Statin use and association with postoperative estimated glomerular filtration rates in patients undergoing robotic-assisted partial nephrectomy

2021 ◽  
Author(s):  
Daniela A Haehn ◽  
Essa M. Bajalia ◽  
Giovani A. Gonzalez Albo ◽  
Colleen S Thomas Ball ◽  
David D Thiel
Keyword(s):  
Glomerular Filtration ◽  
Partial Nephrectomy ◽  
Robotic Assisted ◽  
Estimated Glomerular Filtration Rates ◽  
Robotic Assisted Partial Nephrectomy ◽  
Statin Use

Clinical experience of using virtual 3D modelling for pre and intraoperative guidance during robotic-assisted partial nephrectomy

2021 ◽  
pp. 205141582110002
Author(s):  
Lorenz Berger ◽  
Aziz Gulamhusein ◽  
Eoin Hyde ◽  
Matt Gibb ◽  
Teele Kuusk ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Partial Nephrectomy ◽  
Surgical Outcome ◽  
Prospective Cohort ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Dimensional Model ◽  
Three Dimensional Model ◽  
Robotic Assisted ◽  
Robotic Assisted Partial Nephrectomy

Objective: Surgical planning for robotic-assisted partial nephrectomy is widely performed using two-dimensional computed tomography images. It is unclear to what extent two-dimensional images fully simulate surgical anatomy and case complexity. To overcome these limitations, software has been developed to reconstruct three-dimensional models from computed tomography data. We present the results of a feasibility study, to explore the role and practicality of virtual three-dimensional modelling (by Innersight Labs) in the context of surgical utility for preoperative and intraoperative use, as well as improving patient involvement. Methods: A prospective study was conducted on patients undergoing robotic-assisted partial nephrectomy at our high volume kidney cancer centre. Approval from a research ethics committee was obtained. Patient demographics and tumour characteristics were collected. Surgical outcome measures were recorded. The value of the three-dimensional model to the surgeon and patient was assessed using a survey. The prospective cohort was compared against a retrospective cohort and cases were individually matched using RENAL (radius, exophytic/endophytic, nearness to collecting system or sinus, anterior/posterior, location relative to polar lines) scores. Results: This study included 22 patients. Three-dimensional modelling was found to be safe for this prospective cohort and resulted in good surgical outcome measures. The mean (standard deviation) console time was 158.6 (35) min and warm ischaemia time was 17.3 (6.3) min. The median (interquartile range) estimated blood loss was 125 (50–237.5) ml. Two procedures were converted to radical nephrectomy due to the risk of positive margins during resection. The median (interquartile range) length of stay was 2 (2–3) days. No postoperative complications were noted and all patients had negative surgical margins. Patients reported improved understanding of their procedure using the three-dimensional model. Conclusion: This study shows the potential benefit of three-dimensional modelling technology with positive uptake from surgeons and patients. Benefits are improved perception of vascular anatomy and resection approach, and procedure understanding by patients. A randomised controlled trial is needed to evaluate the technology further. Level of evidence: 2b

scholarly journals Zero-ischemia robotic assisted partial nephrectomy – Preliminary experience in a single institution

2016 ◽  
Vol 27 (2) ◽  
pp. S12
Author(s):  
Yi-Chia Lin ◽  
Chao-Yen Ho ◽  
Te-Fu Tsai ◽  
Chung-Hsin Yeh ◽  
Guang-Dar Juang ◽  
...  
Keyword(s):  
Partial Nephrectomy ◽  
Single Institution ◽  
Robotic Assisted ◽  
Zero Ischemia ◽  
Robotic Assisted Partial Nephrectomy

Robotic-assisted partial nephrectomy challenge case

2018 ◽  
Vol 17 (7) ◽  
pp. e2400
Author(s):  
M. Covas Moschovas ◽  
R. Ferreira Coelho ◽  
G. Xavier Ebaid ◽  
L. Henrique Tanure
Keyword(s):  
Partial Nephrectomy ◽  
Robotic Assisted ◽  
Robotic Assisted Partial Nephrectomy

Complication rates and renal function after robotic-assisted partial nephrectomy in elderly vs young patients

2018 ◽  
Vol 17 (8) ◽  
pp. 251-252
Author(s):  
G. Primiceri ◽  
M. Marchioni ◽  
C. D’Orta ◽  
A. Rizzoli ◽  
P. Castellan ◽  
...  
Keyword(s):  
Renal Function ◽  
Partial Nephrectomy ◽  
Young Patients ◽  
Complication Rates ◽  
Robotic Assisted ◽  
Robotic Assisted Partial Nephrectomy
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