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OBJECTIVES: to describe the initial experience with PSMA-PET/CT - guided biopsy in European referral centres. METHODS: This multicenter observational cohort study was endorsed by the Young Academic Urologist (YAU) Prostate Cancer Group of the EAU and conducted across six tertiary-level European centres. PSMA-guided biopsies were carried out in a cognitive/fusion manner for all the recruited patients with or without MRI-guided biopsies and/or standard biopsy (SB). PCa and clinical significant PCa (csPCA) detection rate (DR) at prostate biopsy were assessed. Uni- and multivariable models were employed to identify features related to csPCA. RESULTS: Overall, 72 patients were recruited. The topographic location of the dominant lesion depicted by PSMA PET/CT was significantly associated with the location of csPCa, especially in the biopsy naïve cohort. The DR for PCa and csPCa of PSMA-PET/CT-guided biopsies was significantly higher than SB (0.40±0.43 vs. 0.23±0.29, and 0.36±0.44 vs. 0.21±0.30, respectively, both p<0.05) but did not surpass MRI-guided biopsies (0.40±0.43 vs. 0.47±0.44, and 0.36±0.44 vs. 0.47±0.34, respectively, both p>0.05). PSMA-PET/CT-guided biopsy performed better in the biopsy naïve than in the repeated biopsy setting. A SUVmax cut-off value equal to 4.8 provided the best results for detecting csPCa. CONCLUSIONS: Our real-world data illustrate the potentialities of PSMA-PET/CT guided biopsy in diagnosing PCa. Specifically, in biopsy naïve patients with suspicion of high-risk disease, the use of PSMA-PET/CT-targeted biopsy can be considered. Additionally, in the context of repeated biopsies, a PSMA-PET/CT target biopsy might be advisable over the SB.
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BACKGROUND AND OBJECTIVE: The increasing popularity of three-dimensional (3D) virtual reconstructions of two-dimensional (2D) imaging in urology has led to significant technological advancements, resulting in the creation of highly accurate 3D virtual models (3DVMs) that faithfully replicate individual anatomical details. This technology enhances surgical reality, providing surgeons with hyper-accurate insights into instantaneous subjective surgical anatomy and improving preoperative surgical planning. In the uro-oncologic field, the utility of 3D virtual reconstruction has been demonstrated in nephron-sparing surgery, impacting surgical strategy and postoperative outcomes in prostate cancer (PCa). The aim of this study is to offer a thorough narrative review of the current state and application of 3D reconstructions and augmented reality (AR) in radical prostatectomy (RP). METHODS: A non-systematic literature review was conducted using Medline, PubMed, the Cochrane Database, and Embase to gather information on clinical trials, randomized controlled trials, review articles, and prospective and retrospective studies related to 3DVMs and AR in RP. The search strategy followed the PICOS (Patients, Intervention, Comparison, Outcome, Study design) criteria and was performed in January 2024. KEY CONTENT AND FINDINGS: The adoption of 3D visualization has become widespread, with applications ranging from preoperative planning to intraoperative consultations. The urological community's interest in intraoperative surgical navigation using cognitive, virtual, mixed, and AR during RP is evident in a substantial body of literature, including 16 noteworthy investigations. These studies highlight the varied experiences and benefits of incorporating 3D reconstructions and AR into RP, showcasing improvements in preoperative planning, intraoperative navigation, and real-time decision-making. CONCLUSIONS: The integration of 3DVMs and AR technologies in urological oncology, particularly in the context of RP, has shown promising advancements. These technologies provide crucial support in preoperative planning, intraoperative navigation, and real-time decision-making, significantly improving the visualization of complex anatomical structures helping in the nerve sparing (NS) approach modulation and reducing positive surgical margin (PSM) rate. Despite positive outcomes, challenges such as small patient cohorts, lack of standardized methodologies, and concerns about costs and technology adoption persist.
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Realidad Aumentada , Imagenología Tridimensional , Prostatectomía , Humanos , Prostatectomía/métodos , Masculino , Imagenología Tridimensional/métodos , Neoplasias de la Próstata/cirugíaRESUMEN
Current guidelines recommend radical nephroureterectomy with bladder cuff excision as the standard surgical treatment for high-risk upper tract urothelial carcinoma (UTUC). While large evidence is available regarding open and laparoscopic nephroureterectomy, data focusing on robotic nephroureterectomy (RNU) in UTUC are mostly limited with mixed results, especially in locally advanced disease. In light of the recent introduction of new robotic platforms, it is of utmost importance to further investigate oncologic outcomes associated with RNU. Moreover, stronger data exploring different operative settings (i.e. robotic arms and trocars placement) for the new robotic systems are eagerly warranted. To give an answer to such open clinical questions, the Junior ERUS/Young Academic Urologist Working Group on Robot-assisted Surgery designed a multicentric project involving different high-volume centers across the world. The aim of the study will be exploring surgical and oncologic outcomes of RNU, specifically focusing on several clinical unmet needs, such as best operative setting for new robotic platforms, lymph node dissection (LDN) template and robotic bladder cuff management.
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Carcinoma de Células Transicionales , Neoplasias Renales , Nefroureterectomía , Procedimientos Quirúrgicos Robotizados , Neoplasias Ureterales , Humanos , Carcinoma de Células Transicionales/cirugía , Carcinoma de Células Transicionales/patología , Neoplasias Renales/cirugía , Neoplasias Renales/patología , Escisión del Ganglio Linfático/métodos , Nefroureterectomía/métodos , Procedimientos Quirúrgicos Robotizados/métodos , Neoplasias Ureterales/patología , Neoplasias Ureterales/cirugíaRESUMEN
The increase in practices related to enhancing penile size can be attributed to the belief that an improved genital appearance contributes to a man's virility, coupled with an altered self-perception of his body. It is crucial to tailor interventions to meet the genuine needs of patients by thoroughly assessing their history, psychological state, and potential surgical benefits, all while considering the associated risks of complications. This systematic review aims to summarize the available evidence on outcomes, complications, and quality of life after penile augmentation surgery, examining both minimally invasive and more radical techniques. A search of the PubMed and Scopus databases, focusing on English-language papers published in the last 15 years, was performed in December 2023. Papers discussing surgery in animal models and case reports were excluded from the present study unless further evaluated in a follow-up case series. The primary outcomes were changes in penile dimensions, specifically in terms of length and girth, as well as the incidence of surgical complications and the impact on quality of life. A total of 1670 articles were retrieved from the search and 46 were included for analysis. Procedures for penile length perceived enhancements include lipoplasty, skin reconstruction plasty, V-Y and Z plasty, flap reconstruction, scrotoplasty, ventral phalloplasty, and suspensory ligament release; techniques for increasing corporal penile length include penile disassembly, total phalloplasty, and sliding elongation. Finally, penile girth enhancement may be performed using soft tissue fillers, grafting procedures, biodegradable scaffolds, and Penuma®. In conclusion, while penile augmentation surgeries offer potential solutions for individuals concerned about genital size, the risks and complexities need to be accounted for.
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Pene , Calidad de Vida , Humanos , Masculino , Pene/cirugía , Pene/anatomía & histología , Complicaciones Posoperatorias , Resultado del Tratamiento , Procedimientos de Cirugía Plástica/métodos , Procedimientos de Cirugía Plástica/efectos adversosRESUMEN
BACKGROUND: Among prostate cancer (PCa) treatment options, mini-invasive surgical approaches have gained a wide diffusion in the last decades. The aim of this study was to present oncological, functional, and quality of life data after 10 years of follow-up of a prospective randomized controlled trial (RCT) (ISRCTN11552140) comparing robot-assisted radical prostatectomy (RARP) versus laparoscopic radical prostatectomy (LRP) for the treatment of PCa. METHODS: Patients with localized PCa were randomized to undergo LRP or RARP between January 2010 and January 2011. Functional (continence and potency) and oncological (prostate-specific antigen, biochemical recurrence [BCR] and BCR-free survival [BCRFS]) variables were evaluated. BCRFS curves were estimated by the Kaplan-Meier method and compared using the log-rank test. Machine learning partial least square-discriminant analysis (PLS-DA) was used to identify the variables characterizing more the patients who underwent RARP or LRP. RESULTS: Seventy-five of the originally enrolled 120 patients remained on follow-up for 10 years; 40 (53%) underwent RARP and 35 (47%) LRP. Continence and potency recovery rates did not show significant differences (p = 0.068 and p = 0.56, respectively), despite a Δ12% for continence and Δ8% for potency in favor of the robotic approach. However, the quality of continence (in terms of International Consultation on Incontinence Questionnaire-Short Form [ICIQ-SF] score) and erection (in terms of International Index of Erectile Function-5 [IIEF-5] score) was significantly better after 10 years in the robotic group (p = 0.02 and p < 0.001). PLS-DA revealed that LRP was characterized by the worst functional-related outcomes analyzing the entire follow-up period. Four (10%) and six (17%) patients experienced BCR in RARP and LRP groups, respectively (p = 0.36), with an overall 10-year BCR-free survival of 88% and 78% (p = 0.16). CONCLUSIONS: Comparable continence and potency rates were observed between RARP and LRP after a 10-year follow-up. However, the RARP group exhibited superior totally dry rate and erection quality. No difference in terms of oncological outcomes was found.
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Laparoscopía , Prostatectomía , Neoplasias de la Próstata , Calidad de Vida , Procedimientos Quirúrgicos Robotizados , Humanos , Masculino , Prostatectomía/métodos , Prostatectomía/efectos adversos , Neoplasias de la Próstata/cirugía , Laparoscopía/métodos , Laparoscopía/efectos adversos , Procedimientos Quirúrgicos Robotizados/métodos , Procedimientos Quirúrgicos Robotizados/efectos adversos , Persona de Mediana Edad , Estudios Prospectivos , Anciano , Resultado del Tratamiento , Estudios de Seguimiento , Disfunción Eréctil/etiologíaRESUMEN
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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Cirugía Asistida por Computador , Humanos , Cirugía Asistida por Computador/métodos , Procedimientos Quirúrgicos Urológicos/métodos , Realidad Aumentada , Realidad VirtualRESUMEN
Introduction: Predicting postoperative incontinence beforehand is crucial for intensified and personalized rehabilitation after robot-assisted radical prostatectomy. Although nomograms exist, their retrospective limitations highlight artificial intelligence (AI)'s potential. This study seeks to develop a machine learning algorithm using robot-assisted radical prostatectomy (RARP) data to predict postoperative incontinence, advancing personalized care. Materials and Methods: In this propsective observational study, patients with localized prostate cancer undergoing RARP between April 2022 and January 2023 were assessed. Preoperative variables included age, body mass index, prostate-specific antigen (PSA) levels, digital rectal examination (DRE) results, Gleason score, International Society of Urological Pathology grade, and continence and potency questionnaires responses. Intraoperative factors, postoperative outcomes, and pathological variables were recorded. Urinary continence was evaluated using the Expanded Prostate cancer Index Composite questionnaire, and machine learning models (XGBoost, Random Forest, Logistic Regression) were explored to predict incontinence risk. The chosen model's SHAP values elucidated variables impacting predictions. Results: A dataset of 227 patients undergoing RARP was considered for the study. Post-RARP complications were predominantly low grade, and urinary continence rates were 74.2%, 80.7%, and 91.4% at 7, 13, and 90 days after catheter removal, respectively. Employing machine learning, XGBoost proved the most effective in predicting postoperative incontinence risk. Significant variables identified by the algorithm included nerve-sparing approach, age, DRE, and total PSA. The model's threshold of 0.67 categorized patients into high or low risk, offering personalized predictions about the risk of incontinence after surgery. Conclusions: Predicting postoperative incontinence is crucial for tailoring rehabilitation after RARP. Machine learning algorithm, particularly XGBoost, can effectively identify those variables more heavily, impacting the outcome of postoperative continence, allowing to build an AI-driven model addressing the current challenges in post-RARP rehabilitation.
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Algoritmos , Aprendizaje Automático , Complicaciones Posoperatorias , Prostatectomía , Procedimientos Quirúrgicos Robotizados , Incontinencia Urinaria , Humanos , Prostatectomía/efectos adversos , Prostatectomía/métodos , Masculino , Incontinencia Urinaria/etiología , Procedimientos Quirúrgicos Robotizados/efectos adversos , Procedimientos Quirúrgicos Robotizados/métodos , Persona de Mediana Edad , Anciano , Complicaciones Posoperatorias/etiología , Neoplasias de la Próstata/cirugía , Estudios Retrospectivos , Factores de Riesgo , Medición de Riesgo/métodosRESUMEN
PURPOSE: Robot-assisted kidney transplantation (RAKT) is being increasingly performed at selected referral institutions worldwide. Yet, surgical training in RAKT is still unstructured and not grounded into formal credentialing courses including simulation, lab facilities, and modular training with animal models. As such, developing standardized, modular training programs is warranted to provide surgeons with the RAKT-specific skillset needed for a "safe" learning curve. METHODS: The 3-day course on RAKT developed at the EAU Skills Center in Orsi Academy was designed as a standardized, modular, step-by-step approach aiming to provide theoretical and practical skills. The course is held by expert proctors with extensive experience in RAKT. To maximize the course's usefulness, a solid knowledge of robotics and transplantation is desirable for participants. RESULTS: From January 2016 to July 2023, 87 surgeons from 23 countries (of which 36% from extra-European countries) participated in the RAKT course performed at the EAU Skills Center in Orsi Academy. Of these, 58/87 (67%) were urologists, while 27/87 (31%) were general surgeons and 2/87 (2%) were vascular surgeons. To date, 18 participants (20.6%) are actively involved in RAKT programs at institutions included in the European Association of Urology (EAU) Robotic Urology Section (ERUS)-RAKT network. CONCLUSION: Leveraging the potential of simulation, wet-lab training, live porcine models, and experienced proctors, the RAKT course performed at the EAU Skills Center in Orsi Academy represents the first structured teaching effort aiming to offer surgeons a full immersion in RAKT to train the core technical skills.
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Trasplante de Riñón , Procedimientos Quirúrgicos Robotizados , Robótica , Urología , Humanos , Animales , Porcinos , Europa (Continente)RESUMEN
The aim of "Precision Surgery" is to reduce the impact of surgeries on patients' global health. In this context, over the last years, the use of three-dimensional virtual models (3DVMs) of organs has allowed for intraoperative guidance, showing hidden anatomical targets, thus limiting healthy-tissue dissections and subsequent damage during an operation. In order to provide an automatic 3DVM overlapping in the surgical field, we developed and tested a new software, called "ikidney", based on convolutional neural networks (CNNs). From January 2022 to April 2023, patients affected by organ-confined renal masses amenable to RAPN were enrolled. A bioengineer, a software developer, and a surgeon collaborated to create hyper-accurate 3D models for automatic 3D AR-guided RAPN, using CNNs. For each patient, demographic and clinical data were collected. A total of 13 patients were included in the present study. The average anchoring time was 11 (6-13) s. Unintended 3D-model automatic co-registration temporary failures happened in a static setting in one patient, while this happened in one patient in a dynamic setting. There was one failure; in this single case, an ultrasound drop-in probe was used to detect the neoplasm, and the surgery was performed under ultrasound guidance instead of AR guidance. No major intraoperative nor postoperative complications (i.e., Clavien Dindo > 2) were recorded. The employment of AI has unveiled several new scenarios in clinical practice, thanks to its ability to perform specific tasks autonomously. We employed CNNs for an automatic 3DVM overlapping during RAPN, thus improving the accuracy of the superimposition process.
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Robotic surgery has recently been used for treatment of renal cell carcinoma (RCC) and neoplastic thrombus located in the renal vein or inferior vena cava (IVC). Accurate identification of the thrombus location is crucial, and three-dimensional augmented reality (3D AR) may be valuable in achieving this. We enrolled patients with nonmetastatic RCC and level 0-I venous thrombus (Mayo Clinic classification) for robot-assisted radical nephrectomy and thrombectomy with 3D AR guidance. Five patients were prospectively enrolled; three had a level 0 thrombus and two had a level I thrombus. The mean operative time was 123 ± 15 min, mean IVC clamping time was 9.4 ± 6.8 min, and mean estimated blood loss was 750 ± 150 ml. The AR system allowed precise estimation of the thrombus location in all cases. No intraoperative complications or postoperative Clavien-Dindo grade >2 complications occurred. Use of 3D AR guidance allowed correct estimation of the limits of the thrombus and guided the surgeon in selecting an appropriate surgical strategy.
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Background: Currently, the landscape of surgical training is undergoing rapid evolution, marked by the initial implementation of standardized surgical training programs, which are further facilitated by the emergence of new technologies. However, this proliferation is uneven across various countries and hospitals. Objective: To offer a comprehensive overview of the existing surgical training programs throughout Europe, with a specific focus on the accessibility of simulation resources and standardized surgical programs. Design setting and participants: A dedicated survey was designed and spread in May 2022 via the European Association of Urology (EAU) mail list, to Young Urologist Office (YUO), Junior membership, European Urology Residents Education Program participants between 2014 and 2022, and other urologists under 40 yr, and via the EAU Newsletter. Intervention: A 64-item, online-based survey in accordance with the Checklist for Reporting Results of Internet E-Surveys (CHERRIES) using the platform of Survey Monkey (Portland, OR, USA) was realized. Outcome measurements and statistical analysis: The study involved an assessment of the demographic characteristics. Additionally, it explored the type of center, availability of various surgical approaches, presence of training infrastructure, participation in courses, organization of training, and participants' satisfaction with the training program. The level of satisfaction was evaluated using a Likert-5 scale. The subsequent sections delved into surgical training within the realms of open, laparoscopic, robotic, and endoscopic surgery, each explored separately. Finally, the investigation encompassed the presence of a structured training course and the availability of a duly validated final evaluation process. Results and limitations: There were 375 responders with a completion rate of 82%. Among them, 75% were identified as male, 50.6% were young urologists, 31.7% were senior residents, and 17.6% were junior residents. A significant majority of participants (69.6%) were affiliated with academic centers. Regarding the presence of dry lab training facilities, only 50.3% of respondents indicated its availability. Among these centers, 46.7% were primarily focused on laparoscopy training. The availability of virtual and wet lab training centers was even more limited, with rates of 31.5% and 16.2%, respectively. Direct patient involvement was reported in 80.5% of cases for open surgery, 58.8% for laparoscopy, 25.0% for robotics, and 78.6% for endourology. It is worth noting that in <25% of instances, training followed a well-defined standardized program comprising both preclinical and clinical modular phases. Finally, the analysis of participant feedback showed that 49.7% of respondents expressed a satisfaction rating of either 4 or 5 points with respect to the training program. The limitations of our study include the low response rate, predominance of participants from academic centers, and absence of responses from individuals not affiliated with the EAU network. Conclusions: The current distribution of surgical training centers falls short of ensuring widespread access to standardized training programs. Although dry lab facilities are relatively well spread, the availability of wet lab resources remains restricted. Additionally, it appears that many trainees' initial exposure to surgery occurs directly with patients. There is a pressing need for continued endeavors to establish uniform training routes and assessment techniques across various surgical methodologies. Patient summary: Nowadays, the surgical training landscape is heterogeneous across different countries. The implementation of a standardized training methodology to enhance the overall quality of surgical training and thereby improving patient outcomes is needed.
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OBJECTIVES: The research's purpose is to develop a software that automatically integrates and overlay 3D virtual models of kidneys harboring renal masses into the Da Vinci robotic console, assisting surgeon during the intervention. INTRODUCTION: Precision medicine, especially in the field of minimally-invasive partial nephrectomy, aims to use 3D virtual models as a guidance for augmented reality robotic procedures. However, the co-registration process of the virtual images over the real operative field is performed manually. METHODS: In this prospective study, two strategies for the automatic overlapping of the model over the real kidney were explored: the computer vision technology, leveraging the super-enhancement of the kidney allowed by the intraoperative injection of Indocyanine green for superimposition and the convolutional neural network technology, based on the processing of live images from the endoscope, after a training of the software on frames from prerecorded videos of the same surgery. The work-team, comprising a bioengineer, a software-developer and a surgeon, collaborated to create hyper-accuracy 3D models for automatic 3D-AR-guided RAPN. For each patient, demographic and clinical data were collected. RESULTS: Two groups (group A for the first technology with 12 patients and group B for the second technology with 8 patients) were defined. They showed comparable preoperative and post-operative characteristics. Concerning the first technology the average co-registration time was 7 (3-11) seconds while in the case of the second technology 11 (6-13) seconds. No major intraoperative or postoperative complications were recorded. There were no differences in terms of functional outcomes between the groups at every time-point considered. CONCLUSION: The first technology allowed a successful anchoring of the 3D model to the kidney, despite minimal manual refinements. The second technology improved kidney automatic detection without relying on indocyanine injection, resulting in better organ boundaries identification during tests. Further studies are needed to confirm this preliminary evidence.
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Realidad Aumentada , Neoplasias Renales , Procedimientos Quirúrgicos Robotizados , Cirugía Asistida por Computador , Humanos , Procedimientos Quirúrgicos Robotizados/métodos , Cirugía Asistida por Computador/métodos , Estudios Prospectivos , Nefrectomía/métodos , Imagenología Tridimensional/métodos , Neoplasias Renales/diagnóstico por imagen , Neoplasias Renales/cirugía , ComputadoresRESUMEN
Background: In February 2021 Medtronic® (Minneapolis, MN) launched the HUGO™ Robot-Assisted Surgery (RAS) System in the global market. The aim of the current study is to describe the first case series and the optimal setup of robot-assisted pyeloplasty procedure, performed with HUGO RAS system in a tertiary referral robotic center. Methods: Data from consecutive patients who underwent robot-assisted pyeloplasty at Onze-Lieve-Vrouwziekenhuis Hospital (Aalst, Belgium) were recorded. Baseline characteristics, and perioperative and surgical outcomes were collected. Results: Overall, 10 robot-assisted pyeloplasties were performed (October 2022-September 2023). Based on our expertise, the following minor setting changes have been made, relative to the official setup guide: the endoscope port and, subsequently, the left and right-hand ports were positioned more laterally. Additionally, the reserve/4th port was placed more laterally and cranially, and adjusted the arm cart's tilt angle, reducing it from -30° to -15°. The median docking time was 8 (interquartile range [IQR]: 7.2-9.8) minutes, and the median active console time was 89.5 (80.0-95.8) minutes. No conversion to open/laparoscopic surgery or perioperative complications was encountered. A single technical problem was recorded in 1 (10%) procedure. Specifically, one arm was blocked, and the procedure was accomplished with three arms without compromising the procedure success. Conclusions: This study represents the first worldwide series of robot-assisted pyeloplasty performed with the HUGO RAS system and shows promising results. The procedure might be safely performed with this robotic platform achieving optimal perioperative outcomes.
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Laparoscopía , Procedimientos Quirúrgicos Robotizados , Robótica , Humanos , Resultado del Tratamiento , Laparoscopía/métodos , Centros de Atención Terciaria , Derivación y ConsultaRESUMEN
PURPOSE: To access the current scenario of robotic-assisted radical prostatectomy training in multiple centers worldwide. METHODS: We created a multiple-choice questionnaire assessing all details of robotic-assisted radical prostatectomy training with 41 questions divided into three different categories (responder demography, surgical steps, and responder experience). The questionnaire was created and disseminated using the "Google Docs" platform. All responders had an individual invitation by direct message or Email. We selected urologists who had recently finished a postgraduation urologic robotic surgery training (fellowship) in the last five years. We sent 624 invitations to urologists from 138 centers, from January 10th to April 10th, 2022. The answers were reported as percentages and illustrated in pie charts. RESULTS: The response rate was 58% among all centers invited (138/81), 20% among all individual invitations (122/624 answers). Globally, we gathered responses from 23 countries. Most surgeons were older than 34 years, 71% trained in an academic center, and 64% performed less than ten full RARP cases. Transperitoneal is the most common access, and 63% routinely opens the endopelvic fascia. Almost 90% perform the Rocco's stitch, and 94% perform the anastomosis with barbed sutures. Finally, only 31% of surgeons assisted more than 100 cases before moving to the console, and most surgeons (63.9%) performed less than ten full RARP cases during their training. CONCLUSION: By assessing the robotic-assisted radical prostatectomy training status in 23 countries and 81 centers worldwide, we assessed the trainees' demography, step-by-step surgical technique, training perspectives, and impressions of surgeons who trained in the last five years. This data is crucial for a better understanding the trainee's standpoint, addressing potential deficiencies, and implementing improvements needed in the training process. Our study clearly indicates elements of current training modalities that are prone to major improvement.
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Laparoscopía , Procedimientos Quirúrgicos Robotizados , Robótica , Masculino , Humanos , Procedimientos Quirúrgicos Robotizados/métodos , Prostatectomía/métodos , Próstata , Laparoscopía/métodosRESUMEN
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.