Evidence map›Paper›PMID 39911878›Full record

ArticlePhysics and imaging in radiation oncology2025

Electrocardiogram-gated cardiac computed tomography-based patient- and segment-specific cardiac motion estimation method in stereotactic arrhythmia radioablation for ventricular tachycardia.

Jingyang Xie, Alicia S Bicu, Melanie Grehn, Mustafa Kuru, Adrian Zaman, Xinyu Lu, Christian Janorschke, Luuk H G van der Pol, Martin F Fast, Jens Fleckenstein and 20 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Physics and imaging in radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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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

30 authors.

Jingyang XieInstitute of Robotics and Cognitive Systems, University of Luebeck, Luebeck, Germany.
Alicia S BicuDepartment of Radiation Oncology, University Medicine Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Melanie GrehnDepartment of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany.
Mustafa KuruDepartment of Radiology, University Medicine Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Adrian ZamanDepartment of Internal Medicine III (Cardiology, Angiology, and Internal Intensive Care Medicine), University Medical Center Schleswig-Holstein, Kiel, Germany.
Xinyu LuInstitute of Robotics and Cognitive Systems, University of Luebeck, Luebeck, Germany.
Christian JanorschkeInstitute of Robotics and Cognitive Systems, University of Luebeck, Luebeck, Germany.
Luuk H G van der PolDepartment of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.
Martin F FastDepartment of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.
Jens FleckensteinDepartment of Radiation Oncology, University Medicine Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Marcus BothDepartment of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein, Kiel, Germany.
Stephan HohmannHannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Egor BorzovDepartment of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany.
Peter WinklerDepartment of Therapeutic Radiology and Oncology, Medical University of Graz, Graz, Austria.
Roland R TilzDepartment of Rhythmology, University Heart Center Luebeck, University Hospital Schleswig-Holstein, Luebeck, Germany.
Dirk RadesDepartment of Radiation Oncology, University of Luebeck, Luebeck, Germany.
Frank A GiordanoDepartment of Radiation Oncology, University Medicine Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Daniel BuergyDepartment of Radiation Oncology, University Medicine Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Boris RudicDepartment of Internal Medicine I, Section for Electrophysiology and Rhythmology, University Medicine Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
David DunckerHannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Roland MertenDepartment of Radiotherapy, Hannover Medical School, Hannover, Germany.
Tomer CharasDepartment of Radiotherapy, Division of Oncology, Rambam Health Care Campus, Haifa, Israel.
Mahmoud SuleimanDivision of Pacing and Electrophysiology, Rambam Health Care Campus, Haifa, Israel.
Thomas BrunnerDepartment of Therapeutic Radiology and Oncology, Medical University of Graz, Graz, Austria.
Daniel ScherrDivision of Cardiology, Medical University of Graz, Graz, Austria.
Evgeny LianDepartment of Internal Medicine III (Cardiology, Angiology, and Internal Intensive Care Medicine), University Medical Center Schleswig-Holstein, Kiel, Germany.
Achim SchweikardInstitute of Robotics and Cognitive Systems, University of Luebeck, Luebeck, Germany.
Oliver BlanckDepartment of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany.
Judit Boda-HeggemannDepartment of Radiation Oncology, University Medicine Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Lena KaestnerDepartment of Radiation Oncology, University Medicine Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Motion management strategies such as gating under breath-hold can reduce breathing-induced motion during stereotactic arrhythmia radioablation (STAR) for refractory ventricular tachycardia. However, heartbeat-induced motion is essential to define an appropriate cardiac internal target volume (ITV) margin. In this study, we introduce a patient- and segment-specific cardiac motion estimation method and cardiac motion data of the clinical target volume (CTV), ICD lead tips and left ventricle (LV) segments. Materials and methods: Data from 10 STAR-treated patients were retrospectively analyzed. The LV was semi-automatically segmented according to the 17-segment model. Electrocardiogram-gated contrast-enhanced breath-hold cardiac CTs were automatically non-rigidly registered for motion estimation. The correlation and significant differences between ICD tip motion and CTV motion were assessed using the Pearson correlation coefficient (PCC) and Wilcoxon signed-rank test, while spatial discrepancies with both CTV and segment motion were quantified using the Euclidean distance. Results: The CTVs (center of mass) moved 3.4 ± 1.4 mm and the ICD lead tips moved 4.9 ± 2.2 mm. The maximum motion per patient was observed in basal and mid-cavity LV segments in 3D. The PCC showed a strong positive motion correlation between the ICD tip and CTV in 3D (0.84), while the p-values indicated statistically significant differences in the right-left, anterior-posterior and 3D directions. Conclusion: The proposed methods enable patient- and segment-specific cardiac ITV margin estimation. The motion in most LV segments was limited, however, cardiac ITV margins may need adjustment in individual cases. The impact of cardiac motion on the dosimetry needs further investigation.

Indexed as

AHA 17-segment modelCardiac ITV margin estimationCardiac motion estimationICD lead tip motionStereotactic arrhythmia radioablationVentricular tachycardia

Identifiers

PMID39911878
PMCPMC11795074

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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.