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Not yet recruiting NCT06976684

Application of Extended Reality (XR)-Assisted CT-Guided Localization of Pulmonary Nodules in Thoracoscopic Sublobar Resection.

No phase Interventional Lung Cancers Metaverse Virtual Surgical Simulation Extended Reality (XR)

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-Guided Localization.
Who it may be relevant to
Registry conditions: Lung Cancers, Metaverse, Virtual Surgical Simulation, 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 →

Unsure about the terms? Read our patient guide →

Overview

Reality (XR)-Assisted CT-Guided Localization

Detailed description

With the widespread use of computed tomography (CT), lung nodules detected through screening have become increasingly smaller. These small nodules are often hidden within the lung parenchyma, making them difficult to visualize or palpate during surgery. As a result, nodule localization techniques have become critically important and are heavily relied upon by thoracic surgeons. Currently, CT-guided localization is the standard approach; however, this requires patients to move between the CT suite, the ward, and the operating room, which is highly inconvenient.

An alternative is the use of a one-stop hybrid operating room, which integrates imaging and surgery in a single space, but this solution is costly. This study aims to enroll 20 patients in a pilot investigation of using extended reality (XR)-guided localization in video-assisted thoracoscopic surgery (VATS) for lung nodule resection. By leveraging current XR technologies, a digital twin model will be superimposed onto the patient's body. Our team-developed virtual localization technique will then be used to mark the tumor site with dye, enabling surgeons to precisely excise the tumor with minimal tissue removal.

If successful, this technology has the potential to replace traditional CT-guided or hybrid operating room localization, thereby reducing patient inconvenience and financial burden, and ultimately achieving a streamlined and cost-effective surgical workflow.

Interventions

  • Procedure Extended Reality (XR)-Assisted CT-Guided Localization
    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 Bl

Primary outcome measures

  • The Accuracy of Extended Reality (XR)-Assisted CT-Guided Localization [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 younger than 18 or older than 80 years.
  • 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: NCT06976684 · 202502149RINB

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗