Background: Despite potential benefits of robotic liver surgery, it is still considered a "development in progress" technique.

Methods: The outcomes of 14 patients undergoing robotic right hepatectomy were analyzed and compared with the results of 20 laparoscopic right hepatectomies consecutively performed by the same young surgeon.

Results: The overall mean operative time was less in robotic arm (425 ± 139 vs. 565.18 ± 183.73, p = 0.022) and the estimated blood loss was similar (335.15 ± 139.8 vs. 423.95 ± 205.15, p = 0.17); no blood transfusion was required. Two patients in robotic group and 5 in laparoscopic group (p = 0.454) underwent conversion to open surgery; the overall morbidity was 21.4 and 15% in studied arms, respectively (p = 0.634). Pathology reports showed a mean surgical margin of 26.02 ± 3.9 in robotic arm, 28.76 ± 4.6 for laparoscopic, (p = 0.079) and we achieved a R0 resection rate of 91.66 and 85%, respectively. Reoperation and 90-days mortality rate were both null in robotic arm. One patient in laparoscopic group was reoperated due to postoperative hemorrhage. One-year overall and disease free-survival rate were 92.3 and 84.6%, respectively in robotic arm and 90 and 85% in laparoscopic arm.

Conclusions: Robotic right hepatectomy is a safe and feasible technique providing promising short-term outcomes and oncological results also in the initial phase of learning curve.

Download full-text PDF

Source
http://dx.doi.org/10.1159/000487686DOI Listing

Publication Analysis

Top Keywords

robotic arm
16
robotic
10
robotic hepatectomy
8
laparoscopic group
8
laparoscopic
6
p =
5
comparative study
4
study initial
4
initial experience
4
experience performing
4

Similar Publications

In recent years, robotic assistance has become increasingly used and applied in minimally invasive surgeries. A new cooperative surgical robot system that includes a joystick-guided robotic scope holder was developed in this study, and its feasibility for use in minimally invasive abdominal surgery was evaluated in a preclinical setting. The cooperative surgical robot consists of a six-degree-of-freedom collaborative robot arm and a one-degree-of-freedom bidirectional telescopic end-effector specializing in surgical assistance.

View Article and Find Full Text PDF

Vehicle-mounted flexible robotic arms (VFRAs) are crucial in enhancing operational capabilities in sectors where human intervention is limited due to accessibility or safety concerns, such as hazardous environments or precision surgery. This paper introduces the latest generation of VFRAs that utilize advanced soft materials and are designed with elongated structures to provide greater flexibility and control. We present a novel mathematical model, derived using Hamilton's principle, which simplifies the analysis of the arm's dynamic behaviors by employing partial differential equations (PDEs).

View Article and Find Full Text PDF

A Robust Method for Validating Orientation Sensors Using a Robot Arm as a High-Precision Reference.

Sensors (Basel)

December 2024

Antal Bejczy Center for Intelligent Robotics, Obuda University, 1034 Budapest, Hungary.

This paper presents a robust and efficient method for validating the accuracy of orientation sensors commonly used in practical applications, leveraging measurements from a commercial robotic manipulator as a high-precision reference. The key concept lies in determining the rotational transformations between the robot's base frame and the sensor's reference, as well as between the TCP (Tool Center Point) frame and the sensor frame, without requiring precise alignment. Key advantages of the proposed method include its independence from the exact measurement of rotations between the reference instrumentation and the sensor, systematic testing capabilities, and the ability to produce repeatable excitation patterns under controlled conditions.

View Article and Find Full Text PDF

G-RCenterNet: Reinforced CenterNet for Robotic Arm Grasp Detection.

Sensors (Basel)

December 2024

School of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun 130022, China.

In industrial applications, robotic arm grasp detection tasks frequently suffer from inadequate accuracy and success rates, which result in reduced operational efficiency. Although existing methods have achieved some success, limitations remain in terms of detection accuracy, real-time performance, and generalization ability. To address these challenges, this paper proposes an enhanced grasp detection model, G-RCenterNet, based on the CenterNet framework.

View Article and Find Full Text PDF

In robotic arm controllers, the ability to shift signal levels is crucial for interfacing between different voltage domains in a processor. The level shifter (LS) has been used to convert signals operating near threshold voltage to signals operating well above the threshold voltage. Researchers have developed current mirror-based LSs to employ current mirrors, which duplicate the current from one transistor and accurately replicate it in another, ensuring precise current matching.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!