Name
Abstract | ||
|---|---|---|
Percutaneous biopsies are popular for extracting suspicious tissue formations (primarily for cancer diagnosis purposes) due to the: relatively low cost, minimal invasiveness, quick procedure times, and low risk for the patient. Despite the advantages provided by percutaneous biopsies, poor needle and tumor visualization is a problem that can result in the clinicians classifying the tumor as benign when it was malignant (false negative). The system developed by the authors aims to address the concern of poor needle and tumor visualization through two virtualization setups. This system is designed to track and visualize the needle and tumor in three-dimensional space using an electromagnetic tracking system. User trials were conducted in which the 10 participants, who were not medically trained, performed a total of 6 tests, each guiding the biopsy needle to the desired location. The users guided the biopsy needle to the desired point on an artificial spherical tumor (diameters of 30, 20, and 10 mm) using the 3D augmented reality (AR) overlay for three trials and a projection on a second monitor (TV) for the other three trials. From the randomized trials, it was found that the participants were able to guide the needle tip 6.5 +/- 3.3 mm away from the desired position with an angle deviation of 1.96 +/- 1.10 degrees in the AR trials, compared to values of 4.5 +/- 2.3 mm and 2.70 +/- 1.67 degrees in the TV trials. The results indicate that for simple stationary surgical procedures, an AR display is non-inferior a TV display. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3389/frobt.2020.00072 | FRONTIERS IN ROBOTICS AND AI |
Keywords | DocType | Volume |
biopsy,augmented reality (AR),needle guidance,minimally invasive surgery (MIS),oncology | Journal | 7.0 |
ISSN | Citations | PageRank |
2296-9144 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Asgar-Deen | 1 | 0 | 0.34 |
| Jay Carriere | 2 | 4 | 4.27 |
| Ericka Wiebe | 3 | 0 | 0.34 |
| Lashan Peiris | 4 | 0 | 0.34 |
| Aalo Duha | 5 | 0 | 0.34 |
| Mahdi Tavakoli | 6 | 223 | 49.03 |