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Purpose: To investigate the effect of tumor and nontumor related parameters on perioperative outcomes of robotic partial nephrectomy (RPN).
Patients And Methods: Patients who underwent RPN for a localized renal tumor at 2 institutions between June 2010 and November 2016 were reviewed. RENAL and Mayo adhesive probability (MAP) scores were calculated and information on comorbid conditions including ASA score, performance status, Charlson's comorbidity index (CCI), and history of cardiovascular disease was collected. Correlations between each variable and warm ischemia time, estimated blood loss (EBL), operative time, change in estimated glomerular filtration rate, and length of hospital stay were assessed. Logistic regression analyses were performed to identify the best predictors of overall complications, major complications, risk of conversion, and Trifecta achievement.
Results: A total of 500 patients were included. RENAL score was found to have a statistically significant (P<0.05) correlation with warm ischemia time, EBL, and change in estimated glomerular filtration rate. MAP score showed significant association (P<0.05) with operative time and EBL. CCI had a significant correlation (P<0.05) with length of hospital stay and postoperative complications. In multivariable analyses, MAP score as a continuous variable (OR = 7.66; P<0.001) and MAP risk group stratification (OR = 3.29; P = 0.005) were independent predictors of the risk of conversion. Major complications were significantly associated with the cardiovascular disease in both univariable (OR = 2.35; P = 0.01) and multivariable analysis (OR = 4.52, P = 0.01). Finally, the MAP score as a continuous variable was an independent factor of Trifecta achievement (OR = 0.56; P = 0.04).
Conclusion: Patients related factors were the most important determinants of postoperative complications after RPN. RENAL and MAP scores had some influence on intraoperative parameters.
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http://dx.doi.org/10.1016/j.urolonc.2018.04.005 | DOI Listing |
Healthc Technol Lett
December 2024
Hamlyn Centre for Robotic Surgery, Department of Surgery and Cancer Imperial College London London UK.
The estimation of the pose of surgical instruments is important in Robot-assisted Minimally Invasive Surgery (RMIS) to assist surgical navigation and enable autonomous robotic task execution. The performance of current instrument pose estimation methods deteriorates significantly in the presence of partial tool visibility, occlusions, and changes in the surgical scene. In this work, a vision-based framework is proposed for markerless estimation of the 6DoF pose of surgical instruments.
View Article and Find Full Text PDFJBJS Essent Surg Tech
December 2024
Department of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio.
Background: Unicompartmental knee arthroplasty (UKA) procedures have become much more common in the United States in recent years, with >40,000 UKAs performed annually. However, it is estimated that 10% to 40% of UKAs fail and thus require conversion to total knee arthroplasty (TKA). In the field of total joint arthroplasty, robotic-assisted surgeries have demonstrated advantages such as better accuracy and precision of implant positioning and improved restoration of a neutral mechanical axis.
View Article and Find Full Text PDFWorld J Urol
December 2024
Department of Urology, Peking University First Hospital, Institute of Urology, Peking University, National Urological Cancer Center, Beijing, 100034, China.
Objective: To develop a three-dimensional (3D) image based extended tumor plane technique for robotic-assisted partial nephrectomy (RAPN).
Methods: We prospectively enrolled patients with a local renal tumor for RAPN between March 2019 and Mar 2022. 3D virtual model was reconstructed based on the computed tomography urography.
J Strength Cond Res
December 2024
Department of Movement Sciences, KU Leuven, Leuven, Belgium.
Rebelo, A, Loturco, I, Pereira, JR, Martinho, DV, Valente-dos-Santos, J, and Broek, GV. Impact of congested match schedules on countermovement jump metrics in elite volleyball players. J Strength Cond Res XX(X): 000-000, 2024-The aim of this study was to assess the impact of a congested match schedule on various countermovement jump (CMJ) metrics recorded across the braking, transfer, propulsive, and flight phases of the CMJ.
View Article and Find Full Text PDFCureus
November 2024
Gastroenterological Surgery, Saitama Medical University International Medical Center, Hidaka, JPN.
The Senhance robotic system (Asensus Surgical, Durham, NC, USA) is an innovative platform for minimally invasive surgery. It enables surgeons to perform precise and cost-effective procedures using reusable instruments and has advanced features such as haptic feedback and eye-tracking camera control. Herein, we present the first application of the "double bipolar method" (DBM) in a Senhance-assisted laparoscopic partial cystectomy utilizing 3 mm Maryland bipolar instruments.
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