Literature DB >> 29317081

Hyperaccuracy Three-dimensional Reconstruction Is Able to Maximize the Efficacy of Selective Clamping During Robot-assisted Partial Nephrectomy for Complex Renal Masses.

Francesco Porpiglia1, Cristian Fiori2, Enrico Checcucci2, Daniele Amparore2, Riccardo Bertolo2.   

Abstract

BACKGROUND: Available technologies could avoid global ischemia for the removal of a renal tumor.
OBJECTIVE: To present hyperaccuracy three-dimensional (HA3D) reconstruction during robot-assisted partial nephrectomy (RAPN) and compare its efficacy in sponsoring successful selective clamping of renal arterial branches during RAPN. DESIGN, SETTING, AND PARTICIPANTS: Patients undergoing RAPN (January 2016-July 2017) for renal mass PADUA score ≥10 who underwent abdominal computed tomography scan with angiography. Since February 2017 HA3D reconstruction was performed. SURGICAL PROCEDURE: HA3D reconstruction-aided RAPN and standard RAPN with selective clamping. MEASUREMENTS: Intraoperative variables focusing on the renal arterial pedicle management and success rate of its planned management. RESULTS AND LIMITATIONS: Thirty-one patients in group no HA3D and 21 in group HA3D. The median (standard deviation) tumor size was 50.9 and 50.8mm (p=0.97), and median PADUA scores 10.5 and 11 (p=0.85) for groups no HA3D and HA3D, respectively. In group no HA3D, a significantly higher number of patients underwent global ischemia (80% vs 24%, p<0.01). Of note, in 90% of the group HA3D cases, intraoperative management of the renal pedicle was performed as preoperatively planned; in 39% of the group no HA3D cases, management of the renal arterial pedicle was varied intraoperatively (p=0.04). We disclose the limited sample size and the experimental technique.
CONCLUSIONS: Preoperative simulation of selective ischemia was feasible and effective with HA3D reconstruction. In all the RAPN cases performed, selective clamping was successful, avoiding ischemia of the healthy renal remnant. A strict collaboration between urologists and bioengineers is mandatory to improve the technology. PATIENT
SUMMARY: In this report, we found that an accurate three-dimensional reconstruction of the kidney before conservative surgery for renal cancer seems to help in avoiding the global ischemia of the kidney. Further studies are needed to conclude if avoiding a percentage of ischemia to the kidney is clinically relevant.
Copyright © 2018 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Augmented reality; Fluorescence; Partial nephrectomy; Precision surgery; Renal ischemia; Three-dimensional reconstruction

Mesh:

Year:  2018        PMID: 29317081     DOI: 10.1016/j.eururo.2017.12.027

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  24 in total

1.  3D imaging applications for robotic urologic surgery: an ESUT YAUWP review.

Authors:  Enrico Checcucci; Daniele Amparore; Cristian Fiori; Matteo Manfredi; Morra Ivano; Michele Di Dio; Gabriel Niculescu; Federico Piramide; Giovanni Cattaneo; Pietro Piazzolla; Giovanni Enrico Cacciamani; Riccardo Autorino; Francesco Porpiglia
Journal:  World J Urol       Date:  2019-08-27       Impact factor: 4.226

2.  Are nephrometry scores enough to select patients really fit for nephron sparing surgery?

Authors:  Francesco Porpiglia; Daniele Amparore; Angela Pecoraro; Enrico Checcucci
Journal:  Ann Transl Med       Date:  2019-09

3.  Evaluation of oncological outcomes of robotic partial nephrectomy according to the type of hilar control approach (On-clamp vs Off-clamp), a multicentric study of the French network of research on kidney cancer-UROCCR 58-NCT03293563.

Authors:  Adil Mellouki; Imad Bentellis; Arnoult Morrone; Nicolas Doumerc; Jean-Baptiste Beauval; Morgane Roupret; François-Xavier Nouhaud; Cedric Lebacle; Jean-Alexandre Long; Daniel Chevallier; Brannwel Tibi; Aysha Shaikh; L Imbert de la Phalecque; Pierre Pillot; Xavier Tillou; Jean-Christophe Bernhard; Matthieu Durand; Youness Ahallal
Journal:  World J Urol       Date:  2021-02-19       Impact factor: 4.226

4.  3D-Image guided robotic-assisted partial nephrectomy: a multi-institutional propensity score-matched analysis (UroCCR study 51).

Authors:  Clément Michiels; Zine-Eddine Khene; Thomas Prudhomme; Astrid Boulenger de Hauteclocque; François H Cornelis; Mélanie Percot; Hélène Simeon; Laure Dupitout; Henri Bensadoun; Grégoire Capon; Eric Alezra; Vincent Estrade; Franck Bladou; Grégoire Robert; Jean-Marie Ferriere; Nicolas Grenier; Nicolas Doumerc; Karim Bensalah; Jean-Christophe Bernhard
Journal:  World J Urol       Date:  2021-04-02       Impact factor: 4.226

5.  Methods and Applications of 3D Patient-Specific Virtual Reconstructions in Surgery.

Authors:  Jordan Fletcher
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

6.  Robotic partial nephrectomy in 3D virtual reconstructions era: is the paradigm changed?

Authors:  Enrico Checcucci; Francesco Porpiglia; Daniele Amparore; Federico Piramide; Sabrina De Cillis; Paolo Verri; Alberto Piana; Angela Pecoraro; Mariano Burgio; Matteo Manfredi; Umberto Carbonara; Michele Marchioni; Riccardo Campi; Cristian Fiori
Journal:  World J Urol       Date:  2022-02-22       Impact factor: 4.226

7.  Virtual reality of three-dimensional surgical field for surgical planning and intraoperative management.

Authors:  Atsuko Fujihara; Osamu Ukimura
Journal:  World J Urol       Date:  2021-11-17       Impact factor: 4.226

Review 8.  A systematic review of the clinical value and applications of three-dimensional virtual reconstructions in renal tumors.

Authors:  Claudia-Gabriela Moldovanu; Andrei Lebovici; Mircea Marian Buruian
Journal:  Med Pharm Rep       Date:  2022-01-31

9.  A deep learning framework for real-time 3D model registration in robot-assisted laparoscopic surgery.

Authors:  Erica Padovan; Giorgia Marullo; Leonardo Tanzi; Pietro Piazzolla; Sandro Moos; Francesco Porpiglia; Enrico Vezzetti
Journal:  Int J Med Robot       Date:  2022-03-13       Impact factor: 2.483

10.  Interactive virtual 3D models of renal cancer patient anatomies alter partial nephrectomy surgical planning decisions and increase surgeon confidence compared to volume-rendered images.

Authors:  E R Hyde; L U Berger; N Ramachandran; A Hughes-Hallett; N P Pavithran; M G B Tran; S Ourselin; A Bex; F H Mumtaz
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-01-24       Impact factor: 2.924

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