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Related Experiment Video

Updated: Jul 8, 2025

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Robotic-assisted navigation system for preoperative lung nodule localization: a pilot study.

Jun Liu1, Yu Jiang1, Rui He2

  • 1Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.

Translational Lung Cancer Research
|December 13, 2023
PubMed
Summary

A new robotic system precisely locates small lung nodules for cancer diagnosis. This advanced method offers a safe and accurate alternative to traditional techniques, improving early-stage lung cancer treatment.

Keywords:
Robotic-assistedlung nodulenavigation systempreoperative localizationvideo-assisted thoracoscopic surgery (VATS)

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Area of Science:

  • Medical robotics
  • Thoracic surgery
  • Diagnostic imaging

Background:

  • Percutaneous computed tomography (CT)-guided localization is crucial for early lung cancer diagnosis and treatment.
  • Conventional manual localization methods for pulmonary nodules have accuracy limitations.
  • A novel robotic-assisted navigation system was developed to enhance the precision of small lung nodule localization.

Purpose of the Study:

  • To investigate the clinical accuracy of a novel robotic-assisted navigation system for pulmonary nodule localization.
  • To evaluate the safety and efficacy of this robotic system in comparison to traditional methods.

Main Methods:

  • A robotic-assisted navigation system created a 3D model from CT images to determine the optimal puncture path.
  • The system guided percutaneous puncture for indocyanine green (ICG) injection to localize nodules.
  • Key outcomes included localization accuracy, complication rates, procedure duration, and radiation exposure.

Main Results:

  • The robotic system achieved 100% first-pass success in localizing 33 pulmonary nodules.
  • Median deviation between the localizer and nodule was 6.1 mm.
  • No complications were reported, with a median localization time of 25.0 minutes.

Conclusions:

  • The robotic-assisted navigation system demonstrated high accuracy and safety for percutaneous lung nodule localization.
  • This innovative system presents a promising and viable alternative to conventional manual CT-guided techniques.
  • The findings support the potential of robotic assistance in improving early lung cancer diagnosis and treatment.