Evidence map›Paper›PMID 41085895›Full record

ArticleJournal of robotic surgery2025

Preliminary clinical experience with a robot-assisted system in preoperative hookwire localization of pulmonary nodules: a prospective pilot study.

Pengfei Li, Wenheng Zheng, Zheng Wang, Xueling Zhang, Zhuang Tong, Liang Zhang, Hehuan Yao, Chenlei Zhang, Gebang Wang, Yu Liu and 5 more

Abstract read
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Pengfei Li *Department of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Shenyang, 110042, China.
Wenheng Zheng *Department of Interventional Radiology, Liaoning Cancer Hospital & Institute, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Shenyang, 110042, China.
Zheng Wang *Department of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Shenyang, 110042, China.
Xueling ZhangWürzburg Dynamics Ltd., Shenzhen, 518000, China.
Zhuang TongDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Shenyang, 110042, China.
Liang ZhangDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Shenyang, 110042, China.
Hehuan YaoDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Shenyang, 110042, China.
Chenlei ZhangDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Shenyang, 110042, China.
Gebang WangDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Shenyang, 110042, China.
Yu LiuDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Shenyang, 110042, China.
Zheyu LiuDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Shenyang, 110042, China.
Yegang MaDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Shenyang, 110042, China.
Weiguo XieWürzburg Dynamics Ltd., Shenzhen, 518000, China.
Bingding HuangCollege of Big Data and Internet, Shenzhen Technology University, Shenzhen, 518118, China. huangbingding@sztu.edu.cn.
Hongxu LiuDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Shenyang, 110042, China. liuhongxu3366@163.com.

Funding

Shenzhen Science and Technology Program KJZD20240903095605007
6 · The paper itself

Abstract

Accurate preoperative localization is critical for the surgical resection of small pulmonary nodules, yet conventional CT-guided hookwire placement remains operator-dependent and technically demanding. This prospective study evaluated the clinical performance of a robot-assisted navigation system for CT-guided preoperative hookwire localization of pulmonary nodules. The trial enrolled 60 patients scheduled for localization followed by VATS. Primary endpoints included first-attempt puncture success rate, needle placement accuracy, localization success rate, procedure duration, number of punctures, radiation dose, and complication rate, with subgroup analyses by lesion characteristic and patient positioning. The first-attempt puncture success rate was 100.0%, with an median needle placement accuracy of 5.7 mm (IQR 4.2-7.9). Localization success was achieved in 94.8% of nodules (55/58). The median procedure duration was 16.6 min (14.0-22.9), and the median radiation dose was 281.2 mGy·cm (227.1-365.8). The overall complication rate was 5.2% (3/58). Accuracy was consistent across subgroups, although lower lobe lesions and prone positioning were associated with longer procedure times, and prone positioning also increased radiation exposure, without compromising accuracy. These findings demonstrate the feasibility, precision, and safety of this system, supporting its potential to standardize and improve preoperative localization in thoracic surgery. Trial registration: Registry: https://www.chictr.org.cn/ , TRN: ChiCTR2500095919, Registration date: January 15, 2025.

Indexed as

Lung NeoplasmsMultiple Pulmonary NodulesPreoperative CareRobotic Surgical ProceduresSolitary Pulmonary NoduleThoracic Surgery, Video-AssistedAgedFemaleHumansMaleMiddle AgedPilot ProjectsProspective StudiesTomography, X-Ray ComputedCT-guided percutaneousHookwire preoperative localizationPulmonary nodules

Identifiers

PMID41085895
PMCPMC12521279

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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.