Evidence map›Paper›PMID 37415904›Full record

ArticleAdvances in radiation oncology

A Tool to Integrate Electrophysiological Mapping for Cardiac Radioablation of Ventricular Tachycardia.

Hesheng Wang, Chirag R Barbhaiya, Ye Yuan, David Barbee, Ting Chen, Leon Axel, Larry A Chinitz, Andrew J Evans, David J Byun

Abstract read
In one paragraph

Article in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Role of Computational Modelling in Enhancing Thermal Safety During Cardiac Ablation.Interdisciplinary cardiovascular and thoracic surgery · 2025
    Review
  5. Article
  6. Review
  7. Radiation therapy for ventricular arrhythmias.Journal of medical imaging and radiation oncology · 2024
    Review
  8. Optimized target delineation procedure for the radiosurgery treatment of ventricular tachycardia: observer-independent accuracy.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2024
    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

9 authors.

Hesheng WangDepartment of Radiation Oncology, New York University Grossman School of Medicine, New York, New York.
Chirag R BarbhaiyaDepartment of Medicine, New York University Grossman School of Medicine, New York, New York.
Ye YuanAtropos Health, Palo Alto, California.
David BarbeeDepartment of Radiation Oncology, New York University Grossman School of Medicine, New York, New York.
Ting ChenDepartment of Radiation Oncology, New York University Grossman School of Medicine, New York, New York.
Leon AxelDepartment of Medicine, New York University Grossman School of Medicine, New York, New York.
Larry A ChinitzDepartment of Medicine, New York University Grossman School of Medicine, New York, New York.
Andrew J EvansDepartment of Radiation Oncology, New York University Grossman School of Medicine, New York, New York.
David J ByunDepartment of Radiation Oncology, New York University Grossman School of Medicine, New York, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Cardiac radioablation is an emerging therapy for recurrent ventricular tachycardia. Electrophysiology (EP) data, including electroanatomic maps (EAM) and electrocardiographic imaging (ECGI), provide crucial information for defining the arrhythmogenic target volume. The absence of standardized workflows and software tools to integrate the EP maps into a radiation planning system limits their use. This study developed a comprehensive software tool to enable efficient utilization of the mapping for cardiac radioablation treatment planning. Methods and Materials: The tool, HeaRTmap, is a Python-scripted plug-in module on the open-source 3D Slicer software platform. HeaRTmap is able to import EAM and ECGI data and visualize the maps in 3D Slicer. The EAM is translated into a 3D space by registration with cardiac magnetic resonance images (MRI) or computed tomography (CT) Results: The tool has been used to transfer Ensite NavX EAM data into the Varian Eclipse treatment planning system in radioablation on 2 patients with ventricular tachycardia. The ECGI data from CardioInsight was retrospectively evaluated using the tool to derive the target volume for a patient with left ventricular assist device, showing volumetric matching with the clinically used target with a Dice coefficient of 0.71. Conclusions: HeaRTmap smoothly fuses EP information from different mapping systems with simulation CT for accurate definition of radiation target volume. The efficient integration of EP data into treatment planning potentially facilitates the study and adoption of the technique.

Identifiers

PMID37415904
PMCPMC10320498

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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.