In Silico Pace Mapping To Optimise Ventricular Tachycardia Ablation
NCT05500365 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 25
Last updated 2023-03-13
Summary
People who suffer from incessant cardiac arrhythmias receive a small electrical device implanted into their chest that automatically senses when the heart beats arrhythmically and applies electrical pulse to re-establish normal activity. However, if problems persist, people can have an operation called catheter ablation therapy, which involves 'burning' small areas of the heart tissue in order to permanently disrupt the problematic electrical pathways driving these arrhythmias.
However, procedure times and complication rates are high, whist success rates are punitively low (\~50% success), largely due to the significant challenge clinicians face in identifying the ideal 'target' to ablate within the patient's heart. In this project, the investigators aim to develop, and clinically validate, an in silico tool that reconstructs a personalised computational model of a patient's heart using advanced MRI data, upon which a virtual 'mapping' procedure is then performed in order to identify (in the model) the optimal ablation target. This pre-procedural planning tool utilises stored information about the patient's specific arrhythmia from their implanted device, ensuring optimal targets are selected. The approach aims to reduce procedure times whilst increasing their safety, and ensure significantly increased long-term effectiveness of these invasive ablation procedures, increasing survival rates and quality-of-life.
This study is concerned with the clinical arm of the study, specifically, in the collection of data from patients in order to (retrospectively) validate the computational model. The model itself will not be applied or used to treat these patients.
Conditions
- Ventricular Tachycardia
Interventions
- PROCEDURE
-
Catheter ablation therapy
Pace mapping procedure performed during catheter ablation therapy
Sponsors & Collaborators
- collaborator OTHER
-
Guy's and St Thomas' NHS Foundation Trust
lead OTHER
Principal Investigators
-
Aldo Rinaldi, MD · St Thomas' Hospital
Eligibility
- Min Age
- 18 Years
- Max Age
- 99 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2023-10-01
- Primary Completion
- 2025-04-01
- Completion
- 2025-10-01
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