Application of Extended Reality (XR)-Assisted CT-Guided Localization of Pulmonary Nodules in Thoracoscopic Sublobar Resection.
1 other identifier
interventional
20
0 countries
N/A
Brief Summary
Reality (XR)-Assisted CT-Guided Localization
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started May 2025
Shorter than P25 for not_applicable
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 24, 2025
CompletedStudy Start
First participant enrolled
May 1, 2025
CompletedFirst Posted
Study publicly available on registry
May 16, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2025
CompletedMay 16, 2025
April 1, 2025
7 months
April 24, 2025
May 13, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The Accuracy of Extended Reality (XR)-Assisted CT-Guided Localization
Procedures in this study will be conducted in a hybrid operating room featuring cone-beam CT. The accuracy of XR-assisted CT-guided localization will be assessed immediately post-localization by employing cone-beam CT to ascertain 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-Guided Localization
EXPERIMENTALInterventions
This study plans to collect approximately 20 localization cases from multiple centers within our hospital. Initially, two sets of preoperative simulated CT scans (at end-inhalation and end-exhalation) will be performed in the CT suite to construct a usable model of the surgical posture and the lesion. Subsequently, in the hybrid operating room, a digital twin model will be applied to the patient using a metaverse platform. Guided by virtual localization lines, percutaneous injection of Patent Blue dye will be carried out at end-exhalation for accurate marking of the lesion. Immediately after the injection, intraoperative CT within the hybrid operating room will be used to verify the localization. If the accuracy is suboptimal (with a deviation greater than 2 cm), standard CT-guided Patent Blue dye localization will be performed as a supplementary measure to complete the localization and proceed with surgery.
Eligibility Criteria
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 younger than 18 or older than 80 years.
- Patients requiring lobectomy.
- Patients who have not provided written informed consent.
- Vulnerable populations.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
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
April 24, 2025
First Posted
May 16, 2025
Study Start
May 1, 2025
Primary Completion
December 1, 2025
Study Completion
December 1, 2025
Last Updated
May 16, 2025
Record last verified: 2025-04
Data Sharing
- IPD Sharing
- Will not share
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.