Evidence map›Paper›PMID 34744678›Full record

ArticleFrontiers in neurorobotics2021

Magnetically Guided Catheters, Micro- and Nanorobots for Spinal Cord Stimulation.

Harun Torlakcik, Can Sarica, Patrick Bayer, Kazuaki Yamamoto, Christian Iorio-Morin, Mojgan Hodaie, Suneil K Kalia, Joseph S Neimat, Juha Hernesniemi, Anuj Bhatia and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurorobotics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025
    Review
  3. Magnetically Guided Microcatheter for Targeted Injection of Magnetic Particle Swarms.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  4. Review
  5. Review
  6. Review
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

14 authors at 7 institutions in 5 countries.

Harun TorlakcikDepartment of Neurosurgery, Henan Provincial People's Hospital, Henan University People's Hospital, Henan University School of Medicine, Zhengzhou, China.
Can SaricaDivision of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada.
Patrick BayerFaculty of Medicine, Ludwig Maximilians University Munich, Munich, Germany.
Kazuaki YamamotoDivision of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada.
Christian Iorio-MorinDepartment of Neurosurgery, University of Sherbrooke, Sherbrooke, QC, Canada.
Mojgan HodaieDivision of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada.
Suneil K KaliaDivision of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada.
Joseph S NeimatDepartment of Neurosurgery, School of Medicine, University of Louisville, Louisville, KY, United States.
Juha HernesniemiDepartment of Neurosurgery, Henan Provincial People's Hospital, Henan University People's Hospital, Henan University School of Medicine, Zhengzhou, China.
Anuj BhatiaDepartment of Anesthesia and Pain Medicine, University Health Network, University of Toronto, Toronto, ON, Canada.
Bradley J NelsonMulti-Scale Robotics Laboratory, Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.
Salvador PanéMulti-Scale Robotics Laboratory, Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.
Andres M LozanoDivision of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada.
Ajmal ZemmarDepartment of Neurosurgery, Henan Provincial People's Hospital, Henan University People's Hospital, Henan University School of Medicine, Zhengzhou, China.
University of Toronto · CAETH Zurich · CHÉcole Polytechnique Fédérale de Lausanne · CHHenan Provincial People's Hospital · CNLudwig-Maximilians-Universität München · DEUniversité de Sherbrooke · CAUniversity of Louisville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinal cord stimulation (SCS) is an established treatment for refractory pain syndromes and has recently been applied to improve locomotion. Several technical challenges are faced by surgeons during SCS lead implantation, particularly in the confined dorsal epidural spaces in patients with spinal degenerative disease, scarring and while targeting challenging structures such as the dorsal root ganglion. Magnetic navigation systems (MNS) represent a novel technology that uses externally placed magnets to precisely steer tethered and untethered devices. This innovation offers several benefits for SCS electrode placement, including enhanced navigation control during tip placement, and the ability to position and reposition the lead in an outpatient setting. Here, we describe the challenges of SCS implant surgery and how MNS can be used to overcome these hurdles. In addition to tethered electrode steering, we discuss the navigation of untethered micro- and nanorobots for wireless and remote neuromodulation. The use of these small-scale devices can potentially change the current standard of practice by omitting the need for electrode and pulse generator implantation or replacement. Open questions include whether small-scale robots can generate an electrical field sufficient to activate neuronal tissue, as well as testing precise navigation, placement, anchoring, and biodegradation of micro- and nanorobots in the

Indexed as

magnetic steeringmicrorobotnanorobotneuroroboticsspinal cord stimulation

Identifiers

PMID34744678
PMCPMC8565609
OpenAlexW3208269019

What OpenQuestion 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 OpenQuestion graph.