Abstract
Purpose
The aim of our study is to investigate the impact of iodine quantification on image reconstruction when employing a vascular-specific contrast media phantom with varying iodine concentrations.
Materials and methods
A 30-cm phantom simulating arterial and venous blood vessel diameters was manufactured. Small (9 mm) and medium (12 mm) cylinders contained iodine concentrations from 10 to 100% while large (21 mm) cylinders were in quartiles from 25 to 100% diluted in blood equivalent medium. Each phantom was filled with either iohexol 350 mgI/mL (Group A) or iodixanol 320 mgI/mL (Group B) and then scanned separately. For each group, tube potential (80–140 kVp) and current (50–400 mAs) were changed and all image series were reconstructed with filtered back projection (FBP), hybrid-based iterative reconstruction (HBIR) and model-based iterative reconstruction (MBIR). Mean opacification was measured in all groups. All data were compared employing an independent t test and Pearson’s correlation. Visual grading characteristic (VGC) and Cohens’ kappa analyses were performed.
Results
At 80 kVp, mean opacification using HBIR was significantly higher in Group B (2165 ± 1108 HU) than in Group A (2040 ± 1036 HU) (p < 0.009). At 140 kVp, MBIR and HBIR were greater in Group A (1704 ± 1033 HU and 1685 ± 1023 HU) versus Group B (1567 ± 1036 HU and 1567 ± 1034 HU) (p < 0.022). CNR using FBP, HBIR and MBIR was higher in Group B (46 ± 42 HU, 70 ± 163 HU and 83 ± 74 HU, respectively) than in Group A (43 ± 39 HU, 174 ± 130 HU and 80 ± 65 HU, respectively) (p < 0.0001–0.035). Qualitative image analysis demonstrated no difference in Cohen’s kappa analysis. VGC was higher in Group A at all image reconstruction groups.
Conclusion
Iohexol outperforms iodixanol in observer performance when assessing image reconstruction techniques and iodine concentrations in a vascular-specific contrast media phantom.
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Abbreviations
- CNR:
-
Contrast-to-noise ratio
- CT:
-
Computed tomography
- FBP:
-
Filtered back projection
- HBIR:
-
Hybrid-based iterative reconstruction
- HU:
-
Hounsfield unit
- IMR:
-
Iterative model reconstruction
- MBIR:
-
Model-based iterative reconstruction
- ROI:
-
Region of interest
- SD:
-
Standard deviation
- VGC:
-
Visual grading characteristic
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Funding
The University Research Board of the American University of Beirut funded this study (Award Number: 103608–Project Number: 24622). The funding source was not involved in the study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.
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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Dr. Alai S. Abi-Ghanem, Prof Charbel Saade and Dr. Lina Karout. The first draft of the manuscript was written by Dr. Charbel Saade and Dr. Alain S. Abi-Ghanem and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Saade, C., Karout, L., El Asmar, K. et al. Impact of various iodine concentrations of iohexol and iodixanol contrast media on image reconstruction techniques in a vascular-specific contrast media phantom: quantitative and qualitative image quality assessment. Radiol med 126, 221–230 (2021). https://doi.org/10.1007/s11547-020-01253-4
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DOI: https://doi.org/10.1007/s11547-020-01253-4