Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT03437408 |
Other study ID # |
RHM CAR0538 |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
June 26, 2019 |
Est. completion date |
October 22, 2020 |
Study information
Verified date |
September 2021 |
Source |
University Hospital Southampton NHS Foundation Trust |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
There is an increasing evidence regarding the efficacy of a substrate-based ablation approach
to ventricular tachycardia (VT). This approach involves identifying regions of scar and also
areas displaying late potentials and fractionated activity. Automated mapping systems are now
available which may be able to generate high density maps displaying regions containing both
late potentials and ventricular scar. Such an automated approach has not been validated.
Furthermore, most patients presenting for VT ablation have pacing devices in situ. It is not
known how the pacing modality affect the substrate maps generated for these procedures. Once
an area felt to be important to ablate has been identified, the next key step is to perform
effective ablation. An algorithm has now been made available (Ablation index - Biosense
Webster Inc.,) which in preclinical studies is an effective predictor of radiofrequency
lesion depth. This algorithm has been studied extensively in the atrium but not in the
ventricle. This study would also seek to collect ablation index data during ablation to
assess the algorithm during ventricular ablation.
Description:
The study would propose to use the Carto3 mapping system with the Confidense automated
tagging module (Biosense Webster Inc.,) and a high density mapping catheter to generate
substrate maps of the ventricle, with maps generated with varying pacing modes. A SmartTouch
catheter (Biosense Webster Inc.,) would then be used for ablation with data collected during
each ablation.
The study hypotheses are:
- High density automated mapping systems can be used to generate accurate ventricular
substrate maps.
- There will be a significant change in the late potential maps based on the presence and
type of ventricular pacing.
- The relationship between impedance drop and ablation index during ablation will be
stronger than FTI and will allow formulation of an upper limit for clinical ventricular
ablation.
- The relationship between FTI and AI with impedance drop will be stronger than with
electrogram attenuation.
Protocol:
15 patients, listed on clinical grounds for a left ventricular VT ablation in the context of
structural heart disease (including redo ablation) would be recruited for the trial. All
patients would need to have a pacing device in situ and have underlying sensed ventricular
rhythm (with or without atrial pacing), or in the absence of a sensed ventricular rhythm, a
biventricular pacing device. As part of their clinical work-up for the procedure, patients
will have cardiac MRI scans wherever possible.
All procedures would be undertaken with Carto3, using a PentaRay catheter for mapping in
concert with the Confidense module, and a SmartTouch or SmartTouch SF catheter for ablation
(Biosense Webster).
Procedures would be conducted under moderate ('conscious') sedation or general anaesthetic.
Mapping Phase Mapping would be performed antegrade, retrograde or a combination of both. The
first map taken would be without ventricular pacing using the PentaRay catheter and
Confidense. Confidense maps would be displayed showing bipolar voltage and late potentials in
Carto3. The aim would be for maximal coverage of the ventricle. A remap would then be
undertaken with pacing from the patient's right ventricular pacing lead. In patients with an
additional left ventricular lead, maps would also be made with left ventricular only and
biventricular pacing. In those patient without underlying ventricular sensed rhythm, maps
would be taken with right ventricular only, left ventricular only and biventricular pacing.
The automatically collected maps would then be validated. The PentaRay would be moved over to
2 areas where there is agreement between the maps over the presence of late potentials and,
while the PentaRay was kept in the same place, manual points would be taken with one pacing
mode and then with the pacing mode changed. This would also be repeated for 2 areas where
there is disagreement over the presence of late potentials. This process would also be
repeated for areas identified as showing scar. All points would be taken with respiratory
gating. Off line, the areas identified as showing abnormal signal - either scar or late
potentials - would be manually checked to ensure the system has correctly identified them.
Ablation Phase Ablation would be undertaken using a Smart Touch Surround Flow Catheter
(Biosense Webster). Ablation power would be restricted to 40-50W based on the operator's
choice. Steerable sheath usage would be encouraged but not mandatory. Each radiofrequency
application would be delivered with the catheter stable prior to the ablation. A mapping
point would be taken with the catheter stable, and then a static ablation would be delivered
and an ablation point manually taken. Following cessation of ablation, a further mapping
point would be taken. All points would be respiratory gated. Ablations would be
non-overlapping. If there was displacement of the catheter during the ablation, this ablation
would be removed from the impedance analysis.
Quantitative comparisons Mapping Study The percentage of the maps showing scar and late
potentials would be quantitatively analysed by exporting the data from Carto3. As comparisons
would be made between pacing modes, each patient would act as their own control. Based on
prior work, bipolar scar would be defined as <0.5mv for dense scar and 0.5-1.5mV for low
voltage areas12, while unipolar scar would be <5mV. The characteristic of the late potentials
- specifically how late they were compared to the QRS and their size would be compared
quantitatively for electrograms taken manually at the same location with the PentaRay.
Quantitative analyses of the data exported from Carto 3 would be conducted using novel
algorithms programmed in Matlab (Mathworks, Natick, MA, USA).
Ablation Study The Carto3 data export would be utilized to obtain the impedance, contact
force, temperature and location data and electrogram data (pre- and post-ablation) for each
ablation. These data would then be analysed using custom Matlab scripts to undertake an
incremental AI and FTI based analysis of the impedance drop during ablation. The curves would
then be analyzed with the target of quantitatively describing the relationships with
impedance drop and if possible providing the plateau points in the curve to generate an upper
limit for ablation.
Value of Results This study would assess automated electrogram collection as a valid
methodology for rapidly generating ventricular substrate maps. This will help to shorten
procedure times for VT ablation by guiding the physician to the areas of interest more
rapidly. At present, it is unknown how the pacing mode affects substrate maps in the
ventricle and consequently the mode in which to leave pacing. The study will help to guide us
to maximise the appropriate identification of the VT substrate by picking the correct pacing
mode for the procedure.
The study would validate the use of ablation index for clinical ventricular ablation as well
as aiming to provide guidance as to how to use this for maximal safety and efficacy.