Purpose: To evaluate a unique method of extended mentorship in robot-assisted laparoscopic prostatectomy (RALP) at VA San Diego Healthcare System (VASDHS). As novel robotic technologies diffuse into surgical practice, developing safe apprenticeships remains a challenge.
Patients And Methods: Between October 2008 and November 2010, 90 RALPs were prospectively divided into three phases: Proctored, Independent, and Instructor. During the first 30 Proctored cases, an experienced robotic surgeon from the affiliated university-based hospital mentored a robotic novice attending surgeon with previous open retropubic and laparoscopic experience. The novice surgeon gained proficiency during the next 30 Independent cases, then introduced increasing resident participation during the last Instructor 30 cases. Patient demographics, tumor characteristics, operative measures, and length of hospital stay were compared. Functional outcomes were assessed using the Sexual Health Inventory for Men and an incontinence questionnaire. We used independent t test, analysis of variance, Mann-Whitney U test, Fisher exact test, Kruskal-Wallis, and Pearson chi-square tests for comparison in these patient populations.
Results: All groups were similar in age, clinical T-stage, and D'Amico Risk Group. Preoperative prostate-specific antigen levels were significantly higher (P<0.001) and prostates were larger (P=0.044) in the middle Instructor Phase. The early Proctored Phase had the lowest Gleason scores and the lowest body mass indexes. Despite these differences favoring the Proctored Phase, immediate operative outcomes were similar with respect to safety, oncologic, and functional parameters.
Conclusions: In the VASDHS cohort, RALPs were performed safely under the supervision of a newly proctored attending surgeon. Although longer follow-up could reveal subtle differences between groups, overall follow-up was similar to most existing studies. Extended mentorship by an experienced surgeon is a viable model for achieving proficiency in RALP in a setting such as a VA hospital affiliated with an academic hospital and increasing access to care for the veteran patient population.
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http://dx.doi.org/10.1089/end.2014.0138 | DOI Listing |
J Vasc Interv Radiol
January 2025
Department of Vascular and Interventional Radiology, Singapore General Hospital, Outram Rd, Singapore 169608, Singapore.
Purpose: To investigate the feasibility of a robotic system with artificial intelligence-based lesion detection and path planning for CT-guided biopsy, compared to the conventional freehand technique.
Materials And Methods: Eight nodules within an abdominal phantom, incorporating the simulated vertebrae and ribs, were designated as targets. A robotic system was used for lesion detection, trajectory generation, and needle-holder positioning.
Sci Rep
January 2025
Department of Urology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Prostate cancer (PCa) is one of the most common cancers among men worldwide, and robot-assisted radical prostatectomy (RARP) is a widely used treatment for localized PCa. Achieving pentafecta outcomes, which include continence, potency, cancer control, free surgical margins, and no major complications, is a critical measure of surgical success and long-term prognosis. However, predicting these outcomes remains challenging.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Institute of Robotics, Autonomous System and Sensing, School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK.
Knee joint disorders pose a significant and growing challenge to global healthcare systems. Recent advancements in robotics, sensing technologies, and artificial intelligence have driven the development of robot-assisted therapies, reducing the physical burden on therapists and improving rehabilitation outcomes. This study presents a novel knee exoskeleton designed for safe and adaptive rehabilitation, specifically targeting bed-bound stroke patients to enable early intervention.
View Article and Find Full Text PDFSurg Today
January 2025
Department of Gastroenterological Surgery, Hyogo Medical University, 1-1 Mukogawa, Nishinomiya, Hyogo, 663-8501, Japan.
Purpose: The double-flap technique (DFT) is an anti-reflux reconstruction procedure performed after proximal gastrectomy (PG), but its complexity and high incidence of anastomotic stenosis are problematic. We conducted this study to demonstrate the efficacy of robot-assisted DFT, with refinements, to address these issues.
Methods: Surgical outcomes were compared between the following procedures modified over time at our institution: conventional open DFT (group O, n = 16); early robotic DFT (group RE, n = 19), which follows the conventional open PG approach; and late robotic DFT (group RL, n = 21), which incorporates refinements to the early robotic DFT technique by exploiting more of the robotic capabilities available.
Polymers (Basel)
December 2024
School of Mechanical and Electronic Engineering, Northeastern University, Shenyang 110819, China.
In this study, a fuzzy adaptive impedance control method integrating the backstepping control for the PAM elbow exoskeleton was developed to facilitate robot-assisted rehabilitation tasks. The proposed method uses fuzzy logic to adjust impedance parameters, thereby optimizing user adaptability and reducing interactive torque, which are major limitations of traditional impedance control methods. Furthermore, a repetitive learning algorithm and an adaptive control strategy were incorporated to improve the performance of position accuracy, addressing the time-varying uncertainties and nonlinear disturbances inherent in the exoskeleton.
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