Evidence map›Paper›PMID 40108535›Full record

ArticleBMC cardiovascular disorders2025

Quantitative evaluation of radiation-induced heart disease in beagle dogs by speckle tracking echocardiography.

Zi-Ying Wang, Long Huang, Li-Qun Li, Chun-Quan Zhang, Liang-Yun Guo, Yan-Na Liu, Ling-Min Liao

Abstract read
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Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zi-Ying Wang *Department of Ultrasound, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Long Huang *Department of Oncology, The Second Affifiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Li-Qun LiDepartment of Ultrasound, Yanshan County People's Hospital, Yanshan, Jingxi, China.
Chun-Quan ZhangDepartment of Ultrasound, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Liang-Yun GuoDepartment of Ultrasound, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Yan-Na LiuDepartment of Ultrasound, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Ling-Min LiaoDepartment of Ultrasound, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China. liaolingmin85@163.com.

Funding

Health Commission of Jiangxi Province 202210039Key Research and Development Program of Jiangxi Province 20181ACG70011
6 · The paper itself

Abstract

objectiveThis study aimed to detect early changes in left ventricular systolic function in Beagle dogs after radiotherapy using two-dimensional speckle tracking echocardiography and to explore its potential value in evaluating radiation-induced heart disease.

methodsThirty-six Beagle dogs were randomized into a control group (n = 18) and an irradiation group (n = 18). The irradiation group received a single dose of 20 Gy to the left ventricular anterior wall, while controls underwent sham irradiation. Conventional echocardiography and 2D speckle tracking echocardiography were performed at baseline and 3, 6, and 12 months post-procedure. Additionally, six dogs were randomly selected from each group and euthanized at 3-, 6-, and 12-month post-irradiation, and their hearts were collected for histopathological testing.

resultsIn the irradiation group, the global longitudinal strain of the left ventricle and regional strain in the irradiated area were significantly reduced versus baseline and controls by 3 months, with progressive decline at 6 and 12 months. Strain reduction correlated spatially with pathological injury. Conversely, there were no substantial differences in conventional echocardiographic parameters between the groups after 3 months. Conventional parameters (e.g., LVEF) showed differences only at later timepoints. Histopathology revealed progressive cardiomyocyte damage, fibrosis, and microvascular injury in irradiated regions, extending to the posterior wall by 12 months.

conclusionTwo-dimensional speckle tracking echocardiography-derived strain parameters spatially correlate with radiation-induced pathological changes and detect subtle systolic dysfunction prior to irreversible remodeling. Speckle tracking may localize regions of peak radiation dose delivery.

Indexed as

EchocardiographyRadiation InjuriesRadiation Injuries, ExperimentalVentricular Dysfunction, LeftVentricular Function, LeftAnimalsDisease Models, AnimalDogsFemaleMalePredictive Value of TestsTime FactorsRadiation-induced heart diseaseRadiotherapySpeckle tracking echocardiographyUltrasound

Identifiers

PMID40108535
PMCPMC11924760

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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.