Comparison between Dark-Blood LGE Sequence and Standard Bright-Blood LGE in the Assessment of Ventricular Myocardial
Thiago de Gaultier Paulo1, Stephan Altmayer2, Giovanni Torri3
1Department of Radiology, Instituto do Radiologia (INRAD), Hospital de Clinicas da Faculdade de Medicina de São Paulo, Av. Dr. Enéas Carvalho de Aguiar, 75, São Paulo, 05403-010, Brazil.
Insights
Dark-blood (DB) late gadolinium enhancement (LGE) shows superior myocardial scar detection compared to bright-blood (BB) LGE. This meta-analysis confirms DB LGE
Area of Science:
- Cardiovascular Imaging
- Radiology
- Medical Physics
Background:
- Late gadolinium enhancement (LGE) is crucial for myocardial scar assessment.
- Distinguishing between dark-blood (DB) and bright-blood (BB) LGE techniques is important for optimizing scar detection.
- Previous studies have yielded mixed results regarding the comparative efficacy of DB LGE and BB LGE.
Purpose of the Study:
- To conduct a meta-analysis comparing the head-to-head performance of DB LGE and BB LGE for detecting myocardial scars.
- To evaluate differences in scar detection rates, contrast-to-noise ratios, and reader confidence between the two LGE techniques.
Main Methods:
- A systematic review and meta-analysis of studies comparing DB LGE and BB LGE in the same patients.
- Inclusion criteria involved studies reporting on LGE detection, papillary muscle enhancement, scar-to-blood contrast-to-noise ratio (CNR), or reader confidence.
- Outcomes were pooled using random-effects models, with heterogeneity assessed by the I² statistic.
Main Results:
- Twenty-three studies with 1823 patients were analyzed.
- DB LGE demonstrated significantly higher rates of segment-level and patient-level LGE detection, particularly for ischemic patterns.
- DB LGE also showed improved scar-to-blood CNR and greater reader confidence in detecting ischemic LGE.
Conclusions:
- Dark-blood LGE offers superior performance for myocardial scar detection compared to bright-blood LGE.
- DB LGE is particularly advantageous for identifying ischemic myocardial scars and papillary muscle fibrosis.
- These findings support the use of DB LGE for enhanced cardiac scar assessment.
Abstract:
Purpose To perform a meta-analysis of the head-to-head performance of dark-blood (DB) late gadolinium enhancement (LGE) and bright-blood (BB) LGE for myocardial scar detection. Materials and Methods This systematic review and meta-analysis included studies identified from PubMed, Embase, and the Cochrane Library, from database inception through October 2025, in which both DB LGE and BB LGE were acquired in the same patient sample. In eligible studies, at least one prespecified outcome (per-segment or per-patient LGE detection, papillary enhancement, scar-to-blood contrast-to-noise ratio [CNR], or reader confidence) was reported. Outcomes were pooled as odds ratios (ORs), mean differences (MDs), or standard MDs (SMDs) using a random-effects model, and heterogeneity was assessed with the I2 statistic. Subgroup analyses according to LGE etiology were performed when data permitted. Results Twenty-three studies including 1823 patients were analyzed. DB LGE was associated with higher overall segment-level LGE detection (OR, 1.26 [95% CI: 1.10, 1.44]), overall per-patient LGE detection (OR, 1.19 [95% CI: 1.01, 1.40]), ischemic segment-level detection (OR, 1.31 [95% CI: 1.15, 1.49]), and papillary muscle LGE detection (OR, 2.82 [95% CI: 1.81, 4.42]). DB LGE was also associated with a higher scar-to-blood CNR (MD, 10.48 [95% CI: 5.95, 15.01]) and greater reader confidence in the detection of ischemic LGE (SMD, 0.72 [95% CI: 0.23, 1.20]). Conclusion DB LGE was associated with higher myocardial scar detection and greater scar-to-blood contrast than BB LGE, particularly for ischemic patterns and papillary muscle fibrosis. Keywords: MR Imaging, Cardiac, Heart, Myocardium, Ischemia/Infarction, Technical Aspects, Meta-Analysis, Cardiac Magnetic Resonance, Late Gadolinium Enhancement, Dark Blood, Bright Blood Supplemental material is available for this article. © RSNA, 2026.
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