Prognostic Value of Myocardial Parametric Mapping in Patients with Acute Myocarditis: A Retrospective Study

Purpose To investigate the prognostic value of T1 mapping, extracellular volume fraction (ECV), and T2 mapping in a large cohort of patients with acute myocarditis. Materials and Methods This retrospective study included patients with acute myocarditis who underwent cardiac MRI (3.0 T) between March 2016 and October 2022. Diagnosis was confirmed by diagnostic cardiac MRI criteria or endomyocardial biopsy. The primary end point was major adverse cardiovascular events (MACEs), defined as the composite of cardiac death, heart failure hospitalization, heart transplantation, sustained ventricular arrhythmia, and recurrent myocarditis. Univariable and multivariable Cox regression analyses were performed to assess the association of clinical and cardiac MRI variables with the primary end point. The prognostic value of each model was assessed using the Harrell C index. Results A total of 235 patients (mean age, 32 years ± 13 [SD]; 150 [63.8%] men) were included. During a mean follow-up of 1637 days (IQR: 1441-1833 days), MACEs occurred in 45 (19%) patients. Patients with MACEs had higher global native T1, ECV, and T2 values (1342 msec ± 64 vs 1263 msec ± 48; <i>P</i> < .001; 39.1% ± 8.7 vs 32.7% ± 5.7; <i>P</i> < .001; 61.1 msec ± 10.0 vs 55.3 msec ± 9.4; <i>P</i> = .03, respectively). In a series of multivariable Cox regression models, native T1 (per 10-msec increase: hazard ratio, 1.61; 95% CI: 1.31, 1.98; <i>P</i> < .001) and ECV (per 5% increase: hazard ratio, 1.70; 95% CI: 1.38, 2.08; <i>P</i> < .001) independently predicted MACE occurrence, and the addition of native T1 (Harrell C index = 0.76) or ECV (Harrell C index = 0.79) to the model including only clinical variables, left ventricular ejection fraction, and septal late gadolinium enhancement (Harrell C index = 0.72) improved discrimination for the primary end point. Conclusion Cardiac MRI-derived native T1 and ECV were independent predictors of MACEs in patients with acute myocarditis and provided incremental prognostic value when combined with conventional parameters. <b>Keywords:</b> MRI, Cardiac, Heart, Inflammation <i>Supplemental material is available for this article.</i> © RSNA, 2025.

Authors

Institutions

Publication Details

Journal
Radiology Cardiothoracic Imaging
Published
2025-02-01
DOI
https://doi.org/10.1148/ryct.240125
Citations
4
Primary Topic
Viral Infections and Immunology Research
Type
article
Field-Weighted Citation Impact
5.55

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic Value of Myocardial Parametric Mapping in Patients with Acute Myocarditis: A Retrospective Study

Helen Y.-C. Wang, Wenjing Yang, Mengdi Jiang, Andrew E. Arai et al.
4 citations
Radiology Cardiothoracic Imaging
Viral Infections and Immunology Research
5.55
article

Prognostic Value of Myocardial Parametric Mapping in Patients with Acute Myocarditis: A Retrospective Study

Helen Y.-C. Wang, Wenjing Yang, Mengdi Jiang, Andrew E. Arai, Arlene Sirajuddin, Leyi Zhu, Huaying Zhang, Yining Wang, Jing Xu, Shihua Zhao, Minjie Lu, Di Zhou, Xuejing Duan
article en
4 citations

Abstract

Purpose To investigate the prognostic value of T1 mapping, extracellular volume fraction (ECV), and T2 mapping in a large cohort of patients with acute myocarditis. Materials and Methods This retrospective study included patients with acute myocarditis who underwent cardiac MRI (3.0 T) between March 2016 and October 2022. Diagnosis was confirmed by diagnostic cardiac MRI criteria or endomyocardial biopsy. The primary end point was major adverse cardiovascular events (MACEs), defined as the composite of cardiac death, heart failure hospitalization, heart transplantation, sustained ventricular arrhythmia, and recurrent myocarditis. Univariable and multivariable Cox regression analyses were performed to assess the association of clinical and cardiac MRI variables with the primary end point. The prognostic value of each model was assessed using the Harrell C index. Results A total of 235 patients (mean age, 32 years ± 13 [SD]; 150 [63.8%] men) were included. During a mean follow-up of 1637 days (IQR: 1441-1833 days), MACEs occurred in 45 (19%) patients. Patients with MACEs had higher global native T1, ECV, and T2 values (1342 msec ± 64 vs 1263 msec ± 48; <i>P</i> < .001; 39.1% ± 8.7 vs 32.7% ± 5.7; <i>P</i> < .001; 61.1 msec ± 10.0 vs 55.3 msec ± 9.4; <i>P</i> = .03, respectively). In a series of multivariable Cox regression models, native T1 (per 10-msec increase: hazard ratio, 1.61; 95% CI: 1.31, 1.98; <i>P</i> < .001) and ECV (per 5% increase: hazard ratio, 1.70; 95% CI: 1.38, 2.08; <i>P</i> < .001) independently predicted MACE occurrence, and the addition of native T1 (Harrell C index = 0.76) or ECV (Harrell C index = 0.79) to the model including only clinical variables, left ventricular ejection fraction, and septal late gadolinium enhancement (Harrell C index = 0.72) improved discrimination for the primary end point. Conclusion Cardiac MRI-derived native T1 and ECV were independent predictors of MACEs in patients with acute myocarditis and provided incremental prognostic value when combined with conventional parameters. <b>Keywords:</b> MRI, Cardiac, Heart, Inflammation <i>Supplemental material is available for this article.</i> © RSNA, 2025.

Radiology Cardiothoracic ImagingVol. 7(1)
National Institutes of Health (US), Johns Hopkins University (US), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), University of Utah (US), Suburban Hospital (US), Johns Hopkins Medicine (US), National Heart, Lung, and Blood Institute (US)
National Natural Science Foundation of China, Chinese Academy of Medical Sciences
Openalex Percentile: Top 5%
Viral Infections and Immunology Research
5.55
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.