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Egen L, Demmel GS, Grilli M, Studier-Fischer A, Nickel F, Haney CM, Mühlbauer J, Hartung FO, Menold HS, Piazza P, Rivas JG, Checcucci E, Puliatti S, Belenchon IR, Taratkin M, Rodler S, Cacciamani G, Michel MS, Kowalewski KF. Biophotonics-Intraoperative Guidance During Partial Nephrectomy: A Systematic Review and Meta-analysis. Eur Urol Focus 2024; 10:248-258. [PMID: 38278713 DOI: 10.1016/j.euf.2024.01.005] [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: 11/02/2023] [Revised: 12/11/2023] [Accepted: 01/15/2024] [Indexed: 01/28/2024]
Abstract
CONTEXT Partial nephrectomy (PN) with intraoperative guidance by biophotonics has the potential to improve surgical outcomes due to higher precision. However, its value remains unclear since high-level evidence is lacking. OBJECTIVE To provide a comprehensive analysis of biophotonic techniques used for intraoperative real-time assistance during PN. EVIDENCE ACQUISITION We performed a comprehensive database search based on the PICO criteria, including studies published before October 2022. Two independent reviewers screened the titles and abstracts followed by full-text screening of eligible studies. For a quantitative analysis, a meta-analysis was conducted. EVIDENCE SYNTHESIS In total, 35 studies were identified for the qualitative analysis, including 27 studies on near-infrared fluorescence (NIRF) imaging using indocyanine green, four studies on hyperspectral imaging, two studies on folate-targeted molecular imaging, and one study each on optical coherence tomography and 5-aminolevulinic acid. The meta-analysis investigated seven studies on selective arterial clamping using NIRF. There was a significantly shorter warm ischemia time in the NIRF-PN group (mean difference [MD]: -2.9; 95% confidence interval [CI]: -5.6, -0.1; p = 0.04). No differences were noted regarding transfusions (odds ratio [OR]: 0.5; 95% CI: 0.2, 1.7; p = 0.27), positive surgical margins (OR: 0.7; 95% CI: 0.2, 2.0; p = 0.46), or major complications (OR: 0.4; 95% CI: 0.1, 1.2; p = 0.08). In the NIRF-PN group, functional results were favorable at short-term follow-up (MD of glomerular filtration rate decline: 7.6; 95% CI: 4.6, 10.5; p < 0.01), but leveled off at long-term follow-up (MD: 7.0; 95% CI: -2.8, 16.9; p = 0.16). Remarkably, these findings were not confirmed by the included randomized controlled trial. CONCLUSIONS Biophotonics comprises a heterogeneous group of imaging modalities that serve intraoperative decision-making and guidance. Implementation into clinical practice and cost effectiveness are the limitations that should be addressed by future research. PATIENT SUMMARY We reviewed the application of biophotonics during partial removal of the kidney in patients with kidney cancer. Our results suggest that these techniques support the surgeon in successfully performing the challenging steps of the procedure.
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Affiliation(s)
- Luisa Egen
- Department of Urology and Urosurgery, University Medical Center Mannheim, Medical Faculty Mannheim at Heidelberg University, Mannheim, Germany.
| | - Greta S Demmel
- Department of Urology and Urosurgery, University Medical Center Mannheim, Medical Faculty Mannheim at Heidelberg University, Mannheim, Germany
| | - Maurizio Grilli
- Library of the Medical Faculty Mannheim at Heidelberg University, Mannheim, Germany
| | - Alexander Studier-Fischer
- Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Felix Nickel
- Department of General, Visceral, and Thoracic Surgery, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Caelan M Haney
- Department of Urology, University Hospital Leipzig, Leipzig, Germany
| | - Julia Mühlbauer
- Department of Urology and Urosurgery, University Medical Center Mannheim, Medical Faculty Mannheim at Heidelberg University, Mannheim, Germany
| | - Friedrich O Hartung
- Department of Urology and Urosurgery, University Medical Center Mannheim, Medical Faculty Mannheim at Heidelberg University, Mannheim, Germany
| | - Hanna S Menold
- Department of Urology and Urosurgery, University Medical Center Mannheim, Medical Faculty Mannheim at Heidelberg University, Mannheim, Germany
| | - Pietro Piazza
- Association of Urology Young Academic Urologist-Urotechnology Working Party, Arnhem, The Netherlands; Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, 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
| | - Enrico Checcucci
- Association of Urology Young Academic Urologist-Urotechnology Working Party, Arnhem, The Netherlands; Department of Surgery, FPO-IRCCS Candiolo Cancer Institute, Turin, 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
| | - 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
| | - Severin Rodler
- Association of Urology Young Academic Urologist-Urotechnology Working Party, Arnhem, The Netherlands; Department of Urology, University Hospital LMU Munich, Munich, Germany
| | - 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
| | - Maurice S Michel
- Department of Urology and Urosurgery, University Medical Center Mannheim, Medical Faculty Mannheim at Heidelberg University, Mannheim, Germany
| | - Karl-Friedrich Kowalewski
- Department of Urology and Urosurgery, University Medical Center Mannheim, Medical Faculty Mannheim at Heidelberg University, Mannheim, Germany; Association of Urology Young Academic Urologist-Urotechnology Working Party, Arnhem, The Netherlands
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Mehrazin R, Razdan S. Referring to the article published on p. 431-439 of this issue: Utility of three-dimensional virtual reconstruction for robotic-assisted partial nephrectomy using the IRIS™. Asian J Urol 2023; 10:388-389. [PMID: 38024430 PMCID: PMC10659960 DOI: 10.1016/j.ajur.2023.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 03/15/2023] [Indexed: 04/05/2023] Open
Affiliation(s)
- Reza Mehrazin
- Department of Urology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA
| | - Shirin Razdan
- Department of Urology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA
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Pandolfo SD, Cerrato C, Wu Z, Franco A, Del Giudice F, Sciarra A, Verze P, Lucarelli G, Imbimbo C, Perdonà S, Cherullo EE, Porpiglia F, Derweesh IH, Autorino R. A systematic review of robot-assisted partial nephrectomy outcomes for advanced indications: Large tumors (cT2-T3), solitary kidney, completely endophytic, hilar, recurrent, and multiple renal tumors. Asian J Urol 2023; 10:390-406. [PMID: 38024426 PMCID: PMC10659988 DOI: 10.1016/j.ajur.2023.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 04/18/2023] [Accepted: 06/19/2023] [Indexed: 12/01/2023] Open
Abstract
Objective Robot-assisted partial nephrectomy (RAPN) has become widely used for treatment of renal cell carcinoma and it is expanding in the field of complex renal masses. The aim of this systematic review was to analyze outcomes of RAPN for completely endophytic renal masses, large tumors (cT2-T3), renal cell carcinoma in solitary kidney, recurrent tumors, completely endophytic and hilar masses, and simultaneous and multiple tumors. Methods A comprehensive search in the PubMed, Scopus, Web of Science, and Cochrane Central Register of Controlled Trials databases was performed in December 2022 for English language papers. The primary endpoint was to evaluate the role of RAPN in the setting of each category of complex renal masses considered. The secondary endpoint was to evaluate the surgical and functional outcomes. Results After screening 1250 records, 43 full-text manuscripts were selected, comprising over 8500 patients. Twelve and thirteen studies reported data for endophytic and hilar renal masses, respectively. Five and three studies reported outcomes for cT2-T3 and solitary kidney patients, respectively. Four studies focused on redo-RAPN for recurrent tumors. Two studies investigated simultaneous bilateral renal masses and five reports focused on multiple tumor excision in ipsilateral kidney. Conclusion Over the past decade, evidence supporting the use of RAPN for the most challenging nephron-sparing surgery indications has continuously grown. Although limitations remain including study design and lack of detailed long-term functional and oncological outcomes, the adoption of RAPN for the included advanced indications is associated with favorable surgical outcomes with good preservation of renal function without compromising the oncological result. Certainly, a higher likelihood of complication might be expected when facing extremely challenging cases. However, none of these indications should be considered per se an exclusion criterion for performing RAPN. Ultimately, a risk-adapted approach should be employed.
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Affiliation(s)
- Savio Domenico Pandolfo
- Department of Urology, Rush University Medical Center, Chicago, IL, USA
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, “Federico II” University, Naples, Italy
| | - Clara Cerrato
- Department of Urology, University of Verona, Verona, Italy
- Department of Urology, University of California San Diego, La Jolla, CA, USA
| | - Zhenjie Wu
- Department of Urology, Changhai Hospital, Naval Medical University, Shanghai, China
- European Association of Urology (EAU) Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, the Netherlands
| | - Antonio Franco
- Department of Urology, Rush University Medical Center, Chicago, IL, USA
- Department of Urology, Sant’ Andrea Hospital, La Sapienza University, Rome, Italy
| | - Francesco Del Giudice
- Department of Maternal-Infant and Urologic Sciences, La Sapienza University, Policlinico Umberto I Hospital, Rome, Italy
| | - Alessandro Sciarra
- Department of Maternal-Infant and Urologic Sciences, La Sapienza University, Policlinico Umberto I Hospital, Rome, Italy
| | - Paolo Verze
- Department of Medicine and Surgery, Scuola Medica Salernitana, University of Salerno, Fisciano, Italy
| | - Giuseppe Lucarelli
- Department of Emergency and Organ Transplantation-Urology, Andrology and Kidney Transplantation Unit, University of Bari, Bari, Italy
| | - Ciro Imbimbo
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, “Federico II” University, Naples, Italy
| | - Sisto Perdonà
- Department Uro-Gynecology, IRCCS G. Pascale Foundation, Naples, Italy
| | | | - Francesco Porpiglia
- Department of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Italy
| | - Ithaar H. Derweesh
- Department of Urology, University of California San Diego, La Jolla, CA, USA
| | - Riccardo Autorino
- Department of Urology, Rush University Medical Center, Chicago, IL, USA
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4
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Autorino R. Robotic surgery in urology: Recent advances. Asian J Urol 2023; 10:385-387. [PMID: 38024432 PMCID: PMC10659975 DOI: 10.1016/j.ajur.2023.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 08/22/2023] [Indexed: 12/01/2023] Open
Affiliation(s)
- Riccardo Autorino
- Department of Urology, Rush University Medical Center, Chicago, IL, USA
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5
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Rodriguez Peñaranda N, Eissa A, Ferretti S, Bianchi G, Di Bari S, Farinha R, Piazza P, Checcucci E, Belenchón IR, Veccia A, Gomez Rivas J, Taratkin M, Kowalewski KF, Rodler S, De Backer P, Cacciamani GE, De Groote R, Gallagher AG, Mottrie A, Micali S, Puliatti S. Artificial Intelligence in Surgical Training for Kidney Cancer: A Systematic Review of the Literature. Diagnostics (Basel) 2023; 13:3070. [PMID: 37835812 PMCID: PMC10572445 DOI: 10.3390/diagnostics13193070] [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: 08/22/2023] [Revised: 09/17/2023] [Accepted: 09/24/2023] [Indexed: 10/15/2023] Open
Abstract
The prevalence of renal cell carcinoma (RCC) is increasing due to advanced imaging techniques. Surgical resection is the standard treatment, involving complex radical and partial nephrectomy procedures that demand extensive training and planning. Furthermore, artificial intelligence (AI) can potentially aid the training process in the field of kidney cancer. This review explores how artificial intelligence (AI) can create a framework for kidney cancer surgery to address training difficulties. Following PRISMA 2020 criteria, an exhaustive search of PubMed and SCOPUS databases was conducted without any filters or restrictions. Inclusion criteria encompassed original English articles focusing on AI's role in kidney cancer surgical training. On the other hand, all non-original articles and articles published in any language other than English were excluded. Two independent reviewers assessed the articles, with a third party settling any disagreement. Study specifics, AI tools, methodologies, endpoints, and outcomes were extracted by the same authors. The Oxford Center for Evidence-Based Medicine's evidence levels were employed to assess the studies. Out of 468 identified records, 14 eligible studies were selected. Potential AI applications in kidney cancer surgical training include analyzing surgical workflow, annotating instruments, identifying tissues, and 3D reconstruction. AI is capable of appraising surgical skills, including the identification of procedural steps and instrument tracking. While AI and augmented reality (AR) enhance training, challenges persist in real-time tracking and registration. The utilization of AI-driven 3D reconstruction proves beneficial for intraoperative guidance and preoperative preparation. Artificial intelligence (AI) shows potential for advancing surgical training by providing unbiased evaluations, personalized feedback, and enhanced learning processes. Yet challenges such as consistent metric measurement, ethical concerns, and data privacy must be addressed. The integration of AI into kidney cancer surgical training offers solutions to training difficulties and a boost to surgical education. However, to fully harness its potential, additional studies are imperative.
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Affiliation(s)
- Natali Rodriguez Peñaranda
- Department of Urology, Azienda Ospedaliero-Universitaria di Modena, Via Pietro Giardini, 1355, 41126 Baggiovara, Italy; (N.R.P.); (A.E.); (S.F.); (G.B.); (S.D.B.); (S.M.)
| | - Ahmed Eissa
- Department of Urology, Azienda Ospedaliero-Universitaria di Modena, Via Pietro Giardini, 1355, 41126 Baggiovara, Italy; (N.R.P.); (A.E.); (S.F.); (G.B.); (S.D.B.); (S.M.)
- Department of Urology, Faculty of Medicine, Tanta University, Tanta 31527, Egypt
| | - Stefania Ferretti
- Department of Urology, Azienda Ospedaliero-Universitaria di Modena, Via Pietro Giardini, 1355, 41126 Baggiovara, Italy; (N.R.P.); (A.E.); (S.F.); (G.B.); (S.D.B.); (S.M.)
| | - Giampaolo Bianchi
- Department of Urology, Azienda Ospedaliero-Universitaria di Modena, Via Pietro Giardini, 1355, 41126 Baggiovara, Italy; (N.R.P.); (A.E.); (S.F.); (G.B.); (S.D.B.); (S.M.)
| | - Stefano Di Bari
- Department of Urology, Azienda Ospedaliero-Universitaria di Modena, Via Pietro Giardini, 1355, 41126 Baggiovara, Italy; (N.R.P.); (A.E.); (S.F.); (G.B.); (S.D.B.); (S.M.)
| | - Rui Farinha
- Orsi Academy, 9090 Melle, Belgium; (R.F.); (P.D.B.); (R.D.G.); (A.G.G.); (A.M.)
- Urology Department, Lusíadas Hospital, 1500-458 Lisbon, Portugal
| | - Pietro Piazza
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy;
| | - Enrico Checcucci
- Department of Surgery, FPO-IRCCS Candiolo Cancer Institute, 10060 Turin, Italy;
| | - Inés Rivero Belenchón
- Urology and Nephrology Department, Virgen del Rocío University Hospital, 41013 Seville, Spain;
| | - Alessandro Veccia
- Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37126 Verona, Italy;
| | - Juan Gomez Rivas
- Department of Urology, Hospital Clinico San Carlos, 28040 Madrid, Spain;
| | - Mark Taratkin
- Institute for Urology and Reproductive Health, Sechenov University, 119435 Moscow, Russia;
| | - Karl-Friedrich Kowalewski
- Department of Urology and Urosurgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany;
| | - Severin Rodler
- Department of Urology, University Hospital LMU Munich, 80336 Munich, Germany;
| | - Pieter De Backer
- Orsi Academy, 9090 Melle, Belgium; (R.F.); (P.D.B.); (R.D.G.); (A.G.G.); (A.M.)
- Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium
| | - Giovanni Enrico Cacciamani
- USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA;
- AI Center at USC Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA 90089, USA
| | - Ruben De Groote
- Orsi Academy, 9090 Melle, Belgium; (R.F.); (P.D.B.); (R.D.G.); (A.G.G.); (A.M.)
| | - Anthony G. Gallagher
- Orsi Academy, 9090 Melle, Belgium; (R.F.); (P.D.B.); (R.D.G.); (A.G.G.); (A.M.)
- Faculty of Life and Health Sciences, Ulster University, Derry BT48 7JL, UK
| | - Alexandre Mottrie
- Orsi Academy, 9090 Melle, Belgium; (R.F.); (P.D.B.); (R.D.G.); (A.G.G.); (A.M.)
| | - Salvatore Micali
- Department of Urology, Azienda Ospedaliero-Universitaria di Modena, Via Pietro Giardini, 1355, 41126 Baggiovara, Italy; (N.R.P.); (A.E.); (S.F.); (G.B.); (S.D.B.); (S.M.)
| | - Stefano Puliatti
- Department of Urology, Azienda Ospedaliero-Universitaria di Modena, Via Pietro Giardini, 1355, 41126 Baggiovara, Italy; (N.R.P.); (A.E.); (S.F.); (G.B.); (S.D.B.); (S.M.)
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6
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Sighinolfi MC, Menezes AD, Patel V, Moschovas M, Assumma S, Calcagnile T, Panio E, Sangalli M, Turri F, Sarchi L, Micali S, Varca V, Annino F, Leonardo C, Bozzini G, Cacciamani G, Gregori A, Morini E, Terzoni S, Eissa A, Rocco B. Three-Dimensional Customized Imaging Reconstruction for Urological Surgery: Diffusion and Role in Real-Life Practice from an International Survey. J Pers Med 2023; 13:1435. [PMID: 37888045 PMCID: PMC10607910 DOI: 10.3390/jpm13101435] [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: 08/29/2023] [Revised: 09/21/2023] [Accepted: 09/22/2023] [Indexed: 10/28/2023] Open
Abstract
Despite the arising interest in three-dimensional (3D) reconstruction models from 2D imaging, their diffusion and perception among urologists have been scarcely explored. The aim of the study is to report the results of an international survey investigating the use of such tools among urologists of different backgrounds and origins. Beyond demographics, the survey explored the degree to which 3D models are perceived to improve surgical outcomes, the procedures mostly making use of them, the settings in which those tools are mostly applied, the surgical steps benefiting from 3D reconstructions and future perspectives of improvement. One hundred responders fully completed the survey. All levels of expertise were allowed; more than half (53%) were first surgeons, and 59% had already completed their training. Their main application was partial nephrectomy (85%), followed by radical nephrectomy and radical prostatectomy. Three-dimensional models are mostly used for preoperative planning (75%), intraoperative consultation and tailoring. More than half recognized that 3D models may highly improve surgical outcomes. Despite their recognized usefulness, 77% of responders use 3D models in less than 25% of their major operations due to costs or the extra time taken to perform the reconstruction. Technical improvements and a higher availability of the 3D models will further increase their role in surgical and clinical daily practice.
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Affiliation(s)
| | | | - Vipul Patel
- Global Robotic Institute, AdventHealth, Orlando, FL 34747, USA
| | | | - Simone Assumma
- Urologic Unit, ASST Santi Paolo e Carlo, La Statale University, 20122 Milan, Italy
| | - Tommaso Calcagnile
- Urologic Unit, ASST Santi Paolo e Carlo, La Statale University, 20122 Milan, Italy
| | - Enrico Panio
- Urologic Unit, ASST Santi Paolo e Carlo, La Statale University, 20122 Milan, Italy
| | - Mattia Sangalli
- Urologic Unit, ASST Santi Paolo e Carlo, La Statale University, 20122 Milan, Italy
| | - Filippo Turri
- Urologic Unit, ASST Santi Paolo e Carlo, La Statale University, 20122 Milan, Italy
| | - Luca Sarchi
- Urologic Unit, ASST Santi Paolo e Carlo, La Statale University, 20122 Milan, Italy
| | - Salvatore Micali
- Urologic Unit, Azienda Ospedaliera Universitaria di Modena, 41124 Modena, Italy
| | - Virginia Varca
- Urologic Unit, ASST Rhodense—Presidio di Garbagnate Milanese, 20024 Milan, Italy
| | | | | | | | - Giovanni Cacciamani
- USC Institute of Urology, University of Southern California, Los Angeles, CA 90089, USA
| | - Andrea Gregori
- Urologic Unit, Fatebenefratelli-Sacco Hospital, 20157 Milan, Italy
| | | | - Stefano Terzoni
- Urologic Unit, ASST Santi Paolo e Carlo, La Statale University, 20122 Milan, Italy
| | - Ahmed Eissa
- Urologic Department, Faculty of Medicine, Tanta University, Tanta 31527, Egypt
| | - Bernardo Rocco
- Urologic Unit, ASST Santi Paolo e Carlo, La Statale University, 20122 Milan, Italy
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7
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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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8
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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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Artificial Intelligence in Surgical Learning. SURGERIES 2023. [DOI: 10.3390/surgeries4010010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023] Open
Abstract
(1) Background: Artificial Intelligence (AI) is transforming healthcare on all levels. While AI shows immense potential, the clinical implementation is lagging. We present a concise review of AI in surgical learning; (2) Methods: A non-systematic review of AI in surgical learning of the literature in English is provided; (3) Results: AI shows utility for all components of surgical competence within surgical learning. AI presents with great potential within robotic surgery specifically (4) Conclusions: Technology will evolve in ways currently unimaginable, presenting us with novel applications of AI and derivatives thereof. Surgeons must be open to new modes of learning to be able to implement all evidence-based applications of AI in the future. Systematic analyses of AI in surgical learning are needed.
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10
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Sayegh AS, Medina LG, La Riva A, Perez LC, Poncel J, Forsyth E, Cacciamani GE, Challacombe B, Stifelman M, Gill I, Sotelo R. Superior Mesenteric Artery Injury during Robotic Radical Nephrectomy: Scenarios and Management Strategies. J Clin Med 2023; 12:jcm12020427. [PMID: 36675356 PMCID: PMC9865815 DOI: 10.3390/jcm12020427] [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: 12/19/2022] [Revised: 12/30/2022] [Accepted: 01/03/2023] [Indexed: 01/06/2023] Open
Abstract
Injury to the superior mesenteric artery (SMA) is a rare, underreported, and potentially devastating complication. This study aims to propose a systematic workup to describe how to prevent and manage SMA injury in a standardized stepwise manner. Three different instances of intraoperative injury to the SMA are described in an accompanying video. All three occurred when the SMA was misidentified as the left renal artery during left robotic radical nephrectomy. In the first case, the SMA was mistakenly identified as the renal artery, but after further dissection, the real renal artery was identified and SMA injury was prevented. In the second case, the SMA was clipped and the real left renal artery was subsequently identified, requiring clip removal. In the third case, the SMA was clipped and completely transected, requiring prompt repair by vascular surgery with a successful outcome. This study aims to propose a systematic workup to describe how to prevent and manage SMA injury in a standardized stepwise manner. The proper anatomic recognition of the SMA may prevent its injury. Intraoperative SMA injury should be promptly identified and repaired to avoid its devastating consequences.
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Affiliation(s)
- Aref S. Sayegh
- The Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Luis G. Medina
- The Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Anibal La Riva
- The Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Laura C. Perez
- The Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Jaime Poncel
- The Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Edward Forsyth
- The Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Giovanni E. Cacciamani
- The Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Ben Challacombe
- Department of Urology, Guy’s and St Thomas NHS Foundation Trust, London SE1 9RT, UK
| | - Michael Stifelman
- Department of Urology, Hackensack Meridian School of Medicine, Hackensack, NJ 07601, USA
| | - Inderbir Gill
- The Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Rene Sotelo
- The Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- Correspondence:
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