3DUrologia: 3D-biomodels for Surgical Planning in Patients With Renal Cancer and Vascular Involvement

Sponsor
Fundación Pública Andaluza para la gestión de la Investigación en Sevilla (Other)
Overall Status
Recruiting
CT.gov ID
NCT03738488
Collaborator
(none)
10
2
2
29.9
5
0.2

Study Details

Study Description

Brief Summary

Objectives:

Apply 3D- printed biomodels in patients with renal cancer (RCa) and vascular involvement (VTT) to: (1) improve surgical planning, (2) upgrade surgical results, (3) facilitate communication with patients, (4) serve as a model for teaching residents and (5) shortening the learning curve in experienced urologists.

Methodology:

The design of the study is a randomized clinical trial, to determine the safety, precision, feasibility, predictability, efficacy and efficiency of a surgical strategy based on imaging tests and 3D models regarding the surgical planning in patients with RCa and VTT. This is a longitudinal, prospective, experimental and multicenter study on a cohort diagnosed of RCa and VTT from 2018 in the Virgen del Rocío University Hospital (HUVR) or in the Ramón y Cajal University Hospital (HURC). The study will last for 3 years and will be carried out jointly by the HUVR, the HURC and the IBIS, in a multidisciplinary team made up of urologists, radiologists and engineers.

Condition or Disease Intervention/Treatment Phase
  • Device: 3D printing + images
  • Other: Images
N/A

Detailed Description

Phase 1, obtaining the 3D printed biomodel and study of feasibility.

Distribution of tasks: Conducted jointly by:
  • Radiology team of the HUVR: Segmentation and 3D virtual reconstruction of the image tests. Compare measurements with image tests.

  • IBIS / HUVR engineering team. Design and development of specific segmentation algorithm for the tissue selection of interest. Modeling of image and printing of the 3D model.

  • Urology team of the HUVR. Identification of anatomical structures and taking measurements in the 3D model. Simulation of surgery following the surgical guide.

  • Production center: It will be carried out entirely in the HUVR.

  • Process: custom and manufacture 3D models to perform a surgical simulation using imaging tests of operated patients, with different characteristics until achieving an optimum prototype. Different anatomical structures will be measured and compared in the model and in the image (Collection sheet of data). Later, we will check if it is possible to perform a surgical simulation on the model reproducing in it each of the steps necessary to perform the surgery (surgical guide, annex 3).

Phase 2, precision and predictability study:
Distribution of tasks: Conducted jointly by:
  • HUVR radiology team and HURC radiology team. Segmentation and 3D virtual reconstruction of the image tests. Taking measurements in image tests.

  • IBIS / HUVR engineering team. 3D model printing.

  • HUVR urology team and urology team HURC. Taking measurements in the 3D model. Surgical planning with imaging tests or with imaging tests and 3D model (simulation following the surgical guide).

Real surgery and taking measurements in real surgery.

  • Production center: 3D printing in the HUVR, precision and predictability study, HUVR and HURC.

  • Process: all patients diagnosed with CaR and TTV in the HUVR and HURC will be recruited between the years 2018 and 2021 and will be randomized into two groups. In the control group the surgical planning will be based exclusively on image tests. In the intervention group we will carry out a surgical planning based on imaging tests and the 3D model (on which we will perform a surgical simulation following the guide surgical). Subsequently, the surgery will be carried out, and in each of the groups it will be compared (Gold Standard) with the pre-surgical planning performed.

  • precision study Anatomical measurements will be taken before the surgical intervention in the image models, in the 3D model and subsequently in vivo during surgery

  • predictability study A prediction will be made of the type of surgery to be performed, the complications, and the necessary human and material resources.

Phase 3, efficacy and efficiency study:
  • HUVR urology team and urology team HURC. Data Collect.

  • Process: We will check if a surgical planning with image tests and 3D model makes the surgery more effective and efficient than the one based exclusively on imaging tests. Efficacy, will be defined as the ability to achieve a good surgical result. Efficiency will be defined as the ability to obtain good results with the minimum possible costs and in the minimum possible time.

Phase 4, study of satisfaction level with surgical planning based on 3D model and learning curve of urologists:

  • HUVR Urology team and HURC urology team: Delivery of satisfaction surveys and data collection.

  • HUVR urology team: Comparison of learning curves.

Final phase, analysis of the results and dissemination plan.

  • All researchers: the results of the different tasks carried out in the project will be evaluated and scientific publications and communications in national and international congresses will be made.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
10 participants
Allocation:
Randomized
Intervention Model:
Parallel Assignment
Intervention Model Description:
Study model: Longitudinal, prospective, experimental, multi centric on a cohort of patients diagnosed of Renal Cell Carcinoma with Vascular Involvement from 2018 in either the HUVR or the HURCStudy model: Longitudinal, prospective, experimental, multi centric on a cohort of patients diagnosed of Renal Cell Carcinoma with Vascular Involvement from 2018 in either the HUVR or the HURC
Masking:
None (Open Label)
Primary Purpose:
Device Feasibility
Official Title:
3D-biomodels for Surgical Planning in Patients With Renal Cancer and Vascular Involvement
Actual Study Start Date :
Dec 1, 2019
Anticipated Primary Completion Date :
Dec 31, 2021
Anticipated Study Completion Date :
May 30, 2022

Arms and Interventions

Arm Intervention/Treatment
Experimental: 3D printing + images

Surgery planification with the combination of all the images available and a 3D biomodel printed from that images.

Device: 3D printing + images
To perform a surgery planification with the combination of the images available and the 3D biomodel in terms of: anticipation of potential complications and the human resources and necessary materials

Active Comparator: Images

Surgery planification with all the images available

Other: Images
To perform a surgery planification with the images available in terms of: anticipation of potential complications and the human resources and necessary materials

Outcome Measures

Primary Outcome Measures

  1. Grade of Concordance between the CT and the 3D model evaluated with the kappa and the intraclass correlation coefficient. [12 weeks, from the beginning of the study and before recruitment starts]

    The grade of concordance between the CT and 3D model will be assessed firstly identifying all the anatomical structures in the 3D model: Kidneys, tumor, arteries and veins.Then some measures will be taken both in the CT and the model to compare them. That will be repeated in 20 cases and the grade of concordance will be assessed by using the Kappa and the intraclass correlation coefficient.

Secondary Outcome Measures

  1. Grade of concordance between the CT and/or 3D model and the vivo model evaluated with the kappa and the intraclass correlation coefficient. [1 year, since the recruitment begins until we have the first 10 cases of renal cell carcinoma with thrombus venous extension operated]

    The grade of concordance between the CT and/or 3D model and the "vivo" will be assessed firstly identifying all the anatomical structures in the CT or 3D and the vivo when the surgery is performed: Kidneys, tumor, arteries and veins.Then some measures will be taken both in the CT and or 3D and the vivo during the surgery to compare them. The grade of concordance will be assessed by using the Kappa and the intraclass correlation coefficient.

  2. Grade of predictability of the surgery planning with 3D and images compared with the surgery planning made only with images. It will be assessed by using the Kappa and the intraclass correlation coefficient. [3 years, since the recruitment begins until the end of the recruitment.]

    A pre-surgery planning will be made to predict the kind of surgery, the potential complications and the human and material necessary resources for the surgery. Both predictions (the one made only with images, and the one made with images and 3D) will be compared with the reality (the surgery). The grade of concordance between the prediction and the reality will be assessed using the Kappa and the intraclass correlation coefficient.

  3. Surgery outcome in terms of blood transfusion (number of blood transfusions needed) [3 years, since the recruitment begins until the end of the recruitment.]

    We will compare the surgery outcomes between the surgery pre-planned with images and the one pre-planned with 3D and images. That will be assessed in terms of blood transfusion (number of blood transfusiones needed)

  4. Surgery outcome in terms of number and grade of complications according to Clavien's scale [3 years, since the recruitment begins until the end of the recruitment.]

    We will compare the surgery outcomes between the surgery pre-planned with images and the one pre-planned with 3D and images. That will be assessed in terms of number and grade of complications following the Clavien's scale.

  5. Surgery outcome in terms of free surgery margins according to the histopathology analysis of the specimen. [3 years, since the recruitment begins until the end of the recruitment.]

    We will compare the surgery outcomes between the surgery pre-planned with images and the one pre-planned with 3D and images. That will be assessed in terms of free surgery margins according to the histopathology analysis of the specimen (yes/no)

  6. Surgery outcome in terms of number of hospitalisation days [3 years, since the recruitment begins until the end of the recruitment.]

    We will compare the surgery outcomes between the surgery pre-planned with images and the one pre-planned with 3D and images. That will be assessed in terms of number of hospitalisation days

  7. Surgery outcome in terms of necessity of stay in the Intensive Care Unit [3 years, since the recruitment begins until the end of the recruitment.]

    We will compare the surgery outcomes between the surgery pre-planned with images and the one pre-planned with 3D and images. That will be assessed in terms of necessity of stay in the Intensive Care Unit (yes/no)

  8. Cost-effectiveness analysis, comparing the cost of the surgery with the 3D planning and the image planning. [3 years, after the recruitment is ended]

    Cost-effectiveness analysis, comparing the cost of the surgery with the 3D planning (sum of the impression, the surgery and the postoperative time) and the surgery performed with an image planning.

  9. Comparison of learning curves using the CUSUM method. [3 years, after the recruitment is ended and all the surgeries performed]

    We will compare the learning curve of the surgeon that starts its training practicing in a 3D model and the one of a surgeon that did the learning curve without training in the 3D model

  10. Satisfaction level, assessed by a specifically designed questionnaire to evaluate the satisfaction with the 3D model of both urologists and patients (questionnaire published in DOI 10.1007/s00345-015-1632-2 and https://doi.org/10.1007/s00345-017-2126-1) [3 years. The satisfaction questionnaire to the patient will be given in the consult that the surgery is explained with the 3D model. At the end of the study, after the third year the satisfaction questionnaire will be given to all the urologists.]

    A questionnaire will be given to each patient in the consult after the explanation of the surgery with the 3D model (2 questionnaire published in DOI 10.1007/s00345-015-1632-2) In addition, at the end of the study, another satisfaction questionnaire will be given to all the urologists that participated in the study using a questionnaire already used (https://doi.org/10.1007/s00345-017-2126-1)

Eligibility Criteria

Criteria

Ages Eligible for Study:
14 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • Signature of informed consent.

  • Age over 18 years or between 14 and 18 with the authorization from mother / father / guardian.

  • Diagnosed of renal cancer with vascular involvement in the HUVR or HURC between 2018 and 2021

Exclusion Criteria:
  • Pregnant.

  • Immunosuppression.

  • No signature of informed consent.

  • Impossibility of monitoring or follow up.

Contacts and Locations

Locations

Site City State Country Postal Code
1 Ramón y Cajal University Hospital Madrid Spain 28034
2 Virgen del Rocio University Hospital Seville Spain 41013

Sponsors and Collaborators

  • Fundación Pública Andaluza para la gestión de la Investigación en Sevilla

Investigators

  • Principal Investigator: Carmen Belén Congregado Ruíz, FEA, Virgen del Rocío University Hospital

Study Documents (Full-Text)

None provided.

More Information

Publications

Responsible Party:
Fundación Pública Andaluza para la gestión de la Investigación en Sevilla
ClinicalTrials.gov Identifier:
NCT03738488
Other Study ID Numbers:
  • Trials 3D Urologia
First Posted:
Nov 13, 2018
Last Update Posted:
Jan 15, 2021
Last Verified:
Jan 1, 2021
Individual Participant Data (IPD) Sharing Statement:
Yes
Plan to Share IPD:
Yes
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Jan 15, 2021