Evidence map›Paper›PMID 34021694›Full record

ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2021

Simple methods to test the accuracy of MRgFUS robotic systems.

Anastasia Antoniou, Theocharis Drakos, Marinos Giannakou, Nikolas Evripidou, Leonidas Georgiou, Theodora Christodoulou, Natalie Panayiotou, Cleanthis Ioannides, Nikolaos Zamboglou, Christakis Damianou

Abstract read
In one paragraph

Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Low-Complexity Robotic Device for Magnetic Resonance Imaging-Guided Needle Biopsy.The international journal of medical robotics + computer assisted surgery : MRCAS · 2025
    Article
  2. Article
  3. Preclinical robotic device for magnetic resonance imaging guided focussed ultrasound.The international journal of medical robotics + computer assisted surgery : MRCAS · 2023
    Article
  4. Robotic device for transcranial focussed ultrasound applications in small animal models.The international journal of medical robotics + computer assisted surgery : MRCAS · 2022
    Article
  5. Full coverage path planning algorithm for MRgFUS therapy.The international journal of medical robotics + computer assisted surgery : MRCAS · 2022
    Article
  6. Article
  7. 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

10 authors.

Anastasia AntoniouDepartment of Electrical Engineering, Computer Engineering, and Informatics, Cyprus University of Technology, Limassol, Cyprus.
Theocharis DrakosR&D, Medsonic LTD, Limassol, Cyprus.
Marinos GiannakouR&D, Medsonic LTD, Limassol, Cyprus.ORCID https://orcid.org/0000-0002-6777-0515
Nikolas EvripidouDepartment of Electrical Engineering, Computer Engineering, and Informatics, Cyprus University of Technology, Limassol, Cyprus.ORCID https://orcid.org/0000-0002-8200-3349
Leonidas GeorgiouGerman Oncology Center, Limassol, Cyprus.
Theodora ChristodoulouGerman Oncology Center, Limassol, Cyprus.
Natalie PanayiotouGerman Oncology Center, Limassol, Cyprus.
Cleanthis IoannidesGerman Oncology Center, Limassol, Cyprus.
Nikolaos ZamboglouGerman Oncology Center, Limassol, Cyprus.
Christakis DamianouDepartment of Electrical Engineering, Computer Engineering, and Informatics, Cyprus University of Technology, Limassol, Cyprus.ORCID https://orcid.org/0000-0003-0424-2851

Funding

Research and Innovation Foundation of Cyprus ENTERPRISES/0618/0016Research and Innovation Foundation of Cyprus ENTERPRISES/0918/0012Research and Innovation Foundation of Cyprus INTEGRATED/0918/0008
6 · The paper itself

Abstract

backgroundRobotic-assisted diagnostic and therapeutic modalities require a highly accurate performance to be certified for clinical application. In this paper, three simple methods for assessing the accuracy of motion of magnetic resonance-guided focused ultrasound (MRgFUS) robotic systems are presented.

methodsThe accuracy of motion of a 4 degrees of freedom robotic system intended for preclinical use of MRgFUS was evaluated by calliper-based and magnetic resonance imaging (MRI) methods, as well as visually by performing multiple ablations on a plastic film.

resultsThe benchtop results confirmed a highly accurate motion in all axes of operation. The spatial positioning errors estimated by MRI evaluation were defined by the size of the imaging pixels. Lesions arrangement in discrete and overlapping patterns confirmed satisfactory alignment of motion trajectories.

conclusionsWe believe the methods presented here should serve as a standard for evaluating the accuracy of motion of MRgFUS robotic systems.

Indexed as

High-Intensity Focused Ultrasound AblationRobotic Surgical ProceduresHumansMagnetic Resonance ImagingMotionmotion accuracyMRgFUS robotic devicessimple evaluation methods

Identifiers

PMID34021694
PMCPMC8365756

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.