Evidence map›Paper›PMID 40174647›Full record

ArticleInternational journal of radiation oncology, biology, physics2025

Principal Strain Analysis for Early Detection of Radiation-Induced Cardiotoxicity in a Mouse Model.

Tanmay Mukherjee, Sarah Elliott, Nandhini Manikandan, Taylor-Jade Higgins, Yuncheng Zhong, Steven K Montalvo, Debabrata Saha, Janaka Wansapura, Reza Avazmohammadi, Prasanna G Alluri

Abstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

10 authors.

Tanmay MukherjeeDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas.
Sarah ElliottDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.
Nandhini ManikandanDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas.
Taylor-Jade HigginsDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.
Yuncheng ZhongDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.
Steven K MontalvoDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.
Debabrata SahaDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.
Janaka WansapuraAdvanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas.
Reza AvazmohammadiDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas; J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University, College Station, Texas; Department of Cardiovascular Sciences, Houston Methodist Academic Institute, Houston, Texas. Electronic address: rezaavaz@tamu.edu.
Prasanna G AlluriDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas; Harold C. Simmons Comprehensive Cancer Center, Dallas, Texas. Electronic address: prasanna.alluri@utsouthwestern.edu.

Funding

UT Southwestern Center for Translational MedicineUL1TR003163 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2021 to 2025
$39.3M
The effect of systemic hypertension on prognosis of myocardial infarction: Understanding, prediction and therapy evaluationR00HL138288 · NHLBI · TEXAS ENGINEERING EXPERIMENT STATION · PI AVAZMOHAMMADI, REZA · 2020 to 2022
$727k
American Heart Association-American Stroke Association 24PRE1240097NCATS NIH HHS UL1 TR003163NHLBI NIH HHS R00 HL138288
6 · The paper itself

Abstract

purposeRadiation-induced cardiotoxicity (RIC) is common in patients receiving thoracic radiation and is a major risk factor for morbidity and mortality. The development of novel approaches for early detection and mitigation of RIC remains an acute unmet need. The objective of this study is to develop a mouse model of RIC that recapitulates the progression of cardiac dysfunction seen in patients receiving thoracic radiation and to develop novel cardiac strain markers that exhibit higher sensitivity in detecting subclinical RIC over existing approaches. METHODS AND MATERIALS: We developed a mouse model of RIC through image guided whole heart irradiation of male C57BL/6J mice using 2 radiation regimens (8 Gy × 5 and 24 Gy × 1). We developed a pipeline for analyzing anatomic and principal strains derived from cardiac magnetic resonance (CMR) imaging obtained at baseline, 3 months, and 6 months following radiation.

resultsBoth radiation regimens used for whole heart irradiation caused a progressive decline in both anatomic and principal cardiac strains over time. The minimum principal cardiac strain detected a subclinical decline in cardiac contractility at an earlier time point than the traditional anatomic cardiac strains. We also observed asymmetric changes in contractility at the epicardium and endocardium relative to averaged cardiac strain across the full thickness of the left ventricle following cardiac irradiation, further reinforcing the limitations of existing methods, which do not capture the heterogeneity in cardiac strain changes along the transmural axis.

conclusionsWe have developed a mouse model of RIC that recapitulates time-dependent deterioration in myocardial contractility noted in patients receiving thoracic radiation. We also developed CMR imaging-derived novel principal strain cardiac markers that detect subclinical deterioration in cardiac contractile function earlier than traditional anatomic cardiac strain markers. If successfully translated into patients, our novel approach of measuring CMR imaging-derived cardiac principal strain analysis may enhance the detection of subclinical RIC in patients receiving thoracic radiation.

Indexed as

CardiotoxicityHeartRadiation Injuries, ExperimentalAnimalsDisease Models, AnimalEarly DiagnosisMagnetic Resonance ImagingMaleMiceMice, Inbred C57BLMyocardial Contraction

Identifiers

PMID40174647
PMCPMC13474174

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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.