ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2018
Semi-autonomous image-guided brain tumour resection using an integrated robotic system: A bench-top study.
Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 33 citations in OpenAlex.
- A feedback-driven brain organoid platform enables automated maintenance and high-resolution neural activity monitoring.Internet of things (Amsterdam, Netherlands) · 2025Article
- Autonomous System for Tumor Resection (ASTR) - Dual-Arm Robotic Midline Partial Glossectomy.IEEE robotics and automation letters · 2024Article
- Evolution of a surgical system using deep learning in minimally invasive surgery (Review).Biomedical reports · 2023Review
- Autonomous robotic laparoscopic surgery for intestinal anastomosis.Science robotics · 2022Article
- Supervised Autonomous Electrosurgery for Soft Tissue Resection.Proceedings. IEEE International Symposium on Bioinformatics and Bioengineering · 2021Article
- Supervised Autonomous Electrosurgery via Biocompatible Near-Infrared Tissue Tracking Techniques.IEEE transactions on medical robotics and bionics · 2019Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundComplete brain tumour resection is an extremely critical factor for patients' survival rate and long-term quality of life. This paper introduces a prototype medical robotic system that aims to automatically detect and clean up brain tumour residues after the removal of tumour bulk through conventional surgery.
methodsWe focus on the development of an integrated surgical robotic system for image-guided robotic brain surgery. The Behavior Tree framework is explored to coordinate cross-platform medical subtasks.
resultsThe integrated system was tested on a simulated laboratory platform. Results and performance indicate the feasibility of supervised semi-automation for residual brain tumour ablation in a simulated surgical cavity with sub-millimetre accuracy. The modularity in the control architecture allows straightforward integration of further medical devices.
conclusionsThis work presents a semi-automated laboratory setup, simulating an intraoperative robotic neurosurgical procedure with real-time endoscopic image guidance and provides a foundation for the future transition from engineering approaches to clinical application.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.