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Over the past decade, the global incidence of thyroid nodules has risen to 29.29%, reflecting an increase of 7.76% compared to the previous decade. This trend positions thyroid nodules as one of the most prevalent diseases1. Concurrently, the incidence of thyroid cancer has reached 20/100,000, ranking it seventh among all cancers and third among females. Radical surgery remains the preferred treatment approach2.
Thyroidectomy can be categorized into open, endoscopic, and robotic surgeries. Endoscopic thyroidectomy (ET) is a form of cosmetic surgery that employs the length of endoscopic instruments to create subcutaneous tunnels through incisions made in the areola, axilla, oral cavity, and other concealed areas, thereby facilitating a scarless appearance in the neck. This approach is particularly appealing to women, who constitute the majority of thyroid cancer patients3. However, ET still requires further optimization from a surgical perspective. Firstly, ET is challenged by limited surgical space and a lack of tactile feedback, which complicates the operation and contributes to a prolonged learning curve4. Secondly, the thyroid possesses special physiological functions and complex local anatomy, making ET susceptible to serious complications, such as hypoparathyroidism and recurrent laryngeal nerve (RLN) injury5. Additionally, thyroid cancer often presents with occult lymphatic metastasis, and incomplete cervical lymph node dissection may further elevate the risk of postoperative lymphatic recurrence6, leading to the necessity for secondary or even multiple surgeries in some patients.
Artificial intelligence (AI) is an emerging field that seeks to simulate and enhance human intelligence through computer algorithms. Extended reality (XR) is a category of AI techniques that can deliver highly realistic audiovisual information in real-time, particularly suited for surgical applications7. Mixed reality (MR), a subset of XR, integrates virtual holograms with real-world entities, enabling users to interact seamlessly between reality and virtual environments8. Three-dimensional (3D) reconstruction is a computer graphics technique that transforms two-dimensional (2D) images composed of pixels into 3D models made up of voxels. The presentation of 3D models is crucial, and the primary application of MR in surgery involves displaying 3D models constructed from tomographic images, such as computed tomography (CT) and magnetic resonance imaging (MRI).
In this study, MR was utilized to assist in radical ETwith the aim of enhancing its efficacy and safety while reducing surgical complexity. Patients diagnosed with thyroid cancer who met specified inclusion and exclusion criteria were randomly assigned to either the experimental group or the control group. Those in the experimental group underwent MR-assisted radical ET. A comparative analysis of the surgical outcomes between the two groups was conducted. Furthermore, the National Aeronautics and Space Administration Task Load Index Scale (NASA-TLX) and the Likert Subjective Rating Scale were employed to assess the impact of MR-assisted ET on the surgeons. NASA-TLX is recognized as the gold standard for subjective workload assessment and comprises six dimensions: mental demand (MD), physical demand (PD), temporal demand (TF), own performance (OP), effort (EF), and frustration (FR)9. Each dimension is rated independently on a scale of 0 to 100. The Likert Subjective Rating Scale includes a series of questions with five response levels ranging from very satisfied (5 points) to very dissatisfied (1 point), with the intermediate levels being satisfied (4 points), acceptable (3 points), and dissatisfied (2 points).