Background Late gadolinium enhancement (LGE) cardiac magnetic resonance imaging (MRI) is regarded as the non-invasive gold standard for myocardial tissue characterization. However, its reliance on gadolinium-based contrast agents limits its applicability in patients with renal impairment or contrast allergies. Materials and methods We develop Cine2LGE, a method that simultaneously generates LGE-like images and estimates enhancement probability directly from contrast-free cine MRI. The model was trained and evaluated on a multi-center, multi-manufacturer, multi-disease dataset, and externally tested on an independent dataset. Image quality was assessed by three independent, experienced radiographers. Visualization consistency between LGE-like and real LGE images was evaluated through linear regression, correlation coefficient analysis, and Bland-Altman plots. The accuracy of enhancement probability prediction was assessed using the area under the receiver operating characteristic curve (AUC). Results The training dataset comprised 6361 paired cine and LGE images from 1189 subjects. The internal test dataset included 777 paired images from 129 subjects, and the external test dataset consisted of 1055 paired images from 198 subjects. Cine2LGE significantly outperformed conventional LGE in terms of image quality (p < 0.05). Strong correlations were observed between Cine2LGE and LGE in the quantification of both hyperintensity (Pearson correlation, 0.732/0.833; p < 0.05) and intermediate-intensity myocardial lesions (Pearson correlation, 0.759/0.712; p < 0.05). The enhancement probability prediction showed robust performance on both internal and external test sets, with AUC values of 0.906 and 0.895, respectively. Conclusions Cine2LGE offers a viable alternative for patients who cannot undergo conventional LGE imaging, enhancing both the accessibility and clinical utility of cardiac MRI. Key Points <Emphasis Type="BoldItalic">Question</Emphasis> Can contrast-free cine MRI generate LGE-like images and accurately detect myocardial enhancement for patients contraindicated to gadolinium-based contrast agents? <Emphasis Type="BoldItalic">Findings</Emphasis> Cine2LGE, a diffusion model-based method, generated LGE-like images with superior quality to conventional LGE and achieved high accuracy in predicting enhancement probability from cine MRI. <Emphasis Type="BoldItalic">Clinical relevance</Emphasis> Cine2LGE shows promise in providing a valuable, contrast-free alternative for patients with LGE contraindications, potentially expanding both the accessibility and clinical utility of cardiac MRI. Graphical Abstract

Generation of contrast-enhanced cardiac MRI from contrast-free scans: a multi-center, multi-manufacturer study

期刊论文
发表日期：

2026年5月6日

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Puguang Xie,
Zhiwei Zhang,
Jiafei Chen,
Jia Chen,
Rui Guo,
Ruiyan Ma,
Haiyan Ding,
Yu Ma,
Jingjing Xiao

摘要

Background

Late gadolinium enhancement (LGE) cardiac magnetic resonance imaging (MRI) is regarded as the non-invasive gold standard for myocardial tissue characterization. However, its reliance on gadolinium-based contrast agents limits its applicability in patients with renal impairment or contrast allergies.

Materials and methods

We develop Cine2LGE, a method that simultaneously generates LGE-like images and estimates enhancement probability directly from contrast-free cine MRI. The model was trained and evaluated on a multi-center, multi-manufacturer, multi-disease dataset, and externally tested on an independent dataset. Image quality was assessed by three independent, experienced radiographers. Visualization consistency between LGE-like and real LGE images was evaluated through linear regression, correlation coefficient analysis, and Bland-Altman plots. The accuracy of enhancement probability prediction was assessed using the area under the receiver operating characteristic curve (AUC).

Results

The training dataset comprised 6361 paired cine and LGE images from 1189 subjects. The internal test dataset included 777 paired images from 129 subjects, and the external test dataset consisted of 1055 paired images from 198 subjects. Cine2LGE significantly outperformed conventional LGE in terms of image quality (p < 0.05). Strong correlations were observed between Cine2LGE and LGE in the quantification of both hyperintensity (Pearson correlation, 0.732/0.833; p < 0.05) and intermediate-intensity myocardial lesions (Pearson correlation, 0.759/0.712; p < 0.05). The enhancement probability prediction showed robust performance on both internal and external test sets, with AUC values of 0.906 and 0.895, respectively.

Conclusions

Cine2LGE offers a viable alternative for patients who cannot undergo conventional LGE imaging, enhancing both the accessibility and clinical utility of cardiac MRI.

Key Points

Question Can contrast-free cine MRI generate LGE-like images and accurately detect myocardial enhancement for patients contraindicated to gadolinium-based contrast agents?

Findings Cine2LGE, a diffusion model-based method, generated LGE-like images with superior quality to conventional LGE and achieved high accuracy in predicting enhancement probability from cine MRI.

Clinical relevance Cine2LGE shows promise in providing a valuable, contrast-free alternative for patients with LGE contraindications, potentially expanding both the accessibility and clinical utility of cardiac MRI.

Graphical Abstract