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Robotics for Pelvic Reconstruction.

ABSTRACT: Robotic-assisted laparoscopy is increasingly used in female pelvic reconstructive surgery to combine the benefits of abdominally placed mesh for prolapse outcomes with the quicker recovery time associated with minimally invasive procedures. Level III data suggest that early outcomes of robotic sacrocolpopexy are similar to those of open sacrocolpopexy. A single randomized trial has provided level I evidence that robotic and laparoscopic approaches to sacrocolpopexy have similar short-term anatomic outcomes, although operating times, postoperative pain, and cost are increased with robotics. Patient satisfaction and long-term outcomes of both robotic and laparoscopic sacrocolpopexy are insufficiently studied despite their widespread use in the treatment of prolapse. Given the high reoperative rates for prolapse repairs, long-term follow-up is essential, and well-designed comparative effectiveness research is needed to evaluate pelvic floor surgery adequately.

SUBMITTER: Ramm O

PROVIDER: S-EPMC3161411 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

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Robotics for Pelvic Reconstruction.

Ramm Olga O Kenton Kimberly K

Current bladder dysfunction reports 20110601 3

Robotic-assisted laparoscopy is increasingly used in female pelvic reconstructive surgery to combine the benefits of abdominally placed mesh for prolapse outcomes with the quicker recovery time associated with minimally invasive procedures. Level III data suggest that early outcomes of robotic sacrocolpopexy are similar to those of open sacrocolpopexy. A single randomized trial has provided level I evidence that robotic and laparoscopic approaches to sacrocolpopexy have similar short-term anatom ...[more]

PMID: 21874147

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Project description:BackgroundReconstruction of pelvis girdle stability after tumor-induced hemipelvectomy remains challenging. We surgically treated 13 patients with custom-made, three-dimensional printed hemipelvic prostheses. We aim to identify the preliminary outcomes for patients who have been managed with more mixed regions of prosthetic pelvic reconstruction and the feasibility of two reconstructive systems.MethodsSeven male patients and 6 female patients treated at our center between January 2019 and May 2021 were included. There were 11 primary sarcomas and 2 solitary bone metastases. After en bloc tumor resection, two types of personalized, three-dimensional printed prostheses were fixed to restore the stability and rebuild the load transfer. The position of the reconstructed hemipelvis was evaluated on an anteroposterior plain radiograph. The complications and outcomes were traced. One amputation specimen was discovered through histological analysis of the porous structure.ResultsThe operative duration was 467 ± 144 min, and the blood loss was 3,119 ± 662 ml. During a follow-up of 22.4 ± 8.5 months, two patients had delayed wound healing and one had a second-stage flap transfer. One patient with osteosarcoma died of pulmonary metastasis 27 months after surgery. Two patients with marginal resection suffered from local recurrence and had extra surgeries. One patient had traumatic hip dislocation 2 months after surgery and manipulative reduction was performed. The acetabular inclination of the affected side was 42.2 ± 4.3°, compared with 42.1 ± 3.9° on the contralateral side. The horizontal distance between the center of the femoral head and the middle vertical line was 10.4 ± 0.6 cm, while the reconstructed side was 9.8 ± 0.8 cm. No significant difference in acetabular position after surgery was found (p > 0.05). The amputation specimen harvested from one patient with local recurrence demonstrated bone and soft tissue ingrowth within the three-dimensional printed trabecular structure. Walking ability was preserved in all patients who are still alive and no prosthesis-related complications occurred. The MSTS score was 22.0 ± 3.7.ConclusionsBoth types of custom-made, three-dimensional printed prostheses manifested excellent precision, mechanical stability, and promising functional rehabilitation. The porous structure exhibited favorable histocompatibility to facilitate the ingrowth of bone and soft tissue.

Project description:Nowadays, robotics applications requiring the execution of complex tasks in real-world scenarios are still facing many challenges related to highly unstructured and dynamic environments in domains such as emergency response and search and rescue where robots have to operate for prolonged periods trading off computational performance with increased power autonomy and vice versa. In particular, there is a crucial need for robots capable of adapting to such settings while at the same time providing robustness and extended power autonomy. A possible approach to overcome the conflicting demand of a computational performing system with the need for long power autonomy is represented by cloud robotics, which can boost the computational capabilities of the robot while reducing the energy consumption by exploiting the offload of resources to the cloud. Nevertheless, the communication constraint due to limited bandwidth, latency, and connectivity, typical of field robotics, makes cloud-enabled robotics solutions challenging to deploy in real-world applications. In this context, we designed and realized the XBot2D software architecture, which provides a hybrid cloud manager capable of dynamically and seamlessly allocating robotics skills to perform a distributed computation based on the current network condition and the required latency, and computational/energy resources of the robot in use. The proposed framework leverage on the two dimensions, i.e., 2D (local and cloud), in a transparent way for the user, providing support for Real-Time (RT) skills execution on the local robot, as well as machine learning and A.I. resources on the cloud with the possibility to automatically relocate the above based on the required performances and communication quality. XBot2D implementation and its functionalities are presented and validated in realistic tasks involving the CENTAURO robot and the Amazon Web Service Elastic Computing Cloud (AWS EC2) infrastructure with different network conditions.

Dataset Information

Robotics for Pelvic Reconstruction.

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Robotics for Pelvic Reconstruction.

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