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Checcucci E, Oing C, Amparore D, Porpiglia F, Rescigno P. Digital Twins in Urological Oncology: Precise Treatment Planning via Complex Modeling. Eur Urol Oncol 2024:S2588-9311(24)00233-5. [PMID: 39443222 DOI: 10.1016/j.euo.2024.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Accepted: 10/09/2024] [Indexed: 10/25/2024]
Abstract
Digital twins can revolutionize personalized medicine by providing virtual simulations for optimized treatment planning and patient care. Digital twins can enhance precision in oncology and surgery, although challenges regarding data and model complexity necessitate ongoing multidisciplinary collaboration for effective implementation.
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Affiliation(s)
- Enrico Checcucci
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Italy.
| | - Christoph Oing
- Translational and Clinical Research Institute, Centre for Cancer, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - 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
| | - Pasquale Rescigno
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Italy; Translational and Clinical Research Institute, Centre for Cancer, Newcastle University, Newcastle upon Tyne, United Kingdom
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Aguilera Saiz L, Heerink WJ, Groen HC, Hiep MAJ, van der Poel HG, Wit EMK, Nieuwenhuijzen JA, Roeleveld TA, Vis AN, Donswijk ML, van Leeuwen PJ, Ruers TJM. Feasibility of Image-guided Navigation with Electromagnetic Tracking During Robot-assisted Sentinel Node Biopsy: A Prospective Study. Eur Urol 2024:S0302-2838(24)02510-7. [PMID: 39174413 DOI: 10.1016/j.eururo.2024.07.022] [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: 04/25/2024] [Revised: 07/05/2024] [Accepted: 07/21/2024] [Indexed: 08/24/2024]
Abstract
BACKGROUND AND OBJECTIVE Image-guided surgical navigation (IGSN) can enhance surgical precision and safety. The expansion of minimally invasive surgery has increased the demand for integration of these navigation systems into robot-assisted surgery. Our objective was to evaluate the integration of electromagnetic tracking with IGSN in robot-assisted sentinel lymph node biopsy (SLNB). METHODS We conducted a prospective feasibility study to test the use of IGSN in SLNB. In total, 25 patients scheduled for SLNB at The Netherlands Cancer Institute were included (March 2022 to March 2023). SLNB using IGSN was performed using a standardised technique with a da Vinci robot (Intuitive Surgical, Sunnyvale, CA, USA) in four-arm configuration. Feasibility was determined as the percentage of sentinel nodes (SNs) successfully identified via IGSN. Successful SN resection was defined as SNs correctly localised via navigation and validated ex vivo with a gamma probe. Surgeon feedback on the robot-assisted IGSN workflow was evaluated using the System Usability Scale (SUS). KEY FINDINGS AND LIMITATIONS In accordance with the protocol, the first five patients were used for workflow optimisation, and the subsequent 20 patients were included in the analysis. IGSN led to successful identification of 91% (50/55) of the SNs. There were no complications associated with navigation. The surgeon feedback (SUS) was 60.9, with lowest scores reported for the user interface and workflow integration. CONCLUSIONS IGSN during robot-assisted surgery was feasible and safe. The technique allowed identification and removal of predefined small pelvic lymph nodes. PATIENT SUMMARY We carried out a study on the feasibility of imaging-guided navigation in robot-assisted prostate surgery. Our results show that this technique is feasible, safe, and effective.
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Affiliation(s)
- Laura Aguilera Saiz
- Department of Surgical Oncology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
| | - Wouter J Heerink
- Department of Surgical Oncology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Harald C Groen
- Department of Surgical Oncology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Marijn A J Hiep
- Department of Surgical Oncology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Henk G van der Poel
- Department of Urology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands; Prostate Cancer Network Netherlands, Amsterdam, The Netherlands; Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Esther M K Wit
- Department of Urology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands; Prostate Cancer Network Netherlands, Amsterdam, The Netherlands
| | - Jakko A Nieuwenhuijzen
- Department of Urology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands; Prostate Cancer Network Netherlands, Amsterdam, The Netherlands; Department of Urology, Amsterdam University Medical Center, VU University, Amsterdam, The Netherlands
| | - Ton A Roeleveld
- Prostate Cancer Network Netherlands, Amsterdam, The Netherlands; Department of Urology, Amsterdam University Medical Center, VU University, Amsterdam, The Netherlands
| | - André N Vis
- Prostate Cancer Network Netherlands, Amsterdam, The Netherlands; Department of Urology, Amsterdam University Medical Center, VU University, Amsterdam, The Netherlands
| | - Maarten L Donswijk
- Department of Nuclear Medicine, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Pim J van Leeuwen
- Department of Urology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands; Prostate Cancer Network Netherlands, Amsterdam, The Netherlands
| | - Theo J M Ruers
- Department of Surgical Oncology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands; Nanobiophysics Group, University of Twente, Enschede, The Netherlands
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Checcucci E, Piana A, Volpi G, Quarà A, De Cillis S, Piramide F, Burgio M, Meziere J, Cisero E, Colombo M, Bignante G, Sica M, Granato S, Verri P, Gatti C, Alessio P, Di Dio M, Alba S, Fiori C, Amparore D, Porpiglia F. Visual extended reality tools in image-guided surgery in urology: a systematic review. Eur J Nucl Med Mol Imaging 2024; 51:3109-3134. [PMID: 38589511 DOI: 10.1007/s00259-024-06699-6] [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: 09/29/2023] [Accepted: 03/19/2024] [Indexed: 04/10/2024]
Abstract
PURPOSE The aim of this systematic review is to assess the clinical implications of employing various Extended Reality (XR) tools for image guidance in urological surgery. METHODS In June 2023, a systematic electronic literature search was conducted using the Medline database (via PubMed), Embase (via Ovid), Scopus, and Web of Science. The search strategy was designed based on the PICO (Patients, Intervention, Comparison, Outcome) criteria. Study protocol was registered on PROSPERO (registry number CRD42023449025). We incorporated retrospective and prospective comparative studies, along with single-arm studies, which provided information on the use of XR, Mixed Reality (MR), Augmented Reality (AR), and Virtual Reality (VR) in urological surgical procedures. Studies that were not written in English, non-original investigations, and those involving experimental research on animals or cadavers were excluded from our analysis. The quality assessment of comparative and cohort studies was conducted utilizing the Newcastle-Ottawa scale, whilst for randomized controlled trials (RCTs), the Jadad scale was adopted. The level of evidence for each study was determined based on the guidelines provided by the Oxford Centre for Evidence-Based Medicine. RESULTS The initial electronic search yielded 1,803 papers after removing duplicates. Among these, 58 publications underwent a comprehensive review, leading to the inclusion of 40 studies that met the specified criteria for analysis. 11, 20 and 9 studies tested XR on prostate cancer, kidney cancer and miscellaneous, including bladder cancer and lithiasis surgeries, respectively. Focusing on the different technologies 20, 15 and 5 explored the potential of VR, AR and MR. The majority of the included studies (i.e., 22) were prospective non-randomized, whilst 7 and 11 were RCT and retrospective studies respectively. The included studies that revealed how these new tools can be useful both in preoperative and intraoperative setting for a tailored surgical approach. CONCLUSIONS AR, VR and MR techniques have emerged as highly effective new tools for image-guided surgery, especially for urologic oncology. Nevertheless, the complete clinical advantages of these innovations are still in the process of evaluation.
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Affiliation(s)
- Enrico Checcucci
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Strada Provinciale 142, km 3,95, Candiolo, Turin, 10060, Italy.
| | - Alberto Piana
- Department of Urology, Romolo Hospital, Rocca di Neto, Italy
| | - Gabriele Volpi
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Strada Provinciale 142, km 3,95, Candiolo, Turin, 10060, Italy
| | - Alberto Quarà
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Sabrina De Cillis
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Federico Piramide
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Mariano Burgio
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Juliette Meziere
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Edoardo Cisero
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Marco Colombo
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Gabriele Bignante
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Michele Sica
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Stefano Granato
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Paolo Verri
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Cecilia Gatti
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Strada Provinciale 142, km 3,95, Candiolo, Turin, 10060, Italy
| | - Paolo Alessio
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Strada Provinciale 142, km 3,95, Candiolo, Turin, 10060, Italy
| | - Michele Di Dio
- Dept. of Surgery, Division of Urology, SS Annunziata Hospital, Cosenza, Italy
| | - Stefano Alba
- Department of Urology, Romolo Hospital, Rocca di Neto, Italy
| | - Cristian Fiori
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Daniele Amparore
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
| | - Francesco Porpiglia
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Turin, Italy
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Lanfranchi G, Costanzo S, Selvaggio GGO, Gallotta C, Milani P, Rizzetto F, Musitelli A, Vertemati M, Santaniello T, Campari A, Paraboschi I, Camporesi A, Marinaro M, Calcaterra V, Pierucci UM, Pelizzo G. Virtual Reality Head-Mounted Display (HMD) and Preoperative Patient-Specific Simulation: Impact on Decision-Making in Pediatric Urology: Preliminary Data. Diagnostics (Basel) 2024; 14:1647. [PMID: 39125523 PMCID: PMC11311633 DOI: 10.3390/diagnostics14151647] [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: 06/21/2024] [Revised: 07/19/2024] [Accepted: 07/29/2024] [Indexed: 08/12/2024] Open
Abstract
AIM OF THE STUDY To assess how virtual reality (VR) patient-specific simulations can support decision-making processes and improve care in pediatric urology, ultimately improving patient outcomes. PATIENTS AND METHODS Children diagnosed with urological conditions necessitating complex procedures were retrospectively reviewed and enrolled in the study. Patient-specific VR simulations were developed with medical imaging specialists and VR technology experts. Routine CT images were utilized to create a VR environment using advanced software platforms. The accuracy and fidelity of the VR simulations was validated through a multi-step process. This involved comparing the virtual anatomical models to the original medical imaging data and conducting feedback sessions with pediatric urology experts to assess VR simulations' realism and clinical relevance. RESULTS A total of six pediatric patients were reviewed. The median age of the participants was 5.5 years (IQR: 3.5-8.5 years), with an equal distribution of males and females across both groups. A minimally invasive laparoscopic approach was performed for adrenal lesions (n = 3), Wilms' tumor (n = 1), bilateral nephroblastomatosis (n = 1), and abdominal trauma in complex vascular and renal malformation (ptotic and hypoplastic kidney) (n = 1). Key benefits included enhanced visualization of the segmental arteries and the deep vascularization of the kidney and adrenal glands in all cases. The high depth perception and precision in the orientation of the arteries and veins to the parenchyma changed the intraoperative decision-making process in five patients. Preoperative VR patient-specific simulation did not offer accuracy in studying the pelvic and calyceal anatomy. CONCLUSIONS VR patient-specific simulations represent an empowering tool in pediatric urology. By leveraging the immersive capabilities of VR technology, preoperative planning and intraoperative navigation can greatly impact surgical decision-making. As we continue to advance in medical simulation, VR holds promise in educational programs to include even surgical treatment of more complex urogenital malformations.
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Affiliation(s)
- Giulia Lanfranchi
- Department of Pediatric Surgery, Children’s Hospital “Vittore Buzzi”, 20154 Milan, Italy; (G.L.); (S.C.); (G.G.O.S.); (A.M.); (M.M.); (U.M.P.)
| | - Sara Costanzo
- Department of Pediatric Surgery, Children’s Hospital “Vittore Buzzi”, 20154 Milan, Italy; (G.L.); (S.C.); (G.G.O.S.); (A.M.); (M.M.); (U.M.P.)
| | - Giorgio Giuseppe Orlando Selvaggio
- Department of Pediatric Surgery, Children’s Hospital “Vittore Buzzi”, 20154 Milan, Italy; (G.L.); (S.C.); (G.G.O.S.); (A.M.); (M.M.); (U.M.P.)
| | - Cristina Gallotta
- Department of Biomedical and Clinical Sciences “L Sacco”, University of Milano, 20157 Milan, Italy; (C.G.); (M.V.); (I.P.)
| | - Paolo Milani
- CIMaINa (Interdisciplinary Centre for Nanostructured Materials and Interfaces), University of Milano, 20133 Milan, Italy; (P.M.); (T.S.)
- Department of Physics “Aldo Pontremoli”, University of Milano, 20133 Milan, Italy
| | - Francesco Rizzetto
- Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy;
- Postgraduate School of Diagnostic and Interventional Radiology, University of Milano, 20122 Milan, Italy
| | - Alessia Musitelli
- Department of Pediatric Surgery, Children’s Hospital “Vittore Buzzi”, 20154 Milan, Italy; (G.L.); (S.C.); (G.G.O.S.); (A.M.); (M.M.); (U.M.P.)
| | - Maurizio Vertemati
- Department of Biomedical and Clinical Sciences “L Sacco”, University of Milano, 20157 Milan, Italy; (C.G.); (M.V.); (I.P.)
- CIMaINa (Interdisciplinary Centre for Nanostructured Materials and Interfaces), University of Milano, 20133 Milan, Italy; (P.M.); (T.S.)
| | - Tommaso Santaniello
- CIMaINa (Interdisciplinary Centre for Nanostructured Materials and Interfaces), University of Milano, 20133 Milan, Italy; (P.M.); (T.S.)
- Department of Physics “Aldo Pontremoli”, University of Milano, 20133 Milan, Italy
| | - Alessandro Campari
- Pediatric Radiology and Neuroradiology Unit, “Vittore Buzzi” Children’s Hospital, 20154 Milan, Italy;
| | - Irene Paraboschi
- Department of Biomedical and Clinical Sciences “L Sacco”, University of Milano, 20157 Milan, Italy; (C.G.); (M.V.); (I.P.)
| | - Anna Camporesi
- Pediatric Anesthesia and Intensive Care Unit, “Vittore Buzzi“ Children’s Hospital, 20154 Milan, Italy;
| | - Michela Marinaro
- Department of Pediatric Surgery, Children’s Hospital “Vittore Buzzi”, 20154 Milan, Italy; (G.L.); (S.C.); (G.G.O.S.); (A.M.); (M.M.); (U.M.P.)
| | - Valeria Calcaterra
- Pediatrics and Adolescentology Unit, Department of Internal Medicine, University of Pavia, 27100 Pavia, Italy;
- Pediatric Department, “Vittore Buzzi” Children’s Hospital, 20154 Milan, Italy
| | - Ugo Maria Pierucci
- Department of Pediatric Surgery, Children’s Hospital “Vittore Buzzi”, 20154 Milan, Italy; (G.L.); (S.C.); (G.G.O.S.); (A.M.); (M.M.); (U.M.P.)
| | - Gloria Pelizzo
- Department of Pediatric Surgery, Children’s Hospital “Vittore Buzzi”, 20154 Milan, Italy; (G.L.); (S.C.); (G.G.O.S.); (A.M.); (M.M.); (U.M.P.)
- Department of Biomedical and Clinical Sciences “L Sacco”, University of Milano, 20157 Milan, Italy; (C.G.); (M.V.); (I.P.)
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Checcucci E, Amparore D, Volpi G, De Cillis S, Piramide F, Verri P, Piana A, Sica M, Gatti C, Alessio P, Quarà A, Burgio M, Colombo M, Busacca G, Mottrie A, Cherullo E, Breda A, Antonelli A, Bollens R, Minervini A, Porter J, Schiavina R, Autorino R, Tewari A, Di Dio M, Fiori C, Porpiglia F. Metaverse Surgical Planning with Three-dimensional Virtual Models for Minimally Invasive Partial Nephrectomy. Eur Urol 2024; 85:320-325. [PMID: 37673751 DOI: 10.1016/j.eururo.2023.07.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 06/30/2023] [Accepted: 07/19/2023] [Indexed: 09/08/2023]
Abstract
The recent integration of new virtual visualization modalities with artificial intelligence and high-speed internet connection has opened the door to the advent of the metaverse in medicine. In this totally virtual environment, three-dimensional virtual models (3DVMs) of the patient's anatomy can be visualized and discussed via digital avatars. Here we present for the first time a metaverse preoperative clinical case discussion before minimally invasive partial nephrectomy. The surgeons' digital avatars met in a virtual room and participated in a virtual consultation on the surgical strategy and clamping approach before the procedure. Robotic or laparoscopic procedures are then carried out according to the simulated surgical strategy. We demonstrate how this immersive virtual reality experience overcomes the barriers of distance and how the quality of surgical planning is enriched by a great sense of "being there", even if virtually. Further investigation will improve the quality of interaction with the models and among the avatars.
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Affiliation(s)
- Enrico Checcucci
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
| | - Daniele Amparore
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy
| | - Gabriele Volpi
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Sabrina De Cillis
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy
| | - Federico Piramide
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy; Department of Urology, OLV Hospital, Aalst, Belgium; ORSI Academy, Melle, Belgium
| | - Paolo Verri
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy; Department of Urology, Fundació Puigvert, Autonomous University of Barcelona, Barcelona, Spain
| | - Alberto Piana
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy; Romolo Hospital, Rocca di Neto, Italy
| | - Michele Sica
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy
| | - Cecilia Gatti
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy; Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy
| | - Paolo Alessio
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Alberto Quarà
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy
| | - Mariano Burgio
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy
| | - Marco Colombo
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy
| | - Giovanni Busacca
- Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy
| | - Alex Mottrie
- Department of Urology, OLV Hospital, Aalst, Belgium; ORSI Academy, Melle, Belgium
| | - Edward Cherullo
- Department of Urology, Rush University Medical Center, Chicago, IL, USA
| | - Alberto Breda
- Department of Urology, Fundació Puigvert, Autonomous University of Barcelona, Barcelona, Spain
| | - Alessandro Antonelli
- Urology Unit AUOI Verona, Department of Surgery, Dentistry, Pediatrics and Gynecology, University of Verona, Verona, Italy
| | - Renaud Bollens
- Urology Department, Centre Hospitalier de Wallonie Picarde, Tournai, Belgium
| | - Andrea Minervini
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Unit of Urological Oncologic Minimally-Invasive Robotic Surgery and Andrology, University of Florence, Careggi Hospital, Florence, Italy
| | - James Porter
- Department of Urology, Swedish Medical Group, Seattle, WA, USA
| | - Riccardo Schiavina
- Division of Urology, IRCCS Azienda Ospedaliero Universitaria di Bologna, Bologna, Italy
| | - Riccardo Autorino
- Department of Urology, Rush University Medical Center, Chicago, IL, USA
| | - Ashutosh Tewari
- Department of Urology, Icahn School of Medicine, Mount Sinai Hospital, New York, NY, USA
| | - Michele Di Dio
- Division of Urology, Department of Surgery, SS Annunziata Hospital, Cosenza, Italy
| | - Cristian Fiori
- 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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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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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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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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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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Simplified PADUA REnal (SPARE) Nephrometry System can Describe the Surgical Difficulty of Renal Masses With High Accuracy Even Without 3D Renal Models. Urology 2022; 170:132-138. [DOI: 10.1016/j.urology.2022.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 09/18/2022] [Accepted: 09/26/2022] [Indexed: 12/05/2022]
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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: 30] [Impact Index Per Article: 15.0] [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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Stone NN, Wilson MP, Griffith SH, Immerzeel J, Debruyne F, Gorin MA, Brisbane W, Orio PF, Kim LS, Stone JJ. Remote surgical education using synthetic models combined with an augmented reality headset. Surg Open Sci 2022; 10:27-33. [PMID: 35866070 PMCID: PMC9294657 DOI: 10.1016/j.sopen.2022.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 06/15/2022] [Accepted: 06/16/2022] [Indexed: 12/05/2022] Open
Abstract
Objective The objective was to investigate the use of an augmented reality headset to remotely train clinicians on medical devices using anatomic models. Design Disease-specific phantoms were developed to train physicians in mpMRI-guided fusion prostate biopsy, brachytherapy, and rectal spacer insertion. Training was remotely demonstrated using 1-way virtual video conferencing format. Participants responded to an educational content survey. A heads-up display with software and augmented reality was used for remote 2-way training with the proctor and student using on their own phantoms. Setting The virtual video meeting took place during a prostate cancer conference in 2020, while the augmented reality training occurred in 2021. The proctor and student wore a heads-up display containing a projector and webcam where the ultrasound image was displayed onto a see-through optic along with the physician's hands. The heads-up display allowed the proctor to teach by line-of-sight while the student watched and repeated the steps. Participants Faculty with expertise with the medical devices used in these procedures provided training to urologists unfamiliar with these techniques. Results Participants responded that the 1-way training on the phantoms was realistic and mimicked human tissue. A total of 70.9% requested more training or training on the phantoms. The remote training platform was successfully beta tested at the 2 locations in transperineal prostate biopsy and rectal spacer insertion. Conclusion Remote training using augmented reality eliminates the need for travel. For training programs and workshops, this technology may mitigate the risk of infectious exposures, reduce training cost, and increase proctor availability, allowing training from their own institution or clinic.This investigation qualifies for the Accreditation Council for Graduate Medical Education competency in medical knowledge.
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Affiliation(s)
- Nelson N. Stone
- Department of Urology, The Icahn School of Medicine at Mount Sinai, New York, NY
| | | | | | | | | | - Michael A. Gorin
- Urology Associates and UPMC Western Maryland, Cumberland, MD, USA
- Department of Urology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Wayne Brisbane
- Department of Urology, University of Florida Health, Gainesville, FL
| | - Peter F. Orio
- Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, MA
| | | | - Jonathan J. Stone
- Department of Neurosurgery, University of Rochester Medical Center, Rochester, NY
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Su T, Zhang Z, Zhao M, Hao G, Tian Y, Jin L. Percutaneous Microcoil Localization of a Small, Totally Endophytic Renal Mass for Nephron-Sparing Surgery: A Case Report and Literature Review. Front Oncol 2022; 12:916787. [PMID: 35903709 PMCID: PMC9316585 DOI: 10.3389/fonc.2022.916787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 06/01/2022] [Indexed: 11/25/2022] Open
Abstract
Small, totally endophytic renal masses present a technical challenge for surgical extirpation due to poor identifiability during surgery. The method for the precise localization of totally endophytic tumours before nephron-sparing surgery could be optimized. An asymptomatic 70-year-old male presented with a right-sided, 16-mm, totally endophytic renal mass on computed tomography (CT). CT-guided percutaneous microcoil localization was carried out prior to laparoscopy to provide a direction for partial nephrectomy. During the 25 minutes of the localization procedure, the patient underwent five local CT scans, and his cumulative effective radiation dosage was 5.1 mSv. The span between localization and the start of the operation was 15 hours. The laparoscopic operation time was 105 minutes, and the ischaemia time was 25 minutes. The postoperative recovery was smooth, and no perioperative complications occurred. Pathology showed the mass to be renal clear cell carcinoma, WHO/ISUP grade 2, with a 2-mm, clear surgical margin. The patient remained free of recurrence on follow-up for eleven months. To our knowledge, this application of microcoil implantation prior to laparoscopic partial nephrectomy towards an intrarenal mass could be an early reported attempt for the localized method applied in renal surgery. The percutaneous microcoil localization of endophytic renal tumours is potentially safe and effective prior to laparoscopic partial nephrectomy.
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15
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Checcucci E, Amparore D, Volpi G, Porpiglia F. A snapshot into the future of image-guided surgery for renal cancer. Asian J Urol 2022; 9:201-203. [PMID: 36035350 PMCID: PMC9399554 DOI: 10.1016/j.ajur.2022.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 02/07/2022] [Indexed: 11/10/2022] Open
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