XR-assisted CT-guided localization for EC-IC bypass in Moyamoya and chronic cerebral ischemia

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study will use the NTU OpVerse platform to import preoperative CT images into a metaverse-based simulation for EC-IC bypass procedures. Extended reality will guide precise localization of donor and recipient vessels during surgery. The primary goal is to measure localization accuracy, with secondary aims to see if the technology enables a minimally invasive approach and enhances surgical safety. Participants are adults with moyamoya or chronic intracranial ICA disease scheduled for STA-based revascularization at National Taiwan University Hospital. The study will assess feasibility and potential benefits of XR-guided planning and intraoperative localization in real-world clinical settings.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Adult patients diagnosed with ischemic moyamoya disease, moyamoya syndrome, or chronic intracranial internal carotid artery stenosis or occlusion (chronic ICA stenosis/occlusion).
* Patients scheduled to undergo extracranial-intracranial bypass surgery (EC-IC bypass), including superficial temporal artery-middle cerebral artery bypass (STA-MCA bypass), superficial temporal artery trunk-interposition graft-middle cerebral artery bypass (STA trunk-graft-MCA bypass), or other cerebral revascularization procedures using the superficial temporal artery or another branch of the external carotid artery system (STA/ECA system) as the donor blood supply.

Exclusion Criteria:

* Presence of a contraindication to computed tomography (CT) scanning.
* Presence of a severe systemic illness that would prevent participation in subsequent study assessments, such as poorly controlled diabetes mellitus, active malignancy, or severe cardiac disease.
* The need for emergency surgery without sufficient time to complete image-based modeling and registration.
* Presence of scalp lesions, wounds, or anatomical deformities that prevent reliable surface registration.
* The XR registration result is considered unreliable by the research team and may potentially compromise surgical safety.

Where it's running

• National Taiwan University Hospital
  Taipei, Taiwan Recruiting

Study contacts

• Study coordinator: Chiu Hao Hsu
• Email: newmanhsu0814@gmail.com
• Phone: 88623123456

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.