Extended Reality (XR)-Assisted CT Local… | Clinical Trial

Key information

Conditions

Lung Cancers Extended Reality (XR) Lung Diseases Lung Neoplasms Metaverse Neoplasms Neoplasms by Site Respiratory Tract Diseases Respiratory Tract Neoplasms Thoracic Neoplasms

Age range

18 year–80 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

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

Primary outcomes

Localization accuracy

Time frame: 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 outcomes

Assessment of perioperative outcomes

Time frame: 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.

Study contacts

Contact information is provided by the study sponsor or research team.

Xu-Heng Chiang

CONTACT

[email protected]

88672655136

Sponsors and collaborators

Lead sponsor

National Taiwan University Hospital

Other

Registry information

Important dates

Study start: 2026
Primary completion: 2026
Study completion: 2026
First posted: Feb 25, 2026
Registry last updated: Feb 25, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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