Abstract
To investigate the feasibility of a robotic system with artificial intelligence-based lesion detection and path planning for CT-guided biopsy, compared to the conventional freehand technique. Eight nodules within an abdominal phantom, incorporating the simulated vertebrae and ribs, were designated as targets. A robotic system was used for lesion detection, trajectory generation, and needle-holder positioning. Four interventional radiologists with over 5 years of experience and four with 5 years or less performed 96 robot-assisted insertions encompassing both in-plane and out-of-plane trajectories. Additionally, 32 CT fluoroscopy-guided freehand needle insertions were performed along the in-plane trajectories. The three-dimensional (3D), lateral, depth deviations, and insertion time were quantified using post-needle insertion CT scans. Statistical analysis was performed using the unpaired t-test or one-way analysis of variance, with a significance level of P<0.05. The system detected all the target lesions and generated appropriate needle paths. Robot-assisted insertions exhibited significantly smaller 3D and depth deviations than freehand insertions (3.8 ± 1.3 vs. 4.7 ± 1.6 mm, P = 0.001 and 1.8 ± 1.2 vs. 2.6 ± 1.8 mm, P = 0.005, respectively). No significant difference was observed in lateral deviations (3.0 ± 1.5 vs. 3.5 ± 1.5 mm, P = 0.118). Robotic assistance significantly reduced insertion time compared to freehand insertion (17.3 ± 7.8 vs. 78.6 ± 38.1 sec, P < 0.001). The same trends were observed between the two groups of radiologists. The robotic system has the potential to shorten puncture time while maintaining sufficient accuracy in CT-guided procedures.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call