ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2022
The image quality and diagnostic accuracy of T1-mapping-based synthetic late gadolinium enhancement imaging: comparison with conventional late gadolinium enhancement imaging in real-life clinical situation.
Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 8 citations in OpenAlex.
- 3D Simultaneous Post-contrast T1/T2 Mapping and Synthetic Multi-Contrast Late Gadolinium Enhancement at 0.55T: Validation in Porcine Myocardial Infarction Model.Investigative radiology · 2026Article
- Optimizing TI selection in LGE imaging: pharmacokinetically standardized synthetic LGE and clinical cohort validation of a fixed 400 ms TI for LGE quantification.The international journal of cardiovascular imaging · 2026Article
- Prognostic significance of artificial intelligence-quantified late gadolinium enhancement on cardiac magnetic resonance in hypertrophic cardiomyopathy.The Korean journal of internal medicine · 2026Article
- AI-Driven Generation of Post-Contrast T1 and ECV Maps from Native T1 Map in Cardiac MRI.Diagnostics (Basel, Switzerland) · 2026Article
- Automated fibrosis segmentation from wideband post-contrastMagnetic resonance in medicine · 2025Article
- Article
- Impact of cardiovascular magnetic resonance in single ventricle physiology: a narrative review.Cardiovascular diagnosis and therapy · 2024Review
- Artificial intelligence applied in cardiovascular disease: a bibliometric and visual analysis.Frontiers in cardiovascular medicine · 2024Article
- Motion-compensated TFrontiers in cardiovascular medicine · 2023Review
- Customizing native T1 mapping: The effects of compressed sensing, deep learning-based denoising, and high-resolution on measurement of native myocardial T1.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic ResonanceArticle
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7 authors at 1 institution in 1 country.
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Abstract
backgroundsSynthetic late gadolinium enhancement (LGE) images are less sensitive to inversion time (TI) and robust to motion artifact, because it is generated retrospectively by post-contrast T1-mapping images. To explore the clinical applicability of synthetic LGE, we investigated the image quality and diagnostic accuracy of synthetic LGE images, in comparison to that of conventional LGE for various disease groups. METHOD AND MATERIALS: From July to November 2019, a total of 98 patients who underwent cardiovascular magnetic resonance imaging (CMR), including LGE and T1-mapping sequences, with suspicion of myocardial abnormality were retrospectively included. Synthetic magnitude inversion-recovery (IR) and phase-sensitive IR (PSIR) images were generated through calculations based on the post-contrast T1-mapping sequence. Three cardiothoracic radiologists independently analyzed the image quality of conventional and synthetic LGE images on an ordinal scale with per-segment basis and the image qualities were compared with chi-square test. The agreement of LGE detection was analyzed on per-patient and per-segment basis with Cohen's kappa test. In addition, the LGE area and percentage were semi-quantitatively analyzed for LGE positive ischemic (n = 14) and hypertrophic cardiomyopathy (n = 13) subgroups by two cardiothoracic radiologists. The difference of quantified LGE area and percentage between conventional and synthetic LGE images were assessed with Mann-Whitney U-test and the inter-reader agreement was assessed with Bland-Altman analysis.
resultsThe image quality of synthetic images was significantly better than conventional images in both magnitude IR and PSIR through all three observers (P < 0.001, all). The agreements of per-patient and per-segment LGE detection rates were excellent (kappa = 0.815-0.864). The semi-quantitative analysis showed no significant difference in the LGE area and percentage between conventional and synthetic LGE images. In the inter-reader agreement showed only small systematic differences in both magnitude IR and PSIR and synthetic LGE images showed smaller systematic biases compared to conventional LGE images.
conclusionCompared to conventional LGE images, synthetic LGE images have better image quality in real-life clinical situation.
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