Abderrahmane Khaddad1, Jean-Christophe Bernhard2,3, Gaëlle Margue2, Clément Michiels2, Solène Ricard3, Kilian Chandelon4, Franck Bladou2, Nicolas Bourdel4,5, Adrien Bartoli4,6. 1. Department of Urology, Hôpital Pellegrin, Bordeaux University Hospital, Bordeaux, France. khaddad.abder@gmail.com. 2. Department of Urology, Hôpital Pellegrin, Bordeaux University Hospital, Bordeaux, France. 3. French Research Network On Kidney Cancer UroCCR, Bordeaux, France. 4. Institut Pascal, UMR6602 CNRS, UCA, Clermont-Ferrand University Hospital, Clermont-Ferrand, France. 5. Department of Obstetrics and Gynecology, Clermont-Ferrand University Hospital, Clermont-Ferrand, France. 6. Department of Clinical Research and Innovation, Clermont-Ferrand University Hospital, Clermont-Ferrand, France.
Abstract
INTRODUCTION: Minimally invasive partial nephrectomy (MIPN) has become the standard of care for localized kidney tumors over the past decade. The characteristics of each tumor, in particular its size and relationship with the excretory tract and vessels, allow one to judge its complexity and to attempt predicting the risk of complications. The recent development of virtual 3D model reconstruction and computer vision has opened the way to image-guided surgery and augmented reality (AR). OBJECTIVE: Our objective was to perform a systematic review to list and describe the different AR techniques proposed to support PN. MATERIALS AND METHODS: The systematic review of the literature was performed on 12/04/22, using the keywords "nephrectomy" and "augmented reality" on Embase and Medline. Articles were considered if they reported surgical outcomes when using AR with virtual image overlay on real vision, during ex vivo or in vivo MIPN. We classified them according to the registration technique they use. RESULTS: We found 16 articles describing an AR technique during MIPN procedures that met the eligibility criteria. A moderate to high risk of bias was recorded for all the studies. We classified registration methods into three main families, of which the most promising one seems to be surface-based registration. CONCLUSION: Despite promising results, there do not exist studies showing an improvement in clinical outcomes using AR. The ideal AR technique is probably yet to be established, as several designs are still being actively explored. More clinical data will be required to establish the potential contribution of this technology to MIPN.
INTRODUCTION: Minimally invasive partial nephrectomy (MIPN) has become the standard of care for localized kidney tumors over the past decade. The characteristics of each tumor, in particular its size and relationship with the excretory tract and vessels, allow one to judge its complexity and to attempt predicting the risk of complications. The recent development of virtual 3D model reconstruction and computer vision has opened the way to image-guided surgery and augmented reality (AR). OBJECTIVE: Our objective was to perform a systematic review to list and describe the different AR techniques proposed to support PN. MATERIALS AND METHODS: The systematic review of the literature was performed on 12/04/22, using the keywords "nephrectomy" and "augmented reality" on Embase and Medline. Articles were considered if they reported surgical outcomes when using AR with virtual image overlay on real vision, during ex vivo or in vivo MIPN. We classified them according to the registration technique they use. RESULTS: We found 16 articles describing an AR technique during MIPN procedures that met the eligibility criteria. A moderate to high risk of bias was recorded for all the studies. We classified registration methods into three main families, of which the most promising one seems to be surface-based registration. CONCLUSION: Despite promising results, there do not exist studies showing an improvement in clinical outcomes using AR. The ideal AR technique is probably yet to be established, as several designs are still being actively explored. More clinical data will be required to establish the potential contribution of this technology to MIPN.