3D-biomodels for Surgical Planning in Patients With Renal Cancer and Vascular Involvement
3DUrologia
1 other identifier
interventional
10
1 country
2
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Dec 2019
Typical duration for not_applicable
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 18, 2018
CompletedFirst Posted
Study publicly available on registry
November 13, 2018
CompletedStudy Start
First participant enrolled
December 1, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
May 30, 2022
CompletedJanuary 15, 2021
January 1, 2021
2.1 years
October 18, 2018
January 14, 2021
Conditions
Outcome Measures
Primary Outcomes (1)
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.
12 weeks, from the beginning of the study and before recruitment starts
Secondary Outcomes (10)
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
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.
Surgery outcome in terms of blood transfusion (number of blood transfusions needed)
3 years, since the recruitment begins until the end of the recruitment.
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.
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.
- +5 more secondary outcomes
Study Arms (2)
3D printing + images
EXPERIMENTALSurgery planification with the combination of all the images available and a 3D biomodel printed from that images.
Images
ACTIVE COMPARATORSurgery planification with all the images available
Interventions
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
To perform a surgery planification with the images available in terms of: anticipation of potential complications and the human resources and necessary materials
Eligibility Criteria
You may qualify if:
- 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
You may not qualify if:
- Pregnant.
- Immunosuppression.
- No signature of informed consent.
- Impossibility of monitoring or follow up.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
Ramón y Cajal University Hospital
Madrid, 28034, Spain
Virgen del Rocio University Hospital
Seville, 41013, Spain
Related Publications (17)
Gupta K, Miller JD, Li JZ, Russell MW, Charbonneau C. Epidemiologic and socioeconomic burden of metastatic renal cell carcinoma (mRCC): a literature review. Cancer Treat Rev. 2008 May;34(3):193-205. doi: 10.1016/j.ctrv.2007.12.001. Epub 2008 Mar 4.
PMID: 18313224BACKGROUNDKnoedler M, Feibus AH, Lange A, Maddox MM, Ledet E, Thomas R, Silberstein JL. Individualized Physical 3-dimensional Kidney Tumor Models Constructed From 3-dimensional Printers Result in Improved Trainee Anatomic Understanding. Urology. 2015 Jun;85(6):1257-61. doi: 10.1016/j.urology.2015.02.053.
PMID: 26099870BACKGROUNDHatakeyama S, Yoneyama T, Hamano I, Murasawa H, Narita T, Oikawa M, Hagiwara K, Noro D, Tanaka T, Tanaka Y, Hashimoto Y, Koie T, Ohyama C. Prognostic benefit of surgical management in renal cell carcinoma patients with thrombus extending to the renal vein and inferior vena cava: 17-year experience at a single center. BMC Urol. 2013 Oct 14;13:47. doi: 10.1186/1471-2490-13-47.
PMID: 24125174BACKGROUNDBissada NK, Yakout HH, Babanouri A, Elsalamony T, Fahmy W, Gunham M, Hull GW, Chaudhary UB. Long-term experience with management of renal cell carcinoma involving the inferior vena cava. Urology. 2003 Jan;61(1):89-92. doi: 10.1016/s0090-4295(02)02119-2.
PMID: 12559273BACKGROUNDBlute ML, Boorjian SA, Leibovich BC, Lohse CM, Frank I, Karnes RJ. Results of inferior vena caval interruption by greenfield filter, ligation or resection during radical nephrectomy and tumor thrombectomy. J Urol. 2007 Aug;178(2):440-5; discussion 444. doi: 10.1016/j.juro.2007.03.121. Epub 2007 Jun 11.
PMID: 17561151BACKGROUNDCraven WM, Redmond PL, Kumpe DA, Durham JD, Wettlaufer JN. Planned delayed nephrectomy after ethanol embolization of renal carcinoma. J Urol. 1991 Sep;146(3):704-8. doi: 10.1016/s0022-5347(17)37899-0.
PMID: 1875477BACKGROUNDPsutka SP, Boorjian SA, Thompson RH, Schmit GD, Schmitz JJ, Bower TC, Stewart SB, Lohse CM, Cheville JC, Leibovich BC. Clinical and radiographic predictors of the need for inferior vena cava resection during nephrectomy for patients with renal cell carcinoma and caval tumour thrombus. BJU Int. 2015 Sep;116(3):388-96. doi: 10.1111/bju.13005. Epub 2015 Mar 23.
PMID: 25430786BACKGROUNDD'Urso PS, Barker TM, Earwaker WJ, Bruce LJ, Atkinson RL, Lanigan MW, Arvier JF, Effeney DJ. Stereolithographic biomodelling in cranio-maxillofacial surgery: a prospective trial. J Craniomaxillofac Surg. 1999 Feb;27(1):30-7. doi: 10.1016/s1010-5182(99)80007-9.
PMID: 10188125BACKGROUNDLevine JP, Patel A, Saadeh PB, Hirsch DL. Computer-aided design and manufacturing in craniomaxillofacial surgery: the new state of the art. J Craniofac Surg. 2012 Jan;23(1):288-93. doi: 10.1097/SCS.0b013e318241ba92.
PMID: 22337427BACKGROUNDShiraishi I, Yamagishi M, Hamaoka K, Fukuzawa M, Yagihara T. Simulative operation on congenital heart disease using rubber-like urethane stereolithographic biomodels based on 3D datasets of multislice computed tomography. Eur J Cardiothorac Surg. 2010 Feb;37(2):302-6. doi: 10.1016/j.ejcts.2009.07.046. Epub 2009 Sep 15.
PMID: 19758813BACKGROUNDSuarez-Mejias C, Gomez-Ciriza G, Valverde I, Parra Calderon C, Gomez-Cia T. New technologies applied to surgical processes: Virtual Reality and rapid prototyping. Stud Health Technol Inform. 2015;210:669-71.
PMID: 25991234BACKGROUNDValverde I, Gomez G, Gonzalez A, Suarez-Mejias C, Adsuar A, Coserria JF, Uribe S, Gomez-Cia T, Hosseinpour AR. Three-dimensional patient-specific cardiac model for surgical planning in Nikaidoh procedure. Cardiol Young. 2015 Apr;25(4):698-704. doi: 10.1017/S1047951114000742. Epub 2014 May 9.
PMID: 24809416BACKGROUNDValverde I, Gomez G, Coserria JF, Suarez-Mejias C, Uribe S, Sotelo J, Velasco MN, Santos De Soto J, Hosseinpour AR, Gomez-Cia T. 3D printed models for planning endovascular stenting in transverse aortic arch hypoplasia. Catheter Cardiovasc Interv. 2015 May;85(6):1006-12. doi: 10.1002/ccd.25810. Epub 2015 Feb 12.
PMID: 25557983BACKGROUNDValverde I, Gomez-Ciriza G, Hussain T, Suarez-Mejias C, Velasco-Forte MN, Byrne N, Ordonez A, Gonzalez-Calle A, Anderson D, Hazekamp MG, Roest AAW, Rivas-Gonzalez J, Uribe S, El-Rassi I, Simpson J, Miller O, Ruiz E, Zabala I, Mendez A, Manso B, Gallego P, Prada F, Cantinotti M, Ait-Ali L, Merino C, Parry A, Poirier N, Greil G, Razavi R, Gomez-Cia T, Hosseinpour AR. Three-dimensional printed models for surgical planning of complex congenital heart defects: an international multicentre study. Eur J Cardiothorac Surg. 2017 Dec 1;52(6):1139-1148. doi: 10.1093/ejcts/ezx208.
PMID: 28977423BACKGROUNDInfante-Cossio P, Prats-Golczer V, Gonzalez-Perez LM, Belmonte-Caro R, Martinez-DE-Fuentes R, Torres-Carranza E, Gacto-Sanchez P, Gomez-Cia T. Treatment of recurrent mandibular ameloblastoma. Exp Ther Med. 2013 Aug;6(2):579-583. doi: 10.3892/etm.2013.1165. Epub 2013 Jun 18.
PMID: 24137230BACKGROUNDHevia V, Ciancio G, Gomez V, Alvarez S, Diez-Nicolas V, Burgos FJ. Surgical technique for the treatment of renal cell carcinoma with inferior vena cava tumor thrombus: tips, tricks and oncological results. Springerplus. 2016 Feb 20;5:132. doi: 10.1186/s40064-016-1825-1. eCollection 2016.
PMID: 26933631BACKGROUNDRivero Belenchon I, Congregado Ruiz CB, Gomez Ciriza G, Gomez Dos Santos V, Burgos Revilla FJ, Medina Lopez RA. Impact of 3D-Printed Models for Surgical Planning in Renal Cell Carcinoma With Venous Tumor Thrombus: A Randomized Multicenter Clinical Trial. J Urol. 2025 May;213(5):568-580. doi: 10.1097/JU.0000000000004425. Epub 2025 Jan 21.
PMID: 39836858DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Carmen Belén Congregado Ruíz, FEA
Virgen del Rocío University Hospital
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- DEVICE FEASIBILITY
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 18, 2018
First Posted
November 13, 2018
Study Start
December 1, 2019
Primary Completion
December 31, 2021
Study Completion
May 30, 2022
Last Updated
January 15, 2021
Record last verified: 2021-01
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, CSR
- Time Frame
- Starting on november 2018 until may 2022
- 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
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