18.226.180.158=18.2
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Background: Airseal represents a new generation of valveless and barrier-free surgical trocars that enable a stable pneumoperitoneum with continuous smoke evacuation and carbon dioxide (CO) recirculation during surgery. The aim of the current study was to evaluate the potential advantages of the Airseal compared to a standard CO insufflator in the field of robotic partial nephrectomy (RPN).
Methods: Between October 2012 and April 2015, two cohorts of 122 consecutive patients with clinically localized renal cell carcinoma underwent RPN by a single surgeon, with the use of a standard CO pressure insufflator (Group A, 55 patients) or Airseal (Group B, 67 patients) and were prospectively compared.
Results: The two groups were similar in baseline, preoperative characteristics. The mean dimension of the lesion, as evaluated by contrast-enhanced CT scan, was 30 (median 28; IQR 2) and 39 mm (median 40; IQR 2) for Groups A and B, respectively (p < 0.05). The complexity of the treated tumors was similar, as indicated by the mean RENAL nephrometry score. Positive surgical margins rate was similar in both groups (3.6 vs 4.5 %, p = 0.8) as well as the need for postoperative blood transfusion (9.1 vs 4.5 %, p = 0.3) and the development of postoperative acute kidney injury (16.4 vs 10.4 %, p = 0.3). Mean operative time and warm ischemia time were significantly shorter in Group B. Moreover, a significant increase in the cases performed as "zero ischemia" was observed in Group B (7.3 vs 30 %, p < 0.01).
Conclusions: This is the first study comparing the Airseal with a standard CO insufflator system in the field of the RPN. The preliminary outcomes in terms of overall operative time, warm ischemia time and cases performed as "zero ischemia" are better with respect to standard insufflators. The feasibility, safety and efficacy of combining laser tumor enucleation with the valve-free insufflation systems should be evaluated.
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http://dx.doi.org/10.1007/s00464-016-5144-y | DOI Listing |
Front Robot AI
January 2025
Department of Materials and Production, Aalborg University, Aalborg, Denmark.
Object pose estimation is essential for computer vision applications such as quality inspection, robotic bin picking, and warehouse logistics. However, this task often requires expensive equipment such as 3D cameras or Lidar sensors, as well as significant computational resources. Many state-of-the-art methods for 6D pose estimation depend on deep neural networks, which are computationally demanding and require GPUs for real-time performance.
View Article and Find Full Text PDFInt J Urol
January 2025
Department of Urology, Nara Medical University, Kashihara, Nara, Japan.
Objective: We investigated the impact of intraoperative tumor capsule injury (TCI) during robot-assisted partial nephrectomy (RAPN) or laparoscopic partial nephrectomy (LPN) on oncological outcomes, as well as underlying factors of intraoperative TCI for improving surgical outcomes.
Methods: A total of 253 patients who underwent RAPN or LPN between 2010 and 2022 were retrospectively analyzed and were divided into two groups: non-TCI and TCI groups. The background was compared between two groups.
Humans excel at applying learned behavior to unlearned situations. A crucial component of this generalization behavior is our ability to compose/decompose a whole into reusable parts, an attribute known as compositionality. One of the fundamental questions in robotics concerns this characteristic: How can linguistic compositionality be developed concomitantly with sensorimotor skills through associative learning, particularly when individuals only learn partial linguistic compositions and their corresponding sensorimotor patterns? To address this question, we propose a brain-inspired neural network model that integrates vision, proprioception, and language into a framework of predictive coding and active inference on the basis of the free-energy principle.
View Article and Find Full Text PDFBJU Int
January 2025
Department of Urology, St. Josef Medical Center, University of Regensburg, Regensburg, Germany.
Objectives: To assess the feasibility of trial recruitment and confirm that retroperitoneal robotic partial nephrectomy (RRPN) has the same oncological efficacy as transperitoneal robotic partial nephrectomy (TRPN), with time advantages and less peri-operative morbidity, in a randomised controlled trial (RCT).
Patients And Methods: The study was designed as a single-centre, open-label, feasibility RCT. Patients with suspected localised renal cell carcinoma referred for robotic partial nephrectomy were randomised in a 1:1 ratio to receive either TRPN or RRPN.
Minim Invasive Ther Allied Technol
January 2025
University of Turin, Turin, Italy.
Endovascular interventions excel in treating cardiovascular diseases in a minimally invasive manner, showing improved outcomes over open techniques. However, challenges related to precise navigation - still relying on 2D fluoroscopy - persist. This review examines the role of robotics, highlighting commercial and research platforms, while exploring emerging trends like MRI compatibility, enhanced navigation, and autonomy.
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