[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100626325":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":11,"centralContacts":19,"locations":11,"responsibleParty":25,"collaborators":11,"id":27,"slug":28,"hasResults":29,"nctId":30,"briefTitle":9,"officialTitle":9,"acronym":11,"eligibilityCriteria":31,"healthyVolunteers":29,"sex":32,"minAge":33,"maxAge":34,"enrollmentInfo":35,"targetDuration":11,"studyType":38,"phases":39,"briefSummary":9,"conditions":41,"keywords":45,"overallStatus":49,"whyStopped":11,"lastUpdateSubmitDate":50,"lastUpdatePostDateStruct":51,"startDateStruct":54,"completionDateStruct":56,"leadSponsor":58,"locationsCount":11},{"fullName":5,"class":6},"National Taiwan University Hospital","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Extended Reality (XR)-Assisted CT Localization of Pulmonary Nodules","EXPERIMENTAL",null,[13],"Procedure: Extended Reality (XR)-Assisted CT Localization of Pulmonary Nodules",[15],{"type":16,"name":9,"description":17,"armGroupLabels":18,"otherNames":11},"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.\n\nDuring 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",[9],[20],{"name":21,"role":22,"phone":23,"phoneExt":11,"email":24},"Xu-Heng Chiang","CONTACT","88672655136","lycansblueray@gmail.com",{"type":26,"investigatorFullName":11,"investigatorTitle":11,"investigatorAffiliation":11,"oldNameTitle":11,"oldOrganization":11},"SPONSOR","100626325","extended-reality-xr-assisted-ct-localization-of-pulmonary-nodules-100626325",false,"NCT07434167","Inclusion Criteria:\n\n* Patients aged between 18 and 80 who are scheduled to undergo lung nodule resection surgery.\n* Patients with lung nodules smaller than 2 cm that require preoperative localization.\n* Patients with lung nodules located in the outer one-third of the lung.\n\nExclusion Criteria:\n\n* Patients requiring lobectomy.\n* Patients who have not provided written informed consent.\n* Vulnerable populations.","ALL","18 Years","80 Years",{"count":36,"type":37},30,"ESTIMATED","INTERVENTIONAL",[40],"NA",[42,43,44],"Lung Cancers","Metaverse","Extended Reality (XR)",[43,44,46,47,48],"Digital Twin","Localization of Pulmonary Nodules","uniportal VATS","NOT_YET_RECRUITING","2026-02-22",{"date":52,"type":53},"2026-02-25","ACTUAL",{"date":55,"type":37},"2026-03",{"date":57,"type":37},"2026-12",{"name":5,"class":6}]