Smartphone Augmented Reality CT-Based Platform for Needle Insertion Guidance: A Phantom Study

摘要

Objective To develop and assess the accuracy of an augmented reality (AR) needle guidance smartphone application. Methods A needle guidance AR smartphone application was developed using Unity and Vuforia SDK platforms, enabling real-time displays of planned and actual needle trajectories. To assess the application's accuracy in a phantom, eleven operators (including interventional radiologists, non-interventional radiology physicians, and non-physicians) performed single-pass needle insertions using AR guidance (n = 8) and CT-guided freehand (n = 8). Placement errors were measured on post-placement CT scans. Two interventional radiologists then used AR guidance (n = 3) and CT-guided freehand (n = 3) to navigate needles to within 5 mm of targets with intermediate CT scans permitted to mimic clinical use. The total time and number of intermediate CT scans required for successful navigation were recorded. Results In the first experiment, the average operator insertion error for AR-guided needles was 78% less than that for CT-guided freehand (2.69 +/- 2.61 mm vs. 12.51 +/- 8.39 mm, respectively, p < 0.001). In the task-based experiment, interventional radiologists achieved successful needle insertions on each first attempt when using AR guidance, thereby eliminating the need for intraoperative CT scans. This contrasted with 2 +/- 0.9 intermediate CT scans when using CT-guided freehand. Additionally, average procedural times were reduced from 13.1 +/- 6.6 min with CT-guided freehand to 4.5 +/- 1.3 min with AR guidance, reflecting a 66% reduction. Conclusions All operators exhibited superior needle insertion accuracy when using the smartphone-based AR guidance application compared to CT-guided freehand. This AR platform can potentially facilitate percutaneous biopsies and ablations by improving needle insertion accuracy, expediting procedural times, and reducing radiation exposures.