1. Percutaneous Lung Biopsies With Robotic Systems: A Systematic Review of Available Clinical Solutions.
- Author
-
Bodard S, Guinebert S, Petre EN, Alexander E, Marinelli B, Sarkar D, and Cornelis FH
- Subjects
- Humans, Biopsy, Needle methods, Biopsy, Needle instrumentation, Lung Diseases pathology, Lung Neoplasms pathology, Lung Neoplasms diagnostic imaging, Image-Guided Biopsy methods, Image-Guided Biopsy instrumentation, Lung diagnostic imaging, Lung pathology, Robotic Surgical Procedures instrumentation, Robotic Surgical Procedures methods
- Abstract
Objectives: This systematic review aims to assess existing research concerning the use of robotic systems to execute percutaneous lung biopsy. Methods: A systematic review was performed and identified 4 studies involving robotic systems used for lung biopsy. Outcomes assessed were operation time, radiation dose to patients and operators, technical success rate, diagnostic yield, and complication rate. Results: One hundred and thirteen robot-guided percutaneous lung biopsies were included. Technical success and diagnostic yield were close to 100%, comparable to manual procedures. Technical accuracy, illustrated by needle positioning, showed less frequent needle adjustments in robotic guidance than in manual guidance ( P < .001): 2.7 ± 2.6 (range 1-4) versus 6 ± 4 (range 2-12). Procedure time ranged from comparable to reduced by 35% on average (20.1 ± 11.3 minutes vs 31.4 ± 10.2 minutes, P = .001) compared to manual procedures. Patient irradiation ranged from comparable to reduced by an average of 40% (324 ± 114.5 mGy vs 541.2 ± 446.8 mGy, P = .001). There was no significant difference in reported complications between manual biopsy and biopsies that utilized robotic guidance. Conclusion: Robotic systems demonstrate promising results for percutaneous lung biopsy. These devices provide adequate accuracy in probe placement and could both reduce procedural duration and mitigate radiation exposure to patients and practitioners. However, this review underscores the need for larger, controlled trials to validate and extend these findings., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Francois H. Cornelis is a consultant for GE Healthcare and XACT robotics.
- Published
- 2024
- Full Text
- View/download PDF