2021
DOI: 10.1016/s0302-2838(21)01621-3
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Robot-assisted partial nephrectomy with 3D preoperative surgical planning: Video presentation of the florentine experience

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Cited by 2 publications
(3 citation statements)
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“…In recent years, the development of robotic surgery has made renal preservation safe and feasible in increasingly challenging cases (10). Moskowitz et al reported high efficacy, better oncologic outcome, greater overall and cardiovascular survival rate among patients with small renal masses (T1a) when submitted to nephron-sparing surgery (16).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In recent years, the development of robotic surgery has made renal preservation safe and feasible in increasingly challenging cases (10). Moskowitz et al reported high efficacy, better oncologic outcome, greater overall and cardiovascular survival rate among patients with small renal masses (T1a) when submitted to nephron-sparing surgery (16).…”
Section: Discussionmentioning
confidence: 99%
“…The evolution of robotic surgical techniques has improved peri-and postoperative results of nephron-sparing surgery, such as reduction of warm ischemia time (9,10), lesser conversion into open or radical surgery (11), less severe postoperative complications (12) and better postoperative renal function (11).…”
Section: Introductionmentioning
confidence: 99%
“…Although the search speed was accelerated, fewer variables were controlled making the risk map imperfect; Caprara 13 optimized the trajectory and size of the screw used for pedicle screw fixation using a genetic algorithm, but the limited restrictions on the access area led to imperfect optimization. Since preoperative planning is a complex problem that requires consideration of multiple constraints 14 : including endpoint accuracy and collision interference safety, Konietschke 15 proposed to optimise the preoperative pose of the robotic arm using a multi‐objective optimization approach, where the reachability and collision rate is objective functions for the MiroSurge robot and derive the optimal solution; Wang Wei 16 et al. used the dexterity as well as the collaboration space index as the objective function and used the NSGA‐ II algorithm for optimization and compared it with the preoperative planning obtained from the surgical experience to verify the feasibility of the optimization algorithm, but did not verify the effect of the change in the end position of the robotic arm on the joints of the robotic arm during the operation.…”
Section: Introductionmentioning
confidence: 99%