Evidence map›Paper›PMID 42120323›Full record

ReviewJournal of applied clinical medical physics2026

Stereotactic arrhythmia radioablation for refractory ventricular tachycardia: A narrative review and pooled analysis of clinical outcomes and treatment delivery approaches.

Keyur D Shah, Chih-Wei Chang, Sibo Tian, Pretesh Patel, Richard Qiu, Shadab Momin, Justin Roper, Jun Zhou, Zhen Tian, Xiaofeng Yang

Abstract readReview
In one paragraph

Review in Journal of applied clinical medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Keyur D ShahDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-0886-655X
Chih-Wei ChangDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Sibo TianDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Pretesh PatelDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Richard QiuDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-7877-1900
Shadab MominDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-1640-3643
Justin RoperDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Jun ZhouDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-6078-9424
Zhen TianDepartment of Radiation & Cellular Oncology, University of Chicago, Chicago, Illinois, USA.
Xiaofeng YangDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0001-9023-5855

Funding

Translational and Clinical Trial Correlates CoreU54CA274513 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI Timothy An-thy Chan · 2022 to 2026
$9.3M
eXtended Modular ANthropomorphic (XMAN) phantom for Imaging and Treatment Optimization in Radiotherapy.R01EB032680 · NIBIB · UNIVERSITY OF MARYLAND BALTIMORE · PI REN, LEI, YANG, XIAOFENG · 2022 to 2025
$2.4M
Real-time Volumetric Imaging for Motion Management and Dose Delivery VerificationR01CA272991 · NCI · EMORY UNIVERSITY · PI Zhen Tian, Xiaofeng Yang · 2023 to 2026
$2.3M
Artificial Intelligence Driven Automatic Treatment Planning of Stereotactic Radiosurgery for the Management of Multiple Brain MetastasesR37CA272755 · NCI · UNIVERSITY OF CHICAGO · PI Zhen Tian · 2022 to 2026
$1.8M
NCI NIH HHS R01 CA272991NCI NIH HHS R37 CA272755NCI NIH HHS U54 CA274513NIBIB NIH HHS R01 EB032680NIH HHS R01CA272991NIH HHS R01EB032680NIH HHS R37CA272755NIH HHS U54CA274513
6 · The paper itself

Abstract

purposeStereotactic arrhythmia radioablation (STAR) has emerged as a noninvasive salvage therapy for refractory ventricular tachycardia (VT), particularly in patients ineligible for catheter ablation (CA). This narrative review and pooled analysis evaluates STAR's efficacy, safety, and technical characteristics, integrating evidence from preclinical studies, case reports, case series, and clinical trials.

methodsA comprehensive literature search identified 88 studies published between 2015 and 2025, comprising 13 preclinical investigations, 50 case reports, 18 case series, and 7 clinical trials. Study-level data were extracted for pooled analyses of 6- and 12-month mortality, VT burden reduction, and Grade 3+ acute toxicity. Subgroup analyses were performed by delivery modality, age, left ventricular ejection fraction (LVEF), and cardiomyopathy type.

resultsPooled 6- and 12-month mortality were 16% (95% CI: 11%-20%) and 33% (95% CI: 27%-38%), respectively. VT burden reduction at 6 months averaged 75% (95% CI: 73%-77%), with substantial heterogeneity (I

conclusionsSTAR achieves meaningful VT suppression with acceptable acute toxicity across multiple delivery modalities. However, wide inter-study heterogeneity underscores the need for standardized endpoint definitions, dosimetric and motion-management protocols, and prospective follow-up registries. Translational preclinical data and emerging clinical evidence collectively support STAR's continued development as a biologically informed cardiac radiotherapy paradigm.

Indexed as

RadiosurgeryTachycardia, VentricularHumansTreatment Outcomecardiac radiosurgerynoninvasive VT ablationstereotactic arrhythmia radioablation (STAR)stereotactic body radiation therapy (SBRT)ventricular tachycardia (VT)

Identifiers

PMID42120323
PMCPMC13167255

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Registered trials

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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.