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Secco S, Olivero A, Tappero S, Dell’Oglio P, Carbonaro L, Marando A, Vanzulli A, Bonoldi E, Bocciardi AM, Galfano A. Three-dimensional (3D) augmented reality during Retzius-sparing robot-assisted radical prostatectomy (RS-RARP): First experience. CANCER PATHOGENESIS AND THERAPY 2025; 3:81-84. [PMID: 39872365 PMCID: PMC11764351 DOI: 10.1016/j.cpt.2024.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 06/10/2024] [Accepted: 06/16/2024] [Indexed: 01/30/2025]
Affiliation(s)
- Silvia Secco
- Department of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan 20162, Italy
| | - Alberto Olivero
- Department of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan 20162, Italy
| | - Stefano Tappero
- Department of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan 20162, Italy
| | - Paolo Dell’Oglio
- Department of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan 20162, Italy
- Department of Urology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital, Amsterdam 1066, the Netherlands
- Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden 2333, the Netherlands
| | - Luca Carbonaro
- Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Milan 20162, Italy
| | - Alessandro Marando
- Department of Hematology, Oncology, and Molecular Medicine, ASST Grande Ospedale Metropolitano Niguarda, Milan 20162, Italy
| | - Angelo Vanzulli
- Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Milan 20162, Italy
| | - Emanuela Bonoldi
- Department of Hematology, Oncology, and Molecular Medicine, ASST Grande Ospedale Metropolitano Niguarda, Milan 20162, Italy
| | | | - Antonio Galfano
- Department of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan 20162, Italy
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2
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Fang B, Zhu Y. Applying prediction models in clinical practice: the importance of fine details. Prostate Cancer Prostatic Dis 2024; 27:584. [PMID: 37803242 DOI: 10.1038/s41391-023-00734-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 09/17/2023] [Accepted: 09/28/2023] [Indexed: 10/08/2023]
Affiliation(s)
- Bangwei Fang
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Genitourinary Cancer Institute, Shanghai, 200032, China
| | - Yao Zhu
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
- Shanghai Genitourinary Cancer Institute, Shanghai, 200032, China.
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Doornbos MCJ, Peek JJ, Maat APWM, Ruurda JP, De Backer P, Cornelissen BMW, Mahtab EAF, Sadeghi AH, Kluin J. Augmented Reality Implementation in Minimally Invasive Surgery for Future Application in Pulmonary Surgery: A Systematic Review. Surg Innov 2024; 31:646-658. [PMID: 39370802 PMCID: PMC11475712 DOI: 10.1177/15533506241290412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/08/2024]
Abstract
OBJECTIVE This systematic review investigates of Augmented Reality (AR) systems used in minimally invasive surgery of deformable organs, focusing on initial registration, dynamic tracking, and visualization. The objective is to acquire a comprehensive understanding of the current knowledge, applications, and challenges associated with current AR-techniques, aiming to leverage these insights for developing a dedicated AR pulmonary Video or Robotic Assisted Thoracic Surgery (VATS/RATS) workflow. METHODS A systematic search was conducted within Embase, Medline (Ovid) and Web of Science on April 16, 2024, following the Preferred Reporting items for Systematic Reviews and Meta-Analyses (PRISMA). The search focused on intraoperative AR applications and intraoperative navigational purposes for deformable organs. Quality assessment was performed and studies were categorized according to initial registration and dynamic tracking methods. RESULTS 33 articles were included, of which one involved pulmonary surgery. Studies used both manual and (semi-) automatic registration methods, established through anatomical landmark-based, fiducial-based, or surface-based techniques. Diverse outcome measures were considered, including surgical outcomes and registration accuracy. The majority of studies that reached an registration accuracy below 5 mm applied surface-based registration. CONCLUSIONS AR can potentially aid surgeons with real-time navigation and decision making during anatomically complex minimally invasive procedures. Future research for pulmonary applications should focus on exploring surface-based registration methods, considering their non-invasive, marker-less nature, and promising accuracy. Additionally, vascular-labeling-based methods are worth exploring, given the importance and relative stability of broncho-vascular anatomy in pulmonary VATS/RATS. Assessing clinical feasibility of these approaches is crucial, particularly concerning registration accuracy and potential impact on surgical outcomes.
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Affiliation(s)
- Marie-Claire J. Doornbos
- Department of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands
- Educational Program Technical Medicine, Leiden University Medical Center, Delft University of Technology & Erasmus University Medical Center Rotterdam, Leiden, The Netherlands
| | - Jette J. Peek
- Department of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands
| | | | - Jelle P. Ruurda
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | | | - Edris A. F. Mahtab
- Department of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands
- Department of Cardiothoracic Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Amir H. Sadeghi
- Department of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands
- Department of Cardiothoracic Surgery, University Medical Center Utrecht, The Netherlands
| | - Jolanda Kluin
- Department of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands
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Bignante G, Orsini A, Lasorsa F, Lambertini L, Pacini M, Amparore D, Pandolfo SD, Del Giudice F, Zaytoun O, Buscarini M, Lucarelli G, Schips L, Veccia A, Antonelli A, Fiori C, Porpiglia F, Autorino R. Robotic-assisted surgery for the treatment of urologic cancers: recent advances. Expert Rev Med Devices 2024; 21:1165-1177. [PMID: 39618104 DOI: 10.1080/17434440.2024.2435546] [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: 07/26/2024] [Accepted: 11/25/2024] [Indexed: 12/28/2024]
Abstract
INTRODUCTION Recent advancements in single-port surgery, robotic platforms, 3D models and artificial intelligence have transformed surgical procedures, especially in urology. These innovations enhance precision, safety, and efficacy, reducing invasiveness and recovery times. The review focuses on the latest in robotic-assisted surgery for genitourinary cancers, highlighting the shift toward personalized, minimally invasive treatments. AREAS COVERED A bibliographic search across PubMed, Scopus, and EMBASE databases focused on the last four years of innovations in robotic surgery for urologic tumors. The review highlights the use of the Da Vinci Single Port robotic system, available robotic platforms worldwide, advancements in 3D virtual models, artificial intelligence in robotic surgery and the application of molecular imaging for assessing primary lymph nodes and treating lymph node metastases and local recurrences in prostate cancer. EXPERT OPINION The integration of single-port surgery, new robotic platforms, 3D models and artificial intelligence in urological oncology promises transformative impacts on diagnosis, treatment and cost-effectiveness. Despite benefits like enhanced precision and expanded surgical access, challenges such as high costs, training needs, and technological integration barriers persist. Collaboration and further research are critical to optimize outcomes, improve safety protocols, and ensure equitable global access to these innovations.
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Affiliation(s)
- Gabriele Bignante
- Department of Urology, Rush University Medical Center, Chicago, IL, USA
- Division of Urology, Department of Oncology, University of Turin, Orbassano, Turin, Italy
| | - Angelo Orsini
- Department of Urology, Rush University Medical Center, Chicago, IL, USA
- Urology Unit, Department of Medical, Oral and Biotechnological Sciences, "G. D'Annunzio" University, Chieti, Italy
| | - Francesco Lasorsa
- Department of Urology, Rush University Medical Center, Chicago, IL, USA
- Department of Precision and Regenerative Medicine and Ionian Area-Urology, Andrology and Kidney Transplantation Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Luca Lambertini
- Department of Experimental and Clinical Medicine, Careggi Hospital, University of Florence, Florence, Italy
| | - Matteo Pacini
- Urology Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Daniele Amparore
- Division of Urology, Department of Oncology, University of Turin, Orbassano, Turin, Italy
| | | | - Francesco Del Giudice
- Department of Maternal Infant and Urologic Sciences, University of Rome La Sapienza, Rome, Lazio, Italy
| | - Osama Zaytoun
- Department of Urology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA
| | - Maurizio Buscarini
- Department of Urology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA
| | - Giuseppe Lucarelli
- Department of Precision and Regenerative Medicine and Ionian Area-Urology, Andrology and Kidney Transplantation Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Luigi Schips
- Urology Unit, Department of Medical, Oral and Biotechnological Sciences, "G. D'Annunzio" University, Chieti, Italy
| | | | | | - Cristian Fiori
- Division of Urology, Department of Oncology, University of Turin, Orbassano, Turin, Italy
| | - Francesco Porpiglia
- Division of Urology, Department of Oncology, University of Turin, Orbassano, Turin, Italy
| | - Riccardo Autorino
- Department of Urology, Rush University Medical Center, Chicago, IL, USA
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Dinneen E, Almeida-Magana R, Al-Hammouri T, Fernandes I, Mayor N, Mendes L, Winkler M, Silvanto A, Haider A, Freeman A, Shaw G. Intraoperative margin assessment during radical prostatectomy: is microscopy frozen in time or ready for digital defrost? Histopathology 2024; 85:716-726. [PMID: 39104212 DOI: 10.1111/his.15290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/07/2024]
Abstract
Intraoperative frozen section (IFS) is used with the intention to improve functional and oncological outcomes for patients undergoing radical prostatectomy (RP). High resource requirements of IFS techniques such as NeuroSAFE may preclude widespread adoption, even if there are benefits to patients. Recent advances in fresh-tissue microscopic digital imaging technologies may offer an attractive alternative, and there is a growing body of evidence regarding these technologies. In this narrative review, we discuss some of the familiar limitations of IFS and compare these to the attractive counterpoints of modern digital imaging technologies such as the speed and ease of image generation, the locality of equipment within (or near) the operating room, the ability to maintain tissue integrity, and digital transfer of images. Confocal laser microscopy (CLM) is the modality most frequently reported in the literature for margin assessment during RP. We discuss several imitations and obstacles to widespread dissemination of digital imaging technologies. Among these, we consider how the 'en-face' margin perspective will challenge urologists and pathologists to understand afresh the meaning of positive margin significance. As a part of this, discussions on how to describe, categorize, react to, and evaluate these technologies are needed to improve patient outcomes. Limitations of this review include its narrative structure and that the evidence base in this field is relatively immature but developing at pace.
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Affiliation(s)
- Eoin Dinneen
- Division of Surgery & Interventional Science, University College London, London, UK
- Department of Urology, Westmoreland Street Hospital, University College Hospital London, London, UK
| | - Ricardo Almeida-Magana
- Division of Surgery & Interventional Science, University College London, London, UK
- Department of Urology, Westmoreland Street Hospital, University College Hospital London, London, UK
| | - Tarek Al-Hammouri
- Division of Surgery & Interventional Science, University College London, London, UK
- Centre for Medical Imaging, University College London, London, UK
| | - Iona Fernandes
- Department of Urology, Westmoreland Street Hospital, University College Hospital London, London, UK
| | - Nikhil Mayor
- Department of Urology, Imperial College NHS Healthcare Trust, Charing Cross Hospital, London, UK
- Imperial Prostate, Division of Surgery, Imperial College London, London, UK
| | - Larissa Mendes
- Department of Histopathology, University College Hospital London, London, UK
| | - Mathias Winkler
- Department of Urology, Imperial College NHS Healthcare Trust, Charing Cross Hospital, London, UK
- Imperial Prostate, Division of Surgery, Imperial College London, London, UK
| | - Anna Silvanto
- Department of Histopathology, University College Hospital London, London, UK
| | - Aiman Haider
- Department of Histopathology, University College Hospital London, London, UK
| | - Alex Freeman
- Department of Histopathology, University College Hospital London, London, UK
| | - Greg Shaw
- Division of Surgery & Interventional Science, University College London, London, UK
- Department of Urology, Westmoreland Street Hospital, University College Hospital London, London, UK
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Chen Z, Cruciani L, Fan K, Fontana M, Lievore E, De Cobelli O, Musi G, Ferrigno G, De Momi E. Towards safer robot-assisted surgery: A markerless augmented reality framework. Neural Netw 2024; 178:106469. [PMID: 38925030 DOI: 10.1016/j.neunet.2024.106469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 06/01/2024] [Accepted: 06/16/2024] [Indexed: 06/28/2024]
Abstract
Robot-assisted surgery is rapidly developing in the medical field, and the integration of augmented reality shows the potential to improve the operation performance of surgeons by providing more visual information. In this paper, we proposed a markerless augmented reality framework to enhance safety by avoiding intra-operative bleeding, which is a high risk caused by collision between surgical instruments and delicate blood vessels (arteries or veins). Advanced stereo reconstruction and segmentation networks are compared to find the best combination to reconstruct the intra-operative blood vessel in 3D space for registration with the pre-operative model, and the minimum distance detection between the instruments and the blood vessel is implemented. A robot-assisted lymphadenectomy is emulated on the da Vinci Research Kit in a dry lab, and ten human subjects perform this operation to explore the usability of the proposed framework. The result shows that the augmented reality framework can help the users to avoid the dangerous collision between the instruments and the delicate blood vessel while not introducing an extra load. It provides a flexible framework that integrates augmented reality into the medical robotic platform to enhance safety during surgery.
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Affiliation(s)
- Ziyang Chen
- Politecnico di Milano, Department of Electronics, Information and Bioengineering, Milano, 20133, Italy
| | - Laura Cruciani
- Politecnico di Milano, Department of Electronics, Information and Bioengineering, Milano, 20133, Italy
| | - Ke Fan
- Politecnico di Milano, Department of Electronics, Information and Bioengineering, Milano, 20133, Italy.
| | - Matteo Fontana
- European Institute of Oncology, Department of Urology, IRCCS, Milan, 20141, Italy
| | - Elena Lievore
- European Institute of Oncology, Department of Urology, IRCCS, Milan, 20141, Italy
| | - Ottavio De Cobelli
- European Institute of Oncology, Department of Urology, IRCCS, Milan, 20141, Italy; University of Milan, Department of Oncology and Onco-haematology, Faculty of Medicine and Surgery, Milan, 20122, Italy
| | - Gennaro Musi
- European Institute of Oncology, Department of Urology, IRCCS, Milan, 20141, Italy; University of Milan, Department of Oncology and Onco-haematology, Faculty of Medicine and Surgery, Milan, 20122, Italy
| | - Giancarlo Ferrigno
- Politecnico di Milano, Department of Electronics, Information and Bioengineering, Milano, 20133, Italy
| | - Elena De Momi
- Politecnico di Milano, Department of Electronics, Information and Bioengineering, Milano, 20133, Italy; European Institute of Oncology, Department of Urology, IRCCS, Milan, 20141, Italy
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Hong SY, Qin BL. Recent Advances in Robotic Surgery for Urologic Tumors. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:1573. [PMID: 39459360 PMCID: PMC11509350 DOI: 10.3390/medicina60101573] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2024] [Revised: 09/14/2024] [Accepted: 09/24/2024] [Indexed: 10/28/2024]
Abstract
This review discusses recent advances in robotic surgery for urologic tumors, focusing on three key areas: robotic systems, assistive technologies, and artificial intelligence. The Da Vinci SP system has enhanced the minimally invasive nature of robotic surgeries, while the Senhance system offers advantages such as tactile feedback and eye-tracking capabilities. Technologies like 3D reconstruction combined with augmented reality and fluorescence imaging aid surgeons in precisely identifying the anatomical relationships between tumors and surrounding structures, improving surgical efficiency and outcomes. Additionally, the development of artificial intelligence lays the groundwork for automated robotics. As these technologies continue to evolve, we are entering an era of minimally invasive, precise, and intelligent robotic surgery.
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Affiliation(s)
| | - Bao-Long Qin
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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Ditonno F, Bologna E, Licari LC, Franco A, Cannoletta D, Checcucci E, Veccia A, Bertolo R, Crivellaro S, Porpiglia F, De Nunzio C, Antonelli A, Autorino R. Neurovascular structure-adjacent frozen-section examination (NeuroSAFE) during robot-assisted radical prostatectomy: a systematic review and meta-analysis of comparative studies. Prostate Cancer Prostatic Dis 2024:10.1038/s41391-024-00891-3. [PMID: 39232095 DOI: 10.1038/s41391-024-00891-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 08/20/2024] [Accepted: 08/28/2024] [Indexed: 09/06/2024]
Abstract
BACKGROUND To compare surgical, pathological, and functional outcomes of patients undergoing NeuroSAFE-guided RARP vs. RARP alone. METHODS In February 2024, a literature search and assessment was conducted through PubMed®, Scopus®, and Web of Science™, to retrieve data of men with PCa (P) undergoing RARP with NeuroSAFE (I) versus RARP without NeuroSAFE (C) to evaluate surgical, pathological, oncological, and functional outcomes (O), across retrospective and/or prospective comparative studies (Studies). Surgical (operative time [OT], number of nerve-sparing [NS] RARP, number of secondary resections after NeuroSAFE), pathological (PSM), oncological (biochemical recurrence [BCR]), and functional (postoperative continence and sexual function recovery) outcomes were analyzed, using weighted mean difference (WMD) for continuous variables and odd ratio (OR) for dichotomous variables. RESULTS Overall, seven studies met the inclusion criteria (one randomized clinical trial, one prospective non-randomized trial and five retrospective studies) and were eligible for SR and MA. A total of 4,207 patients were included in the MA, with 2247 patients (53%) undergoing RARP with the addition of NeuroSAFE, and 1 960 (47%) receiving RARP alone. The addition of NeuroSAFE enhanced the likelihood of receiving a nerve-sparing (NS) RARP (OR 5.49, 95% CI 2.48-12.12, I2 = 72%). In the NeuroSAFE cohort, a statistically significant reduction in the likelihood of PSM at final pathology (OR 0.55, 95% CI 0.39-0.79, I2 = 73%) was observed. Similarly, a reduced likelihood of BCR favoring the NeuroSAFE was obtained (OR 0.47, 95% CI 0.35-0.62, I2 = 0%). At 12-month postoperatively, NeuroSAFE led to a significantly higher likelihood of being pad-free (OR 2.01, 95% CI 1.25-3.25, I2 = 0%), and of erectile function recovery (OR 3.50, 95% CI 2.34-5.23, I2 = 0%). CONCLUSION Available evidence suggests that NeuroSAFE might represent a histologically based approach to NVB preservation, broadening the indications of NS RARP, reducing the likelihood of PSM and subsequent BCR. In addition, it might translate into better functional postoperative outcomes. However, the current body of evidence is mostly derived from non-randomized studies with a high risk of bias.
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Affiliation(s)
- Francesco Ditonno
- Department of Urology, Rush University Medical Center, Chicago, IL, USA
- Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | - Eugenio Bologna
- Department of Urology, Rush University Medical Center, Chicago, IL, USA
- Unit of Urology, Department of Maternal-Child and Urological Sciences, Policlinico Umberto I Hospital, ''Sapienza'' University, Rome, Italy
| | - Leslie Claire Licari
- Department of Urology, Rush University Medical Center, Chicago, IL, USA
- Unit of Urology, Department of Maternal-Child and Urological Sciences, Policlinico Umberto I Hospital, ''Sapienza'' University, Rome, Italy
| | - Antonio Franco
- Department of Urology, Rush University Medical Center, Chicago, IL, USA
- Department of Urology, Sant'Andrea Hospital, Sapienza University, Rome, Italy
| | - Donato Cannoletta
- Department of Urology, University of Illinois at Chicago, Chicago, IL, USA
| | - Enrico Checcucci
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy
| | - Alessandro Veccia
- Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | - Riccardo Bertolo
- Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | - Simone Crivellaro
- Department of Urology, University of Illinois at Chicago, Chicago, IL, USA
| | - Francesco Porpiglia
- Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Turin, Italy
| | - Cosimo De Nunzio
- Department of Urology, Sant'Andrea Hospital, Sapienza University, Rome, Italy
| | - Alessandro Antonelli
- Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | - Riccardo Autorino
- Department of Urology, Rush University Medical Center, Chicago, IL, USA.
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9
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Prasad K, Fassler C, Miller A, Aweeda M, Pruthi S, Fusco JC, Daniel B, Miga M, Wu JY, Topf MC. More than meets the eye: Augmented reality in surgical oncology. J Surg Oncol 2024; 130:405-418. [PMID: 39155686 DOI: 10.1002/jso.27790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Accepted: 07/09/2024] [Indexed: 08/20/2024]
Abstract
BACKGROUND AND OBJECTIVES In the field of surgical oncology, there has been a desire for innovative techniques to improve tumor visualization, resection, and patient outcomes. Augmented reality (AR) technology superimposes digital content onto the real-world environment, enhancing the user's experience by blending digital and physical elements. A thorough examination of AR technology in surgical oncology has yet to be performed. METHODS A scoping review of intraoperative AR in surgical oncology was conducted according to the guidelines and recommendations of The Preferred Reporting Items for Systematic Review and Meta-analyzes Extension for Scoping Reviews (PRISMA-ScR) framework. All original articles examining the use of intraoperative AR during surgical management of cancer were included. Exclusion criteria included virtual reality applications only, preoperative use only, fluorescence, AR not specific to surgical oncology, and study design (reviews, commentaries, abstracts). RESULTS A total of 2735 articles were identified of which 83 were included. Most studies (52) were performed on animals or phantom models, while the remaining included patients. A total of 1112 intraoperative AR surgical cases were performed across the studies. The most common anatomic site was brain (20 articles), followed by liver (16), renal (9), and head and neck (8). AR was most often used for intraoperative navigation or anatomic visualization of tumors or critical structures but was also used to identify osteotomy or craniotomy planes. CONCLUSIONS AR technology has been applied across the field of surgical oncology to aid in localization and resection of tumors.
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Affiliation(s)
- Kavita Prasad
- Department of Otolaryngology-Head & Neck Surgery, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Carly Fassler
- Department of Otolaryngology-Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Alexis Miller
- Department of Otolaryngology-Head & Neck Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Marina Aweeda
- Department of Otolaryngology-Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sumit Pruthi
- Department of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Joseph C Fusco
- Department of Pediatric Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Bruce Daniel
- Department of Radiology, Stanford Health Care, Palo Alto, California, USA
| | - Michael Miga
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
| | - Jie Ying Wu
- Department of Computer Science, Vanderbilt University, Nashville, Tennessee, USA
| | - Michael C Topf
- Department of Otolaryngology-Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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10
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Sarhan K, Khan N, Prezzi D, Antonelli M, Hyde E, MacAskill F, Bunton C, Byrne N, Diaz-Pinto A, Stabile A, Briganti A, Gandaglia G, Raison N, Montorsi F, Ourselin S, Dasgupta P, Granados A. Reduction of surgical complications via 3D models during robotic assisted radical prostatectomy: review of current evidence and meta-analysis. J Robot Surg 2024; 18:304. [PMID: 39105931 PMCID: PMC11303509 DOI: 10.1007/s11701-024-02041-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Accepted: 07/03/2024] [Indexed: 08/07/2024]
Abstract
The use of 3-dimensional (3D) technology has become increasingly popular across different surgical specialities to improve surgical outcomes. 3D technology has the potential to be applied to robotic assisted radical prostatectomy to visualise the patient's prostate anatomy to be used as a preoperative and peri operative surgical guide. This literature review aims to analyse all relevant pre-existing research on this topic. Following PRISMA guidelines, a search was carried out on PubMed, Medline, and Scopus. A total of seven studies were included in this literature review; two of which used printed-3D models and the remaining five using virtual augmented reality (AR) 3D models. Results displayed variation with select studies presenting that the use of 3D models enhances surgical outcomes and reduces complications whilst others displayed conflicting evidence. The use of 3D modelling within surgery has potential to improve various areas. This includes the potential surgical outcomes, including complication rates, due to improved planning and education.
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Affiliation(s)
| | - Nawal Khan
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Urology, Guy's Hospital, London, UK
| | - Davide Prezzi
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Urology, Guy's Hospital, London, UK
| | - Michela Antonelli
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | | | | | - Christopher Bunton
- Medical Physics and Clinical Engineering, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Nick Byrne
- Medical Physics and Clinical Engineering, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Andres Diaz-Pinto
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- NVIDIA, Santa Clara, CA, USA
| | | | | | | | - Nicholas Raison
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Urology, Guy's Hospital, London, UK
| | | | - Sebastien Ourselin
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Prokar Dasgupta
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Urology, Guy's Hospital, London, UK
| | - Alejandro Granados
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
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11
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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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12
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Tappero S, Fallara G, Chierigo F, Micalef A, Ambrosini F, Diaz R, Dorotei A, Pompeo E, Limena A, Bravi CA, Longoni M, Piccinelli ML, Barletta F, Albano L, Mazzone E, Dell'Oglio P. Intraoperative image-guidance during robotic surgery: is there clinical evidence of enhanced patient outcomes? Eur J Nucl Med Mol Imaging 2024; 51:3061-3078. [PMID: 38607386 DOI: 10.1007/s00259-024-06706-w] [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: 12/19/2023] [Accepted: 03/25/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND To date, the benefit of image guidance during robot-assisted surgery (IGS) is an object of debate. The current study aims to address the quality of the contemporary body of literature concerning IGS in robotic surgery throughout different surgical specialties. METHODS A systematic review of all English-language articles on IGS, from January 2013 to March 2023, was conducted using PubMed, Cochrane library's Central, EMBASE, MEDLINE, and Scopus databases. Comparative studies that tested performance of IGS vs control were included for the quantitative synthesis, which addressed outcomes analyzed in at least three studies: operative time, length of stay, blood loss, surgical margins, complications, number of nodal retrievals, metastatic nodes, ischemia time, and renal function loss. Bias-corrected ratio of means (ROM) and bias-corrected odds ratio (OR) compared continuous and dichotomous variables, respectively. Subgroup analyses according to guidance type (i.e., 3D virtual reality vs ultrasound vs near-infrared fluoresce) were performed. RESULTS Twenty-nine studies, based on 11 surgical procedures of three specialties (general surgery, gynecology, urology), were included in the quantitative synthesis. IGS was associated with 12% reduction in length of stay (ROM 0.88; p = 0.03) and 13% reduction in blood loss (ROM 0.87; p = 0.03) but did not affect operative time (ROM 1.00; p = 0.9), or complications (OR 0.93; p = 0.4). IGS was associated with an estimated 44% increase in mean number of removed nodes (ROM 1.44; p < 0.001), and a significantly higher rate of metastatic nodal disease (OR 1.82; p < 0.001), as well as a significantly lower rate of positive surgical margins (OR 0.62; p < 0.001). In nephron sparing surgery, IGS significantly decreased renal function loss (ROM 0.37; p = 0.002). CONCLUSIONS Robot-assisted surgery benefits from image guidance, especially in terms of pathologic outcomes, namely higher detection of metastatic nodes and lower surgical margins. Moreover, IGS enhances renal function preservation and lowers surgical blood loss.
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Affiliation(s)
- Stefano Tappero
- Department of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Giuseppe Fallara
- Department of Urology, European Institute of Oncology (IEO), University of Milan, Milan, Italy
| | - Francesco Chierigo
- Department of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
- Department of Urology, Azienda Ospedaliera Nazionale SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy
- Department of Urology, IRCCS Ospedale Policlinico San Martino, University of Genova, Genoa, Italy
- Department of Surgical and Diagnostic Integrated Sciences (DISC), University of Genova, Genoa, Italy
| | - Andrea Micalef
- Department of General Surgery, Luigi Sacco University Hospital, Milan, Italy
- Università Degli Studi Di Milano, Milan, Italy
| | - Francesca Ambrosini
- Department of Urology, IRCCS Ospedale Policlinico San Martino, University of Genova, Genoa, Italy
- Department of Surgical and Diagnostic Integrated Sciences (DISC), University of Genova, Genoa, Italy
| | - Raquel Diaz
- Department of Surgical and Diagnostic Integrated Sciences (DISC), University of Genova, Genoa, Italy
| | - Andrea Dorotei
- Department of Orthopaedics, Humanitas Clinical and Research Center, IRCCS, Rozzano, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Edoardo Pompeo
- Neurosurgery and Gamma Knife Radiosurgery Unit, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Alessia Limena
- Infertility Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - Carlo Andrea Bravi
- Department of Urology, Northampton General Hospital, Northampton, UK
- Department of Urology, Royal Marsden Foundation Trust, London, UK
| | - Mattia Longoni
- Unit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Mattia Luca Piccinelli
- Department of Urology, European Institute of Oncology (IEO), University of Milan, Milan, Italy
| | - Francesco Barletta
- Unit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Luigi Albano
- Neurosurgery and Gamma Knife Radiosurgery Unit, IRCCS Ospedale San Raffaele, Milan, Italy
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Elio Mazzone
- Unit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Paolo Dell'Oglio
- Department of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
- Department of Urology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
- Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
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Reitano G, Ceccato T, Botti S, Bruniera M, Carrozza S, Bovolenta E, Randazzo G, Minardi D, Ruggera L, Gardi M, Novara G, Dal Moro F, Zattoni F. Treatment and Staging Intensification Strategies Associated with Radical Prostatectomy for High-Risk Prostate Cancer: Efficacy Evaluation and Exploration of Novel Approaches. Cancers (Basel) 2024; 16:2465. [PMID: 39001527 PMCID: PMC11240638 DOI: 10.3390/cancers16132465] [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: 05/27/2024] [Revised: 06/27/2024] [Accepted: 07/04/2024] [Indexed: 07/16/2024] Open
Abstract
The management of high-risk prostate cancer (PCa) presents a significant clinical challenge, often necessitating treatment intensification due to the potential presence of micrometastases. While radical prostatectomy (RP) constitutes one of the primary treatment modalities, the integration of neoadjuvant and adjuvant therapies suggests a paradigm shift towards more aggressive treatment strategies, also guided by new imaging modalities like positron emission tomography using prostate-specific membrane antigen (PSMA-PET). Despite the benefits, treatment intensification raises concerns regarding increased side effects. This review synthesizes the latest evidence on perioperative treatment intensification and de-escalation for high-risk localized and locally advanced PCa patients eligible for surgery. Through a non-systematic literature review conducted via PubMed, Scopus, Web of Science, and ClinicalTrials.gov, we explored various dimensions of perioperative treatments, including neoadjuvant systemic therapies, adjuvant therapies, and the role of novel diagnostic technologies. Emerging evidence provides more support for neoadjuvant systemic therapies. Preliminary results from studies suggest the potential for treatments traditionally reserved for metastatic PCa to show apparent benefit in a non-metastatic setting. The role of adjuvant treatments remains debated, particularly the use of androgen deprivation therapy (ADT) and adjuvant radiotherapy in patients at higher risk of biochemical recurrence. The potential role of radio-guided PSMA lymph node dissection emerges as a cutting-edge approach, offering a targeted method for eradicating disease with greater precision. Innovations such as artificial intelligence and machine learning are potential game-changers, offering new avenues for personalized treatment and improved prognostication. The intensification of surgical treatment in high-risk PCa patients is a dynamic and evolving field, underscored by the integration of traditional and novel therapeutic approaches. As evidence continues to emerge, these strategies will refine patient selection, enhance treatment efficacy, and mitigate the risk of progression, although with an attentive consideration of the associated side effects.
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Affiliation(s)
- Giuseppe Reitano
- Department of Urology, Azienda Ospedale-Università Padova, 35122 Padova, Italy
- Department of Urology, Mayo Clinic, Rochester, MN 55905, USA
| | - Tommaso Ceccato
- Department of Urology, Azienda Ospedale-Università Padova, 35122 Padova, Italy
| | - Simone Botti
- Department of Urology, Azienda Ospedale-Università Padova, 35122 Padova, Italy
| | - Martina Bruniera
- Department of Urology, Azienda Ospedale-Università Padova, 35122 Padova, Italy
| | - Salvatore Carrozza
- Department of Urology, Azienda Ospedale-Università Padova, 35122 Padova, Italy
| | - Eleonora Bovolenta
- Department of Urology, Azienda Ospedale-Università Padova, 35122 Padova, Italy
| | - Gianmarco Randazzo
- Department of Urology, Azienda Ospedale-Università Padova, 35122 Padova, Italy
| | - Davide Minardi
- Department of Urology, Azienda Ospedale-Università Padova, 35122 Padova, Italy
| | - Lorenzo Ruggera
- Department of Urology, Azienda Ospedale-Università Padova, 35122 Padova, Italy
| | - Mario Gardi
- Department of Urology, Azienda Ospedale-Università Padova, 35122 Padova, Italy
| | - Giacomo Novara
- Department of Urology, Azienda Ospedale-Università Padova, 35122 Padova, Italy
| | - Fabrizio Dal Moro
- Department of Urology, Azienda Ospedale-Università Padova, 35122 Padova, Italy
| | - Fabio Zattoni
- Department of Urology, Azienda Ospedale-Università Padova, 35122 Padova, Italy
- Department of Medicine (DIMED), University of Padua, 35128 Padova, Italy
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14
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Knudsen JE, Ghaffar U, Ma R, Hung AJ. Clinical applications of artificial intelligence in robotic surgery. J Robot Surg 2024; 18:102. [PMID: 38427094 PMCID: PMC10907451 DOI: 10.1007/s11701-024-01867-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 02/10/2024] [Indexed: 03/02/2024]
Abstract
Artificial intelligence (AI) is revolutionizing nearly every aspect of modern life. In the medical field, robotic surgery is the sector with some of the most innovative and impactful advancements. In this narrative review, we outline recent contributions of AI to the field of robotic surgery with a particular focus on intraoperative enhancement. AI modeling is allowing surgeons to have advanced intraoperative metrics such as force and tactile measurements, enhanced detection of positive surgical margins, and even allowing for the complete automation of certain steps in surgical procedures. AI is also Query revolutionizing the field of surgical education. AI modeling applied to intraoperative surgical video feeds and instrument kinematics data is allowing for the generation of automated skills assessments. AI also shows promise for the generation and delivery of highly specialized intraoperative surgical feedback for training surgeons. Although the adoption and integration of AI show promise in robotic surgery, it raises important, complex ethical questions. Frameworks for thinking through ethical dilemmas raised by AI are outlined in this review. AI enhancements in robotic surgery is some of the most groundbreaking research happening today, and the studies outlined in this review represent some of the most exciting innovations in recent years.
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Affiliation(s)
- J Everett Knudsen
- Keck School of Medicine, University of Southern California, Los Angeles, USA
| | | | - Runzhuo Ma
- Cedars-Sinai Medical Center, Los Angeles, USA
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15
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Rodler S, Kidess MA, Westhofen T, Kowalewski KF, Belenchon IR, Taratkin M, Puliatti S, Gómez Rivas J, Veccia A, Piazza P, Checcucci E, Stief CG, Cacciamani GE. A Systematic Review of New Imaging Technologies for Robotic Prostatectomy: From Molecular Imaging to Augmented Reality. J Clin Med 2023; 12:5425. [PMID: 37629467 PMCID: PMC10455161 DOI: 10.3390/jcm12165425] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 08/01/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023] Open
Abstract
New imaging technologies play a pivotal role in the current management of patients with prostate cancer. Robotic assisted radical prostatectomy (RARP) is a standard of care for localized disease and through the already imaging-based console subject of research towards combinations of imaging technologies and RARP as well as their impact on surgical outcomes. Therefore, we aimed to provide a comprehensive analysis of the currently available literature for new imaging technologies for RARP. On 24 January 2023, we performed a systematic review of the current literature on Pubmed, Scopus and Web of Science according to the PRISMA guidelines and Oxford levels of evidence. A total of 46 studies were identified of which 19 studies focus on imaging of the primary tumor, 12 studies on the intraoperative tumor detection of lymph nodes and 15 studies on the training of surgeons. While the feasibility of combined approaches using new imaging technologies including MRI, PSMA-PET CT or intraoperatively applied radioactive and fluorescent dyes has been demonstrated, the prospective confirmation of improvements in surgical outcomes is currently ongoing.
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Affiliation(s)
- Severin Rodler
- Department of Urology, University Hospital of Munich, 81377 Munich, Germany (T.W.); (C.G.S.)
| | - Marc Anwar Kidess
- Department of Urology, University Hospital of Munich, 81377 Munich, Germany (T.W.); (C.G.S.)
| | - Thilo Westhofen
- Department of Urology, University Hospital of Munich, 81377 Munich, Germany (T.W.); (C.G.S.)
| | | | - Ines Rivero Belenchon
- Urology and Nephrology Department, Virgen del Rocío University Hospital, Manuel Siurot s/n, 41013 Seville, Spain;
| | - Mark Taratkin
- Institute for Urology and Reproductive Health, Sechenov University, 117418 Moscow, Russia;
| | - Stefano Puliatti
- Department of Urology, University of Modena and Reggio Emilia, 42122 Modena, Italy;
| | - Juan Gómez Rivas
- Department of Urology, Hospital Clinico San Carlos, 28040 Madrid, Spain;
| | - Alessandro Veccia
- Urology Unit, Azienda Ospedaliera Universitaria Integrata Verona, 37126 Verona, Italy;
| | - Pietro Piazza
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy;
| | - Enrico Checcucci
- Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, 10060 Turin, Italy;
| | - Christian Georg Stief
- Department of Urology, University Hospital of Munich, 81377 Munich, Germany (T.W.); (C.G.S.)
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Ma J, Xu W, Chen R, Zhu Y, Wang Y, Cao W, Ju G, Ren J, Ye X, He Q, Chang Y, Ren S. Robotic-assisted versus laparoscopic radical prostatectomy for prostate cancer: the first separate systematic review and meta-analysis of randomised controlled trials and non-randomised studies. Int J Surg 2023; 109:1350-1359. [PMID: 37070788 PMCID: PMC10389430 DOI: 10.1097/js9.0000000000000193] [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: 07/12/2022] [Accepted: 12/30/2022] [Indexed: 04/19/2023]
Abstract
BACKGROUND Due to the lack of sufficient evidence, it is not clear whether robotic-assisted radical prostatectomy (RARP) or laparoscopic radical prostatectomy (LRP) is better for prostate cancer. The authors conducted this study by separately pooling and analysing randomised controlled trials (RCTs) and non-randomised studies to compare the perioperative, functional, and oncologic outcomes between RARP and LRP. METHODS A systematic literature search was performed in March 2022 using Cochrane Library, Pubmed, Embase, Medline, Web of Science, and China National Knowledge Infrastructure. Two independent reviewers performed literature screening, data extraction and quality assessment according to the Preferred Reporting Items for Systematic Review and Meta-analysis statement. Subgroup analysis and sensitivity analysis were performed. RESULTS A total of 46 articles were included, including 4 from 3 RCTs and 42 from non-randomised studies. For RCTs, meta-analysis showed that RARP and LRP were similar in blood loss, catheter indwelling time, overall complication rate, overall positive surgical margin and biochemical recurrence rates, but quantitative synthesis of non-randomised studies showed that RARP was associated with less blood loss [weighted mean difference (WMD)=-71.99, 95% CI -99.37 to -44.61, P <0.001], shorter catheterization duration (WMD=-1.03, 95% CI -1.84 to -0.22, P =0.010), shorter hospital stay (WMD=-0.41, 95% CI -0.68 to -0.13, P =0.004), lower transfusion rate (OR=0.44, 95% CI 0.35-0.56, P <0.001), lower overall complication rate (OR=0.72, 95% CI 0.54-0.96, P =0.020), and lower biochemical recurrence rate (OR=0.78, 95% CI 0.66-0.92, P =0.004), compared with LRP. Both meta-analysis of RCTs and quantitative synthesis of non-randomised studies showed that RARP was associated with improved functional outcomes. From the results of the meta-analysis of RCTs, RARP was higher than LRP in terms of overall continence recovery [odds ratio (OR)=1.60, 95% CI 1.16-2.20, P =0.004), overall erectile function recovery (OR=4.07, 95% CI 2.51-6.60, P <0.001), continence recovery at 1 month (OR=2.14, 95% CI 1.25-3.66, P =0.005), 3 (OR=1.51, 95% CI 1.12-2.02, P =0.006), 6 (OR=2.66, 95% CI 1.31-5.40, P =0.007), and 12 months (OR=3.52, 95% CI 1.36-9.13, P =0.010) postoperatively, and potency recovery at 3 (OR=4.25, 95% CI 1.67-10.82, P =0.002), 6 (OR=3.52, 95% CI 1.31-9.44, P =0.010), and 12 months (OR=3.59, 95% CI 1.78-7.27, P <0.001) postoperatively, which were consistent with the quantitative synthesis of non-randomised studies. When sensitivity analysis was performed, the results remained largely unchanged, but the heterogeneity among studies was greatly reduced. CONCLUSION This study suggests that RARP can improve functional outcomes compared with LRP. Meanwhile, RARP has potential advantages in perioperative and oncologic outcomes.
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Affiliation(s)
| | - Weidong Xu
- Department of Urology, Changzheng Hospital
| | - Rui Chen
- Department of Urology, Changhai Hospital
| | | | - Ye Wang
- Department of Urology, Changhai Hospital
| | - Wanli Cao
- Department of Urology, Changzheng Hospital
| | - Guanqun Ju
- Department of Urology, Changzheng Hospital
| | | | - Xiaofei Ye
- Department of Health Statistics, Naval Medical University, Shanghai, China
| | - Qian He
- Department of Health Statistics, Naval Medical University, Shanghai, China
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Ruggiero F, Cercenelli L, Emiliani N, Badiali G, Bevini M, Zucchelli M, Marcelli E, Tarsitano A. Preclinical Application of Augmented Reality in Pediatric Craniofacial Surgery: An Accuracy Study. J Clin Med 2023; 12:jcm12072693. [PMID: 37048777 PMCID: PMC10095377 DOI: 10.3390/jcm12072693] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 03/29/2023] [Accepted: 03/31/2023] [Indexed: 04/08/2023] Open
Abstract
Background: Augmented reality (AR) allows the overlapping and integration of virtual information with the real environment. The camera of the AR device reads the object and integrates the virtual data. It has been widely applied to medical and surgical sciences in recent years and has the potential to enhance intraoperative navigation. Materials and methods: In this study, the authors aim to assess the accuracy of AR guidance when using the commercial HoloLens 2 head-mounted display (HMD) in pediatric craniofacial surgery. The Authors selected fronto-orbital remodeling (FOR) as the procedure to test (specifically, frontal osteotomy and nasal osteotomy were considered). Six people (three surgeons and three engineers) were recruited to perform the osteotomies on a 3D printed stereolithographic model under the guidance of AR. By means of calibrated CAD/CAM cutting guides with different grooves, the authors measured the accuracy of the osteotomies that were performed. We tested accuracy levels of ±1.5 mm, ±1 mm, and ±0.5 mm. Results: With the HoloLens 2, the majority of the individuals involved were able to successfully trace the trajectories of the frontal and nasal osteotomies with an accuracy level of ±1.5 mm. Additionally, 80% were able to achieve an accuracy level of ±1 mm when performing a nasal osteotomy, and 52% were able to achieve an accuracy level of ±1 mm when performing a frontal osteotomy, while 61% were able to achieve an accuracy level of ±0.5 mm when performing a nasal osteotomy, and 33% were able to achieve an accuracy level of ±0.5 mm when performing a frontal osteotomy. Conclusions: despite this being an in vitro study, the authors reported encouraging results for the prospective use of AR on actual patients.
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Affiliation(s)
- Federica Ruggiero
- Department of Biomedical and Neuromotor Science, University of Bologna, 40138 Bologna, Italy
- Maxillo-Facial Surgery Unit, AUSL Bologna, 40124 Bologna, Italy
| | - Laura Cercenelli
- Laboratory of Bioengineering—eDIMES Lab, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy
| | - Nicolas Emiliani
- Laboratory of Bioengineering—eDIMES Lab, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy
| | - Giovanni Badiali
- Department of Biomedical and Neuromotor Science, University of Bologna, 40138 Bologna, Italy
- Oral and Maxillo-Facial Surgery Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy
| | - Mirko Bevini
- Department of Biomedical and Neuromotor Science, University of Bologna, 40138 Bologna, Italy
- Oral and Maxillo-Facial Surgery Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy
| | - Mino Zucchelli
- Pediatric Neurosurgery, IRCCS Istituto delle Scienze Neurologiche di Bologna, Via Altura 3, 40138 Bologna, Italy
| | - Emanuela Marcelli
- Laboratory of Bioengineering—eDIMES Lab, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy
| | - Achille Tarsitano
- Department of Biomedical and Neuromotor Science, University of Bologna, 40138 Bologna, Italy
- Oral and Maxillo-Facial Surgery Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy
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Boellaard TN, Hagens MJ, Veerman H, Yakar D, Mertens LS, Heijmink SWTPJ, van der Poel HG, van Leeuwen PJ, Schoots IG, van Dijk-de Haan MC. Prostate MRI for Improving Personalized Risk Prediction of Incontinence and Surgical Planning: The Role of Membranous Urethral Length Measurements and the Use of 3D Models. Life (Basel) 2023; 13:830. [PMID: 36983985 PMCID: PMC10054694 DOI: 10.3390/life13030830] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 03/01/2023] [Accepted: 03/17/2023] [Indexed: 03/30/2023] Open
Abstract
Prostate MRI has an important role in prostate cancer diagnosis and treatment, including detection, the targeting of prostate biopsies, staging and guiding radiotherapy and active surveillance. However, there are other ''less well-known'' applications which are being studied and frequently used in our highly specialized medical center. In this review, we focus on two research topics that lie within the expertise of this study group: (1) anatomical parameters predicting the risk of urinary incontinence after radical prostatectomy, allowing more personalized shared decision-making, with special emphasis on the membranous urethral length (MUL); (2) the use of three-dimensional models to help the surgical planning. These models may be used for training, patient counselling, personalized estimation of nerve sparing and extracapsular extension and may help to achieve negative surgical margins and undetectable postoperative PSA values.
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Affiliation(s)
- Thierry N. Boellaard
- Department of Radiology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Marinus J. Hagens
- Department of Urology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Prostate Cancer Network the Netherlands, 1066 CX Amsterdam, The Netherlands
- Department of Urology, Amsterdam University Medical Centers, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Hans Veerman
- Department of Urology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Prostate Cancer Network the Netherlands, 1066 CX Amsterdam, The Netherlands
- Department of Urology, Amsterdam University Medical Centers, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Derya Yakar
- Department of Radiology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands
| | - Laura S. Mertens
- Department of Urology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Stijn W. T. P. J. Heijmink
- Department of Radiology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Henk G. van der Poel
- Department of Urology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Prostate Cancer Network the Netherlands, 1066 CX Amsterdam, The Netherlands
- Department of Urology, Amsterdam University Medical Centers, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Pim J. van Leeuwen
- Department of Urology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Prostate Cancer Network the Netherlands, 1066 CX Amsterdam, The Netherlands
| | - Ivo G. Schoots
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
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Droghetti M, Bianchi L, Gaudiano C, Corcioni B, Rustici A, Piazza P, Beretta C, Balestrazzi E, Costa F, Feruzzi A, Salvador M, Giunchi F, Fiorentino M, Golfieri R, Schiavina R, Brunocilla E. Comparison of prostate cancer detection rate at targeted biopsy of hub and spoke centers mpMRI: experience matters. Minerva Urol Nephrol 2023; 75:42-49. [PMID: 35766364 DOI: 10.23736/s2724-6051.22.04932-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Latest changes in European guidelines on prostate cancer determined a widespread of multiparametric magnetic resonance imaging (mpMRI) even in less experienced centers due to an increased demand. This could decrease diagnostic accuracy of targeted biopsy (TB) since image interpretation can be challenging and requires adequate and supervised training. Therefore we aimed to evaluate the prostate cancer (PCa) detection rate on TB according to mpMRI center's volume and experience. METHODS We retrospectively analyzed data of 737 patients who underwent mpMRI-TB at our institution. Patients were stratified according to mpMRI center: Hub (high volume >100 exams/year with dedicated radiologists and supervised training) and Spoke center (low volume <100 exams/year without dedicated radiologists and/or supervised training). Detection rate of PCa at TB and possible predictors of clinically significant PCa (csPCa) at TB. Differences in detection rate were explored using Chi-square test. Predictors of csPCa were evaluated through uni and multivariable logistic regression. The adjustment for casemix included: age, PSA, mpMRI center, lesion's location, PSA density, PI-RADS score and index lesion's size. RESULTS Four hundred forty-nine (60.9%) and 288 (39.1%) patients underwent mpMRI at a Hub or Spoke center, respectively. Hub group had higher detection rate for both any (60.3% vs. 48.1%) and csPCa (46.9% vs 38.7%; all P≤0.001). After stratifying for PI-RADS score, Hub group had higher detection rate for PI-RADS score 3 (csPCA 25.2% vs. 15.7%; p 0.04) and 4 (csPCa 65.7% vs. 45.7%; P=0.001). At multivariable analyses, receiving an mpMRI scan at a Spoke center was an independent predictor for csPCa on TB (OR 0.65; P=0.04). CONCLUSIONS mpMRI performed in Hub centers provided a significantly higher PCa yield on TB. A dedicated team of experienced radiologist, a supervised training for mpMRI and a central revision of mpMRI performed in non-experienced centres are essential to avoid unnecessary and potentially harmful procedures.
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Affiliation(s)
- Matteo Droghetti
- Division of Urology, IRCCS University Hospital of Bologna, Bologna, Italy -
| | - Lorenzo Bianchi
- Division of Urology, IRCCS University Hospital of Bologna, Bologna, Italy
| | - Caterina Gaudiano
- Department of Radiology, IRCCS University Hospital of Bologna, Bologna, Italy
| | - Beniamino Corcioni
- Department of Radiology, IRCCS University Hospital of Bologna, Bologna, Italy
| | - Arianna Rustici
- Department of Radiology, IRCCS University Hospital of Bologna, Bologna, Italy
| | - Pietro Piazza
- Division of Urology, IRCCS University Hospital of Bologna, Bologna, Italy
| | - Carlo Beretta
- Division of Urology, IRCCS University Hospital of Bologna, Bologna, Italy
| | | | - Francesco Costa
- Division of Urology, IRCCS University Hospital of Bologna, Bologna, Italy
| | - Alberto Feruzzi
- Division of Urology, IRCCS University Hospital of Bologna, Bologna, Italy
| | - Marco Salvador
- Division of Urology, IRCCS University Hospital of Bologna, Bologna, Italy
| | - Francesca Giunchi
- Department of Pathology, IRCCS University Hospital of Bologna, Bologna, Italy
| | | | - Rita Golfieri
- Department of Radiology, IRCCS University Hospital of Bologna, Bologna, Italy
| | - Riccardo Schiavina
- Division of Urology, IRCCS University Hospital of Bologna, Bologna, Italy
| | - Eugenio Brunocilla
- Division of Urology, IRCCS University Hospital of Bologna, Bologna, Italy
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20
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Droghetti M, Bianchi L, Beretta C, Balestrazzi E, Costa F, Feruzzi A, Piazza P, Roveroni C, Gaudiano C, Corcioni B, Giunchi F, Fiorentino M, Golfieri R, Schiavina R, Brunocilla E. Site-specific concordance of targeted and systematic biopsy cores at the index lesion on multiparametric magnetic resonance: can we spare the double-tap? World J Urol 2023; 41:27-33. [PMID: 36471133 DOI: 10.1007/s00345-022-04229-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 11/17/2022] [Indexed: 12/12/2022] Open
Abstract
PURPOSE To define the impact of systematic biopsy (SB) cores directed in the same area of index lesion in patients undergoing targeted biopsy (TB) and SB for prostate cancer (PCa) suspicion. METHODS We retrospectively analyzed data of biopsy-naïve patients with one single suspicious lesion at mpMRI who underwent TB plus SB at our institution between January 2015 and September 2021. A convenient sample of 336 patients was available for our analyses. The primary outcome was to evaluate the impact of overlapping SB cores directed to the index lesion at mpMRI. The secondary outcome was to evaluate the SB cores concordance in terms of highest Gleason Score Detection with TB cores. RESULTS 56% of patients were found to have site-specific concordance. SB cores determined disease upgrade in 22.1% patients. Thirty-one (16.4%) site-concordant patients experienced upgrade through overlapping SB cores, while 149 (79.3%) had no benefit by SB cores, and 8 (4.3%) patients had the worst ISUP at TB cores. 50% of the patients with negative-TB were upgraded to insignificant PCa, and 17.5% was upgraded from negative to unfavorable-intermediate- or high-risk PCa. Overall, 14 (19.4%) patients were also upgraded from ISUP 1 on TB to csPCa, with 28.5% of these harboring high-risk PCa. In csPCas at TB, 9 (12.5%) patients were upgraded from intermediate- to high-risk disease by SB. CONCLUSIONS TB alone consents to identify worst ISUP PCa in vast majority of patients scheduled for biopsy. A non-negligible number of patients are upgraded via-SB cores, including also index lesion overlapping cores. Omitting these cores might lead to a suboptimal patient management.
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Affiliation(s)
- Matteo Droghetti
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Pelagio Palagi 9, 40138, Bologna, Italy.
| | - Lorenzo Bianchi
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Pelagio Palagi 9, 40138, Bologna, Italy
| | - Carlo Beretta
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Pelagio Palagi 9, 40138, Bologna, Italy
| | - Eleonora Balestrazzi
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Pelagio Palagi 9, 40138, Bologna, Italy
| | - Francesco Costa
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Pelagio Palagi 9, 40138, Bologna, Italy
| | - Alberto Feruzzi
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Pelagio Palagi 9, 40138, Bologna, Italy
| | - Pietro Piazza
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Pelagio Palagi 9, 40138, Bologna, Italy
| | - Carlo Roveroni
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Pelagio Palagi 9, 40138, Bologna, Italy
| | - Caterina Gaudiano
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Beniamino Corcioni
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Francesca Giunchi
- Department of Pathology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | | | - Rita Golfieri
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Riccardo Schiavina
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Pelagio Palagi 9, 40138, Bologna, Italy
| | - Eugenio Brunocilla
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Pelagio Palagi 9, 40138, Bologna, Italy
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21
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Ceccariglia F, Cercenelli L, Badiali G, Marcelli E, Tarsitano A. Application of Augmented Reality to Maxillary Resections: A Three-Dimensional Approach to Maxillofacial Oncologic Surgery. J Pers Med 2022; 12:jpm12122047. [PMID: 36556268 PMCID: PMC9785494 DOI: 10.3390/jpm12122047] [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: 11/07/2022] [Revised: 12/03/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022] Open
Abstract
In the relevant global context, although virtual reality, augmented reality, and mixed reality have been emerging methodologies for several years, only now have technological and scientific advances made them suitable for revolutionizing clinical care and medical settings through the provision of advanced features and improved healthcare services. Over the past fifteen years, tools and applications using augmented reality (AR) have been designed and tested in the context of various surgical and medical disciplines, including maxillofacial surgery. The purpose of this paper is to show how a marker-less AR guidance system using the Microsoft® HoloLens 2 can be applied in mandible and maxillary demolition surgery to guide maxillary osteotomies. We describe three mandibular and maxillary oncologic resections performed during 2021 using AR support. In these three patients, we applied a marker-less tracking method based on recognition of the patient's facial profile. The surgeon, using HoloLens 2 smart glasses, could see the virtual surgical planning superimposed on the patient's anatomy. We showed that performing osteotomies under AR guidance is feasible and viable, as demonstrated by comparison with osteotomies performed using CAD-CAM cutting guides. This technology has advantages and disadvantages. However, further research is needed to improve the stability and robustness of the marker-less tracking method applied to patient face recognition.
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Affiliation(s)
- Francesco Ceccariglia
- Oral and Maxillo-Facial Surgery Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy
- Maxillofacial Surgery Unit, Department of Biomedical and Neuromotor Science, University of Bologna, 40138 Bologna, Italy
- Correspondence: ; Tel.: +39-051-2144197
| | - Laura Cercenelli
- eDimes Lab-Laboratory of Bioengineering, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40138 Bologna, Italy
| | - Giovanni Badiali
- Oral and Maxillo-Facial Surgery Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy
- Maxillofacial Surgery Unit, Department of Biomedical and Neuromotor Science, University of Bologna, 40138 Bologna, Italy
| | - Emanuela Marcelli
- eDimes Lab-Laboratory of Bioengineering, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40138 Bologna, Italy
| | - Achille Tarsitano
- Oral and Maxillo-Facial Surgery Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy
- Maxillofacial Surgery Unit, Department of Biomedical and Neuromotor Science, University of Bologna, 40138 Bologna, Italy
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22
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Bianchi L, Cercenelli L, Bortolani B, Piazza P, Droghetti M, Boschi S, Gaudiano C, Carpani G, Chessa F, Lodi S, Tartarini L, Bertaccini A, Golfieri R, Marcelli E, Schiavina R, Brunocilla E. 3D renal model for surgical planning of partial nephrectomy: A way to improve surgical outcomes. Front Oncol 2022; 12:1046505. [PMID: 36338693 PMCID: PMC9634646 DOI: 10.3389/fonc.2022.1046505] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 10/07/2022] [Indexed: 09/13/2023] Open
Abstract
OBJECTIVE to evaluate the impact of 3D model for a comprehensive assessment of surgical planning and quality of partial nephrectomy (PN). MATERIALS AND METHODS 195 patients with cT1-T2 renal mass scheduled for PN were enrolled in two groups: Study Group (n= 100), including patients referred to PN with revision of both 2D computed tomography (CT) imaging and 3D model; Control group (n= 95), including patients referred to PN with revision of 2D CT imaging. Overall, 20 individuals were switched to radical nephrectomy (RN). The primary outcome was the impact of 3D models-based surgical planning on Trifecta achievement (defined as the contemporary absence of positive surgical margin, major complications and ≤30% postoperative eGFR reduction). The secondary outcome was the impact of 3D models on surgical planning of PN. Multivariate logistic regressions were used to identify predictors of selective clamping and Trifecta's achievement in patients treated with PN (n=175). RESULTS Overall, 73 (80.2%) patients in Study group and 53 (63.1%) patients in Control group achieved the Trifecta (p=0.01). The preoperative plan of arterial clamping was recorded as clampless, main artery and selective in 22 (24.2%), 22 (24.2%) and 47 (51.6%) cases in Study group vs. 31 (36.9%), 46 (54.8%) and 7 (8.3%) cases in Control group, respectively (p<0.001). At multivariate logistic regressions, the use of 3D model was found to be independent predictor of both selective or super-selective clamping and Trifecta's achievement. CONCLUSION 3D-guided approach to PN increase the adoption of selective clamping and better predict the achievement of Trifecta.
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Affiliation(s)
- Lorenzo Bianchi
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Università degli studi di Bologna, Bologna, Italy
| | - Laura Cercenelli
- eDIMES Lab - Laboratory of Bioengineering, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Barbara Bortolani
- eDIMES Lab - Laboratory of Bioengineering, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Pietro Piazza
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Matteo Droghetti
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Sara Boschi
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Caterina Gaudiano
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Giulia Carpani
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Francesco Chessa
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Università degli studi di Bologna, Bologna, Italy
| | - Simone Lodi
- eDIMES Lab - Laboratory of Bioengineering, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Lorenzo Tartarini
- eDIMES Lab - Laboratory of Bioengineering, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Alessandro Bertaccini
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Università degli studi di Bologna, Bologna, Italy
| | - Rita Golfieri
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Emanuela Marcelli
- eDIMES Lab - Laboratory of Bioengineering, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Riccardo Schiavina
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Università degli studi di Bologna, Bologna, Italy
| | - Eugenio Brunocilla
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Università degli studi di Bologna, Bologna, Italy
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23
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Ciccarese F, Corcioni B, Bianchi L, De Cinque A, Paccapelo A, Galletta GL, Schiavina R, Brunocilla E, Golfieri R, Gaudiano C. Clinical Application of the New Prostate Imaging for Recurrence Reporting (PI-RR) Score Proposed to Evaluate the Local Recurrence of Prostate Cancer after Radical Prostatectomy. Cancers (Basel) 2022; 14:cancers14194725. [PMID: 36230647 PMCID: PMC9562904 DOI: 10.3390/cancers14194725] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 09/22/2022] [Accepted: 09/26/2022] [Indexed: 11/16/2022] Open
Abstract
Background: We investigated the diagnostic accuracy of the new Prostate Imaging for Recurrence Reporting (PI-RR) score and its inter-observer variability. Secondly, we compared the detection rate of PI-RR and PET and analyzed the correlation between Prostate Specific Antigen (PSA) levels and the PI-RR score. Methods: We included in the analysis 134 patients submitted to multiparametric magnetic resonance imaging for suspected local recurrence. The images were independently reviewed by two radiologists, assigning a value from 1 to 5 to the PI-RR score. Inter-observer agreement and diagnostic accuracy of the PI-RR score (compared to histopathological data, available for 19 patients) were calculated. The detection rate was compared to those of choline PET/CT (46 patients) and PSMA PET/CT (22 patients). The distribution of the PSA values in relation to the PI-RR scores was also analyzed. Results: The accuracy of the PI-RR score was 68.4%. The reporting agreement was excellent (K = 0.884, p < 0.001). The PI-RR showed a higher detection rate than choline PET/CT (69.6% versus 19.6%) and PSMA PET-CT (59.1% versus 22.7%). The analysis of the PSA distribution documented an increase in the PI-RR score as the PSA value increased. Conclusion: The excellent reproducibility of the PI-RR score supports its wide use in the clinical practice to standardize recurrence reporting. The detection rate of PI-RR was superior to that of PET, but was linked to the PSA level.
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Affiliation(s)
- Federica Ciccarese
- Department of Radiology, IRCSS Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy
- Correspondence:
| | - Beniamino Corcioni
- Department of Radiology, IRCSS Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy
| | - Lorenzo Bianchi
- Division of Urology, Department of Urology, IRCCS University Hospital of Bologna, 40138 Bologna, Italy
| | - Antonio De Cinque
- Department of Radiology, IRCSS Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy
| | - Alexandro Paccapelo
- Department of Radiology, IRCSS Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy
| | - Giovanni Luca Galletta
- Department of Radiology, IRCSS Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy
| | - Riccardo Schiavina
- Division of Urology, Department of Urology, IRCCS University Hospital of Bologna, 40138 Bologna, Italy
| | - Eugenio Brunocilla
- Division of Urology, Department of Urology, IRCCS University Hospital of Bologna, 40138 Bologna, Italy
| | - Rita Golfieri
- Department of Radiology, IRCSS Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy
| | - Caterina Gaudiano
- Department of Radiology, IRCSS Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy
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24
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The intraoperative use of augmented and mixed reality technology to improve surgical outcomes: A systematic review. Int J Med Robot 2022; 18:e2450. [DOI: 10.1002/rcs.2450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 07/23/2022] [Accepted: 07/27/2022] [Indexed: 11/07/2022]
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25
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Veerman H, Boellaard TN, van der Eijk JA, Sluijter JH, Roeleveld TA, van der Sluis TM, Nieuwenhuijzen JA, Wit E, van Alphen MJA, van Veen RLP, Vis AN, van der Poel HG, van Leeuwen PJ. Development and clinical applicability of MRI-based 3D prostate models in the planning of nerve-sparing robot-assisted radical prostatectomy. J Robot Surg 2022; 17:509-517. [PMID: 35819591 DOI: 10.1007/s11701-022-01443-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 06/26/2022] [Indexed: 11/26/2022]
Abstract
The interpretation of conventional MRI may be limited by the two-dimensional presentation of the images. To develop patient-specific MRI prostate-based virtual and three-dimensional (3D)-printed models. To assess the association between 3D imaging and the pathological outcome of RARP specimen. To assess the clinical applicability of 3D models to guide nerve-sparing robot-assisted radical prostatectomy (RARP). We created virtual 3D and 3D-printed 3D models of 20 prostate cancer patients retrospectively. A comparison was made between conventional MRI and 3D-reconstructed images. The concordance between tumour lesion location in 3D models and pathology reporting of RARP specimens was assessed. Seven urologists assessed the side-specific extent of nerve-sparing based on (1) conventional MR images, (2) virtual 3D models, and (3) 3D-printed models. Clinically relevant changes in nerve-sparing and the absolute agreement between observers was analyzed using the Chi-square test and intra-class correlation coefficient (ICC). The index lesion was correctly visualized in 19/20 (95%) 3D models and the expected location of extraprostatic extension was correctly visualized in all 3D models. Clinically relevant changes in the planned extent of nerve-sparing between MRI and virtual 3D models and MRI and 3D-printed models were found in 25% and 26%. The ICC of the planned extent of nerve-sparing between urologists was 0.40 (95% CI 0.28-0.55) for conventional MRI, 0.52 (95% CI 0.39-0.66) for virtual 3D models and 0.58 (95% CI 0.45-0.71) for 3D-printed models. 3D models of the MRI prostate to guide RARP could aid urologists in the planning of nerve-sparing surgery as shown by a higher inter-observer agreement.
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Affiliation(s)
- Hans Veerman
- Department of Urology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands.
- Department of Urology, Amsterdam University Medical Centers, Location Boelelaan, Amsterdam, The Netherlands.
- Prostate Cancer Network the Netherlands, Amsterdam, The Netherlands.
| | - Thierry N Boellaard
- Department of Radiology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Jari A van der Eijk
- Department of Urology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands
- Verwelius 3D Lab, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Judith H Sluijter
- Department of Urology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands
- Verwelius 3D Lab, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Ton A Roeleveld
- Prostate Cancer Network the Netherlands, Amsterdam, The Netherlands
- Department of Urology, Noord-West Ziekenhuisgroep, Alkmaar, The Netherlands
| | - Tim M van der Sluis
- Department of Urology, Amsterdam University Medical Centers, Location Boelelaan, Amsterdam, The Netherlands
- Prostate Cancer Network the Netherlands, Amsterdam, The Netherlands
| | - Jakko A Nieuwenhuijzen
- Department of Urology, Amsterdam University Medical Centers, Location Boelelaan, Amsterdam, The Netherlands
- Prostate Cancer Network the Netherlands, Amsterdam, The Netherlands
| | - Esther Wit
- Department of Urology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands
- Prostate Cancer Network the Netherlands, Amsterdam, The Netherlands
| | - Maarten J A van Alphen
- Verwelius 3D Lab, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Robert L P van Veen
- Verwelius 3D Lab, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - André N Vis
- Department of Urology, Amsterdam University Medical Centers, Location Boelelaan, Amsterdam, The Netherlands
- Prostate Cancer Network the Netherlands, Amsterdam, The Netherlands
| | - Henk G van der Poel
- Department of Urology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands
- Department of Urology, Amsterdam University Medical Centers, Location Boelelaan, Amsterdam, The Netherlands
- Prostate Cancer Network the Netherlands, Amsterdam, The Netherlands
| | - Pim J van Leeuwen
- Department of Urology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands
- Prostate Cancer Network the Netherlands, Amsterdam, The Netherlands
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The impact of 3D models on positive surgical margins after robot-assisted radical prostatectomy. World J Urol 2022; 40:2221-2229. [PMID: 35790535 DOI: 10.1007/s00345-022-04038-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 05/03/2022] [Indexed: 10/17/2022] Open
Abstract
PURPOSE To evaluate the role of 3D models on positive surgical margin rate (PSM) rate in patients who underwent robot-assisted radical prostatectomy (RARP) compared to a no-3D control group. Secondarily, we evaluated the postoperative functional and oncological outcomes. METHODS Prospective study enrolling patients with localized prostate cancer (PCa) undergoing RARP with mp-MRI-based 3D model reconstruction, displayed in a cognitive or augmented-reality fashion, at our Centre from 01/2016 to 01/2020. A control no-3D group was extracted from the last two years of our Institutional RARP database. PSMr between the two groups was evaluated and multivariable linear regression (MLR) models were applied. Finally, Kaplan-Meier estimator was used to calculate biochemical recurrence at 12 months after the intervention. RESULTS 160 patients were enrolled in the 3D Group, while 640 were selected for the Control Group. A more conservative NS approach was registered in the 3D Group (full NS 20.6% vs 12.7%; intermediate NS 38.1% vs 38.0%; standard NS 41.2% vs 49.2%; p = 0.02). 3D Group patients had lower PSM rates (25 vs. 35.1%, p = 0.01). At MLR models, the availability of 3D technology (p = 0.005) and the absence of extracapsular extension (ECE, p = 0.004) at mp-MRI were independent predictors of lower PSMr. Moreover, 3D model represented a significant protective factor for PSM in patients with ECE or pT3 disease. CONCLUSION The availability of 3D models during the intervention allows to modulate the NS approach, limiting the occurrence of PSM, especially in patients with ECE at mp-MRI or pT3 PCa.
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Droghetti M, Porreca A, Bianchi L, Piazza P, Giampaoli M, Casablanca C, D'Agostino D, Cochetti G, Romagnoli D, Schiavina R, Brunocilla E. Long-term outcomes of Holmium laser enucleation of prostate and predictive model for symptom recurrence. Prostate 2022; 82:203-209. [PMID: 34694647 DOI: 10.1002/pros.24259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 09/20/2021] [Accepted: 10/04/2021] [Indexed: 11/10/2022]
Abstract
INTRODUCTION AND OBJECTIVES Holmium laser enucleation of prostate (HoLEP) represents one of the most studied surgical techniques for benign prostatic hyperplasia (BPH). Its efficacy in symptom relief has been widely depicted. However, few evidence is available regarding the possible predictors of symptom recurrence. We aimed to evaluate long-term outcomes, symptom recurrence rate, and predictors in patients that underwent HoLEP. MATERIALS AND METHODS We retrospectively analyzed data from patients that consecutively underwent HoLEP for BPH from 2012 to 2015 at two tertiary referral centers. Functional outcomes were evaluated by uroflowmetry parameters and International Prostate Symptom Score (IPSS) questionnaire administration at follow-up visits at 12, 24, and 60 months. The primary outcome was the symptomatic patients' rate presenting lower urinary tract symptoms (LUTS) after 60 months from surgery, defined as in case of one or more of the following: IPSS more than 7, post voidal residue (PVR) more than 20 ml, need for medical therapy for LUTS or redo surgery for bladder outlet obstruction. Multivariable logistic regression analyses evaluated predictors for being symptomatic at follow-up. Covariates consisted of: preoperative peak flow rate (PFR), PVR, and IPSS, prostate volume, age (all as continuous), and surgical technique. RESULTS A total of 567 patients were available for our analyses. Median prostate volume was 80cc, with a median PFR of 8 ml/s and median PVR of 100cc. One hundred and twenty-five (22%) patients were found to be symptomatic at follow-up. Redo surgery was needed for 25 (4.4%) patients. After adjusting for possible confounders, an increase in preoperative PVR (odds ratio [OR] 1.005) and IPSS (OR 1.12) resulted as independent predictors for symptom recurrence (all p < 0.001). CONCLUSIONS HoLEP can provide durable symptom relief regardless of the chosen technique. Patients with an important preoperative symptom burden or a high PVR should be carefully counseled on the risk of symptom recurrence.
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Affiliation(s)
- Matteo Droghetti
- Division of Urology, IRCCS Azienda ospedaliero universitaria di Bologna, Bologna, Italy
| | - Angelo Porreca
- Department of Urology, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | - Lorenzo Bianchi
- Division of Urology, IRCCS Azienda ospedaliero universitaria di Bologna, Bologna, Italy
| | - Pietro Piazza
- Division of Urology, IRCCS Azienda ospedaliero universitaria di Bologna, Bologna, Italy
| | - Marco Giampaoli
- Division of Urology, IRCCS Azienda ospedaliero universitaria di Bologna, Bologna, Italy
| | - Carlo Casablanca
- Division of Urology, IRCCS Azienda ospedaliero universitaria di Bologna, Bologna, Italy
| | | | | | | | - Riccardo Schiavina
- Division of Urology, IRCCS Azienda ospedaliero universitaria di Bologna, Bologna, Italy
| | - Eugenio Brunocilla
- Division of Urology, IRCCS Azienda ospedaliero universitaria di Bologna, Bologna, Italy
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