Evidence map›Paper›PMID 32856179›Full record

ReviewAnnals of biomedical engineering2020

MR-Conditional Actuations: A Review.

Qingyu Xiao, Reza Monfaredi, Mishek Musa, Kevin Cleary, Yue Chen

Abstract readReview
In one paragraph

Review in Annals of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. A Pneumatically Actuated Robotic Assistant for MRI-Guided Stereotactic Neurosurgery.IEEE transactions on medical robotics and bionics · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Towards Design and Development of an MRI Conditional Robot to Enable Curvilinear Transperineal Prostate Biopsy.The international journal of medical robotics + computer assisted surgery : MRCAS · 2024
    Article
  8. Article
  9. Modeling and Control of an MR-Safe Pneumatic Radial Inflow Motor and Encoder (PRIME).IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division · 2024
    Article
  10. A magnetic resonance conditional robot for lumbar spinal injection: Development and preliminary validation.The international journal of medical robotics + computer assisted surgery : MRCAS · 2024
    Article
  11. Article
  12. Review of Robot-Assisted HIFU Therapy.Sensors (Basel, Switzerland) · 2023
    Review
  13. Open Source MR-Safe Pneumatic Radial Inflow Motor and Encoder (PRIME): Design and Manufacturing Guidelines.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2023
    Article
  14. Review
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Qingyu XiaoDepartment of Mechanical Engineering, University of Arkansas, Fayetteville, AR, USA.
Reza MonfarediChildren's National Medical Center, Washington, DC, USA.
Mishek MusaDepartment of Mechanical Engineering, University of Arkansas, Fayetteville, AR, USA.
Kevin ClearyChildren's National Medical Center, Washington, DC, USA.
Yue ChenDepartment of Mechanical Engineering, University of Arkansas, Fayetteville, AR, USA. yc039@uark.edu.ORCID http://orcid.org/0000-0001-9224-4165

Funding

MRI Compatible Robot for Improved Pain Injections in Adults and ChildrenR01EB025179 · NIBIB · CHILDREN'S RESEARCH INSTITUTE · PI CLEARY, KEVIN R. · 2018 to 2021
$2.8M
MRI-compatible concentric tube robot for intracerebral hemorrhageR01NS116148 · NINDS · CHILDREN'S RESEARCH INSTITUTE · PI CHEN, YUE, CLEARY, KEVIN R. · 2021 to 2024
$2.3M
MRI Compatible Body-Mounted Robot to Streamline Pediatric Shoulder ArthrographyR01EB020003 · NIBIB · CHILDREN'S RESEARCH INSTITUTE · PI CLEARY, KEVIN R. · 2016 to 2019
$2.0M
NIBIB NIH HHS R01 EB020003NIBIB NIH HHS R01 EB025179NIH HHS R01EB020003NIH HHS R01EB025179NINDS NIH HHS R01 NS116148
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) is one of the most prevailing technologies to enable noninvasive and radiation-free soft tissue imaging. Operating a robotic device under MRI guidance is an active research area that has the potential to provide efficient and precise surgical therapies. MR-conditional actuators that can safely drive these robotic devices without causing safety hazards or adversely affecting the image quality are crucial for the development of MR-guided robotic devices. This paper aims to summarize recent advances in actuation methods for MR-guided robots and each MR-conditional actuator was reviewed based on its working principles, construction materials, the noteworthy features, and corresponding robotic application systems, if any. Primary characteristics, such as torque, force, accuracy, and signal-to-noise ratio (SNR) variation due to the variance of the actuator, are also covered. This paper concludes with a perspective on the current development and future of MR-conditional actuators.

Indexed as

HumansMagnetic Resonance ImagingRoboticsActuationHydraulicMagnetic resonance imaging (MRI)MotorMR-conditionalPiezoelectricPneumatic

Identifiers

PMID32856179
PMCPMC10620609

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Registered trials

None linked

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.