This is a quality improvement study of 37 patients who underwent transperitoneal robotic adrenalectomy (TRA) between August 1, 2010 and August 31, 2020 at a university affiliated, community-based, tertiary care hospital. Robotic adrenalectomy was performed utilizing the DaVinci Si™ and Robotic Xi Surgical System (Intuitive Surgical Sàrl, Aubonne, Switzerland). Indications for TRA included advanced/functional adenomas and concern for malignancy. Data was queried from our electronic medical records (EPIC, Epic Systems Corporation, Verona, Wisconsin) and data compilation was performed by trained, unblinded reviewers in accordance with retrospective review guidelines.8 (link) All operations were performed by a single surgeon.
Robotic xi surgical system
Manufactured by Intuitive Surgical
Sourced in Switzerland, United States
The Robotic Xi Surgical System is a surgical platform developed by Intuitive Surgical. The system is designed to assist surgeons in performing minimally invasive procedures. The core function of the Robotic Xi Surgical System is to provide surgeons with a set of tools and technologies to enhance their precision, dexterity, and control during complex surgical operations.
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Lab products found in correlation
2 protocols using robotic xi surgical system
1
Robotic Adrenalectomy Quality Improvement
2
Robotic-Assisted Liver Resection with Fluorescence Imaging
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All the operations were performed with a Da Vinci Robotic Xi™ Surgical System (Intuitive Surgical Inc.®, Sunnyvale, CA, USA). Intraoperative fluorescence imaging was obtained through the integrated Firefly mode™, which can be activated directly by the operating surgeon. The principles of the surgical technique have been already described elsewhere [33 (link)–37 (link)].
The type of resection was preoperatively decided based on the lesions’ extension, their relationship with the liver’s major vascular structures, their nature and the quality of the liver parenchyma, but subject to intraoperative changes in case of unexpected or incidental findings.
During parenchymal transection, a constant IOUS, 3D rendering, and fluorescence monitoring and navigation were performed to identify and follow the most appropriate resection plane.
The type of resection was preoperatively decided based on the lesions’ extension, their relationship with the liver’s major vascular structures, their nature and the quality of the liver parenchyma, but subject to intraoperative changes in case of unexpected or incidental findings.
During parenchymal transection, a constant IOUS, 3D rendering, and fluorescence monitoring and navigation were performed to identify and follow the most appropriate resection plane.
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