Extended Reality (XR), Lung Cancers, Metaverse
Conditions
Keywords
Metaverse, Extended Reality (XR), Digital Twin, Localization of Pulmonary Nodules, uniportal VATS
Brief summary
Extended Reality (XR)-Assisted CT Localization of Pulmonary Nodules
Detailed description
The objective of this study is to investigate the safety and feasibility of extended reality (XR)-assisted computed tomography (CT)-guided localization of pulmonary nodules for preoperative tumor localization. The study aims to utilize a fully developed XR system to assist physicians in performing preoperative localization of pulmonary tumors, while also optimizing the workflow and efficiency of pulmonary nodule localization in a conventional CT suite. This study plans to enroll 30 patients at our institution who are scheduled to undergo thoracoscopic sublobar resection. The safety and feasibility of using an XR-assisted digital twin model for pulmonary nodule localization in a standard CT suite will be evaluated.
Interventions
PROCEDUREExtended Reality (XR)-Assisted CT Localization of Pulmonary Nodules
This study plans to collect approximately 30 localization cases from multiple centers within our institution. First, after patient positioning and immobilization in the computed tomography (CT) suite, a chest CT scan is performed. Imaging data are processed using semi-automatic segmentation and rapid reconstruction techniques to generate, in real time, a three-dimensional model that corresponds to the patient's current localization position. During the construction of the three-dimensional model, patients remain in a fixed position. To reduce anxiety and discomfort associated with waiting, patient education related to pulmonary nodule localization and thoracoscopic surgery is provided during this period. The educational content includes the purpose of the procedure, procedural steps, potential risks, and key points of postoperative care. Once model construction is completed, a metaverse-based XR platform is used in the same setting to overlay the digital twin model onto the patient's
Sponsors
National Taiwan University Hospital
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No
Inclusion criteria
* Patients aged between 18 and 80 who are scheduled to undergo lung nodule resection surgery. * Patients with lung nodules smaller than 2 cm that require preoperative localization. * Patients with lung nodules located in the outer one-third of the lung.
Exclusion criteria
* Patients requiring lobectomy. * Patients who have not provided written informed consent. * Vulnerable populations.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Localization accuracy | Immediatedly after Extended Reality (XR)-Assisted CT-Guided Localization | Procedures in this study will be conducted in a CT room. The accuracy of XR-assisted CT-guided localization will be assessed immediately after localization by employing in-room CT to determine the needle tip position and measure the distance to the target tumor. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Assessment of perioperative outcomes | The study assessment time frame from XR-assisted CT-guided localization to discharge is approximately 3 to 7 days. | Perioperative outcomes, including intraoperative blood loss, localization time, operative time, and the rate of localization-related complications, will be measured. We will assess whether the incorporation of the localization system leads to reductions in these parameters. |
Contacts
CONTACTXu-Heng Chiang
Outcome results
None listed