex | Both |
Target number of participants | 328 |
Participant inclusion criteria | 1. Aged 18 years or above. 2. Agreement at Multidisciplinary team meeting that this patient could undergo robotic-assisted partial nephrectomy. 3. Willing and able to provide written informed consent. 4. RENAL score (tumour complexity) >= 8. 5. Received contrast enhanced abdominal preoperative CT scan. |
Participant exclusion criteria | 1. Do not consent for robotic assisted partial nephrectomy; 2. Chose to have treatment outside one of the NHS trial sites. 3. Participation in other clinical studies that would potentially confound this study; 4. Have a horseshoe, a solitary kidney or bilateral kidney tumours; 5. Lack of willingness to allow personal medical imaging data to be used for generating a 3D model; |
Recruitment start date | 01/06/2022 |
Recruitment end date | 01/12/2023 |
Locations
Countries of recruitment
- England
- United Kingdom
Study participating centres
Pond Street
London
NW3 2QG
United Kingdom
Great Maze Pond
London
SE1 9RT
United Kingdom
Portsmouth Road
Frimley
Camberley
GU16 7UJ
United Kingdom
Westbury-on-trym
Bristol
BS10 5NB
United Kingdom
Herries Road
Sheffield
S5 7AU
United Kingdom
Sponsor information
Industry
7 Astbury House
Lambeth Walk
London
SE11 6LZ
England
United Kingdom
Phone | +44 7979067365 |
---|---|
support@innersightlabs.com | |
Website | https://innersightlabs.com/ |
University/education
1 Lambeth Palace Rd
South Bank
London
SE1 7EU
England
United Kingdom
Phone | +44 (0) 20 7848 3224 |
---|---|
reza.razavi@kcl.ac.uk | |
Website | https://www.kcl.ac.uk/ |
https://ror.org/0220mzb33 |
Funders
Funder type
Government
Government organisation / National government
- Alternative name(s)
- National Institute for Health Research, NIHR Research, NIHRresearch, NIHR - National Institute for Health Research, NIHR (The National Institute for Health and Care Research), NIHR
- Location
- United Kingdom
Results and Publications
Intention to publish date | 01/02/2024 |
---|---|
Individual participant data (IPD) Intention to share | No |
IPD sharing plan summary | Not expected to be made available |
Publication and dissemination plan | Trial results will be published in a peer reviewed journal. |
IPD sharing plan | Any participant data will be anonymised for publication. The plan is to only publish summary outcome data of the trial - so that no individual participant data will need to be published. The datasets generated during and/or analysed during the current study are not expected to be made available as Kings’ College London (KCL) owns the Intellectual Property rights to the clinical outcomes data generated from the trial and no provisions have yet been made by KCL to publish this data, apart from summary statistics used for publication. |
Study outputs
Output type | Details | Date created | Date added | Peer reviewed? | Patient-facing? |
---|---|---|---|---|---|
HRA research summary | 28/06/2023 | No | No |
Editorial Notes
05/05/2022: Internal review.
22/04/2022: Trial's existence confirmed by NHS HRA.