Computational Cardiac Imaging Analysis to Guide Ventricular Tachycardia Ablation Procedures (AI-VT)
NCT ID: NCT06964152
Last Updated: 2025-05-09
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ENROLLING_BY_INVITATION
NA
250 participants
INTERVENTIONAL
2024-05-01
2034-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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VT ablation guided by supplemental non-invasive computational imaging analysis
The electrophysiologist performing the standard-of-care VT ablation will have access to supplemental arrhythmia targeting/localization information provided by computational non-invasive ECG and/or cardiac CT imaging analysis
Computational electrocardiography and cardiac computed tomography mapping
Use of non-invasive computational ECG and cardiac CT models to localize arrhythmia origins
Interventions
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Computational electrocardiography and cardiac computed tomography mapping
Use of non-invasive computational ECG and cardiac CT models to localize arrhythmia origins
Eligibility Criteria
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Inclusion Criteria
2. Evidence of ventricular tachycardia on ECG, telemetry or by CIED interrogation.
21 Years
90 Years
ALL
No
Sponsors
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University of California, San Diego
OTHER
Responsible Party
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Gordon Ho
Principal Investigator, Cardiac Electrophysiology Physician
Locations
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UC San Diego Health
La Jolla, California, United States
Countries
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References
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Krummen DE, Villongco CT, Ho G, Schricker AA, Field ME, Sung K, Kacena KA, Martinson MS, Hoffmayer KS, Hsu JC, Raissi F, Feld GK, McCulloch AD, Han FT. Forward-Solution Noninvasive Computational Arrhythmia Mapping: The VMAP Study. Circ Arrhythm Electrophysiol. 2022 Sep;15(9):e010857. doi: 10.1161/CIRCEP.122.010857. Epub 2022 Sep 7.
Other Identifiers
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171964
Identifier Type: -
Identifier Source: org_study_id
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