To investigate the feasibility of the remote control endovascular robotic system in interventional angiography. The endovascular robotic system Heifetz™ and the matched steerable catheter Mirage™ were used to cannulate all the target vessels in the vascular model and cerebral arteries originated from the aorta of Bama mini-pigs under fluoroscopic guidance. The technical success rate, cannulation time and exposure dose were all collected and compared with the result of using conventional techniques. All the target vessels were successfully cannulated.The average cannulation time for the steerable catheter into left subclavian artery, left common carotid artery, brachiocephalic artery, right common carotid artery and right subclavian artery in the vascular model was (21.3±2.8)s, (28.8±5.2)s, (17.7±2.6)s, (31.5±5.1)s and (24.2±3.7) s, respectively, while the average exposure dose was (9.3±1.2)mGy, (12.4±2.2)mGy, (7.4±1.2)mGy, (14.2±2.5)mGy and( 10.4±1.9)mGy, respectively. The endovascular robotic system completed the cerebral angiography in Bama mini-pigs successfully. The average cannulation time for left innominate artery, right innominate artery, right subclavian artery, common internal carotid trunk, left internal carotid artery and right internal carotid artery was (41.5±6.8)s, (29.1±3.7)s, (40.7±5.5)s, (40.1±5.8)s, (59.6±9.0)s and( 60.3±10.1)s, respectively, while the average exposure dose was (40.6±6.5)mGy, (36.0±5.2)mGy, (39.8±6.1)mGy, (43.9±6.7)mGy, (51.0±7.4)mGy and( 50.1±7.8)mGy, respectively. There was no significant difference between robotic and conventional group in success rate, cannulation time and exposure dose. The remote digital control endovascular robotic system could cannulate the target vessel in both vascular model and complete the cerebral angiography in Bama mini-pigs, which shows the feasibility of using this robotic system in endovascular intervention procedures under remote control.
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http://dx.doi.org/10.3760/cma.j.issn.0376-2491.2016.42.012 | DOI Listing |
Int J Med Inform
December 2024
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. Electronic address:
Background: Solid organ transplantation (SOT) is vital for end-stage organ failure but faces challenges like organ shortage and rejection. Artificial intelligence (AI) offers potential to improve outcomes through better matching, success prediction, and automation. However, the evolution of AI in SOT research remains underexplored.
View Article and Find Full Text PDFSoft Robot
January 2025
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea.
Data-driven calibration methods have shown promising results for accurate proprioception in soft robotics. This process can be greatly benefited by adopting numerical simulation for computational efficiency. However, the gap between the simulated and real domains limits the accurate, generalized application of the approach.
View Article and Find Full Text PDFSurg Today
January 2025
Committee for Promotion of Remote Surgery Implementation, Japan Surgical Society, Tokyo, Japan.
We conducted this study to evaluate the efficacy of robot-assisted minimally invasive esophagectomy (RAMIE) on cadavers in the prone position, utilizing telesurgical support through the double-surgeon cockpit (double SC) of the novel Japanese-made surgical robot system, hinotori (Medicaroid, Kobe, Japan). The Cadaveric Anatomy and Surgical Training Laboratory (CAST Lab) at Hokkaido University and Kushiro City General Hospital (KCGH) are interconnected by a dedicated 1 Gbps internet line, spanning 300 km. An operation unit and double SC were installed at CAST Lab, whereas the double SC proctor was installed at KCGH.
View Article and Find Full Text PDFJ Vis Exp
December 2024
Department of General Surgery (Hepatobiliary, Pancreatic and Splenic Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University;
Robot-assisted pancreaticobiliary junction resection is a surgical technique employed to treat benign duodenal tumors. The procedure involves several key steps: making a longitudinal incision in the duodenum, excising the tumor at the pancreaticobiliary junction, inserting a biliary stent, connecting the biliary and duodenal mucosa, and suturing the duodenal incision during phase I. The robotic system enhances visibility, facilitates precise operations, minimizes duodenal traction injuries to the duodenum and surgical trauma, ensures accurate suture and fixation of bile duct stents, connects the bile duct and duodenal mucosa and reduces postoperative recovery time.
View Article and Find Full Text PDFHeliyon
December 2024
Higher Institute for Applied Sciences and Technology (HIAST), Damascus, P.O.Box 31983, Syria.
The precision and safety of robotic applications rely on accurate robot models. Bayesian Neural Networks (BNNs) offer the capability to acquire intricate models and provide insights into inherent uncertainties. While recent studies have successfully employed machine learning to predict the Forward Geometric Model (FGM) of a 6-DOF (degrees of freedom) parallel manipulator, traditional methods lack predictive uncertainty estimation.
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