NCT06461715

Brief Summary

The investigator's project proposes the development of a 3D hybrid guidance system which has the aim of avoidance of scar and septal perforation through targeted lead deployment via a personalised septal real time image overlay onto x-ray fluoroscopy imaging during left bundle branch pacing. The investigators hypothesise that the use of cardiac anatomy and myocardial scar distribution derived from cardiac magnetic resonance imaging (MRI) as well as 3D position of the pacing lead, may improve LBBAP lead deployment success and improve clinical outcomes by guiding the physician towards optimal lead positioning.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
300

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jul 2024

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

June 5, 2024

Completed
12 days until next milestone

First Posted

Study publicly available on registry

June 17, 2024

Completed
14 days until next milestone

Study Start

First participant enrolled

July 1, 2024

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 31, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

May 31, 2025

Completed
Last Updated

June 17, 2024

Status Verified

June 1, 2024

Enrollment Period

11 months

First QC Date

June 5, 2024

Last Update Submit

June 14, 2024

Conditions

Keywords

Left bundle branch pacingPacemakerArtificial intelligenceConduction system pacing

Outcome Measures

Primary Outcomes (1)

  • Detection of the position of the left bundle branch area on x-ray fluoroscopy

    The accuracy of left bundle branch area detection will be measured as intersection-over-union (IoU) with the use of a convolutional neural network

    12 months

Study Arms (1)

Left bundle branch pacing group

Patients who underwent left bundle branch pacing

Other: Machine learning with artificial intelligence software program

Interventions

This is a retrospective observational study using cardiac MRI, cardiac CT and x-ray fluoroscopy images to develop a 3D hybrid guidance system with the use of deep learning methods.

Left bundle branch pacing group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Anonymised images from patients who took part in the TACTIC-CRT (IRAS 250715) and Cardiac CT to guide Cardiac Resynchronisation Therapy (CRT) implantation (IRAS 150161) or who received left bundle branch pacing and had a cardiac MRI

You may qualify if:

  • All patients who took part in the TACTIC-CRT (IRAS 250715) and Cardiac CT to guide Cardiac Resynchronisation Therapy (CRT) implantation (IRAS 150161) study.
  • All patients who received a LBBA pacing device from the GSTT/RBH/ICH database in the last 10 years (from 01/01/2014) and had a cardiac MRI for assessment of scar.
  • All patients who are \>18 years old.
  • Male and Female

You may not qualify if:

  • All patients \<18 years old
  • Patients with congenital heart disease
  • Patients who did not have a cardiac MRI before receiving a LBBA pacing device

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Imperial College Nhs Healthcare Trust

London, W12 0HS, United Kingdom

Location

MeSH Terms

Conditions

Heart FailureBradycardia

Interventions

Machine Learning

Condition Hierarchy (Ancestors)

Heart DiseasesCardiovascular DiseasesArrhythmias, CardiacPathologic ProcessesPathological Conditions, Signs and Symptoms

Intervention Hierarchy (Ancestors)

Artificial IntelligenceAlgorithmsMathematical Concepts

Central Study Contacts

Aldo Rinaldi, MD, MBBS, FRCP, FHRS

CONTACT

Sandra Howell, MBBS, MSc, MSc

CONTACT

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

June 5, 2024

First Posted

June 17, 2024

Study Start

July 1, 2024

Primary Completion

May 31, 2025

Study Completion

May 31, 2025

Last Updated

June 17, 2024

Record last verified: 2024-06

Data Sharing

IPD Sharing
Will not share

Locations