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The aim of this technical note is a step-by-step description of a fully robotic abdominothoracic esophagectomy with an intrathoracic esophagogastrostomy. We report on our technique and short-term results of 75 patients undergoing an Ivor-Lewis esophagectomy using a fully robotic 4-arm approach in the abdominal and thoracic phase with a hand-sewn intrathoracic anastomosis. There are several important steps and differences to consider compared to the conventional minimal invasive approach (patient's positioning, anaesthesiological set up, port placement, gastric conduit pull up, technique of esophagostrostomy). Mean operative time was 392 minutes (240-610) with a 94% R0 resection status. Conversion to open procedure occurred in 2 (2.6%) in the abdominal, and 14 (18.2%) in the thoracic phase. Main reasons for conversion were problems during the lifting of the gastric conduit and difficulties in the construction of the esophagogastrostomy. The rate dropped during the last 20 patients (1/20 (10%). Our results suggest that the reported technique is safe and feasible. It satisfies the oncological principles and provides the advantages of robotic assisted minimal invasive surgery.
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http://dx.doi.org/10.1093/dote/dox098 | DOI Listing |
Trends Biotechnol
September 2025
Czech Advanced Technology and Research Institute (CATRIN), Palacký University Olomouc, Šlechtitelů 27, 77900, Olomouc, Czech Republic; Nanotechnology Centre, Centre for Energy and Environmental Technologies, Technical University of Ostrava (VSB), 17 Listopadu 2172/15, 70800 Ostrava, Poruba, Czech
Exploring mobility beyond traditional robotic systems such as walking, swimming, and jumping, flight through dispersal, gliding, or hovering remains an untapped frontier for advanced stimulus-responsive and -sensing materials. Nature-inspired engineering has been a foundational aspect of robotic innovations, and biohybrid and biomimetic flying seeds are now becoming a significant example of this concept. By mimicking the aerodynamic properties and dispersal mechanisms of natural seeds, semi- and fully artificial systems are being designed for environmental monitoring, precision agriculture, and disease management applications that require wide-area coverage.
View Article and Find Full Text PDFJ Craniomaxillofac Surg
September 2025
Christian Albrechts University, Department of Oral and Maxillofacial Surgery, UKSH- Campus Kiel, Kiel, Germany.
Robotic surgery has undergone steady evolution in recent years. Until now, there has been no suitable robotic system for plastic reconstruction. With the Symani Surgical System, anastomoses of free flaps in the head and neck region can be performed efficiently and accurately.
View Article and Find Full Text PDFJ Prosthet Dent
September 2025
Chief, The Affiliated Stomatological Hospital of Chongqing Medical University, Chongqing Key Laboratory of Oral Diseases, Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing Municipal Health Commission Key Laboratory of Oral Biomedical Engineering, Chongq
Statement Of Problem: Immediate implant and interim restoration placement in the maxillary anterior esthetic zone presents challenges in achieving optimal implant positioning, esthetics, and peri-implant tissue stability. A more accurate and efficient clinical workflow is needed to address these demands.
Purpose: This study aimed to establish a fully digital workflow that combines autonomous robotic-assisted immediate implant placement and prefabricated interim restorations in the maxillary anterior esthetic region and to evaluate its accuracy and short-term clinical outcomes.
Int J Surg
September 2025
Institute of Medical Robotics and Intelligent Systems, Tianjin University, Tianjin, China.
Background: A comprehensive understanding of surgical scenes by computers is a crucial foundation for achieving intelligent surgical assistance and autonomous decision-making. Surgical scene information encompasses coarse-grained data reflecting the overall process and fine-grained details showcasing specific operations. This study aims to construct a standardized, full-grained annotation dataset for laparoscopic radical nephrectomy and develop a deep learning framework for multi-hierarchical granularity integration, providing support for clinical intelligent applications.
View Article and Find Full Text PDFAPL Bioeng
September 2025
The BioRobotics Institute and Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Pisa, Italy.
A fully implantable sensorized organ to replace the natural urinary bladder holds considerable promise for patients undergoing radical cystectomy. Clinical options to restore continence include urine redirection to wearable bags or reconstruction of neobladders from autologous tissues, often with limited capacity. However, none of these approaches can restore patient's ability to perceive bladder fullness, making voiding self-management complex and burdensome.
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