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

Primary Purpose

Renal Cell Carcinoma, Three-Dimensional, Venous Thromboses

Status
Unknown status
Phase
Not Applicable
Locations
Spain
Study Type
Interventional
Intervention
3D printing + images
Images
Sponsored by
Fundación Pública Andaluza para la gestión de la Investigación en Sevilla
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional device feasibility trial for Renal Cell Carcinoma

Eligibility Criteria

14 Years - undefined (Child, Adult, Older Adult)All SexesDoes not accept healthy volunteers

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.

Sites / Locations

  • Ramón y Cajal University HospitalRecruiting
  • Virgen del Rocio University HospitalRecruiting

Arms of the Study

Arm 1

Arm 2

Arm Type

Experimental

Active Comparator

Arm Label

3D printing + images

Images

Arm Description

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

Surgery planification with all the images available

Outcomes

Primary Outcome Measures

Grade of Concordance between the CT and the 3D model evaluated with the kappa and the intraclass correlation coefficient.
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

Grade of concordance between the CT and/or 3D model and the vivo model evaluated with the kappa and the intraclass correlation coefficient.
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.
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.
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.
Surgery outcome in terms of blood transfusion (number of blood transfusions needed)
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)
Surgery outcome in terms of number and grade of complications according to Clavien's scale
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.
Surgery outcome in terms of free surgery margins according to the histopathology analysis of the specimen.
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)
Surgery outcome in terms of number of hospitalisation days
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
Surgery outcome in terms of necessity of stay in the Intensive Care Unit
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)
Cost-effectiveness analysis, comparing the cost of the surgery with the 3D planning and the image planning.
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.
Comparison of learning curves using the CUSUM method.
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
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)
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)

Full Information

First Posted
October 18, 2018
Last Updated
January 14, 2021
Sponsor
Fundación Pública Andaluza para la gestión de la Investigación en Sevilla
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1. Study Identification

Unique Protocol Identification Number
NCT03738488
Brief Title
3D-biomodels for Surgical Planning in Patients With Renal Cancer and Vascular Involvement
Acronym
3DUrologia
Official Title
3D-biomodels for Surgical Planning in Patients With Renal Cancer and Vascular Involvement
Study Type
Interventional

2. Study Status

Record Verification Date
January 2021
Overall Recruitment Status
Unknown status
Study Start Date
December 1, 2019 (Actual)
Primary Completion Date
December 31, 2021 (Anticipated)
Study Completion Date
May 30, 2022 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Fundación Pública Andaluza para la gestión de la Investigación en Sevilla

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No

5. 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.
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.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Renal Cell Carcinoma, Three-Dimensional, Venous Thromboses

7. Study Design

Primary Purpose
Device Feasibility
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
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 HURC
Masking
None (Open Label)
Allocation
Randomized
Enrollment
10 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
3D printing + images
Arm Type
Experimental
Arm Description
Surgery planification with the combination of all the images available and a 3D biomodel printed from that images.
Arm Title
Images
Arm Type
Active Comparator
Arm Description
Surgery planification with all the images available
Intervention Type
Device
Intervention Name(s)
3D printing + images
Intervention Description
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
Intervention Type
Other
Intervention Name(s)
Images
Intervention Description
To perform a surgery planification with the images available in terms of: anticipation of potential complications and the human resources and necessary materials
Primary Outcome Measure Information:
Title
Grade of Concordance between the CT and the 3D model evaluated with the kappa and the intraclass correlation coefficient.
Description
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.
Time Frame
12 weeks, from the beginning of the study and before recruitment starts
Secondary Outcome Measure Information:
Title
Grade of concordance between the CT and/or 3D model and the vivo model evaluated with the kappa and the intraclass correlation coefficient.
Description
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.
Time Frame
1 year, since the recruitment begins until we have the first 10 cases of renal cell carcinoma with thrombus venous extension operated
Title
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.
Description
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.
Time Frame
3 years, since the recruitment begins until the end of the recruitment.
Title
Surgery outcome in terms of blood transfusion (number of blood transfusions needed)
Description
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)
Time Frame
3 years, since the recruitment begins until the end of the recruitment.
Title
Surgery outcome in terms of number and grade of complications according to Clavien's scale
Description
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.
Time Frame
3 years, since the recruitment begins until the end of the recruitment.
Title
Surgery outcome in terms of free surgery margins according to the histopathology analysis of the specimen.
Description
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)
Time Frame
3 years, since the recruitment begins until the end of the recruitment.
Title
Surgery outcome in terms of number of hospitalisation days
Description
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
Time Frame
3 years, since the recruitment begins until the end of the recruitment.
Title
Surgery outcome in terms of necessity of stay in the Intensive Care Unit
Description
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)
Time Frame
3 years, since the recruitment begins until the end of the recruitment.
Title
Cost-effectiveness analysis, comparing the cost of the surgery with the 3D planning and the image planning.
Description
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.
Time Frame
3 years, after the recruitment is ended
Title
Comparison of learning curves using the CUSUM method.
Description
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
Time Frame
3 years, after the recruitment is ended and all the surgeries performed
Title
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)
Description
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)
Time Frame
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.

10. Eligibility

Sex
All
Minimum Age & Unit of Time
14 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
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.
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Inés Rivero Belenchón
Phone
679576719
Ext
+34
Email
ines.rivero.belenchon@gmail.com
First Name & Middle Initial & Last Name or Official Title & Degree
María Aguilar Rodriguez
Phone
656663791
Ext
+34
Email
mariaguirod@yahoo.es
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Carmen Belén Congregado Ruíz, FEA
Organizational Affiliation
Virgen del Rocío University Hospital
Official's Role
Principal Investigator
Facility Information:
Facility Name
Ramón y Cajal University Hospital
City
Madrid
ZIP/Postal Code
28034
Country
Spain
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Victoria Gomez Dos Santos
Phone
670795972
Ext
+34
Email
vgomezd69@gmail.com
First Name & Middle Initial & Last Name & Degree
Laura Illana Reyero
Phone
618 11 73 25
Ext
+34
Email
laillana.reyero@gmail.com
First Name & Middle Initial & Last Name & Degree
Francisco Javier Burgos Revilla
Facility Name
Virgen del Rocio University Hospital
City
Seville
ZIP/Postal Code
41013
Country
Spain
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Ines Rivero Belenchon
Phone
679576719
Ext
+34
Email
ines.rivero.belenchon@gmail.com
First Name & Middle Initial & Last Name & Degree
María Aguilar Rodríguez
Phone
656663791
Ext
+34
Email
mariaguirod@yahoo.es
First Name & Middle Initial & Last Name & Degree
Carmen Belén Congregado Ruíz

12. IPD Sharing Statement

Plan to Share IPD
Yes
IPD Sharing Plan Description
All IPD that underlie results in a publication will be shared, as well as the study protocol, the Statistical Analysis Plan, the Informed Consent Form and the Clinical Study Report
IPD Sharing Time Frame
Starting on november 2018 until may 2022
IPD Sharing Access Criteria
IPD and any additional supporting information will be shared, with any physician interested in the protocol, the biomodel the Statistical Analysis or the clinical study report. This information will be given always without revealing the identity of the participants of the study
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3D-biomodels for Surgical Planning in Patients With Renal Cancer and Vascular Involvement

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