Extended Reality (XR)-Assisted CT Localization of Pulmonary Nodules
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Extended Reality (XR)-Assisted CT Localization of Pulmonary Nodules.
- Who it may be relevant to
- Registry conditions: Lung Cancers, Metaverse, Extended Reality (XR). Basic parameters: 18 years — 80 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
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
- Procedure 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 mode
Primary outcome measures
- Localization accuracy [Time frame: Immediatedly after Extended Reality (XR)-Assisted CT-Guided Localization]
Secondary outcome measures (1)
- 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.]
Eligibility criteria
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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- N/A
- Model
- Single group
- Masking
- Open label
- Primary purpose
- Treatment
Study locations
Center list to be confirmed — check the primary protocol.
Identifiers
NCT: NCT07434167 · 202601025RINB