Evidence map›Paper›PMID 37453603›Full record

ArticleHeart rhythm2023

Guided implantation of a leadless left ventricular endocardial electrode and acoustic transmitter using computed tomography anatomy, dynamic perfusion and mechanics, and predicted activation pattern.

Baldeep S Sidhu, Angela W C Lee, Justin Gould, Bradley Porter, Benjamin Sieniewicz, Mark K Elliott, Vishal S Mehta, Nadeev Wijesuriya, Abdoul A Amadou, Gernot Plank and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Heart rhythm, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 4 countries.

Baldeep S SidhuSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom. Electronic address: Baldeep.sidhu@nhs.net.uk.
Angela W C LeeSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Justin GouldSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Bradley PorterSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Benjamin SieniewiczSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Mark K ElliottSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Vishal S MehtaSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Nadeev WijesuriyaSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Abdoul A AmadouSiemens Healthcare GmbH, Forchheim, Germany.
Gernot PlankMedical University of Graz, Graz, Austria.
Ulrike HaberlandSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Siemens Healthcare GmbH, Forchheim, Germany.
Ronak RajaniSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Christopher A RinaldiSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Steven A NiedererSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; National Heart and Lung Institute, Imperial College London, Hammersmith Hospital, London, United Kingdom; The Alan Turing Institute, London, United Kingdom.
King's College London · GBMedical University of Graz · ATSiemens Healthcare (United States) · US

Funding

British Heart Foundation FS/CRTF/22/24362
6 · The paper itself

Abstract

backgroundThe WiSE-CRT System (EBR systems, Sunnyvale, CA) permits leadless left ventricular pacing. Currently, no intraprocedural guidance is used to target optimal electrode placement while simultaneously guiding acoustic transmitter placement in close proximity to the electrode to ensure adequate power delivery.

objectiveThe purpose of this study was to assess the use of computed tomography (CT) anatomy, dynamic perfusion and mechanics, and predicted activation pattern to identify both the optimal electrode and transmitter locations.

methodsA novel CT protocol was developed using preprocedural imaging and simulation to identify target segments (TSs) for electrode implantation, with late electrical and mechanical activation, with ≥5 mm wall thickness without perfusion defects. Modeling of the acoustic intensity from different transmitter implantation sites to the TSs was used to identify the optimal transmitter location. During implantation, TSs were overlaid on fluoroscopy to guide optimal electrode location that were evaluated by acute hemodynamic response (AHR) by measuring the maximal rate of left ventricular pressure rise with biventricular pacing.

resultsTen patients underwent the implantation procedure. The transmitter could be implanted within the recommended site on the basis of preprocedural analysis in all patients. CT identified a mean of 4.8 ± 3.5 segments per patient with wall thickness < 5 mm. During electrode implantation, biventricular pacing within TSs resulted in a significant improvement in AHR vs non-TSs (25.5% ± 8.8% vs 12.9% ± 8.6%; P < .001). Pacing in CT-identified scar resulted in either failure to capture or minimal AHR improvement. The electrode was targeted to the TSs in all patients and was implanted in the TSs in 80%.

conclusionPreprocedural imaging and modeling data with intraprocedural guidance can successfully guide WiSE-CRT electrode and transmitter implantation to allow optimal AHR and adequate power delivery.

Indexed as

Cardiac Resynchronization TherapyHeart FailureCardiac Resynchronization Therapy DevicesElectrodesHeart VentriclesHumansPerfusionTomography, X-Ray ComputedTreatment OutcomeCardiac resynchronization therapyEndocardial pacingGuiding endocardial pacingHemodynamic assessmentWiSE-CRT

Identifiers

PMID37453603
PMCPMC10850882
OpenAlexW4384161745

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.