Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Contactless robotic system for linear catheter advancement using magnetic actuation.

International journal of computer assisted radiology and surgery·2026
Same author

Complexity of leaf surface texture affects microbial colonization in temperate forest tree species.

PloS one·2026
Same author

Tree type-specific endophytic bacterial assembly and function in senescing leaves and needles in temperate forests of Central Europe.

BMC plant biology·2026
Same author

Comparative assessment of extravascular lung water index in ARDS patients on veno-venous ECMO: transpulmonary thermodilution versus AI-driven chest CT segmentation.

BMC pulmonary medicine·2026
Same author

Monocular Near-Infrared Optical Tracking with Retroreflective Fiducial Markers for High-Accuracy Image-Guided Surgery.

Sensors (Basel, Switzerland)·2026
Same author

Dynamics of the plastisphere microbiome in agricultural soils under changing climatic conditions.

Journal of hazardous materials·2026

Related Experiment Video

Updated: Aug 7, 2025

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
06:24

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

Published on: May 11, 2020

8.9K

Learning Needle Placement in Soft Tissue With Robot-assisted Navigation.

Philipp Lautenschlaeger1, Nils Rathmann2, Andreas Rothfuss3

  • 1Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.

In Vivo (Athens, Greece)
|March 7, 2023
PubMed
Summary
This summary is machine-generated.

Novices using a novel robotic assistance system (RAS) for cone-beam computed tomography (CBCT)-guided needle placement showed improved speed and confidence. Precision remained consistent, indicating early proficiency with the RAS technology.

Keywords:
CTCT-guided interventioncone-beam-CTinterventional radiologylearning curverobotics

More Related Videos

Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery
07:30

Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery

Published on: May 4, 2022

3.4K
Dynamic Navigation for Dental Implant Placement
05:42

Dynamic Navigation for Dental Implant Placement

Published on: September 13, 2022

3.8K

Related Experiment Videos

Last Updated: Aug 7, 2025

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
06:24

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

Published on: May 11, 2020

8.9K
Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery
07:30

Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery

Published on: May 4, 2022

3.4K
Dynamic Navigation for Dental Implant Placement
05:42

Dynamic Navigation for Dental Implant Placement

Published on: September 13, 2022

3.8K

Area of Science:

  • Medical robotics
  • Medical imaging technology
  • Surgical simulation

Background:

  • Novice practitioners require effective training methods for complex procedures.
  • Robotic assistance systems (RAS) offer potential for enhanced precision and control in interventions.
  • Cone-beam computed tomography (CBCT) provides real-time imaging guidance for needle placement.

Purpose of the Study:

  • To evaluate the learning curves of novices using a novel RAS for CBCT-guided needle placement.
  • To assess the impact of RAS on precision, intervention duration, autonomy, and confidence.
  • To determine the feasibility of RAS in training for image-guided procedures.

Main Methods:

  • Ten novice participants performed 18 CBCT-guided needle punctures each in a phantom model.
  • Training and practice were conducted over three days with RAS support.
  • Key performance metrics included needle tip deviation, total intervention time, needle placement duration, autonomy, and self-reported confidence.

Main Results:

  • No significant difference in needle tip deviation was observed across trial days (Day 1: 2.82 mm vs. Day 3: 3.07 mm).
  • Significant reductions in total intervention duration (Day 1: 11:22 min vs. Day 3: 07:39 min) and needle placement duration (Day 1: 03:17 min vs. Day 3: 02:11 min) were recorded.
  • Participant autonomy (Day 1: 94% vs. Day 3: 99%) and confidence (Day 1: 78% vs. Day 3: 91%) significantly increased.

Conclusions:

  • Novices achieved precise CBCT-guided needle interventions with RAS support from the first day.
  • The RAS facilitated significant improvements in procedural efficiency and participant confidence over the trial period.
  • The study demonstrates the potential of RAS to accelerate the learning curve for image-guided interventions.