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3D Model Artificial Intelligence-Guided Automatic Augmented Reality Images during Robotic Partial Nephrectomy

More than ever, precision surgery is making its way into modern surgery for functional organ preservation. This is possible mainly due to the increasing number of technologies available, including 3D models, virtual reality, augmented reality, and artificial intelligence. Intraoperative surgical nav...

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Autores principales: Sica, Michele, Piazzolla, Pietro, Amparore, Daniele, Verri, Paolo, De Cillis, Sabrina, Piramide, Federico, Volpi, Gabriele, Piana, Alberto, Di Dio, Michele, Alba, Stefano, Gatti, Cecilia, Burgio, Mariano, Busacca, Giovanni, Giordano, Angelo, Fiori, Cristian, Porpiglia, Francesco, Checcucci, Enrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670293/
https://www.ncbi.nlm.nih.gov/pubmed/37998590
http://dx.doi.org/10.3390/diagnostics13223454
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author Sica, Michele
Piazzolla, Pietro
Amparore, Daniele
Verri, Paolo
De Cillis, Sabrina
Piramide, Federico
Volpi, Gabriele
Piana, Alberto
Di Dio, Michele
Alba, Stefano
Gatti, Cecilia
Burgio, Mariano
Busacca, Giovanni
Giordano, Angelo
Fiori, Cristian
Porpiglia, Francesco
Checcucci, Enrico
author_facet Sica, Michele
Piazzolla, Pietro
Amparore, Daniele
Verri, Paolo
De Cillis, Sabrina
Piramide, Federico
Volpi, Gabriele
Piana, Alberto
Di Dio, Michele
Alba, Stefano
Gatti, Cecilia
Burgio, Mariano
Busacca, Giovanni
Giordano, Angelo
Fiori, Cristian
Porpiglia, Francesco
Checcucci, Enrico
author_sort Sica, Michele
collection PubMed
description More than ever, precision surgery is making its way into modern surgery for functional organ preservation. This is possible mainly due to the increasing number of technologies available, including 3D models, virtual reality, augmented reality, and artificial intelligence. Intraoperative surgical navigation represents an interesting application of these technologies, allowing to understand in detail the surgical anatomy, planning a patient-tailored approach. Automatic superimposition comes into this context to optimally perform surgery as accurately as possible. Through a dedicated software (the first version) called iKidney, it is possible to superimpose the images using 3D models and live endoscopic images during partial nephrectomy, targeting the renal mass only. The patient is 31 years old with a 28 mm totally endophytic right-sided renal mass, with a PADUA score of 9. Thanks to the automatic superimposition and selective clamping, an enucleoresection of the renal mass alone was performed with no major postoperative complication (i.e., Clavien–Dindo < 2). iKidney-guided partial nephrectomy is safe, feasible, and yields excellent results in terms of organ preservation and functional outcomes. Further validation studies are needed to improve the prototype software, particularly to improve the rotational axes and avoid human help. Furthermore, it is important to reduce the costs associated with these technologies to increase its use in smaller hospitals.
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spelling pubmed-106702932023-11-16 3D Model Artificial Intelligence-Guided Automatic Augmented Reality Images during Robotic Partial Nephrectomy Sica, Michele Piazzolla, Pietro Amparore, Daniele Verri, Paolo De Cillis, Sabrina Piramide, Federico Volpi, Gabriele Piana, Alberto Di Dio, Michele Alba, Stefano Gatti, Cecilia Burgio, Mariano Busacca, Giovanni Giordano, Angelo Fiori, Cristian Porpiglia, Francesco Checcucci, Enrico Diagnostics (Basel) Case Report More than ever, precision surgery is making its way into modern surgery for functional organ preservation. This is possible mainly due to the increasing number of technologies available, including 3D models, virtual reality, augmented reality, and artificial intelligence. Intraoperative surgical navigation represents an interesting application of these technologies, allowing to understand in detail the surgical anatomy, planning a patient-tailored approach. Automatic superimposition comes into this context to optimally perform surgery as accurately as possible. Through a dedicated software (the first version) called iKidney, it is possible to superimpose the images using 3D models and live endoscopic images during partial nephrectomy, targeting the renal mass only. The patient is 31 years old with a 28 mm totally endophytic right-sided renal mass, with a PADUA score of 9. Thanks to the automatic superimposition and selective clamping, an enucleoresection of the renal mass alone was performed with no major postoperative complication (i.e., Clavien–Dindo < 2). iKidney-guided partial nephrectomy is safe, feasible, and yields excellent results in terms of organ preservation and functional outcomes. Further validation studies are needed to improve the prototype software, particularly to improve the rotational axes and avoid human help. Furthermore, it is important to reduce the costs associated with these technologies to increase its use in smaller hospitals. MDPI 2023-11-16 /pmc/articles/PMC10670293/ /pubmed/37998590 http://dx.doi.org/10.3390/diagnostics13223454 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Case Report
Sica, Michele
Piazzolla, Pietro
Amparore, Daniele
Verri, Paolo
De Cillis, Sabrina
Piramide, Federico
Volpi, Gabriele
Piana, Alberto
Di Dio, Michele
Alba, Stefano
Gatti, Cecilia
Burgio, Mariano
Busacca, Giovanni
Giordano, Angelo
Fiori, Cristian
Porpiglia, Francesco
Checcucci, Enrico
3D Model Artificial Intelligence-Guided Automatic Augmented Reality Images during Robotic Partial Nephrectomy
title 3D Model Artificial Intelligence-Guided Automatic Augmented Reality Images during Robotic Partial Nephrectomy
title_full 3D Model Artificial Intelligence-Guided Automatic Augmented Reality Images during Robotic Partial Nephrectomy
title_fullStr 3D Model Artificial Intelligence-Guided Automatic Augmented Reality Images during Robotic Partial Nephrectomy
title_full_unstemmed 3D Model Artificial Intelligence-Guided Automatic Augmented Reality Images during Robotic Partial Nephrectomy
title_short 3D Model Artificial Intelligence-Guided Automatic Augmented Reality Images during Robotic Partial Nephrectomy
title_sort 3d model artificial intelligence-guided automatic augmented reality images during robotic partial nephrectomy
topic Case Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670293/
https://www.ncbi.nlm.nih.gov/pubmed/37998590
http://dx.doi.org/10.3390/diagnostics13223454
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