Evidence map›Paper›PMID 41193913›Full record

ArticleJournal of robotic surgery2025

Evaluation of a new robotic spinal surgical system for K-wire placement characterized by tracker registration and lateral force sensing.

Hailong Chen, Yancheng Zhu, Changzhi Du, Yongkang Yang, Jun Liu, Liang Li, Boyao Wang

Abstract readEvaluation Study
In one paragraph

Article in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. An Optical Tracking-Based Robot-Assisted System for Spinal Fixation Rod Bending.The international journal of medical robotics + computer assisted surgery : MRCAS · 2026
    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

7 authors.

Hailong Chen *Department of Spine Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China.
Yancheng Zhu *Department of Spine Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China.
Changzhi DuDepartment of Spine Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China.
Yongkang YangNanjing Medical University, Nanjing, 210003, China.
Jun LiuDepartment of Spine Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China. 13776698080@139.com.
Liang LiNanjing Medical University, Nanjing, 210003, China. liliang@njmu.edu.cn.
Boyao WangDepartment of Spine Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China. 13912980806@163.com.

Funding

Nanjing Medical University Second Affiliated Hospital 'Medical-Engineering Integration Innovation Project YGRH002Natural Science Foundation of Beijing L256049Natural Science Foundation of Beijing China L246016Natural Science Foundation of Jiangsu Province China BK20230301Natural Science Foundation of the Jiangsu Higher Education Institutions of China 23KJB310010
6 · The paper itself

Abstract

backgroundEfficient registration and high-precision K-wire guidance are critical for the effective performance of spinal surgical robots. We therefore evaluate a new robotic system featuring optical tracker registration and a high-precision lateral force sensing system during K-wire placement. In this study, retrospectively collected clinical data were used to evaluate the technical efficacy and clinical utility of the system in spinal surgery.

methodsThis was a retrospective study. Between December 2022 and April 2024, a total of 127 patients were enrolled and subjected to X-ray, CT, and MRI examinations. Among these patients, 67 were enrolled in the robot-assisted group, in which K-wires were implanted using a new spinal surgical robot. The remaining 60 patients were enrolled in the freehand group, where K-wires were implanted manually. The data collected included sex, age, body mass index, number of punctures (NOP), mean time required to insert a K-wire (MTRI K-wire), average blood loss per K-wire insertion (ABL K-wire), fluoroscopy count per K-wire (FC K-wire), puncture abduction angle (PAA), and K-wire in the pedicle (K-wire IP). Distance deviations and angle deviations were used as the primary parameters to evaluate the accuracy of the new spinal surgical robot.

resultsCompared with free-hand K-wire insertion, robot-assisted K-wire implantation results in fewer NOP, fewer MTRI K-wires, fewer ABL K-wires, fewer intraoperative FC K-wires, and a larger PAA. Compared with the free-hand group, the robot-assisted group demonstrated significantly smaller entry point deviation (0.98 ± 0.13 vs. 5.08 ± 1.17 mm, p < 0.001) and endpoint deviation (1.38 ± 0.20 vs. 5.52 ± 0.87 mm, p < 0.001). These results demonstrate superior targeting accuracy with robotic assistance relative to conventional freehand techniques.

conclusionsOur spinal surgical robot system demonstrates clinically reliable accuracy in K-wire placement while offering significant intraoperative advantages, including a streamlined procedural workflow, a reduced operation time, and minimal tissue trauma. These results demonstrate significant potential for both clinical implementation and further technological optimization.

trial registrationThis trial was approved by the Ethics Committee of the Second Affiliated Hospital of Nanjing Medical University on February 21, 2023(2023XJ00401 retrospectively registered).

Indexed as

Bone WiresRobotic Surgical ProceduresSpineAgedFemaleHumansMaleMiddle AgedRetrospective StudiesAccuracyK-WireLateral force sensingRobot-Assisted spinal surgeryTracker registration

Identifiers

PMID41193913
PMCPMC12589274

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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.