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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
References

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3. Mayerhoefer, M. E., Materka, A., Langs, G., Häggström, I., SzczypiÅ„ski, P., Gibbs, P., & Cook, G. Introduction to radiomics. Journal of Nuclear Medicine, 2020; 61(4), 488-495.

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6.Aymerich M, Riveira-Martin M, Garcia-Baizan A, Gonzalez-Pena M, Sebastia C, Lopez- Medina A, et al. Pilot Study for the Assessment of the Best Radiomic Features for Bosniak Cyst Classification Using Phantom and Radiologist Inter-Observer Selection. Diagnostics. 2023; 13(8):1384.

7. Berenguer R, Pastor-Juan MDR, Canales-Vazquez J, Castro-Garcia M, Villas MV, Mansilla Legorburo F, et al. Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters. Radiology. 2018; 288(2):407-15.

8. Mackin D, Fave X, Zhang L, Fried D, Yang J, Taylor B, et al. Measuring Computed Tomography Scanner Variability of Radiomics Features: Investigative Radiology. 2015; 50(11):757-65.

9. Raunig DL, McShane LM, Pennello G, Gatsonis C, Carson PL, Voyvodic JT, et al. Quantitative imaging biomarkers: A review of statistical methods for technical performance assessment. Stat Methods Med Res. 2015; 24(1):27-67.

10. Zhong J, Pan Z, Chen Y, Wang L, Xia Y, Wang L, et al. Robustness of radiomics features of virtual unenhanced and virtual monoenergetic images in dual-energy CT among different imaging platforms and potential role of CT number variability. Insights Imaging. 2023; 14(1):79.
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