Evidence map›Paper›PMID 42091665›Full record

ArticleEuropean radiology2026

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

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

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Puguang Xie *College of Bioengineering, Chongqing Emergency Medical Centre, Chongqing University Central Hospital, Chongqing University, 400014, Chongqing, China.
Zhiwei Zhang *Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, 400016, Chongqing, China.
Jiafei Chen *Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), 40038, Chongqing, China.
Jia Chen *Department of Radiology, The Second Affiliated Hospital of Army Medical University, 40037, Chongqing, China.
Rui GuoSchool of Medical Technology, Beijing Institute of Technology, 100081, Beijing, China.
Ruiyan MaDepartment of Cardiovascular Surgery, Xinqiao Hospital, 40037, Chongqing, China.
Haiyan DingCenter for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, 100084, Beijing, China.
Yu MaCollege of Bioengineering, Chongqing Emergency Medical Centre, Chongqing University Central Hospital, Chongqing University, 400014, Chongqing, China. 81846846@qq.com.
Jingjing XiaoBio-Med Informatics Research Centre, Xinqiao Hospital, Army Medical University, 40037, Chongqing, China. shine636363@sina.com.ORCID http://orcid.org/0000-0001-5020-638X

Funding

Graduate Research and Innovation Projects of Jiangsu Province NO. CYB240046National Natural Science Foundation of China NO. 62076247, NO. 61701506the Joint Science and Health Medical Key Research of Chongqing NO. 2025ZDXM009
6 · The paper itself

Abstract

backgroundLate 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

methodsWe 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).

resultsThe 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.

conclusionsCine2LGE 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.

Indexed as

Contrast MediaHeartHeart DiseasesImage EnhancementMagnetic Resonance ImagingMagnetic Resonance Imaging, CineAgedFemaleGadoliniumHumansImage Interpretation, Computer-AssistedMaleMiddle AgedReproducibility of ResultsROC CurveContrast MediaGadoliniumCardiac imaging techniquesDeep learningMachine learningMagnetic resonance imaging

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.