The Application of Mixed Reality to Sentinel Lymph Node Biopsy in Breast Cancer

Abstract

Objective: To explore the value of mixed reality (MR) in sentinel lymph node biopsy (SLNB) in patients with breast cancer.

Methods: A total of 300 patients with breast cancer who underwent SLNB enrolled and were randomly divided into two groups. In group A, only dye (an injection of methylene blue) was used to detect sentinel lymph nodes, while in group B MR was used for positioning in addition to dye. (MR localization method: Before the surgery, we built a 1:1 3D reconstruction model based on the patient's CT or MRI original data, and after the patient was injected with dye, we completed MR localization by overlapping the pre-marked image with the model.) RESULTS: During surgery, the detection time in group B was significantly shorter than in group A (3.62 ± 1.20 vs.7.87 ± 1.86; p < 0.001). At 1-month post-surgery follow-up, the incidence of pain in group B was lower than that in group A (2.70 vs. 8.28%, p = 0.036). The incidence of upper limb dysfunction was lower in group B than in group A (2.03 vs. 8.97%, p = 0.009). In terms of the incidence of pain, group B was better than group A (0.68 vs. 3.45%, p = 0.094). The satisfaction of the two groups was scored, and the results showed that group B was better than group A (4.04 ± 0.91 vs.3.32 ± 0.94, p < 0.001).

Conclusion: The application of MR to SLNB in breast cancer can significantly reduce the detection time and the occurrence of complications and improve patient satisfaction.