OBJECTIVE
The objective of this study was to analyze the potential and convenience of using mixed reality as a teaching tool for craniovertebral junction (CVJ) anomaly pathoanatomy.
METHODS
CT and CT angiography images of 2 patients with CVJ anomalies were used to construct mixed reality models in the HoloMedicine application on the HoloLens 2 headset, resulting in four viewing stations. Twenty-two participants were randomly allocated into two groups, with each participant rotating through all stations for 90 seconds, each in a different order based on their group. At every station, objective questions evaluating the understanding of CVJ pathoanatomy were answered. At the end, subjective opinion on the user experience of mixed reality was provided using a 5-point Likert scale. The objective performance of the two viewing modes was compared, and a correlation between performance and participant experience was sought. Subjective feedback was compiled and correlated with experience.
RESULTS
In both groups, there was a significant improvement in median (interquartile range [IQR]) objective performance with mixed reality compared with DICOM: 1) group A: case 1, median 6 (IQR 6–7) versus 5 (IQR 3–6), p = 0.009; case 2, median 6 (IQR 6–7) versus 5 (IQR 3–6), p = 0.02; 2) group B: case 1, median 6 (IQR 5–7) versus 4 (IQR 2–5), p = 0.04; case 2, median 6 (IQR 6–7) versus 5 (IQR 3–7), p = 0.03. There was significantly higher improvement in less experienced participants in both groups for both cases: 1) group A: case 1, r = −0.8665, p = 0.0005; case 2, r = −0.8002, p = 0.03; 2) group B: case 1, r = −0.6977, p = 0.01; case 2, r = −0.7417, p = 0.009. Subjectively, mixed reality was easy to use, with less disorientation due to the visible background, and it was believed to be a useful teaching tool.
CONCLUSIONS
Mixed reality is an effective teaching tool for CVJ pathoanatomy, particularly for young neurosurgeons and trainees. The versatility of mixed reality and the intuitiveness of the user experience offer many potential applications, including training, intraoperative guidance, patient counseling, and individualized medicine; consequently, mixed reality has the potential to transform neurosurgery.