• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Artikel
  4. Learning Needle Placement in Soft Tissue With Robot-assisted Navigation
 
  • Details
  • Full
Options
2023
Journal Article
Title

Learning Needle Placement in Soft Tissue With Robot-assisted Navigation

Abstract
Background/aim: The aim of this phantom study was to evaluate the learning curves of novices practicing how to place a cone-beam computed tomography (CBCT)-guided needle using a novel robotic assistance system (RAS). Materials and methods: Ten participants performed 18 punctures each with random trajectories in a phantom setting, supported by a RAS over 3 days. Precision, duration of the total intervention, duration of the needle placement, autonomy, and confidence of the participants were measured, displaying possible learning curves. Results: No statistically significant differences were observed in terms of needle tip deviation during the trial days (mean deviation day 1: 2.82 mm; day 3: 3.07 mm; p=0.7056). During the trial days, the duration of the total intervention (mean duration: day 1: 11:22 min; day 3: 07:39 min; p<0.0001) and the duration of the needle placement decreased (mean duration: day 1: 03:17 min; day 3: 02:11 min; p<0.0001). In addition, autonomy (mean percentage of achievable points: day 1: 94%; day 3: 99%; p<0.0001) and confidence of the participants (mean percentage of achievable points: day 1: 78%; day 3: 91%; p<0.0001) increased significantly during the trial days. Conclusion: The participants were already able to carry out the intervention precisely using the RAS on the first day of the trial. Throughout the trial, the participants' performance improved in terms of duration and confidence.
Author(s)
Lautenschläger, Philipp
Universitätsmedizin Mannheim -UMM-, Klinik für Radiologie und Nuklearmedizin
Rathmann, Nils
Universitätsmedizin Mannheim -UMM-, Klinik für Radiologie und Nuklearmedizin
Rothfuss, Andreas
BEC GmbH
Kuhne, Markus
Stork, Simon
BEC GmbH
Noll, Matthias  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Hetjens, Svetlana
Universitätsmedizin Mannheim -UMM-
Schoenberg, Stefan O.
Universitätsmedizin Mannheim (UMM), Klinik für Radiologie und Nuklearmedizin
Stallkamp, Jan
Universitätsmedizin Mannheim (UMM), Mannheim Institute for Intelligent Systems in Medicine
Diehl, Steffen
Universitätsmedizin Mannheim (UMM), Klinik für Radiologie und Nuklearmedizin
Journal
In vivo  
Project(s)
M²OLIE 2  
M²OLIE 2  
Closed-loop Molecular Environment for Minimally Invasive Treatment of Patients with metastatic Gastrointestinal Stromal Tumours  
ZF4517701AW7
Funder
Bundesministerium für Bildung und Forschung -BMBF-  
Bundesministerium für Bildung und Forschung -BMBF-  
European Commission  
Bundesministerium für Wirtschaft und Energie -BMWI-  
Open Access
File(s)
Download (1.72 MB)
Rights
CC BY-NC-ND 4.0: Creative Commons Attribution-NonCommercial-NoDerivatives
DOI
10.21873/invivo.13131
10.24406/publica-1299
Additional full text version
Landing Page
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Branche: Healthcare

  • Research Line: Human computer interaction (HCI)

  • LTA: Interactive decision-making support and assistance systems

  • 3D Navigation

  • Needle guidance

  • Path planning

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024