Radiology · 2026
Entropy for Prediction of MACEs in Myocarditis: A Cardiac MRI-based Biomarker of Myocardial Tissue Heterogeneity.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Wang Yining, Li Li, Teng Fei, Song Yujiao, Duan Xuejing, Lian Xinqiao, Zheng Tingting, Zhou Wenli, Zhu Leyi, Xu Jing, Zhou Di, Yang Wenjing, Jiang Mengdi, Zhang Huaying, Sirajuddin Arlene, Arai Andrew E, Litt Harold, Witschey Walter R, Zhao Shihua, Gao Li, Ju Zhiguo, Zhao Xinxiang, Lu Minjie
Аннотация
Background The prognostic value of left ventricular (LV) entropy in acute myocarditis is unclear. Purpose To assess the association of LV entropy, a measure of myocardial heterogeneity derived from cardiac MRI, with cardiovascular events in patients with acute myocarditis. Materials and Methods This retrospective study evaluated 492 patients with acute myocarditis who underwent cardiac MRI between March 2016 and March 2024 (discovery cohort: 319 patients from one center; external testing cohort: 173 patients from two centers). LV global entropy reflects the distribution of pixel signal intensities across the LV myocardium, whereas LV late gadolinium enhancement (LGE) entropy reflects myocardial heterogeneity in LGE areas. Patients were followed up after cardiac MRI for major adverse cardiovascular events (MACEs), including cardiac death, heart failure hospitalization, heart transplant, recurrent myocarditis, and sustained ventricular arrhythmia. Multivariable Cox proportional hazards regression was used to evaluate the association between LV entropy and MACEs, with adjustment for diabetes mellitus, log N-terminal pro-B-type natriuretic peptide, LV ejection fraction, LGE extent, and extracellular volume fraction; receiver operating characteristic and model performance analyses were performed. Results In the discovery cohort (mean age, 32 years ± 14; 191 male [59.9%]), 57 of 319 patients (17.9%) experienced MACEs during a median follow-up of 3.1 years. LV global entropy of at least 8.5 defined the high-risk group. Multivariable Cox regression showed that LV global entropy (hazard ratio, 3.33 [95% CI: 1.61, 6.87]; P = .001) and LV LGE entropy (hazard ratio, 2.10 [95% CI: 1.17, 3.76]; P = .01) remained independently associated with MACEs. Adding LV global entropy to the adjusted baseline model improved incremental model fit for the primary endpoint (χ2 statistic, 66.88 vs 77.47; P < .001). Conclusion In patients with acute myocarditis, LV global entropy and LV LGE entropy were independently associated with MACEs. © RSNA, 2026 Supplemental material is available for this article.