首页|Johns Hopkins University Reports Findings in Glossectomy [Autonomous System for Tumor Resection (ASTR) - Dual-Arm Robotic Midline Partial Glossectomy]
Johns Hopkins University Reports Findings in Glossectomy [Autonomous System for Tumor Resection (ASTR) - Dual-Arm Robotic Midline Partial Glossectomy]
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New research on Surgery - Glossectomy is the subject of a report. According to news reporting out of Baltimore, Maryland, by NewsRx editors, research stated, “Head and neck cancers are the seventh most common cancers worldwide, with squamous cell carcinoma being the most prevalent histologic subtype. Surgical resection is a primary treatment modality for many patients with head and neck squamous cell carcinoma, and accurately identifying tumor boundaries and ensuring sufficient resection margins are critical for optimizing oncologic outcomes.” Our news journalists obtained a quote from the research from Johns Hopkins University, “This study presents an innovative autonomous system for tumor resection (ASTR) and conducts a feasibility study by performing supervised autonomous midline partial glossectomy for pseudotumor with millimeter accuracy. The proposed ASTR system consists of a dual-camera vision system, an electrosurgical instrument, a newly developed vacuum grasping instrument, two 6-DOF manipulators, and a novel autonomous control system. The letter introduces an ontology-based research framework for creating and implementing a complex autonomous surgical workflow, using the glossectomy as a case study. Porcine tongue tissues are used in this study, and marked using color inks and near-infrared fluorescent (NIRF) markers to indicate the pseudotumor. ASTR actively monitors the NIRF markers and gathers spatial and color data from the samples, enabling planning and execution of robot trajectories in accordance with the proposed glossectomy workflow. The system successfully performs six consecutive supervised autonomous pseudotumor resections on porcine specimens. The average surface and depth resection errors measure 0.73±0.60 and 1.89±0.54 , respectively, with no positive tumor margins detected in any of the six resections.”
BaltimoreMarylandUnited StatesNorth and Central AmericaAutonomous SystemBiomarkersDiagnostics and ScreeningEmerging TechnologiesGlossectomyHealth and MedicineMachine LearningOral Surgical ProceduresRoboticsRobotsSurgery
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