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Hybrid Simulation and Planning Platform for Cryosurgery with Microsoft HoloLens

Cryosurgery is a technique of growing popularity involving tissue ablation under controlled freezing. Technological advancement of devices along with surgical technique improvements have turned cryosurgery from an experimental to an established option for treating several diseases. However, cryosurg...

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Autores principales: Condino, Sara, Cutolo, Fabrizio, Cattari, Nadia, Colangeli, Simone, Parchi, Paolo Domenico, Piazza, Roberta, Ruinato, Alfio Damiano, Capanna, Rodolfo, Ferrari, Vincenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272062/
https://www.ncbi.nlm.nih.gov/pubmed/34209748
http://dx.doi.org/10.3390/s21134450
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author Condino, Sara
Cutolo, Fabrizio
Cattari, Nadia
Colangeli, Simone
Parchi, Paolo Domenico
Piazza, Roberta
Ruinato, Alfio Damiano
Capanna, Rodolfo
Ferrari, Vincenzo
author_facet Condino, Sara
Cutolo, Fabrizio
Cattari, Nadia
Colangeli, Simone
Parchi, Paolo Domenico
Piazza, Roberta
Ruinato, Alfio Damiano
Capanna, Rodolfo
Ferrari, Vincenzo
author_sort Condino, Sara
collection PubMed
description Cryosurgery is a technique of growing popularity involving tissue ablation under controlled freezing. Technological advancement of devices along with surgical technique improvements have turned cryosurgery from an experimental to an established option for treating several diseases. However, cryosurgery is still limited by inaccurate planning based primarily on 2D visualization of the patient’s preoperative images. Several works have been aimed at modelling cryoablation through heat transfer simulations; however, most software applications do not meet some key requirements for clinical routine use, such as high computational speed and user-friendliness. This work aims to develop an intuitive platform for anatomical understanding and pre-operative planning by integrating the information content of radiological images and cryoprobe specifications either in a 3D virtual environment (desktop application) or in a hybrid simulator, which exploits the potential of the 3D printing and augmented reality functionalities of Microsoft HoloLens. The proposed platform was preliminarily validated for the retrospective planning/simulation of two surgical cases. Results suggest that the platform is easy and quick to learn and could be used in clinical practice to improve anatomical understanding, to make surgical planning easier than the traditional method, and to strengthen the memorization of surgical planning.
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spelling pubmed-82720622021-07-11 Hybrid Simulation and Planning Platform for Cryosurgery with Microsoft HoloLens Condino, Sara Cutolo, Fabrizio Cattari, Nadia Colangeli, Simone Parchi, Paolo Domenico Piazza, Roberta Ruinato, Alfio Damiano Capanna, Rodolfo Ferrari, Vincenzo Sensors (Basel) Article Cryosurgery is a technique of growing popularity involving tissue ablation under controlled freezing. Technological advancement of devices along with surgical technique improvements have turned cryosurgery from an experimental to an established option for treating several diseases. However, cryosurgery is still limited by inaccurate planning based primarily on 2D visualization of the patient’s preoperative images. Several works have been aimed at modelling cryoablation through heat transfer simulations; however, most software applications do not meet some key requirements for clinical routine use, such as high computational speed and user-friendliness. This work aims to develop an intuitive platform for anatomical understanding and pre-operative planning by integrating the information content of radiological images and cryoprobe specifications either in a 3D virtual environment (desktop application) or in a hybrid simulator, which exploits the potential of the 3D printing and augmented reality functionalities of Microsoft HoloLens. The proposed platform was preliminarily validated for the retrospective planning/simulation of two surgical cases. Results suggest that the platform is easy and quick to learn and could be used in clinical practice to improve anatomical understanding, to make surgical planning easier than the traditional method, and to strengthen the memorization of surgical planning. MDPI 2021-06-29 /pmc/articles/PMC8272062/ /pubmed/34209748 http://dx.doi.org/10.3390/s21134450 Text en © 2021 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 Article
Condino, Sara
Cutolo, Fabrizio
Cattari, Nadia
Colangeli, Simone
Parchi, Paolo Domenico
Piazza, Roberta
Ruinato, Alfio Damiano
Capanna, Rodolfo
Ferrari, Vincenzo
Hybrid Simulation and Planning Platform for Cryosurgery with Microsoft HoloLens
title Hybrid Simulation and Planning Platform for Cryosurgery with Microsoft HoloLens
title_full Hybrid Simulation and Planning Platform for Cryosurgery with Microsoft HoloLens
title_fullStr Hybrid Simulation and Planning Platform for Cryosurgery with Microsoft HoloLens
title_full_unstemmed Hybrid Simulation and Planning Platform for Cryosurgery with Microsoft HoloLens
title_short Hybrid Simulation and Planning Platform for Cryosurgery with Microsoft HoloLens
title_sort hybrid simulation and planning platform for cryosurgery with microsoft hololens
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272062/
https://www.ncbi.nlm.nih.gov/pubmed/34209748
http://dx.doi.org/10.3390/s21134450
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