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

February 22, 2026 updated by: National Taiwan University Hospital
Extended Reality (XR)-Assisted CT Localization of Pulmonary Nodules

Study Overview

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.

Study Type

Interventional

Enrollment (Estimated)

30

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Extended 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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
Immediatedly after Extended Reality (XR)-Assisted CT-Guided Localization

Secondary Outcome Measures

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

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

March 1, 2026

Primary Completion (Estimated)

December 1, 2026

Study Completion (Estimated)

December 1, 2026

Study Registration Dates

First Submitted

February 5, 2026

First Submitted That Met QC Criteria

February 22, 2026

First Posted (Actual)

February 25, 2026

Study Record Updates

Last Update Posted (Actual)

February 25, 2026

Last Update Submitted That Met QC Criteria

February 22, 2026

Last Verified

February 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

De-identified individual participant data (IPD) collected during this study will generally not be shared with other researchers, primarily due to patient privacy considerations. However, limited access to de-identified IPD may be considered in exceptional cases upon a reasonable request.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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