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Chandelon K, Bartoli A. Synchronising a stereoscopic surgical video stream using specular reflection. Int J Comput Assist Radiol Surg 2024:10.1007/s11548-024-03232-w. [PMID: 39058410 DOI: 10.1007/s11548-024-03232-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 06/28/2024] [Indexed: 07/28/2024]
Abstract
PURPOSE A stereoscopic surgical video stream consists of left-right image pairs provided by a stereo endoscope. While the surgical display shows these image pairs synchronised, most capture cards cause de-synchronisation. This means that the paired left and right images may not correspond once used in downstream tasks such as stereo depth computation. The stereo synchronisation problem is to recover the corresponding left-right images. This is particularly challenging in the surgical setting, owing to the moist tissues, rapid camera motion, quasi-staticity and real-time processing requirement. Existing methods exploit image cues from the diffuse reflection component and are defeated by the above challenges. METHODS We propose to exploit the specular reflection. Specifically, we propose a powerful left-right comparison score (LRCS) using the specular highlights commonly occurring on moist tissues. We detect the highlights using a neural network, characterise them with invariant descriptors, match them, and use the number of matches to form the proposed LRCS. We perform evaluation against 147 existing LRCS in 44 challenging robotic partial nephrectomy and robotic-assisted hepatic resection video sequences with simulated and real de-synchronisation. RESULTS The proposed LRCS outperforms, with an average and maximum offsets of 0.055 and 1 frames and 94.1±3.6% successfully synchronised frames. In contrast, the best existing LRCS achieves an average and maximum offsets of 0.3 and 3 frames and 81.2±6.4% successfully synchronised frames. CONCLUSION The use of specular reflection brings a tremendous boost to the real-time surgical stereo synchronisation problem.
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Affiliation(s)
- Kilian Chandelon
- EnCoV, Institut Pascal, UMR6602 CNRS, UCA, Clermont-Ferrand University Hospital, Clermont-Ferrand, France.
- SURGAR - Surgical Augmented Reality, Clermont-Ferrand, France.
| | - Adrien Bartoli
- EnCoV, Institut Pascal, UMR6602 CNRS, UCA, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
- SURGAR - Surgical Augmented Reality, Clermont-Ferrand, France
- Department of Clinical Research and Innovation, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
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2
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Guo H, Zhang L, Shao Y, An K, Hu C, Liang X, Wang D. The impact of positive surgical margin parameters and pathological stage on biochemical recurrence after radical prostatectomy: A systematic review and meta-analysis. PLoS One 2024; 19:e0301653. [PMID: 38990870 PMCID: PMC11239040 DOI: 10.1371/journal.pone.0301653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 06/22/2024] [Indexed: 07/13/2024] Open
Abstract
BACKGROUND To systematically review and perform a meta-analysis on the predictive value of the primary Gleason grade (PGG) at the positive surgical margin (PSM), length of PSM, number of PSMs, and pathological stage of the primary tumor on biochemical recurrence (BCR) in patients with prostate cancer (PCa) after radical prostatectomy (RP). METHODS A systematic literature search was performed using electronic databases, including PubMed, EMBASE, Cochrane Library, and Web of Science, from January 1, 2005, to October 1, 2023. The protocol was pre-registered in PROSPERO. Subgroup analyses were performed according to the different treatments and study outcomes. Pooled hazard ratios with 95% confidence intervals were extracted from multivariate analyses, and a fixed or random effect model was used to pool the estimates. Subgroup analyses were performed to explore the reasons for the heterogeneity. RESULTS Thirty-one studies that included 50,028 patients with PCa were eligible for this meta-analysis. The results showed that, compared to PGG3, PGG4/5 was associated with a significantly increased risk of BCR. Compared with PSM ≤3 mm, PSM ≥3 mm was associated with a significantly increased risk of BCR. Compared with unifocal PSM, multifocal PSM (mF-PSM) was associated with a significantly increased risk of BCR. In addition, pT >2 was associated with a significantly increased risk of BCR compared to pT2. Notably, the findings were found to be reliable based on the sensitivity and subgroup analyses. CONCLUSIONS PGG at the PSM, length of PSM, number of PSMs, and pathological stage of the primary tumor in patients with PCa were found to be associated with a significantly increased risk of BCR. Thus, patients with these factors should be treated differently in terms of receiving adjunct treatment and more frequent monitoring. Large-scale, well-designed prospective studies with longer follow-up periods are needed to validate the efficacy of these risk factors and their effects on patient responses to adjuvant and salvage therapies and other oncological outcomes.
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Affiliation(s)
- Hong Guo
- Department of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- First College of Clinical Medicine, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Lei Zhang
- Department of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Yuan Shao
- Department of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Kunyang An
- First College of Clinical Medicine, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Caoyang Hu
- Department of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Xuezhi Liang
- Department of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Dongwen Wang
- First College of Clinical Medicine, Shanxi Medical University, Taiyuan, Shanxi, China
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
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Esperto F, Testa A, Territo A, Faiella E, Papalia R, Scarpa RM. Applications of augmented reality in urology: expanding its potentials and fields of usage. Minerva Urol Nephrol 2024; 76:252-253. [PMID: 38742558 DOI: 10.23736/s2724-6051.24.05888-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Affiliation(s)
| | - Antonio Testa
- Department of Urology, Campus Bio-Medico University, Rome, Italy
| | - Angelo Territo
- Department of Urology, Autonomous University of Barcelona, Barcelona, Spain
| | - Eliodoro Faiella
- Department of Radiology, Campus Bio-Medico University, Rome, Italy
| | - Rocco Papalia
- Department of Urology, Campus Bio-Medico University, Rome, Italy
| | - Roberto M Scarpa
- Department of Urology, Campus Bio-Medico University, Rome, Italy
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Maisons V, Lanot A, Luque Y, Sautenet B, Esteve E, Guillouet E, François H, Bobot M. Simulation-based learning in nephrology. Clin Kidney J 2024; 17:sfae059. [PMID: 38680455 PMCID: PMC11053359 DOI: 10.1093/ckj/sfae059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Indexed: 05/01/2024] Open
Abstract
Simulation is a technique to replace and amplify real experiences with guided ones that evoke or replicate substantial aspects of the real world in a fully interactive fashion. In nephrology (a particularly complex specialty), simulation can be used by patients, nurses, residents, and attending physicians alike. It allows one to learn techniques outside the stressful environment of care such as central venous catheter placement, arteriovenous fistula management, learning about peritoneal dialysis, or performing a kidney biopsy. Serious games and virtual reality are emerging methods that show promise. Simulation could also be important in relational aspects of working in a team or with the patient. The development of simulation as a teaching tool in nephrology allows for maintaining high-quality training for residents, tailored to their future practice, and minimizing risks for patients. Additionally, this education helps nephrologists maintain mastery of technical procedures, making the specialty attractive to younger generations. Unfortunately, the inclusion of simulation training programmes faces occasional logistical or funding limitations that universities must overcome with the assistance and innovation of teaching nephrologists. The impact of simulation-based teaching on clinical outcomes needs to be investigated in clinical studies.
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Affiliation(s)
- Valentin Maisons
- Service de Néphrologie, CHU de Tours, Tours, France
- U1246, INSERM, SPHERE, Université de Tours, Université de Nantes, Tours, Nantes, France, INI-CRCT, France
| | - Antoine Lanot
- Normandie University, Unicaen, CHU de Caen Normandie, Nephrology, Côte de Nacre Caen, France
- “ANTICIPE” U1086 INSERM-UCN, Centre Francois Baclesse, 3 Av. du General Harris, Caen, France
| | - Yosu Luque
- Soins Intensifs Néphrologiques Rein Aigu, Hôpital Tenon, APHP, Paris, France
- Sorbonne Université, INSERM UMR_S1155, CORAKID, Hôpital Tenon, Paris, France
| | - Benedicte Sautenet
- Service de Néphrologie, CHU de Tours, Tours, France
- U1246, INSERM, SPHERE, Université de Tours, Université de Nantes, Tours, Nantes, France, INI-CRCT, France
| | - Emmanuel Esteve
- Sorbonne Université, INSERM UMR_S1155, CORAKID, Hôpital Tenon, Paris, France
- Service Néphrologie et Dialyses, Département de Néphrologie, Hôpital Tenon, APHP, Paris, France
| | - Erwan Guillouet
- Normandie University, Unicaen, CHU de Caen Normandie, Nephrology, Côte de Nacre Caen, France
- NorSimS Simulation Center, Caen University Hospital, Caen, France
| | - Hélène François
- Sorbonne Université, INSERM UMR_S1155, CORAKID, Hôpital Tenon, Paris, France
- Service de Transplantation rénale-Néphrologie, Département de néphrologie, Hôpital Pitié Salpétrière, APHP, Paris, France
| | - Mickaël Bobot
- Centre de Néphrologie et Transplantation Rénale, Hôpital de la Conception, AP-HM, Marseille, France
- Aix Marseille Univ, INSERM 1263, INRAE 1260, C2VN, Marseille, France
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Wang H, Xie D, Wang S, Wu L, Chu Y, Yang P, He W, Wang J. The value of preoperative neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and red blood cell distribution width in predicting positive surgical margin after laparoscopic radical prostatectomy. Cancer Rep (Hoboken) 2024; 7:e1977. [PMID: 38258491 PMCID: PMC10849998 DOI: 10.1002/cnr2.1977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 12/07/2023] [Accepted: 12/28/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Prostate cancer (PCa) is one of the most common malignant tumors in men, and laparoscopic radical prostatectomy (LRP) is commonly used to treat localized and advanced PCa. Positive surgical margin (PSM) is one of the most frequent problems faced by surgeons. AIMS This study aimed to explore the value of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and red blood cell distribution width (RDW) in predicting PSM after LRP. METHODS AND RESULTS Three hundred and twenty patients with PCa were admitted and underwent LRP in Beijing Chaoyang Hospital from January 2017 to June 2023. Patients were randomly divided into a training set (225 cases) and a validation set (95 cases) in a 7:3 ratio. NLR, PLR, and RDW were significantly higher in the PSM group than in the negative surgical margins (NSM) group. In addition, the NLR, PLR, and RDW values correlated with clinical T stage, Gleason score, and seminal vesicle invasion in the PSM group. In training set, ROC curve analysis revealed that the optimal cutoff values of NLR, PLR, and RDW for predicting postoperative PSM in PCa were 2.31, 115.40, and 12.85%, respectively. Multivariate Logistic regression analysis showed NLR and RDW were the clinical independent predictors. The area under the curve (AUC, 0.770, 95% CI 0.709-0.831) for postoperative PSM was the highest when a combination of the three parameters was used, with sensitivity and specificity of 62.5% and 85.2%, respectively. In validation set, the AUC values for NLR, PLR, RDW and the three markers combined were 0.708, 0.675, 0.723, and 0.780, respectively. Correlation analysis showed that in the PSM group, NLR was positively correlated with PLR and RDW, and PLR was positively correlated with RDW. By contrast, in the NSM group, a positive association was only found between NLR and PLR. CONCLUSIONS Higher preoperative NLR, PLR, and RDW values were associated with postoperative PSM. Additionally, the three markers combined may be useful to predict PSM.
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Affiliation(s)
- Hao Wang
- Department of UrologyBeijing Chaoyang Hospital, Capital Medical UniversityBeijingChina
| | - Dawei Xie
- Department of UrologyBeijing Chaoyang Hospital, Capital Medical UniversityBeijingChina
| | - Siqi Wang
- Department of UrologyBeijing Chaoyang Hospital, Capital Medical UniversityBeijingChina
| | - Liyang Wu
- Department of UrologyBeijing Chaoyang Hospital, Capital Medical UniversityBeijingChina
| | - Yifan Chu
- Department of UrologyCapital Medical University Daxing Teaching HospitalBeijingChina
| | - Pushen Yang
- Department of UrologyBeijing Chaoyang Hospital, Capital Medical UniversityBeijingChina
| | - Weifeng He
- Department of UrologyBeijing Chaoyang Hospital, Capital Medical UniversityBeijingChina
| | - Jianwen Wang
- Department of UrologyBeijing Chaoyang Hospital, Capital Medical UniversityBeijingChina
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Lembo D, Abate Daga F, Calì C, Garbossa D, Manfredi M, Odetto L, Ostacoli L, Paccotti P, Raimondo S, Reimondo G, Sciascia S. Early introduction of simulation in the medical curriculum: the MedInTo perspective. Front Med (Lausanne) 2024; 10:1280592. [PMID: 38239607 PMCID: PMC10794325 DOI: 10.3389/fmed.2023.1280592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 11/22/2023] [Indexed: 01/22/2024] Open
Abstract
Despite the increasing body of evidence supporting the use of simulation in medicine, a question remains: when should we introduce it into the medical school's curriculum? We present the experience and future perspectives of the MD program in Medicine and Surgery of University of Turin-MedInTo. Since its launch, MedInTo has been dedicated to integrating innovative teaching approaches at the early stages into the medical curriculum. Herewith, we describe a case-based approach for our activities, which includes the utilization of simulation for emergency medical care training for students and the integration of virtual and augmented reality technology. Dedicated surgical training activities using virtual-augmented reality and life-like simulator for students are also described.
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Affiliation(s)
- David Lembo
- MD Program in Medicine and Surgery of University of Turin-MedInTo, Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
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Amparore D, Sica M, Verri P, Piramide F, Checcucci E, De Cillis S, Piana A, Campobasso D, Burgio M, Cisero E, Busacca G, Di Dio M, Piazzolla P, Fiori C, Porpiglia F. Computer Vision and Machine-Learning Techniques for Automatic 3D Virtual Images Overlapping During Augmented Reality Guided Robotic Partial Nephrectomy. Technol Cancer Res Treat 2024; 23:15330338241229368. [PMID: 38374643 PMCID: PMC10878218 DOI: 10.1177/15330338241229368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024] Open
Abstract
OBJECTIVES The research's purpose is to develop a software that automatically integrates and overlay 3D virtual models of kidneys harboring renal masses into the Da Vinci robotic console, assisting surgeon during the intervention. INTRODUCTION Precision medicine, especially in the field of minimally-invasive partial nephrectomy, aims to use 3D virtual models as a guidance for augmented reality robotic procedures. However, the co-registration process of the virtual images over the real operative field is performed manually. METHODS In this prospective study, two strategies for the automatic overlapping of the model over the real kidney were explored: the computer vision technology, leveraging the super-enhancement of the kidney allowed by the intraoperative injection of Indocyanine green for superimposition and the convolutional neural network technology, based on the processing of live images from the endoscope, after a training of the software on frames from prerecorded videos of the same surgery. The work-team, comprising a bioengineer, a software-developer and a surgeon, collaborated to create hyper-accuracy 3D models for automatic 3D-AR-guided RAPN. For each patient, demographic and clinical data were collected. RESULTS Two groups (group A for the first technology with 12 patients and group B for the second technology with 8 patients) were defined. They showed comparable preoperative and post-operative characteristics. Concerning the first technology the average co-registration time was 7 (3-11) seconds while in the case of the second technology 11 (6-13) seconds. No major intraoperative or postoperative complications were recorded. There were no differences in terms of functional outcomes between the groups at every time-point considered. CONCLUSION The first technology allowed a successful anchoring of the 3D model to the kidney, despite minimal manual refinements. The second technology improved kidney automatic detection without relying on indocyanine injection, resulting in better organ boundaries identification during tests. Further studies are needed to confirm this preliminary evidence.
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Affiliation(s)
- Daniele Amparore
- Division of Urology, Dept. of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy
| | - Michele Sica
- Division of Urology, Dept. of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy
| | - Paolo Verri
- Division of Urology, Dept. of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy
| | - Federico Piramide
- Division of Urology, Dept. of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy
| | - Enrico Checcucci
- Department of Surgery, Candiolo Cancer Institute FPO-IRCCS, Candiolo, Italy
| | - Sabrina De Cillis
- Division of Urology, Dept. of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy
| | - Alberto Piana
- Division of Urology, Dept. of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy
- Department of Urology, Romolo Hospital, Rocca di Neto (KR), Italy
| | - Davide Campobasso
- Urology Unit, University Hospital of Parma, Parma, Italy
- 2 Level Master Degree Program in Advanced Robotic and Laparoscopic Surgery in Urology, Division of Urology, Dept. of Oncology, School of Medicine, University of Turin, San Luigi, Italy
| | - Mariano Burgio
- Division of Urology, Dept. of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy
| | - Edoardo Cisero
- Division of Urology, Dept. of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy
| | - Giovanni Busacca
- Division of Urology, Dept. of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy
| | - Michele Di Dio
- Division of Urology, Department of Surgery, Annunziata Hospital, Cosenza, Italy
| | - Pietro Piazzolla
- Department of Management and Production Engineer, Polytechnic University of Turin, Turin, Italy
| | - Cristian Fiori
- Division of Urology, Dept. of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy
| | - Francesco Porpiglia
- Division of Urology, Dept. of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy
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Puliatti S, Eissa A, Ferretti S, Micali S, Bianchi G. Fluorescence laser confocal microscopy: a glimpse from the future. Minerva Urol Nephrol 2023; 75:786-787. [PMID: 38126294 DOI: 10.23736/s2724-6051.23.05641-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Affiliation(s)
- Stefano Puliatti
- Department of Urology, University of Modena and Reggio Emilia, Modena, Italy -
| | - Ahmed Eissa
- Department of Urology, University of Modena and Reggio Emilia, Modena, Italy
- Department of Urology, Faculty of Medicine, University of Tanta, Tanta, Egypt
| | - Stefania Ferretti
- Department of Urology, University of Modena and Reggio Emilia, Modena, Italy
| | - Salvatore Micali
- Department of Urology, University of Modena and Reggio Emilia, Modena, Italy
| | - Giampaolo Bianchi
- Department of Urology, University of Modena and Reggio Emilia, Modena, Italy
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Bertolo R, Kuusk T, Mir MC. Three-dimensional models-assisted minimally-invasive partial nephrectomy: looking forward to more evidence. Minerva Urol Nephrol 2023; 75:665-666. [PMID: 37674404 DOI: 10.23736/s2724-6051.23.05446-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Affiliation(s)
- Riccardo Bertolo
- Department of Urology, San Carlo di Nancy Hospital, Rome, Italy -
| | - Teele Kuusk
- Urology Department, Homerton University Hospital, London, UK
| | - Maria C Mir
- Service of Urology, Fundación Investigación Hospital IMED Valencia, Valencia, Spain
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Checcucci E, Piana A, Volpi G, Piazzolla P, Amparore D, De Cillis S, Piramide F, Gatti C, Stura I, Bollito E, Massa F, Di Dio M, Fiori C, Porpiglia F. Three-dimensional automatic artificial intelligence driven augmented-reality selective biopsy during nerve-sparing robot-assisted radical prostatectomy: A feasibility and accuracy study. Asian J Urol 2023; 10:407-415. [PMID: 38024433 PMCID: PMC10659972 DOI: 10.1016/j.ajur.2023.08.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 05/21/2023] [Accepted: 07/06/2023] [Indexed: 12/01/2023] Open
Abstract
Objective To evaluate the accuracy of our new three-dimensional (3D) automatic augmented reality (AAR) system guided by artificial intelligence in the identification of tumour's location at the level of the preserved neurovascular bundle (NVB) at the end of the extirpative phase of nerve-sparing robot-assisted radical prostatectomy. Methods In this prospective study, we enrolled patients with prostate cancer (clinical stages cT1c-3, cN0, and cM0) with a positive index lesion at target biopsy, suspicious for capsular contact or extracapsular extension at preoperative multiparametric magnetic resonance imaging. Patients underwent robot-assisted radical prostatectomy at San Luigi Gonzaga Hospital (Orbassano, Turin, Italy), from December 2020 to December 2021. At the end of extirpative phase, thanks to our new AAR artificial intelligence driven system, the virtual prostate 3D model allowed to identify the tumour's location at the level of the preserved NVB and to perform a selective excisional biopsy, sparing the remaining portion of the bundle. Perioperative and postoperative data were evaluated, especially focusing on the positive surgical margin (PSM) rates, potency, continence recovery, and biochemical recurrence. Results Thirty-four patients were enrolled. In 15 (44.1%) cases, the target lesion was in contact with the prostatic capsule at multiparametric magnetic resonance imaging (Wheeler grade L2) while in 19 (55.9%) cases extracapsular extension was detected (Wheeler grade L3). 3D AAR guided biopsies were negative in all pathological tumour stage 2 (pT2) patients while they revealed the presence of cancer in 14 cases in the pT3 cohort (14/16; 87.5%). PSM rates were 0% and 7.1% in the pathological stages pT2 and pT3 (<3 mm, Gleason score 3), respectively. Conclusion With the proposed 3D AAR system, it is possible to correctly identify the lesion's location on the NVB in 87.5% of pT3 patients and perform a 3D-guided tailored nerve-sparing even in locally advanced diseases, without compromising the oncological safety in terms of PSM rates.
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Affiliation(s)
- Enrico Checcucci
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy
| | - Alberto Piana
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, To, Italy
| | - Gabriele Volpi
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy
| | - Pietro Piazzolla
- Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy
| | - Daniele Amparore
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, To, Italy
| | - Sabrina De Cillis
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, To, Italy
| | - Federico Piramide
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, To, Italy
| | - Cecilia Gatti
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, To, Italy
| | - Ilaria Stura
- Department of Public Health and Pediatric Sciences, School of Medicine, University of Turin, Italy
| | - Enrico Bollito
- Department of Pathology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Italy
| | - Federica Massa
- Department of Pathology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Italy
| | - Michele Di Dio
- SS Annunziata Hospital, Department of Surgery, Division of Urology, Cosenza, Italy
| | - Cristian Fiori
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, To, Italy
| | - Francesco Porpiglia
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, To, Italy
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11
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Dominique G, Kunitsky K, Natchagande G, Jalloh M, Gebreamlak AL, Lawal I, Agounkpe MM, Hodonou FD, Yevi DMI, Avakoudjo JDG, McCammon K, Watson G, Scotland KB. Evaluation of augmented reality technology in global urologic surgery. Am J Surg 2023; 226:471-476. [PMID: 37286453 PMCID: PMC10192066 DOI: 10.1016/j.amjsurg.2023.05.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/08/2023] [Accepted: 05/10/2023] [Indexed: 06/09/2023]
Abstract
BACKGROUND The COVID-19 pandemic drastically reduced opportunities for surgical skill sharing between high-income and low to middle-income countries. Augmented reality (AR) technology allows mentors in one country to virtually train a mentee in another country during surgical cases without international travel. We hypothesize that AR technology is an effective live surgical training and mentorship modality. METHODS Three senior urologic surgeons in the US and UK worked with four urologic surgeon trainees across the continent of Africa using AR systems. Trainers and trainees individually completed post-operative questionnaires evaluating their experience. RESULTS Trainees rated the quality of virtual training as equivalent to in-person training in 83% of cases (N = 5 of 6 responses). Trainers reported the technology's visual quality as "acceptable" in 67% of cases (N = 12 of 18 responses). The audiovisual capabilities of the technology had a "high" impact in the majority of the cases. CONCLUSION AR technology can effectively facilitate surgical training when in-person training is limited or unavailable.
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Affiliation(s)
- Georgina Dominique
- Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA; David Geffen School of Medicine at University of California, Los Angeles, CA, USA
| | - Kevin Kunitsky
- Kansas City University of Medicine and Bioscience, Kansas City, MO, USA
| | - Gilles Natchagande
- Universitaire Centre National Hospitalier Universitaire Hubert K. Maga de Cotonou, Benin
| | | | | | | | | | - Fred D Hodonou
- Universitaire Centre National Hospitalier Universitaire Hubert K. Maga de Cotonou, Benin
| | | | - Josué D G Avakoudjo
- Universitaire Centre National Hospitalier Universitaire Hubert K. Maga de Cotonou, Benin
| | | | - Graham Watson
- East Sussex Healthcare NHS Trust, East Sussex, United Kingdom
| | - Kymora B Scotland
- David Geffen School of Medicine at University of California, Los Angeles, CA, USA.
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12
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Randazzo G, Reitano G, Carletti F, Iafrate M, Betto G, Novara G, Dal Moro F, Zattoni F. Urology: a trip into metaverse. World J Urol 2023; 41:2647-2657. [PMID: 37552265 PMCID: PMC10582132 DOI: 10.1007/s00345-023-04560-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 07/27/2023] [Indexed: 08/09/2023] Open
Abstract
PURPOSE Metaverse is becoming an alternative world in which technology and virtual experiences are mixed with real life, and it holds the promise of changing our way of living. Healthcare is already changing thanks to Metaverse and its numerous applications. In particular, Urology and urologic patients can benefit in many ways from Metaverse. METHODS A non-systematic literature review identified recently published studies dealing with Metaverse. The database used for this review was PubMed, and the identified studies served as the base for a narrative analysis of the literature that explored the use of Metaverse in Urology. RESULTS Virtual consultations can enhance access to care and reduce distance and costs, and pain management and rehabilitation can find an incredible support in virtual reality, reducing anxiety and stress and improving adherence to therapy. Metaverse has the biggest potential in urologic surgery, where it can revolutionize both surgery planning, with 3D modeling and virtual surgeries, and intraoperatively, with augmented reality and artificial intelligence. Med Schools can implement Metaverse in anatomy and surgery lectures, providing an immersive environment for learning, and residents can use this platform for learning in a safe space at their own pace. However, there are also potential challenges and ethical concerns associated with the use of the metaverse in healthcare. CONCLUSIONS This paper provides an overview of the concept of the metaverse, its potential applications, challenges, and opportunities, and discusses the implications of its development in Urology.
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Affiliation(s)
- Gianmarco Randazzo
- Department Surgery, Oncology and Gastroenterology, Urologic Unit, University of Padova, 35122 Padua, Italy
| | - Giuseppe Reitano
- Department Surgery, Oncology and Gastroenterology, Urologic Unit, University of Padova, 35122 Padua, Italy
| | - Filippo Carletti
- Department Surgery, Oncology and Gastroenterology, Urologic Unit, University of Padova, 35122 Padua, Italy
| | - Massimo Iafrate
- Department Surgery, Oncology and Gastroenterology, Urologic Unit, University of Padova, 35122 Padua, Italy
| | - Giovanni Betto
- Department Surgery, Oncology and Gastroenterology, Urologic Unit, University of Padova, 35122 Padua, Italy
| | - Giacomo Novara
- Department Surgery, Oncology and Gastroenterology, Urologic Unit, University of Padova, 35122 Padua, Italy
| | - Fabrizio Dal Moro
- Department Surgery, Oncology and Gastroenterology, Urologic Unit, University of Padova, 35122 Padua, Italy
| | - Fabio Zattoni
- Department Surgery, Oncology and Gastroenterology, Urologic Unit, University of Padova, 35122 Padua, Italy
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13
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Lv XF, Zhong H, Yang HJ, He L, Xiong M, Zhang XL, Wang L, Fang W, Wu J. Study on the postoperative visual function recovery of children with concomitant exotropia based on an augmented reality plasticity model. Front Psychol 2023; 14:1025577. [PMID: 37818421 PMCID: PMC10560856 DOI: 10.3389/fpsyg.2023.1025577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 08/23/2023] [Indexed: 10/12/2023] Open
Abstract
Objective This study aimed to investigate the clinical application effect of an augmented reality (AR) plasticity model on the postoperative visual function recovery of children with concomitant exotropia. Methods Between September 2019 and October 2021, 28 patients with concomitant exotropia who visited Shenzhen Children's Hospital (9 male and 19 female) were enrolled in this study. The average age of the patients was 6.4 ± 1.8 years. Postoperative rehabilitation training was conducted using a personalized AR binocular visual perception plasticity model developed based on the patient's examination results. After 1 month, 3 months, and 6 months of training, the patients returned to the hospital for examinations of perceptual eye position, static zero-order stereopsis, dynamic first-order fine stereopsis, and dynamic second-order coarse stereopsis to compare the changes in eye position control and stereovision function. Results After 6 months of eye position training, the horizontal perception eye position of the 28 patients was significantly lower than that before training. The difference in eye position at the first and third months compared with that before training was not statistically significant (1st month: z = -2.255, p = 0.024 > 0.017; 3rd month: z = -2.277, p = 0.023 > 0.017; 6th month: z = -3.051, p = 0.002 < 0.017). The difference in vertical perceptual eye position after training compared with that before training was not statistically significant (1st month: z = -0.252, p = 0.801 > 0.017; 3rd month: z = -1.189, p = 0.234 > 0.017; 6th month: z = -2.225, p = 0.026 > 0.017). The difference in 0.8-m static zero-order stereopsis before and after training was not statistically significant (1st month: z = -2.111, p = 0.035 > 0.017; 3rd month: z = -1.097, p = 0.273 > 0.017; 6th month: z = -1.653, p = 0.098 > 0.017). The 1.5-m static zero-order stereopsis was improved after 1 month, 3 months, and 6 months of training compared with that before training (1st month: z = -3.134, p = 0.002 < 0.017; 3rd month: z = -2.835, p = 0.005 < 0.017; 6th month: z = -3.096, p = 0.002 < 0.017). Dynamic first-order fine stereopsis and dynamic second-order coarse stereopsis were measured in the 28 patients before and after training. Patients 1 and 18 had no dynamic first-order fine stereopsis before training, but both regained dynamic stereopsis after 1 month, 3 months, and 6 months of training. Patient 16 had no dynamic first-order fine stereopsis or dynamic second-order coarse stereopsis before training, but first-order and second-order stereopsis had been reconstructed after 1 month, 3 months, and 6 months of training. Conclusion Concomitant exotropia surgery improved the basic problem of eye position at the ocular muscle level, but the patient's perceptual eye position and visual function defects at the brain visual level remained. This might partly explain the poor postoperative clinical effect. The AR plasticity model can improve patients' horizontal perceptual eye position and multi-dimensional stereoscopic function, and its clinical effect warrants further study.
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Affiliation(s)
- Xiu-Fang Lv
- Department of Ophthalmology, Shenzhen Children’s Hospital, Shenzhen, China
| | - Hui Zhong
- Department of Ophthalmology, Shenzhen Children’s Hospital, Shenzhen, China
| | - Hao-Jiang Yang
- Department of Ophthalmology, The First Affiliated Hospital of Shenzhen University (Shenzhen Second People’s Hospital), Shenzhen, China
| | - Li He
- Department of Ophthalmology, Shenzhen Children’s Hospital, Shenzhen, China
| | - Mei Xiong
- Department of Ophthalmology, Shenzhen Children’s Hospital, Shenzhen, China
| | - Xiao-Ling Zhang
- Department of Ophthalmology, Shenzhen Children’s Hospital, Shenzhen, China
| | - Li Wang
- Department of Ophthalmology, Shenzhen Children’s Hospital, Shenzhen, China
| | - Wang Fang
- Department of Ophthalmology, Shenzhen Children’s Hospital, Shenzhen, China
| | - Jin Wu
- Department of Ophthalmology, Shenzhen Children’s Hospital, Shenzhen, China
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14
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Di Dio M, Barbuto S, Bisegna C, Bellin A, Boccia M, Amparore D, Verri P, Busacca G, Sica M, De Cillis S, Piramide F, Zaccone V, Piana A, Alba S, Volpi G, Fiori C, Porpiglia F, Checcucci E. Artificial Intelligence-Based Hyper Accuracy Three-Dimensional (HA3D ®) Models in Surgical Planning of Challenging Robotic Nephron-Sparing Surgery: A Case Report and Snapshot of the State-of-the-Art with Possible Future Implications. Diagnostics (Basel) 2023; 13:2320. [PMID: 37510065 PMCID: PMC10377834 DOI: 10.3390/diagnostics13142320] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/02/2023] [Accepted: 07/05/2023] [Indexed: 07/30/2023] Open
Abstract
Recently, 3D models (3DM) gained popularity in urology, especially in nephron-sparing interventions (NSI). Up to now, the application of artificial intelligence (AI) techniques alone does not allow us to obtain a 3DM adequate to plan a robot-assisted partial nephrectomy (RAPN). Integration of AI with computer vision algorithms seems promising as it allows to speed up the process. Herein, we present a 3DM realized with the integration of AI and a computer vision approach (CVA), displaying the utility of AI-based Hyper Accuracy Three-dimensional (HA3D®) models in preoperative planning and intraoperative decision-making process of challenging robotic NSI. A 54-year-old Caucasian female with no past medical history was referred to the urologist for incidental detection of the right renal mass. Preoperative contrast-enhanced abdominal CT confirmed a 35 × 25 mm lesion on the anterior surface of the upper pole (PADUA 7), with no signs of distant metastasis. CT images in DICOM format were processed to obtain a HA3D® model. RAPN was performed using Da Vinci Xi surgical system in a three-arm configuration. The enucleation strategy was achieved after selective clamping of the tumor-feeding artery. Overall operative time was 85 min (14 min of warm ischemia time). No intra-, peri- and post-operative complications were recorded. Histopathological examination revealed a ccRCC (stage pT1aNxMx). AI is breaking new ground in medical image analysis panorama, with enormous potential in organ/tissue classification and segmentation, thus obtaining 3DM automatically and repetitively. Realized with the integration of AI and CVA, the results of our 3DM were accurate as demonstrated during NSI, proving the potentialities of this approach for HA3D® models' reconstruction.
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Affiliation(s)
- Michele Di Dio
- Division of Urology, Department of Surgery, SS Annunziata Hospital, 87100 Cosenza, Italy
| | - Simona Barbuto
- Department of Oncology, Division of Urology, San Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy
| | - Claudio Bisegna
- Division of Urology, Department of Surgery, SS Annunziata Hospital, 87100 Cosenza, Italy
| | - Andrea Bellin
- Department of Oncology, Division of Urology, San Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy
| | - Mario Boccia
- Department of Oncology, Division of Urology, San Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy
| | - Daniele Amparore
- Department of Oncology, Division of Urology, San Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy
| | - Paolo Verri
- Department of Oncology, Division of Urology, San Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy
| | - Giovanni Busacca
- Department of Oncology, Division of Urology, San Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy
| | - Michele Sica
- Department of Oncology, Division of Urology, San Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy
| | - Sabrina De Cillis
- Department of Oncology, Division of Urology, San Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy
| | - Federico Piramide
- Department of Oncology, Division of Urology, San Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy
| | - Vincenzo Zaccone
- Division of Urology, Department of Surgery, SS Annunziata Hospital, 87100 Cosenza, Italy
| | - Alberto Piana
- Department of Oncology, Division of Urology, San Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy
- Romolo Hospital, 88821 Rocca di Neto, Italy
| | | | - Gabriele Volpi
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Cristian Fiori
- Department of Oncology, Division of Urology, San Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy
| | - Francesco Porpiglia
- Department of Oncology, Division of Urology, San Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy
| | - Enrico Checcucci
- Department of Oncology, Division of Urology, San Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy
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15
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Chierigo F, Tappero S, Galfano A, Dell'oglio P. Comment on: "To drain or not to drain in uro-oncological robotic surgery? A systematic review and meta-analysis". Minerva Urol Nephrol 2023; 75:404-406. [PMID: 37221830 DOI: 10.23736/s2724-6051.23.05355-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Affiliation(s)
- Francesco Chierigo
- Department of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
- IRCCS Ospedale Policlinico San Martino University Hospital, University of Genoa, Genoa, Italy
- Department of Surgical and Diagnostic Integrated Sciences (DISC), University of Genoa, Genoa, Italy
| | - Stefano Tappero
- Department of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
- IRCCS Ospedale Policlinico San Martino University Hospital, University of Genoa, Genoa, Italy
- Department of Surgical and Diagnostic Integrated Sciences (DISC), University of Genoa, Genoa, Italy
| | - Antonio Galfano
- Department of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Paolo Dell'oglio
- Department of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy -
- Department of Urology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital, Amsterdam, the Netherlands
- Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
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16
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Stephenson N, Pushparajah K, Wheeler G, Deng S, Schnabel JA, Simpson JM. Extended reality for procedural planning and guidance in structural heart disease - a review of the state-of-the-art. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2023:10.1007/s10554-023-02823-z. [PMID: 37103667 DOI: 10.1007/s10554-023-02823-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 02/22/2023] [Indexed: 04/28/2023]
Abstract
Extended reality (XR), which encompasses virtual, augmented and mixed reality, is an emerging medical imaging display platform which enables intuitive and immersive interaction in a three-dimensional space. This technology holds the potential to enhance understanding of complex spatial relationships when planning and guiding cardiac procedures in congenital and structural heart disease moving beyond conventional 2D and 3D image displays. A systematic review of the literature demonstrates a rapid increase in publications describing adoption of this technology. At least 33 XR systems have been described, with many demonstrating proof of concept, but with no specific mention of regulatory approval including some prospective studies. Validation remains limited, and true clinical benefit difficult to measure. This review describes and critically appraises the range of XR technologies and its applications for procedural planning and guidance in structural heart disease while discussing the challenges that need to be overcome in future studies to achieve safe and effective clinical adoption.
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Affiliation(s)
- Natasha Stephenson
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
- Department of Congenital Heart Disease, Evelina Children's Hospital, London, UK.
- St Thomas' Hospital, 3rd Floor, Lambeth Wing, SE1 7EH, London, UK.
| | - Kuberan Pushparajah
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Congenital Heart Disease, Evelina Children's Hospital, London, UK
| | - Gavin Wheeler
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Shujie Deng
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Julia A Schnabel
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Technical University of Munich, Munich, Germany
- Institute of Machine Learning in Biomedical Imaging, Helmholtz Center Munich, Munich, Germany
| | - John M Simpson
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Congenital Heart Disease, Evelina Children's Hospital, London, UK
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17
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Franco A, Amparore D, Porpiglia F, Autorino R. Augmented Reality-guided Robotic Surgery: Drilling Down a Giant Leap into Small Steps. Eur Urol 2023:S0302-2838(23)02699-4. [PMID: 37032185 DOI: 10.1016/j.eururo.2023.03.021] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 03/23/2023] [Indexed: 04/11/2023]
Affiliation(s)
- Antonio Franco
- Department of Urology, Rush University, Chicago, IL, USA; Department of Urology, Sant'Andrea Hospital, University of Rome La Sapienza, Rome, Italy
| | - Daniele Amparore
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy
| | - Francesco Porpiglia
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy
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18
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Checcucci E, Piramide F, De Cillis S, Volpi G, Piana A, Verri P, Bellin A, Di Dio M, Fiori C, Porpiglia F, Amparore D. Health Information Technology Usability Evaluation Scale (Health-ITUES) and User-Experience Questionnaire (UEQ) for 3D Intraoperative Cognitive Navigation (ICON3D TM) System for Urological Procedures. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59030624. [PMID: 36984625 PMCID: PMC10057936 DOI: 10.3390/medicina59030624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 03/12/2023] [Accepted: 03/13/2023] [Indexed: 03/30/2023]
Abstract
Backgound and objectives: In recent years, the adoption of 3D models for surgical planning and intraoperative guidance has gained a wide diffusion. The aim of this study was to evaluate the surgeons' perception and usability of ICON3DTM platform for robotic and laparoscopic urological surgical procedures. Materials and Methods: During the 10th edition of the Techno-Urology Meeting, surgeons and attendees had the opportunity to test the new ICON3DTM platform. The capability of the user to manipulate the model with hands/mouse, the software usability, the quality of the 3D model's reproduction, and the quality of its use during the surgery were evaluated with the Health Information Technology Usability Evaluation Scale (Health-ITUES) and the User-Experience Questionnaire (UEQ). Results: Fifty-three participants responded to the questionnaires. Based on the answers to the Health-ITUES questionnaire, ICON3DTM resulted to have a positive additional value in presurgical/surgical planning with 43.4% and 39.6% of responders that rated 4 (agree) and 5 (strongly agree), respectively. Regarding the UEQ questionnaire, both mouse and infrared hand-tracking system resulted to be easy to use for 99% of the responders, while the software resulted to be easy to use for 93.4% of the responders. Conclusions: In conclusion, ICON3DTM has been widely appreciated by urologists thanks to its various applications, from preoperative planning to its support for intraoperative decision-making in both robot-assisted and laparoscopic settings.
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Affiliation(s)
- Enrico Checcucci
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Federico Piramide
- Division of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy
| | - Sabrina De Cillis
- Division of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy
| | - Gabriele Volpi
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Alberto Piana
- Division of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy
| | - Paolo Verri
- Division of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy
| | - Andrea Bellin
- Division of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy
| | - Michele Di Dio
- Division of Urology, Department of Surgery, Annunziata Hospital, 10060 Cosenza, Italy
| | - Cristian Fiori
- Division of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy
| | - Francesco Porpiglia
- Division of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy
| | - Daniele Amparore
- Division of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy
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19
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De Backer P, Van Praet C, Simoens J, Peraire Lores M, Creemers H, Mestdagh K, Allaeys C, Vermijs S, Piazza P, Mottaran A, Bravi CA, Paciotti M, Sarchi L, Farinha R, Puliatti S, Cisternino F, Ferraguti F, Debbaut C, De Naeyer G, Decaestecker K, Mottrie A. Improving Augmented Reality Through Deep Learning: Real-time Instrument Delineation in Robotic Renal Surgery. Eur Urol 2023:S0302-2838(23)02633-7. [PMID: 36941148 DOI: 10.1016/j.eururo.2023.02.024] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/25/2023] [Accepted: 02/13/2023] [Indexed: 03/23/2023]
Abstract
Several barriers prevent the integration and adoption of augmented reality (AR) in robotic renal surgery despite the increased availability of virtual three-dimensional (3D) models. Apart from correct model alignment and deformation, not all instruments are clearly visible in AR. Superimposition of a 3D model on top of the surgical stream, including the instruments, can result in a potentially hazardous surgical situation. We demonstrate real-time instrument detection during AR-guided robot-assisted partial nephrectomy and show the generalization of our algorithm to AR-guided robot-assisted kidney transplantation. We developed an algorithm using deep learning networks to detect all nonorganic items. This algorithm learned to extract this information for 65 927 manually labeled instruments on 15 100 frames. Our setup, which runs on a standalone laptop, was deployed in three different hospitals and used by four different surgeons. Instrument detection is a simple and feasible way to enhance the safety of AR-guided surgery. Future investigations should strive to optimize efficient video processing to minimize the 0.5-s delay currently experienced. General AR applications also need further optimization, including detection and tracking of organ deformation, for full clinical implementation.
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Affiliation(s)
- Pieter De Backer
- ORSI Academy, Melle, Belgium; IBiTech-Biommeda, Department of Electronics and Information Systems, Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium; Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium; Department of Urology, ERN eUROGEN accredited centre, Ghent University Hospital, Ghent, Belgium; Cancer Research Institute Ghent, Ghent University, Ghent, Belgium.
| | - Charles Van Praet
- Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium; Department of Urology, ERN eUROGEN accredited centre, Ghent University Hospital, Ghent, Belgium
| | | | | | - Heleen Creemers
- Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Kenzo Mestdagh
- Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Charlotte Allaeys
- Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium; Department of Urology, ERN eUROGEN accredited centre, Ghent University Hospital, Ghent, Belgium
| | - Saar Vermijs
- IBiTech-Biommeda, Department of Electronics and Information Systems, Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium; Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium; Cancer Research Institute Ghent, Ghent University, Ghent, Belgium
| | - Pietro Piazza
- ORSI Academy, Melle, Belgium; Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Angelo Mottaran
- ORSI Academy, Melle, Belgium; Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Carlo A Bravi
- ORSI Academy, Melle, Belgium; Department of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium; Division of Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Marco Paciotti
- ORSI Academy, Melle, Belgium; Department of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium; Department of Urology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy
| | - Luca Sarchi
- ORSI Academy, Melle, Belgium; Department of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium
| | - Rui Farinha
- ORSI Academy, Melle, Belgium; Department of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium
| | - Stefano Puliatti
- ORSI Academy, Melle, Belgium; Department of Urology, University of Modena and Reggio Emilia, Modena, Italy
| | - Francesco Cisternino
- Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Modena, Italy
| | - Federica Ferraguti
- Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Modena, Italy
| | - Charlotte Debbaut
- IBiTech-Biommeda, Department of Electronics and Information Systems, Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium; Cancer Research Institute Ghent, Ghent University, Ghent, Belgium
| | - Geert De Naeyer
- Department of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium
| | - Karel Decaestecker
- Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium; Department of Urology, ERN eUROGEN accredited centre, Ghent University Hospital, Ghent, Belgium; Department of Urology, AZ Maria Middelares Hospital, Ghent, Belgium
| | - Alexandre Mottrie
- ORSI Academy, Melle, Belgium; Department of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium
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20
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A survey of augmented reality methods to guide minimally invasive partial nephrectomy. World J Urol 2023; 41:335-343. [PMID: 35776173 DOI: 10.1007/s00345-022-04078-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 05/21/2022] [Indexed: 10/17/2022] Open
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.
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Checcucci E, Verri P, Amparore D, Cacciamani GE, Rivas JG, Autorino R, Mottrie A, Breda A, Porpiglia F. The future of robotic surgery in urology: from augmented reality to the advent of metaverse. Ther Adv Urol 2023; 15:17562872231151853. [PMID: 36744045 PMCID: PMC9893340 DOI: 10.1177/17562872231151853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Affiliation(s)
| | - Paolo Verri
- Division of Urology, Department of Oncology,
University of Turin, San Luigi Gonzaga Hospital, Torino, Italy,Department of Urology, Fundació Puigvert,
Autonomous University of Barcelona, Barcelona, Spain
| | - Daniele Amparore
- Division of Urology, Department of Oncology,
University of Turin, San Luigi Gonzaga Hospital, Torino, Italy
| | - Giovanni Enrico Cacciamani
- Catherine and Joseph Aresty Department of
Urology, Keck School of Medicine, USC Institute of Urology, Los Angeles, CA,
USA
| | - Juan Gomez Rivas
- Department of Urology, Hospital Clinico San
Carlos, Madrid, Spain
| | - Riccardo Autorino
- Department of Urology, Rush University Medical
Center, Chicago, IL, USA
| | - Alex Mottrie
- Department of Urology, OLV Hospital, Aalst,
Belgium,ORSI Academy, Melle, Belgium
| | - Alberto Breda
- Department of Urology, Fundació Puigvert,
Autonomous University of Barcelona, Barcelona, Spain
| | - Francesco Porpiglia
- Division of Urology, Department of Oncology,
University of Turin, San Luigi Gonzaga Hospital, Torino, Italy
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22
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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. Three-dimensional Model-assisted Minimally Invasive Partial Nephrectomy: A Systematic Review with Meta-analysis of Comparative Studies. Eur Urol Oncol 2022; 5:640-650. [PMID: 36216739 DOI: 10.1016/j.euo.2022.09.003] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Revised: 08/16/2022] [Accepted: 09/21/2022] [Indexed: 01/26/2023]
Abstract
CONTEXT Use of three-dimensional (3D) guidance for nephron-sparing surgery (NSS) has increased in popularity, especially for laparoscopic and robotic approaches. Different 3D visualization modalities have been developed as promising new tools for surgical planning and intraoperative navigation. OBJECTIVES To summarize and evaluate the impact of 3D models on minimally invasive NSS in terms of perioperative, functional, and oncological outcomes. EVIDENCE ACQUISITION A systematic literature search was conducted in December 2021 using the Medline (PubMed), Embase (Ovid), Scopus, and Web of Science databases. The protocol was registered on PROSPERO (CRD42022300948). The search strategy used the PICOS (Population, Intervention, Comparison, Outcome, Study design) criteria and article selection was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The risk of bias and the quality of the articles included were assessed. A dedicated data extraction form was used to collect the data of interest. Meta-analysis was performed using the Mantel-Haenszel method for binary outcomes, with results summarized as the odds ratio (OR), and the inverse variance method for continuous data, with results reported as the mean difference (MD). All effect estimates are reported with the 95% confidence interval (CI) and p ≤ 0.05 was considered statistically significant. All analyses were performed using R software and the meta package. EVIDENCE SYNTHESIS The initial electronic search identified 450 papers, of which 17 met the inclusion criteria and were included in the analysis. Use of 3D technology led to a significant reduction in the global ischemia rate (OR 0.22, 95% CI 0.07-0.76; p = 0.02) and facilitated more frequent enucleation (OR 2.54, 95% CI 1.36-4.74; p < 0.01) and less frequent opening of the collecting system (OR 0.36, 95% CI 0.15-0.89; p = 0.03) and was associated with less blood loss (MD 23.1 ml, 95% CI 31.8-14.4; p < 0.01). 3D guidance for NSS was associated with a significant reduction in the transfusion rate (OR 0.20, 95% CI 0.07-0.56; p < 0.01). There were no significant differences in rates of conversion to radical nephrectomy, minor and major complications, change in glomerular filtration rate, or surgical margins (all p > 0.05). CONCLUSIONS 3D guidance for NSS is associated with lower rates of detriment and surgical injury to the kidney. Specifically, a lower amount of nontumor renal parenchyma is exposed to ischemia or sacrificed during resection, and opening of the collecting system is less frequent. However, use of 3D technology does not lead to significant improvements in oncological or functional outcomes. PATIENT SUMMARY We reviewed the use of three-dimensional tools for minimally invasive surgery for partial removal of the kidney in patients with kidney cancer. The evidence suggests that these tools have benefits during surgery, but do not lead to significant improvements in cancer control or functional outcomes for patients.
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Affiliation(s)
- Federico Piramide
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy; European Association of Urology Young Academic Urologists Robotic Surgery Working Group, Arnhem, The Netherlands.
| | - Karl-Friedrich Kowalewski
- Department of Urology, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany; Association of Urology Young Academic Urologist-Urotechnology Working Party, Arnhem, The Netherlands
| | - Giovanni Cacciamani
- Association of Urology Young Academic Urologist-Urotechnology Working Party, Arnhem, The Netherlands; USC Institute of Urology, University of Southern California, Los Angeles, CA, USA
| | - Ines Rivero Belenchon
- Association of Urology Young Academic Urologist-Urotechnology Working Party, Arnhem, The Netherlands; Urology and Nephrology Department, Virgen del Rocío University Hospital, Seville, Spain
| | - Mark Taratkin
- Association of Urology Young Academic Urologist-Urotechnology Working Party, Arnhem, The Netherlands; Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia
| | - Umberto Carbonara
- European Association of Urology Young Academic Urologists Renal Cancer Working Group, Arnhem, The Netherlands; Department of Emergency and Organ Transplantation, Urology, Andrology and Kidney Transplantation Unit, University of Bari, Bari, Italy
| | - Michele Marchioni
- European Association of Urology Young Academic Urologists Renal Cancer Working Group, Arnhem, The Netherlands; Department of Urology, SS Annunziata Hospital, G. D'Annunzio University of Chieti, Chieti, Italy
| | - Ruben De Groote
- European Association of Urology Young Academic Urologists Robotic Surgery Working Group, Arnhem, The Netherlands; Department of Urology, OLV Hospital, Aalst, Belgium; ORSI Academy, Melle, Belgium
| | - Sophie Knipper
- European Association of Urology Young Academic Urologists Robotic Surgery Working Group, Arnhem, The Netherlands; Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Angela Pecoraro
- European Association of Urology Young Academic Urologists Renal Cancer Working Group, Arnhem, The Netherlands; Department of Urology, Hospital Pederzoli, Peschiera del Garda, Italy
| | - Filippo Turri
- European Association of Urology Young Academic Urologists Robotic Surgery Working Group, Arnhem, The Netherlands; Department of Urology, Nuovo Ospedale Civile S. Agostino Estense, University of Modena and Reggio Emilia, Modena, Italy
| | - Paolo Dell'Oglio
- European Association of Urology Young Academic Urologists Robotic Surgery Working Group, Arnhem, The Netherlands; Department of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Stefano Puliatti
- Association of Urology Young Academic Urologist-Urotechnology Working Party, Arnhem, The Netherlands; Department of Urology, University of Modena and Reggio Emilia, Modena, Italy
| | - Daniele Amparore
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy; European Association of Urology Young Academic Urologists Renal Cancer Working Group, Arnhem, The Netherlands
| | - Gabriele Volpi
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Riccardo Campi
- European Association of Urology Young Academic Urologists Renal Cancer Working Group, Arnhem, The Netherlands; Unit of Urological Robotic Surgery and Renal Transplantation, Careggi Hospital, University of Florence, Florence, Italy
| | - Alessandro Larcher
- European Association of Urology Young Academic Urologists Robotic Surgery Working Group, Arnhem, The Netherlands; Unit of Urology, Division of Experimental Oncology, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Alex Mottrie
- Department of Urology, OLV Hospital, Aalst, Belgium; ORSI Academy, Melle, Belgium
| | - Alberto Breda
- Department of Urology, Fundació Puigvert, Autonomous University of Barcelona, Barcelona, Spain
| | - Andrea Minervini
- Unit of Oncologic Minimally-Invasive Urology and Andrology, Careggi Hospital, Florence, Italy; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Ahmed Ghazi
- Department of Urology, University of Rochester Medical Center, Rochester, NY, USA
| | - Prokar Dasgupta
- Medical Research Council Centre for Transplantation, Guy's Hospital Campus, King's Health Partners, King's College London, London, UK
| | - Ali Gozen
- Trakya Tip Fak Hospital, Edirne, Turkey
| | | | - Cristian Fiori
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Michele Di Dio
- Department of Surgery, Division of Urology, SS Annunziata Hospital, Cosenza, Italy
| | - Juan Gomez Rivas
- Association of Urology Young Academic Urologist-Urotechnology Working Party, Arnhem, The Netherlands; Department of Urology, Hospital Clinico San Carlos, Madrid, Spain
| | - Francesco Porpiglia
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Enrico Checcucci
- Association of Urology Young Academic Urologist-Urotechnology Working Party, Arnhem, The Netherlands; Department of Surgery, FPO-IRCCS Candiolo Cancer Institute, Turin, Italy
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Checcucci E, Cacciamani GE, Amparore D, Gozen A, Seitz C, Breda A, Liatsikos E, Porpiglia F. The Metaverse in Urology: Ready for Prime Time. The ESUT, ERUS, EULIS, and ESU Perspective. EUR UROL SUPPL 2022; 46:96-98. [DOI: 10.1016/j.euros.2022.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/21/2022] [Indexed: 11/09/2022] Open
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24
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Arpaia P, De Benedetto E, De Paolis L, D’Errico G, Donato N, Duraccio L. Performance and Usability Evaluation of an Extended Reality Platform to Monitor Patient’s Health during Surgical Procedures. SENSORS 2022; 22:s22103908. [PMID: 35632317 PMCID: PMC9143436 DOI: 10.3390/s22103908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 05/14/2022] [Accepted: 05/18/2022] [Indexed: 02/01/2023]
Abstract
An extended-reality (XR) platform for real-time monitoring of patients’ health during surgical procedures is proposed. The proposed system provides real-time access to a comprehensive set of patients’ information, which are made promptly available to the surgical team in the operating room (OR). In particular, the XR platform supports the medical staff by automatically acquiring the patient’s vitals from the operating room instrumentation and displaying them in real-time directly on an XR headset. Furthermore, information regarding the patient clinical record is also shown upon request. Finally, the XR-based monitoring platform also allows displaying in XR the video stream coming directly from the endoscope. The innovative aspect of the proposed XR-based monitoring platform lies in the comprehensiveness of the available information, in its modularity and flexibility (in terms of adaption to different sources of data), ease of use, and most importantly, in a reliable communication, which are critical requirements for the healthcare field. To validate the proposed system, experimental tests were conducted using instrumentation typically available in the operating room (i.e., a respiratory ventilator, a patient monitor for intensive care, and an endoscope). The overall results showed (i) an accuracy of the data communication greater than 99 %, along with (ii) an average time response below ms, and (iii) satisfying feedback from the SUS questionnaires filled out by the physicians after intensive use.
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Affiliation(s)
- Pasquale Arpaia
- Interdepartmental Research Center in Health Management and Innovation in Healthcare (CIRMIS), University of Naples Federico II, 80138 Naples, Italy;
- Augmented Reality for Health Monitoring Laboratory (ARHeMLAB), Department of Information Technology and Electrical Engineering, University of Naples Federico II, 80138 Naples, Italy
- Correspondence:
| | - Egidio De Benedetto
- Interdepartmental Research Center in Health Management and Innovation in Healthcare (CIRMIS), University of Naples Federico II, 80138 Naples, Italy;
- Augmented Reality for Health Monitoring Laboratory (ARHeMLAB), Department of Information Technology and Electrical Engineering, University of Naples Federico II, 80138 Naples, Italy
| | - Lucio De Paolis
- Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy;
| | - Giovanni D’Errico
- Department of Applied Science and Technology, Polytechnic University of Turin, 10129 Turin, Italy;
| | - Nicola Donato
- Department of Engineering, University of Messina, 98122 Messina, Italy;
| | - Luigi Duraccio
- Department of Electronics and Telecommunications, Polytechnic University of Turin, 10129 Turin, Italy;
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25
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Fiori C, Porpiglia F. Renal cancer: From current evidences to future perspectives. Asian J Urol 2022; 9:199-200. [PMID: 36035348 PMCID: PMC9399550 DOI: 10.1016/j.ajur.2022.05.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 05/18/2022] [Indexed: 11/29/2022] Open
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