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

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.

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Publication Details

Journal
Journal of Robotic Surgery
Published
2025-10-14
DOI
https://doi.org/10.1007/s11701-025-02824-1
Citations
1
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.52

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article

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

Bingding Huang, Zhuang Tong, Gebang Wang, Xueling Zhang et al.
1 citations
Journal of Robotic Surgery
Lung Cancer Diagnosis and Treatment
1.52
article

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

Bingding Huang, Zhuang Tong, Gebang Wang, Xueling Zhang, Weiguo Xie, Zheng Wang, Pengfei Li, Zheyu Liu, Wenheng Zheng, Liang Zhang, Yu Liu, Yegang Ma, Han Yao, Hongxu Liu, Chang-Jing Zhang
article en
1 citations

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.

Journal of Robotic SurgeryVol. 19(1)
University of Würzburg (DE), Shenzhen Technology University (CN), Liaoning Cancer Hospital & Institute (CN), China Medical University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 14%
Lung Cancer Diagnosis and Treatment
1.52
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