scholarly journals Robotic assistance in urological microsurgery: initial report of a successful in-vivo robot-assisted vasovasostomy

2007 ◽  
Vol 1 (2) ◽  
pp. 161-162 ◽  
Author(s):  
G. De Naeyer ◽  
P. Van Migem ◽  
P. Schatteman ◽  
P. Carpentier ◽  
E. Fonteyne ◽  
...  
Keyword(s):  
Robotic Assistance ◽  
Robot Assisted ◽  
Initial Report

scholarly journals Stereoelectroencephalography

Neurosurgery ◽  
2012 ◽  
Vol 72 (3) ◽  
pp. 353-366 ◽  
Author(s):  
Francesco Cardinale ◽  
Massimo Cossu ◽  
Laura Castana ◽  
Giuseppe Casaceli ◽  
Marco Paolo Schiariti ◽  
...  
Keyword(s):  
Interquartile Range ◽  
Entry Point ◽  
Target Point ◽  
Epileptogenic Zone ◽  
Localization Error ◽  
Drug Resistant ◽  
Robot Assisted ◽  
Data Set ◽  
Essential Information

Abstract BACKGROUND: Stereoelectroencephalography (SEEG) methodology, originally developed by Talairach and Bancaud, is progressively gaining popularity for the presurgical invasive evaluation of drug-resistant epilepsies. OBJECTIVE: To describe recent SEEG methodological implementations carried out in our center, to evaluate safety, and to analyze in vivo application accuracy in a consecutive series of 500 procedures with a total of 6496 implanted electrodes. METHODS: Four hundred nineteen procedures were performed with the traditional 2-step surgical workflow, which was modified for the subsequent 81 procedures. The new workflow entailed acquisition of brain 3-dimensional angiography and magnetic resonance imaging in frameless and markerless conditions, advanced multimodal planning, and robot-assisted implantation. Quantitative analysis for in vivo entry point and target point localization error was performed on a sub-data set of 118 procedures (1567 electrodes). RESULTS: The methodology allowed successful implantation in all cases. Major complication rate was 12 of 500 (2.4%), including 1 death for indirect morbidity. Median entry point localization error was 1.43 mm (interquartile range, 0.91-2.21 mm) with the traditional workflow and 0.78 mm (interquartile range, 0.49-1.08 mm) with the new one (P < 2.2 × 10−16). Median target point localization errors were 2.69 mm (interquartile range, 1.89-3.67 mm) and 1.77 mm (interquartile range, 1.25-2.51 mm; P < 2.2 × 10−16), respectively. CONCLUSION: SEEG is a safe and accurate procedure for the invasive assessment of the epileptogenic zone. Traditional Talairach methodology, implemented by multimodal planning and robot-assisted surgery, allows direct electrical recording from superficial and deep-seated brain structures, providing essential information in the most complex cases of drug-resistant epilepsy.

scholarly journals Simulation of in vivo dynamics during robot assisted joint movement

2014 ◽  
Vol 13 (1) ◽  
pp. 167 ◽  
Author(s):  
Evgenij Bobrowitsch ◽  
Andrea Lorenz ◽  
Nikolaus Wülker ◽  
Christian Walter
Keyword(s):  
Joint Movement ◽  
Robot Assisted

scholarly journals The Role of Tissue Slip Feedback in Robot-Assisted Surgery

2019 ◽  
Vol 13 (2) ◽  
Author(s):  
Natalie T. Burkhard ◽  
J. Ryan Steger ◽  
Mark R. Cutkosky
Keyword(s):  
User Study ◽  
Ex Vivo ◽  
Sensor Technology ◽  
Negative Consequences ◽  
Robot Assisted ◽  
Surgical Equipment ◽  
Tissue Manipulation ◽  
Slip Sensor ◽  
Robot Assisted Surgery

Slip, or accidental loss, of grasped biological tissue can have negative consequences in all types of surgery (open, laparoscopic, robot-assisted). This work focuses on slip in robot-assisted surgery (RAS) with the goal of improving the quality of grasping and tool–tissue interactions. We report on a survey of 112 RAS surgeons, the results of which support the value of detecting and reducing slip in a variety of procedures. We conducted validation tests using a thermal slip sensor in a surgical grasper on tissue in vivo and ex vivo. The results of the survey and validation informed a user study to assess whether tissue slip feedback can improve performance and reduce effort in a phantom tissue manipulation task. With slip feedback, experienced subjects were significantly faster to complete the task, dropped tissue less (3% versus 38%), and experienced decreased mental demands and situational stress. These results provide motivation to further develop the sensor technology and incorporate it in robotic surgical equipment.

Robot-assisted laparoscopic combined nephroureterectomy and cystoprostatectomy: an initial report and review of the literature

2011 ◽  
Vol 6 (2) ◽  
pp. 159-162 ◽  
Author(s):  
Justin O. Benabdallah ◽  
Lance J. Hampton ◽  
Georgi Guruli ◽  
B. Mayer Grob
Keyword(s):  
Review Of The Literature ◽  
Robot Assisted ◽  
Initial Report

scholarly journals Accuracy of robot-guided versus freehand fluoroscopy-assisted pedicle screw insertion in thoracolumbar spinal surgery

2017 ◽  
Vol 42 (5) ◽  
pp. E14 ◽  
Author(s):  
Granit Molliqaj ◽  
Bawarjan Schatlo ◽  
Awad Alaid ◽  
Volodymyr Solomiichuk ◽  
Veit Rohde ◽  
...  
Keyword(s):  
Pedicle Screw ◽  
Spinal Instrumentation ◽  
Pedicle Screws ◽  
Screw Placement ◽  
Robotic Assistance ◽  
Anatomical Landmarks ◽  
Pedicle Screw Placement ◽  
Robot Assisted ◽  
Screw Insertion ◽  
Freehand Technique

OBJECTIVEThe quest to improve the safety and accuracy and decrease the invasiveness of pedicle screw placement in spine surgery has led to a markedly increased interest in robotic technology. The SpineAssist from Mazor is one of the most widely distributed robotic systems. The aim of this study was to compare the accuracy of robot-guided and conventional freehand fluoroscopy-guided pedicle screw placement in thoracolumbar surgery.METHODSThis study is a retrospective series of 169 patients (83 women [49%]) who underwent placement of pedicle screw instrumentation from 2007 to 2015 in 2 reference centers. Pathological entities included degenerative disorders, tumors, and traumatic cases. In the robot-assisted cohort (98 patients, 439 screws), pedicle screws were inserted with robotic assistance. In the freehand fluoroscopy-guided cohort (71 patients, 441 screws), screws were inserted using anatomical landmarks and lateral fluoroscopic guidance. Patients treated before 2009 were included in the fluoroscopy cohort, whereas those treated since mid-2009 (when the robot was acquired) were included in the robot cohort. Since then, the decision to operate using robotic assistance or conventional freehand technique has been based on surgeon preference and logistics. The accuracy of screw placement was assessed based on the Gertzbein-Robbins scale by a neuroradiologist blinded to treatment group. The radiological slice with the largest visible deviation from the pedicle was chosen for grading. A pedicle breach of 2 mm or less was deemed acceptable (Grades A and B) while deviations greater than 2 mm (Grades C, D, and E) were classified as misplacements.RESULTSIn the robot-assisted cohort, a perfect trajectory (Grade A) was observed for 366 screws (83.4%). The remaining screws were Grades B (n = 44 [10%]), C (n = 15 [3.4%]), D (n = 8 [1.8%]), and E (n = 6 [1.4%]). In the fluoroscopy-guided group, a completely intrapedicular course graded as A was found in 76% (n = 335). The remaining screws were Grades B (n = 57 [12.9%]), C (n = 29 [6.6%]), D (n = 12 [2.7%]), and E (n = 8 [1.8%]). The proportion of non-misplaced screws (corresponding to Gertzbein-Robbins Grades A and B) was higher in the robot-assisted group (93.4%) than the freehand fluoroscopy group (88.9%) (p = 0.005).CONCLUSIONSThe authors’ retrospective case review found that robot-guided pedicle screw placement is a safe, useful, and potentially more accurate alternative to the conventional freehand technique for the placement of thoracolumbar spinal instrumentation.

scholarly journals A DROP-IN Beta Probe for Robot-Assisted 68Ga-PSMA Radioguided Surgery: First Ex Vivo Technology Evaluation Using Prostate Cancer Specimens

2020 ◽  
Author(s):  
Francesco Collamati ◽  
Matthias van OOsterom ◽  
Micol De Simoni ◽  
Riccardo Faccini ◽  
Marta Fischetti ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Lymph Nodes ◽  
Ex Vivo ◽  
Gamma Probe ◽  
Beta Particle ◽  
Radioguided Surgery ◽  
Robot Assisted ◽  
Psma Pet ◽  
Positive Lymph Nodes

Abstract Background: Recently, a flexible DROP-IN gamma-probe was introduced for robot-assisted radioguided surgery, using traditional low-energy SPECT-isotopes. In parallel, a novel approach to achieve sensitive radioguidance using beta-emitting PET-isotopes has been proposed. Integration of these two concepts would allow to exploit the use of PET-tracers during robot-assisted tumor-receptor-targeted. In this study, we’ve engineered and validated the performance of a novel DROP-IN beta-particle (DROP-INb) detector.Methods: Seven prostate cancer patients with PSMA-PET positive tumors received an additional intraoperative injection of ~70 MBq 68Ga-PSMA-11, followed by robot-assisted prostatectomy and extended pelvic lymph node dissection. The surgical specimens from these procedures were used to validate the performance of our DROP-INb probe prototype, with merged a scintillating detector with a housing optimized for a 12 mm trocar and prograsp instruments. Results: After optimization of the detector and probe housing via Monte Carlo simulations, the resulting DROP-INb probe prototype was tested in a robotic setting. In the ex vivo setting, the probe – positioned by the robot- was able to identify 68Ga-PSMA-11 containing hot-spots in the surgical specimens: signal-to-background (S/B) was > 5 when pathology confirmed that the tumor was located <1 mm below the specimen surface. 68Ga-PSMA-11 containing (and PET positive) lymph nodes, as found in two patients, were also confirmed with the DROP-INb probe (S/B>3). The rotational freedom of the DROP-IN design and the ability to manipulate the probe with the prograsp tool allowed the surgeon to perform autonomous beta tracing. Conclusions: This study demonstrates the feasibility of beta-radioguided surgery in a robotic context by means of a DROP-INb detector. When translated to an in vivo setting in the future, this technique could provide a valuable tool in detecting tumor remnants on the prostate surface and in confirmation of PSMA-PET positive lymph nodes.

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