ArticleThe international journal of cardiovascular imaging2017
Impact of knowledge-based iterative model reconstruction on myocardial late iodine enhancement in computed tomography and comparison with cardiac magnetic resonance.
Article in The international journal of cardiovascular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- CT for the evaluation of myocardial extracellular volume with MRI as reference: a systematic review and meta-analysis.European radiology · 2023Pooled it
- Late iodine enhancement computed tomography with image subtraction for assessment of myocardial infarction.European radiology · 2018Trial
- Diagnostic Value and Operational Recommendations for Late Iodine Enhancement and ECV Quantification in Single-Energy Computed Tomography: A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- Super-resolution deep learning reconstruction for improved quality of myocardial CT late enhancement.Japanese journal of radiology · 2025Article
- Myocardial late enhancement using dual-source CT: intraindividual comparison of single-energy shuttle and dual-energy acquisition.Insights into imaging · 2025Article
- State of the art of CT myocardial perfusion.La Radiologia medica · 2025Review
- Strong Diagnostic Performance of Single Energy 256-row Multidetector Computed Tomography with Deep Learning Image Reconstruction in the Assessment of Myocardial Fibrosis.Internal medicine (Tokyo, Japan) · 2024Article
- Imaging biomarkers in cardiac CT: moving beyond simple coronary anatomical assessment.La Radiologia medica · 2024Review
- [Beyond Coronary CT Angiography: CT Fractional Flow Reserve and Perfusion].Taehan Yongsang Uihakhoe chi · 2022Review
- Improved Diagnostic Performance of New-generation 320-slice Computed Tomography with Forward-projected Model-based Iterative Reconstruction SoluTion for the Assessment of Late Enhancement in Left Ventricular Myocardium.Internal medicine (Tokyo, Japan) · 2020Article
- Computed tomographic evaluation of myocardial ischemia.Japanese journal of radiology · 2020Review
- Basal septal perforator vein mimicking the "late iodine enhancement" in delayed phase cardiac CT for myocardial scar assessment.Radiology case reports · 2019Article
- Cardiovascular imaging 2017 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2018Article
- The role of advanced reconstruction algorithms in cardiac CT.Cardiovascular diagnosis and therapy · 2017Review
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We evaluated the image quality and diagnostic performance of late iodine enhancement computed tomography (LIE-CT) with knowledge-based iterative model reconstruction (IMR) for the detection of myocardial infarction (MI) in comparison with late gadolinium enhancement magnetic resonance imaging (LGE-MRI). The study investigated 35 patients who underwent a comprehensive cardiac CT protocol and LGE-MRI for the assessment of coronary artery disease. The CT protocol consisted of stress dynamic myocardial CT perfusion, coronary CT angiography (CTA) and LIE-CT using 256-slice CT. LIE-CT scans were acquired 5 min after CTA without additional contrast medium and reconstructed with filtered back projection (FBP), a hybrid iterative reconstruction (HIR), and IMR. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were assessed. Sensitivity and specificity of LIE-CT for detecting MI were assessed according to the 16-segment model. Image quality scores, and diagnostic performance were compared among LIE-CT with FBP, HIR and IMR. Among the 35 patients, 139 of 560 segments showed MI in LGE-MRI. On LIE-CT with FBP, HIR, and IMR, the median SNRs were 2.1, 2.9, and 6.1; and the median CNRs were 1.7, 2.2, and 4.7, respectively. Sensitivity and specificity were 56 and 93% for FBP, 62 and 91% for HIR, and 80 and 91% for IMR. LIE-CT with IMR showed the highest image quality and sensitivity (p < 0.05). The use of IMR enables significant improvement of image quality and diagnostic performance of LIE-CT for detecting MI in comparison with FBP and HIR.
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