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Congress: ECR25
Poster Number: C-19104
Type: Poster: EPOS Radiologist (scientific)
Authorblock: M. Aymerich, B. González-Oblanca, A. Garcia Baizan, M. Otero Garcia; Vigo/ES
Disclosures:
Maria Aymerich: Nothing to disclose
Beatriz González-Oblanca: Nothing to disclose
Alejandra Garcia Baizan: Nothing to disclose
Milagros Otero Garcia: Nothing to disclose
Keywords: Artificial Intelligence, CT, CT-Quantitative, Computer Applications-General, Experimental investigations, Physics, Kv imaging
Results

In terms of repeatability, as the energy of the reconstruction increased, the percentage of features with excellent ICC also increased, ranging from 80% to 95% of the analyzed features meeting this criterion. The results are shown in Figure 4.  

Fig 4: ICC histogram for the test-retest analysis of the radiomic features of the single tube acquisition and the different reconstructions from fsCT.
In general, the ICC was excellent for 76.9% to 95% of the features, both in single-energy acquisitions and in reconstructions derived from dual-energy acquisitions.

When comparing kV-Like reconstructions, it can be observed that as the simulated kilovoltage increases, the number of features with excellent ICC also increases. It should be noted that the High kV reconstruction generates the image using only the data collected from the tube operating at 140 kV during fast kV switching.

When analyzed by feature families, as shown in Figure 5, first-order features achieved an excellent ICC in 100% of cases across all conducted studies. The GLCM group (Gray Level Co-occurrence Matrix) showed the second-best performance, with an excellent ICC in 86.3% to 100% of features, while the remaining features in this group exhibited a good ICC.  

Fig 5: Test-retest analysis of the radiomic features of the single tube acquisition and the different reconstructions from fsCT per radiomic family.
Only the 100 kV-Like and VUE reconstructions contained features with poor ICC in three of the evaluated feature groups. Finally, it both the 120 kV single-energy acquisition and the High kV-Like reconstruction achieved an ICC greater than 75% for all analyzed features.

Next, we aim to analyze the reproducibility of radiomic features by comparing a single-energy acquisition with a kV-Like reconstruction. A priori, the data would be expected to be highly similar, as the kV-Like reconstruction simulates, based on dual-energy information, an image comparable to that obtained from a single-energy tube. As shown in Figure 6, the behavior is very similar when comparing 100 kV and 120 kV, with a difference of ≤3% across all feature categories.  

Fig 6: Histogram representing the ICC of the comparison of Like reconstructions and simple tube acquisitions at 100kV, 120kV and 140kV/High kV.
In the High-140 kV reconstruction, better values are obtained, with 70.3% of features showing an excellent coefficient and 15.38% classified as good. When analyzing concordance results across different feature groups, Figure 7 shows that the features belonging to the First-Order and GLCM groups achieve the highest percentage of features with excellent concordance.  
Fig 7: Comparison of Like reconstructions and simple tube acquisitions at 100kV, 120kV and 140kV/High kV, per radiomic family.

Since the manufacturer specifies the equivalence between monoenergetic images (ME) at 68 keV and 74 keV with those obtained using a single-energy tube at 100 kV and 120 kV, respectively, their impact on radiomic features was analyzed. As shown in Figure 8, more than 70% of the features exhibit excellent concordance in both comparisons. Although the results are similar for both energy levels, the comparison between 120 kV and ME 74 keV shows fewer features with poor concordance.  

Fig 8: Histogram representing the ICC of the comparison of ME reconstructions and single tube acquisitions at 100kV and 120kV.

Finally, to identify the most robust features, those with an ICC greater than 0.9 across all comparisons were selected. Additionally, a coefficient of variation lower than 10% was included as a criterion. As a result, the images shown in Figure 9 were obtained.  

Fig 9: Radiomic features that fulfill the reproducibility and repeatability conditions.

GALLERY