Evidence map›Paper›PMID 41200894›Full record

ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2025

Low-Complexity Robotic Device for Magnetic Resonance Imaging-Guided Needle Biopsy.

Anastasia Antoniou, Nikolas Evripidou, Leonidas Georgiou, Antreas Chrysanthou, Antonis Christofi, Jufeng Zhao, Liyang Yu, Wenjun Li, Christakis Damianou

Abstract read
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In one paragraph

Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Anastasia AntoniouDepartment of Electrical Engineering, Computer Engineering, and Informatics, Cyprus University of Technology, Limassol, Cyprus.ORCID https://orcid.org/0009-0006-2006-5655
Nikolas EvripidouDepartment of Electrical Engineering, Computer Engineering, and Informatics, Cyprus University of Technology, Limassol, Cyprus.ORCID https://orcid.org/0000-0002-8200-3349
Leonidas GeorgiouDiagnostic and Interventional Radiology Department, German Medical Institute, Limassol, Cyprus.
Antreas ChrysanthouDiagnostic and Interventional Radiology Department, German Medical Institute, Limassol, Cyprus.
Antonis ChristofiDiagnostic and Interventional Radiology Department, German Medical Institute, Limassol, Cyprus.
Jufeng ZhaoDepartment of Electronics and Information Engineering, Hangzhou Dianzi University, Hangzhou, China.
Liyang YuDepartment of Electronics and Information Engineering, Hangzhou Dianzi University, Hangzhou, China.
Wenjun LiDepartment of Electronics and Information Engineering, Hangzhou Dianzi University, Hangzhou, China.
Christakis DamianouDepartment of Electrical Engineering, Computer Engineering, and Informatics, Cyprus University of Technology, Limassol, Cyprus.ORCID https://orcid.org/0000-0003-0424-2851

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis work presents a low-complexity robotic device for needle-to-target alignment designed to streamline Magnetic Resonance Imaging (MRI)-guided biopsy procedures while maintaining physician control over insertion.

methodsThe robotic device was designed with a rigid frame incorporating two linear degrees of freedom for the in-plane alignment of a needle guide with a predefined target. Trajectory planning and automated motion execution, including image transfer and sequence triggering, were managed through a custom MRI-integrated software interface. Preliminary evaluation of alignment accuracy was performed in an agar phantom containing 5 and 10 mm tumour mimics.

resultsIn phantom experiments, the system consistently achieved submillimeter alignment accuracy for both the 5-mm and 10-mm tumour models across all trials, without any operational failures.

conclusionsThese preliminary findings demonstrate the feasibility of the proposed robotic device for semiautomated MRI-guided abdominal biopsy, pending further extensive preclinical testing.

Indexed as

Image-Guided BiopsyMagnetic Resonance ImagingRoboticsRobotic Surgical ProceduresBiopsy, NeedleEquipment DesignHumansNeedlesPhantoms, ImagingSoftwareabdominalagar phantombiopsyMRIrobotic device

Identifiers

PMID41200894
PMCPMC12593304

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.