- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06903260
Robot-assisted Partial Nephrectomy With and Without Mixed Reality (REALITATEM Study)
Kidney cancer has had a raising diagnostic incidence and partial nephrectomy (PN) is the standard of care for renal masses stage cT1a and a possible treatment choice for cT1b/T2; PN may be associated to a variety of tools, such as three-dimensional (3D) models, which can be used as printed models or through VR (virtual reality) and/or AR (augmented reality). Virtual reality is defined as an artificial 3D visual environment and AR, as virtual objects superimposed on the real world; mixed reality (MIXREAL) is the association between VR and AR.
The first clinical experience using AR in a PN was in 2008, and since then, clinical trials of 3D assisted minimally invasive PN have been developed, such as the first trial evaluating both AR and VR in videolaparoscopic PN, a prospective cohort, and the first randomized clinical trial evaluating 3D model in robot assisted PN (RAPN), but using only VR; posteriorly, Porpiglia et al. and Li et al. published clinical trials of RAPN using AR.
The investigators aimed to establish the improvements that use of MIXREAL can provide in perioperatory and functional outcomes of RAPN. Although previous studies have been showing positive results on behalf of 3D virtual models, besides this being the first study in Latin America to employ MIXREAL in minimally invasive PN, it is the first randomized clinical trial to employ both AR and VR in the context of RAPN.
To analyze the efficacy of MIXREAL, the investigators intended to allocate forty-five patients with renal lesions to RAPN with, Realitatem Group (RG), or without, Control Group (CG), use of MIXREAL.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Kidney cancer has had a raising diagnostic incidence and partial nephrectomy (PN) is the standard of care for renal masses stage cT1a and a possible treatment choice for cT1b/T2; PN may be associated to a variety of tools, such as three-dimensional (3D) models, which can be used as printed models or through VR (virtual reality) and/or AR (augmented reality). Virtual reality is defined as an artificial 3D visual environment and AR, as virtual objects superimposed on the real world; mixed reality (MIXREAL) is the association between VR and AR.
The first clinical experience using AR in a PN was in 2008, and since then, clinical trials of 3D assisted minimally invasive PN have been developed, such as the first trial evaluating both AR and VR in videolaparoscopic PN, a prospective cohort, and the first randomized clinical trial evaluating 3D model in robot assisted PN (RAPN), but using only VR; posteriorly, Porpiglia et al. and Li et al. published clinical trials of RAPN using AR.
The investigators aimed to establish the improvements that use of MIXREAL can provide in perioperatory and functional outcomes of RAPN. Although previous studies have been showing positive results on behalf of 3D virtual models, besides this being the first study in Latin America to employ MIXREAL in minimally invasive PN, it is the first randomized clinical trial to employ both AR and VR in the context of RAPN.
To analyze the efficacy of MIXREAL, the investigators intended to allocate forty-five patients with renal lesions to RAPN with, Realitatem Group (RG), or without, Control Group (CG), use of MIXREAL.
Patient's accrual occurred in the private clinic of a few urologists, and patients were blinded to the intervention they would be submitted to. The randomization process was done in a manual pattern, where the next case would always be enrolled to a different group than the previous, starting the study with a patient enrolled to RG.
Besides sociodemographic data, pre-operative data regarding the tumor also was collected and it was determined by an updated CT, done within one month from the surgery. Patients randomized to RG were specifically required an angioCT. The images were exported in DICOM (Digital Imaging and Communications in Medicine) and applied in Brainlab Elements software (Brainlab AG, Munich, Germany), where the images and 3D drawing were rendered in partnership with the collaborating bioengineer of this work to obtain the VR (Figure 1). Planned cases were available via cloud services for immediate use in the operating room (www.brainlab.com).
All surgeries were robot-assisted, conducted transperitoneally, and executed at Moinhos de Vento Hospital (Porto Alegre, Rio Grande do Sul), a tertiary center, from August 2022 to January 2024 by 8 urologists with experience in RAPN. AG was obtained through the Magic Leap 1 goggle (Magic Leap Inc., Plantation, FL, USA) (Figure 5); the only role Brainlab and Magic Leap industries had in this study was the providing of the software and the goggle free of charge.
Besides tumor and patient's baseline characteristics and intra-operative data, such as vessel clamping, ischemia time, estimated blood loss (EBL), use of hemostatic agents and excision technique, post-operative data, such as renal function, anatomopathology, complication rate and hospital staying, were also recorded. Our primary endpoint was ischemia time and the rest were secondary endpoints.
The results obtained were stored in a confidential database, with exclusive access to the researchers, and later organized in the Statistical Package for the Social Sciences (SPSS), proceeding to statistical analyzes.
Initially, descriptive analyzes were performed to characterize the sample of participants. Later, comparisons were made between GR and GC through non-parametric tests Mann-Whitney, Chi-square (CH2) and, when necessary, Fisher's exact test. These comparisons constituted homogeneity analyzes between the groups in the case of sociodemographic, preoperative and histopathological characteristics, while in the perioperative and functional variables they served to find a possible difference related to whether or not to use MIXREAL. For all analyzes performed, it was adopted the 95% confidence interval and the significance level of 5% (p ≤ .05).
The sample was calculated using the Risk Calc software. Assuming a difference in mean ischemia rate (primary outcome) between treatment groups to be 3.9 minutes (20), an expected population standard deviation to be 3.23 (11) and a clinically relevant difference to be of 1 minute (22), to achieve 80% power (i.e., 1-β=0.8) at the level of significance of 5% (α=0.05) with equal allocation (i.e., k=1) and dropout rate of 5%, a total sample of at least 34 patients, divided into two groups, would be required
Study Type
Enrollment (Actual)
Phase
- Phase 3
Contacts and Locations
Study Locations
-
-
-
Porto Alegre, Brazil
- Hospital Moinhos de Vento
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- patients above 18 years old with solid renal masses or complex renal cysts Bosniak III/IV requiring partial nephrectomy
Exclusion Criteria:
- solid renal masses or complex renal cysts Bosniak III/IV with initial indication of radical nephrectomy
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Realitatem Group
robot assisted partial nephrectomy with use of mixed reality
|
Virtual reality (VR) is defined as an artificial 3D visual environment and augmented reality (AR), as virtual objects superimposed on the real world; mixed reality is the association between VR and AR.
The images were exported from CT image in DICOM (Digital Imaging and Communications in Medicine) and applied in Brainlab Elements software (Brainlab AG, Munich, Germany), where the images and 3D drawing were rendered in partnership with the collaborating bioengineer of this work to obtain the VR.
AG was obtained during the intraoperative through the Magic Leap 1 goggle (Magic Leap Inc., Plantation, FL, USA)
|
|
No Intervention: Control group
robot assisted partial nephrectomy with out use of mixed reality
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
ischemia time
Time Frame: "Perioperative/Periprocedural"
|
time from renal artery clamping to its disclamping
|
"Perioperative/Periprocedural"
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
total surgical time
Time Frame: "Perioperative/Periprocedural"
|
from first skin incision to skin suture
|
"Perioperative/Periprocedural"
|
|
conversion to open surgery
Time Frame: "Perioperative/Periprocedural"
|
conversion to open surgery
|
"Perioperative/Periprocedural"
|
|
artery clamping
Time Frame: "Perioperative/Periprocedural"
|
need of artery clamping or off clamp
|
"Perioperative/Periprocedural"
|
|
selective clamping
Time Frame: "Perioperative/Periprocedural"
|
clamping of a renal artery branch, instead of the main renal artery
|
"Perioperative/Periprocedural"
|
|
estimated blood loss
Time Frame: "Perioperative/Periprocedural"
|
in ml
|
"Perioperative/Periprocedural"
|
|
excision technique
Time Frame: "Perioperative/Periprocedural"
|
Wedge resection or Enucleoresection or Enucleation
|
"Perioperative/Periprocedural"
|
|
conversion to radical nephrectomy
Time Frame: "Perioperative/Periprocedural"
|
yes or no
|
"Perioperative/Periprocedural"
|
|
perioperative complication
Time Frame: Up to 4 weeks
|
according to clavien-dindo classification
|
Up to 4 weeks
|
Collaborators and Investigators
Sponsor
Investigators
- Study Chair: Andre Kives Berger, MSc, Hospital Moinhos de Vento
Publications and helpful links
General Publications
- Porpiglia F, Checcucci E, Amparore D, Piramide F, Volpi G, Granato S, Verri P, Manfredi M, Bellin A, Piazzolla P, Autorino R, Morra I, Fiori C, Mottrie A. Three-dimensional Augmented Reality Robot-assisted Partial Nephrectomy in Case of Complex Tumours (PADUA >/=10): A New Intraoperative Tool Overcoming the Ultrasound Guidance. Eur Urol. 2020 Aug;78(2):229-238. doi: 10.1016/j.eururo.2019.11.024. Epub 2019 Dec 30.
- Alaraimi B, El Bakbak W, Sarker S, Makkiyah S, Al-Marzouq A, Goriparthi R, Bouhelal A, Quan V, Patel B. A randomized prospective study comparing acquisition of laparoscopic skills in three-dimensional (3D) vs. two-dimensional (2D) laparoscopy. World J Surg. 2014 Nov;38(11):2746-52. doi: 10.1007/s00268-014-2674-0.
- Palumbo C, Pecoraro A, Knipper S, Rosiello G, Luzzago S, Deuker M, Tian Z, Shariat SF, Simeone C, Briganti A, Saad F, Berruti A, Antonelli A, Karakiewicz PI. Contemporary Age-adjusted Incidence and Mortality Rates of Renal Cell Carcinoma: Analysis According to Gender, Race, Stage, Grade, and Histology. Eur Urol Focus. 2021 May;7(3):644-652. doi: 10.1016/j.euf.2020.05.003. Epub 2020 May 23.
- Bukavina L, Bensalah K, Bray F, Carlo M, Challacombe B, Karam JA, Kassouf W, Mitchell T, Montironi R, O'Brien T, Panebianco V, Scelo G, Shuch B, van Poppel H, Blosser CD, Psutka SP. Epidemiology of Renal Cell Carcinoma: 2022 Update. Eur Urol. 2022 Nov;82(5):529-542. doi: 10.1016/j.eururo.2022.08.019. Epub 2022 Sep 10.
- Motzer RJ, Jonasch E, Boyle S, Carlo MI, Manley B, Agarwal N, Alva A, Beckermann K, Choueiri TK, Costello BA, Derweesh IH, Desai A, George S, Gore JL, Haas N, Hancock SL, Kyriakopoulos C, Lam ET, Lau C, Lewis B, Madoff DC, McCreery B, Michaelson MD, Mortazavi A, Nandagopal L, Pierorazio PM, Plimack ER, Ponsky L, Ramalingam S, Shuch B, Smith ZL, Somer B, Sosman J, Dwyer MA, Motter AD. NCCN Guidelines Insights: Kidney Cancer, Version 1.2021. J Natl Compr Canc Netw. 2020 Sep;18(9):1160-1170. doi: 10.6004/jnccn.2020.0043.
- Wake N, Nussbaum JE, Elias MI, Nikas CV, Bjurlin MA. 3D Printing, Augmented Reality, and Virtual Reality for the Assessment and Management of Kidney and Prostate Cancer: A Systematic Review. Urology. 2020 Sep;143:20-32. doi: 10.1016/j.urology.2020.03.066. Epub 2020 Jun 12.
- Detmer FJ, Hettig J, Schindele D, Schostak M, Hansen C. Virtual and Augmented Reality Systems for Renal Interventions: A Systematic Review. IEEE Rev Biomed Eng. 2017;10:78-94. doi: 10.1109/RBME.2017.2749527. Epub 2017 Sep 6.
- Ukimura O, Gill IS. Imaging-assisted endoscopic surgery: Cleveland Clinic experience. J Endourol. 2008 Apr;22(4):803-10. doi: 10.1089/end.2007.9823.
- Wang D, Zhang B, Yuan X, Zhang X, Liu C. Preoperative planning and real-time assisted navigation by three-dimensional individual digital model in partial nephrectomy with three-dimensional laparoscopic system. Int J Comput Assist Radiol Surg. 2015 Sep;10(9):1461-8. doi: 10.1007/s11548-015-1148-7. Epub 2015 Jan 11.
- Shirk JD, Thiel DD, Wallen EM, Linehan JM, White WM, Badani KK, Porter JR. Effect of 3-Dimensional Virtual Reality Models for Surgical Planning of Robotic-Assisted Partial Nephrectomy on Surgical Outcomes: A Randomized Clinical Trial. JAMA Netw Open. 2019 Sep 4;2(9):e1911598. doi: 10.1001/jamanetworkopen.2019.11598.
- Li L, Zeng X, Yang C, Un W, Hu Z. Three-dimensional (3D) reconstruction and navigation in robotic-assisted partial nephrectomy (RAPN) for renal masses in the solitary kidney: A comparative study. Int J Med Robot. 2022 Feb;18(1):e2337. doi: 10.1002/rcs.2337. Epub 2021 Oct 10.
- Yoshida S, Sugimoto M, Fukuda S, Taniguchi N, Saito K, Fujii Y. Mixed reality computed tomography-based surgical planning for partial nephrectomy using a head-mounted holographic computer. Int J Urol. 2019 Jun;26(6):681-682. doi: 10.1111/iju.13954. Epub 2019 Mar 25. No abstract available.
- Edgcumbe P, Singla R, Pratt P, Schneider C, Nguan C, Rohling R. Follow the light: projector-based augmented reality intracorporeal system for laparoscopic surgery. J Med Imaging (Bellingham). 2018 Apr;5(2):021216. doi: 10.1117/1.JMI.5.2.021216. Epub 2018 Feb 14.
- Porpiglia F, Fiori C, Checcucci E, Amparore D, Bertolo R. Hyperaccuracy Three-dimensional Reconstruction Is Able to Maximize the Efficacy of Selective Clamping During Robot-assisted Partial Nephrectomy for Complex Renal Masses. Eur Urol. 2018 Nov;74(5):651-660. doi: 10.1016/j.eururo.2017.12.027. Epub 2018 Jan 6.
- Scosyrev E, Messing EM, Sylvester R, Campbell S, Van Poppel H. Renal function after nephron-sparing surgery versus radical nephrectomy: results from EORTC randomized trial 30904. Eur Urol. 2014 Feb;65(2):372-7. doi: 10.1016/j.eururo.2013.06.044. Epub 2013 Jul 2.
- Alrumayyan M, Raveendran L, Lawson KA, Finelli A. Cystic Renal Masses: Old and New Paradigms. Urol Clin North Am. 2023 May;50(2):227-238. doi: 10.1016/j.ucl.2023.01.003. Epub 2023 Feb 20.
- Moch H, Amin MB, Berney DM, Comperat EM, Gill AJ, Hartmann A, Menon S, Raspollini MR, Rubin MA, Srigley JR, Hoon Tan P, Tickoo SK, Tsuzuki T, Turajlic S, Cree I, Netto GJ. The 2022 World Health Organization Classification of Tumours of the Urinary System and Male Genital Organs-Part A: Renal, Penile, and Testicular Tumours. Eur Urol. 2022 Nov;82(5):458-468. doi: 10.1016/j.eururo.2022.06.016. Epub 2022 Jul 16.
- Ljungberg B, Hanbury DC, Kuczyk MA, Merseburger AS, Mulders PF, Patard JJ, Sinescu IC; European Association of Urology Guideline Group for renal cell carcinoma. Renal cell carcinoma guideline. Eur Urol. 2007 Jun;51(6):1502-10. doi: 10.1016/j.eururo.2007.03.035. Epub 2007 Mar 28.
- Cheng C, Lu M, Zhang Y, Hu X. Effect of augmented reality navigation technology on perioperative safety in partial nephrectomies: A meta-analysis and systematic review. Front Surg. 2023 Apr 12;10:1067275. doi: 10.3389/fsurg.2023.1067275. eCollection 2023.
- Thompson RH, Lane BR, Lohse CM, Leibovich BC, Fergany A, Frank I, Gill IS, Blute ML, Campbell SC. Renal function after partial nephrectomy: effect of warm ischemia relative to quantity and quality of preserved kidney. Urology. 2012 Feb;79(2):356-60. doi: 10.1016/j.urology.2011.10.031.
- Desai MM, de Castro Abreu AL, Leslie S, Cai J, Huang EY, Lewandowski PM, Lee D, Dharmaraja A, Berger AK, Goh A, Ukimura O, Aron M, Gill IS. Robotic partial nephrectomy with superselective versus main artery clamping: a retrospective comparison. Eur Urol. 2014 Oct;66(4):713-9. doi: 10.1016/j.eururo.2014.01.017. Epub 2014 Jan 25.
- Piramide F, Kowalewski KF, Cacciamani G, Rivero Belenchon I, Taratkin M, Carbonara U, Marchioni M, De Groote R, Knipper S, Pecoraro A, Turri F, Dell'Oglio P, Puliatti S, Amparore D, Volpi G, Campi R, Larcher A, Mottrie A, Breda A, Minervini A, Ghazi A, Dasgupta P, Gozen A, Autorino R, Fiori C, Di Dio M, Gomez Rivas J, Porpiglia F, Checcucci E; European Association of Urology Young Academic Urologists and the European Section of Uro-Technology. Three-dimensional Model-assisted Minimally Invasive Partial Nephrectomy: A Systematic Review with Meta-analysis of Comparative Studies. Eur Urol Oncol. 2022 Dec;5(6):640-650. doi: 10.1016/j.euo.2022.09.003. Epub 2022 Oct 7.
- Mir MC, Ercole C, Takagi T, Zhang Z, Velet L, Remer EM, Demirjian S, Campbell SC. Decline in renal function after partial nephrectomy: etiology and prevention. J Urol. 2015 Jun;193(6):1889-98. doi: 10.1016/j.juro.2015.01.093. Epub 2015 Jan 29.
- Minervini A, Carini M. Tumor Enucleation Is Appropriate During Partial Nephrectomy. Eur Urol Focus. 2019 Nov;5(6):923-924. doi: 10.1016/j.euf.2019.02.009. Epub 2019 Feb 21.
- Yu J, Xie HUA, Wang S. The effectiveness of augmented reality assisted technology on LPN: a systematic review and meta-analysis. Minim Invasive Ther Allied Technol. 2022 Oct;31(7):981-991. doi: 10.1080/13645706.2022.2051190. Epub 2022 Mar 25.
- Wang J, Lu Y, Wu G, Wang T, Wang Y, Zhao H, Zhou Z, Wu J. The role of three-dimensional reconstruction in laparoscopic partial nephrectomy for complex renal tumors. World J Surg Oncol. 2019 Sep 11;17(1):159. doi: 10.1186/s12957-019-1701-x.
- Di Maida F, Campi R, Lane BR, De Cobelli O, Sanguedolce F, Hatzichristodoulou G, Antonelli A, Grosso AA, Noyes S, Rodriguez-Faba O, Keeley FX, Langenhuijsen J, Musi G, Klatte T, Roscigno M, Akdogan B, Furlan M, Simeone C, Karakoyunlu N, Marszalek M, Capitanio U, Volpe A, Brookman-May S, Gschwend JE, Smaldone MC, Uzzo RG, Kutikov A, Minervini A, Sib International Consortium. Predictors of Positive Surgical Margins after Robot-Assisted Partial Nephrectomy for Localized Renal Tumors: Insights from a Large Multicenter International Prospective Observational Project (The Surface-Intermediate-Base Margin Score Consortium). J Clin Med. 2022 Mar 23;11(7):1765. doi: 10.3390/jcm11071765.
- Vettoretto N, Foglia E, Ferrario L, Arezzo A, Cirocchi R, Cocorullo G, Curro G, Marchi D, Portale G, Gerardi C, Nocco U, Tringali M, Anania G, Piccoli M, Silecchia G, Morino M, Valeri A, Lettieri E. Why laparoscopists may opt for three-dimensional view: a summary of the full HTA report on 3D versus 2D laparoscopy by S.I.C.E. (Societa Italiana di Chirurgia Endoscopica e Nuove Tecnologie). Surg Endosc. 2018 Jun;32(6):2986-2993. doi: 10.1007/s00464-017-6006-y. Epub 2018 Jan 24.
- Checcucci E, Amparore D, Fiori C, Manfredi M, Ivano M, Di Dio M, Niculescu G, Piramide F, Cattaneo G, Piazzolla P, Cacciamani GE, Autorino R, Porpiglia F. 3D imaging applications for robotic urologic surgery: an ESUT YAUWP review. World J Urol. 2020 Apr;38(4):869-881. doi: 10.1007/s00345-019-02922-4. Epub 2019 Aug 27.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 66791623.8.0000.5330
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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