Evidence map›Paper›PMID 41157551›Full record

ArticleSensors (Basel, Switzerland)2025

Enhancing Torque Output for a Magnetic Actuation System for Robotic Spinal Distraction.

Yumei Li, Zikang Li, Ding Lu, Tairan Peng, Yunzhi Chen, Gang Fu, Zhenguo Nie, Fangyuan Wei

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

8 authors.

Yumei LiBeijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science Technology University, Beijing 100096, China.
Zikang LiBeijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science Technology University, Beijing 100096, China.
Ding LuBeijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science Technology University, Beijing 100096, China.
Tairan PengDepartment of Mechanical Engineering, Tsinghua University, Beijing 100084, China.
Yunzhi ChenDepartment of Mechanical Engineering, Tsinghua University, Beijing 100084, China.
Gang FuDepartment of Pediatric Orthopedics, Beijing Jishuitan Hospital, Beijing 100035, China.
Zhenguo NieDepartment of Mechanical Engineering, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-1990-3037
Fangyuan WeiDepartment of Hand and Foot Surgery, Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing 100029, China.

Funding

Beijing Natural Science Foundation L242044Beijing Natural Science Foundation L248078Beijing New-star Plan of Science and Technology 20230484405
6 · The paper itself

Abstract

Magnetically controlled spinal growing rods, used for treating early-onset scoliosis (EOS), face a critical clinical limitation: insufficient distraction force. Compounding this issue is the inherent inability to directly monitor the mechanical output of such implants in vivo, which challenges their safety and efficacy. To overcome these limitations, optimizing the rotor's maximum torque is essential. Furthermore, defining the "continuous rotation domain" establishes a vital safety boundary for stable operation, preventing loss of synchronization and loss of control, thus safeguarding the efficacy of future clinical control strategies. In this study, a transient finite element magnetic field simulation model of a circumferentially distributed permanent magnet-rotor system was established using ANSYS Maxwell (2024). The effects of the clamp angle between the driving magnets and the rotor, the number of pole pairs, the rotor's outer diameter, and the rotational speed of the driving magnets on the rotor's maximum torque were systematically analyzed, and the optimized continuous rotation domain of the rotor was determined. The results indicated that when the clamp angle was set at 120°, the number of pole pairs was one, the rotor outer diameter was 8 mm, the rotor achieved its maximum torque and exhibited the largest continuous rotation domain, while the rotational speed of the driving magnets had no effect on maximum torque. Following optimization, the maximum torque of the simulation increased by 201% compared with the pre-optimization condition, and the continuous rotation domain was significantly enlarged. To validate the simulation, a rotor torque measurement setup incorporating a torque sensor was constructed. Experimental results showed that the maximum torque improved from 30 N·mm before optimization to 90 N·mm after optimization, while the driving magnets maintained stable rotation throughout the process. Furthermore, a spinal growing rod test platform equipped with a pressure sensor was developed to evaluate actuator performance and measure the maximum distraction force. The optimized growing rod achieved a peak distraction force of 413 N, nearly double that of the commercial MAGEC system, which reached only 208 N. The simulation and experimental methodologies established in this study not only optimizes the device's performance but also provides a viable pathway for in vivo performance prediction and monitoring, addressing a critical need in smart implantable technology.

Indexed as

RoboticsRobotic Surgical ProceduresScoliosisSpineEquipment DesignFinite Element AnalysisHumansMagnetic FieldsTorqueearly-onset scoliosiselectromagnetic actuatorspinal growing rodtorque optimization

Identifiers

PMID41157551
PMCPMC12568088

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Registered trials

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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.