Evidence map›Paper›PMID 41566503›Full record

ArticleWorld journal of surgical oncology2026

Robotic-assisted optical navigation system for CT-guided preoperative percutaneous Hook-wire localization of pulmonary nodules: a prospective, single-center, single-arm clinical study.

Peng Wang, Zhichao Sun, Jiayan Wu, Fengzhou Li, Zhe Sun, Zhuoshi Li, Changsheng Lv, Tao Guo, Xin Shu, Jiawei Wang and 5 more

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2026. 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
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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

15 authors.

Peng Wang *Department of Thoracic Surgery, The First Afliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, Liaoning, 116011, People's Republic of China.
Zhichao Sun *Department of Thoracic Surgery, The First Afliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, Liaoning, 116011, People's Republic of China.
Jiayan Wu *True Health Medical Technology Co. Ltd, Hengqin, China.
Fengzhou LiDepartment of Thoracic Surgery, The First Afliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, Liaoning, 116011, People's Republic of China.
Zhe SunDepartment of Thoracic Surgery, The First Afliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, Liaoning, 116011, People's Republic of China.
Zhuoshi LiDepartment of Thoracic Surgery, The First Afliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, Liaoning, 116011, People's Republic of China.
Changsheng LvDepartment of Thoracic Surgery, The First Afliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, Liaoning, 116011, People's Republic of China.
Tao GuoDepartment of Thoracic Surgery, The First Afliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, Liaoning, 116011, People's Republic of China.
Xin ShuDepartment of Thoracic Surgery, The First Afliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, Liaoning, 116011, People's Republic of China.
Jiawei WangDepartment of Thoracic Surgery, The First Afliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, Liaoning, 116011, People's Republic of China.
Jin WangDepartment of Thoracic Surgery, The First Afliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, Liaoning, 116011, People's Republic of China.
Lei ZhaoDepartment of Thoracic Surgery, The First Afliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, Liaoning, 116011, People's Republic of China.
Fachen ZhouDepartment of Thoracic Surgery, The First Afliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, Liaoning, 116011, People's Republic of China.
Shilei ZhaoDepartment of Thoracic Surgery, The First Afliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, Liaoning, 116011, People's Republic of China. bbstnt@126.com.
Chundong GuDepartment of Thoracic Surgery, The First Afliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, Liaoning, 116011, People's Republic of China. guchundong@dmu.edu.cn.

Funding

Dalian Science and Technology Innovation Fund Project No. 2024JJ13PT067National Natural Science Foundation of China No.81774078
6 · The paper itself

Abstract

backgroundRobotic-assisted navigation systems for the localization of nonvisible and nonpalpable pulmonary nodules have demonstrated feasibility and safety in preclinical animal studies; however, clinical evidence supporting their practical application remains limited. This study aims to evaluate the safety and feasibility of using a robotic-assisted system for computed tomography (CT)-guided percutaneous localization of lung nodules.

methodsA total of 137 consecutive patients with 155 nodules were included in the final analysis, all of whom underwent percutaneous hook-wire localization using a novel robotic-assisted optical navigation system. The baseline characteristics of patients and nodules, localization procedure findings, and exploratory outcomes of the correlations between pulmonary nodule features and localization procedure findings were analyzed.

resultsThe localization success rate was 100%. With the assistance of the robotic-assisted optical navigation system, the median number of needle adjustments per target was 0 (ranging from 0 to 2) in this study, with a mean deviation of 1.49 ± 1.93 mm. The mean intervention time was 8.24 ± 1.77 min during the robotic-assisted process. Notably, there was no significant change in the accuracy influenced by the location, type, size of nodules, distance to pleura, and decubitus positions. Localization-related complications occurred in 13 (8.39%) out of 155 targets, including 3 (1.94%) minor hemorrhages and 10 (6.45%) minor pneumothoraxes, and no dislodgement was observed in any of the cases. All surgeries were successfully performed with a mean time interval between nodule localization and surgery of 133.67 ± 103.36 min.

conclusionsThis prospective, single-center, single-arm clinical study suggests both feasibility and safety of an innovative robotic-assisted optical navigation system for the CT-guided percutaneous localization of pulmonary nodules using hook-wire technique, as well as satisfactory accuracy during the needle placement.

Indexed as

Lung NeoplasmsMultiple Pulmonary NodulesRobotic Surgical ProceduresSolitary Pulmonary NoduleSurgery, Computer-AssistedTomography, X-Ray ComputedAdultAgedFeasibility StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedPreoperative CarePrognosisCT-guidedLocalizationOptical navigationPulmonary nodulesRobotic-assisted

Identifiers

PMID41566503
PMCPMC12910915

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