Evidence map›Paper›PMID 41815574›Full record

ArticleCardiovascular diagnosis and therapy2026

Early diagnosis of acute experimental autoimmune myocarditis in mice with preserved left ventricular ejection fraction: a feasibility study based on 9.4 T magnetic resonance.

Wenjing Zhao, Qinfang Miao, Yan Chen, Chuangwei Wei, Nan Zhang, Jiayi Liu, Lei Xu, Haikun Qi, Zhaoying Wen

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Article in Cardiovascular diagnosis and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Wenjing Zhao *Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Qinfang Miao *School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Yan ChenDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Chuangwei WeiDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Nan ZhangDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Jiayi LiuDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Lei XuDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Haikun QiSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Zhaoying WenDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The application of ultrahigh-field cardiac magnetic resonance imaging (MRI), such as 9.4 T imaging, in mouse models remains challenging, especially under rapid heart rates (500-600 beats per minute), and its feasibility and reproducibility have yet to be thoroughly studied. Therefore, this study aimed to evaluate the feasibility and reproducibility of combining cardiac magnetic resonance feature tracking (CMR-FT)-derived strain parameters and conventional cardiac MRI parameters to image an acute experimental autoimmune myocarditis (EAM) mouse model under a 9.4 T ultrahigh field system and to assess its potential for the early diagnosis of acute EAM. Methods: This retrospective study (conducted from December 2023 to December 2024) included 45 male BALB/c mice (30 EAM mice and 15 controls). EAM mice were injected with Complete Freund's Adjuvant (CFA; Sigma-Aldrich) to induce myocarditis. The control mice were treated with equal amounts of normal saline at the same time and position as those in experimental mice. CMR was performed with a 9.4 T scanner (Biospec 94/30; Bruker BioSpin) at 7 days, which included precontrast T1, postcontrast T1 and T2, and extracellular volume fraction (ECV) mapping. Left ventricular (LV) strain was evaluated via feature tracking. The diagnostic performance of CMR was evaluated through receiver operating characteristic (ROC) analysis. Results: A total of 45 mice (30 EAM mice and 15 controls) were included. All parameters were feasible in the mice that underwent CMR, and there was excellent reliability, as indicated by intraclass correlation coefficients greater than 0.9 for both intra- and interobserver agreement across all parameters. Intra- and interobserver agreement was analyzed by intraclass correlation coefficients (ICC). EAM mice demonstrated significantly impaired strain parameters compared to healthy controls [global radial strain (GRS): 34.07%±2.49% Conclusions: The feasibility of LV strain parameters combined with CMR conventional sequences in identifying EAM in mice at 9.4 T CMR has good reproducibility. For mice with preserved LV ejection fraction, the combination of T2 and GRS can significantly increase the ability to predict EAM within 7 days and provides incremental value as compared to conventional CMR parameters.

Indexed as

cardiac magnetic resonance imaging (cardiac MRI)Experimental autoimmune myocarditis (EAM)feature trackingmicestrain

Identifiers

PMID41815574
PMCPMC12973091

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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.