Extended Reality (XR)-Assisted CT Localization of Pulmonary Nodules

NCT07434167 | Not Yet Recruiting

• 1 other identifier: 202601025RINB
• Study Type: interventional
• Target: 30
• Locations: 0 countries
• Sites: N/A

Brief Summary

Extended Reality (XR)-Assisted CT Localization of Pulmonary Nodules

Conditions

Lung Cancers; Metaverse; Extended Reality (XR)

Keywords

Metaverse; Extended Reality (XR); Digital Twin; Localization of Pulmonary Nodules; uniportal VATS

Outcome Measures

Primary Outcomes (1)

• Localization accuracy

  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.

  Immediatedly after Extended Reality (XR)-Assisted CT-Guided Localization

Secondary Outcomes (1)

• Assessment of perioperative outcomes

  The study assessment time frame from XR-assisted CT-guided localization to discharge is approximately 3 to 7 days.

Study Arms (1)

Extended Reality (XR)-Assisted CT Localization of Pulmonary Nodules

EXPERIMENTAL

Procedure: Extended Reality (XR)-Assisted CT Localization of Pulmonary Nodules

Interventions

Extended Reality (XR)-Assisted CT Localization of Pulmonary Nodules PROCEDURE

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

Extended Reality (XR)-Assisted CT Localization of Pulmonary Nodules

Eligibility Criteria

• Age: 18 Years - 80 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• 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.

You may not qualify if:

• Patients requiring lobectomy.
• Patients who have not provided written informed consent.
• Vulnerable populations.

Sponsors & Collaborators

• National Taiwan University Hospital: lead

MeSH Terms

Conditions

Lung Neoplasms

Condition Hierarchy (Ancestors)

Respiratory Tract Neoplasms; Thoracic Neoplasms; Neoplasms by Site; Neoplasms; Lung Diseases; Respiratory Tract Diseases

Central Study Contacts

Xu-Heng Chiang

CONTACT

88672655136; lycansblueray@gmail.com

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: TREATMENT
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: February 5, 2026
• First Posted: February 25, 2026
• Study Start: March 1, 2026
• Primary Completion (Estimated): December 1, 2026
• Study Completion (Estimated): December 1, 2026
• Last Updated: February 25, 2026

Record last verified: 2026-02

Data Sharing

• IPD Sharing: Will not share