Evaluation of radiomics feature stability in abdominal monoenergetic photon counting CT reconstructions

• Verfasst von: Tharmaseelan, Hishan [VerfasserIn]
• Verfasst von: Rotkopf, Lukas Thomas [VerfasserIn]
• Verfasst von: Ayx, Isabelle [VerfasserIn]
• Verfasst von: Hertel, Alexander [VerfasserIn]
• Verfasst von: Nörenberg, Dominik [VerfasserIn]
• Verfasst von: Schönberg, Stefan [VerfasserIn]
• Verfasst von: Froelich, Matthias F. [VerfasserIn]
• Titel: Evaluation of radiomics feature stability in abdominal monoenergetic photon counting CT reconstructions
• Verf.angabe: Hishan Tharmaseelan, Lukas T. Rotkopf, Isabelle Ayx, Alexander Hertel, Dominik Nörenberg, Stefan O. Schoenberg and Matthias F. Froelich
• E-Jahr: 2022
• Jahr: 15 November 2022
• Umfang: 12 S.
• Fussnoten: Gesehen am 25.07.2023
• Titel Quelle: Enthalten in: Scientific reports
• Ort Quelle: [London] : Springer Nature, 2011
• Jahr Quelle: 2022
• Band/Heft Quelle: 12(2022), Artikel-ID 19594, Seite 1-12
• ISSN Quelle: 2045-2322
• DOI: doi:10.1038/s41598-022-22877-8
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Computational models
• Sach-SW: Data processing
• Sach-SW: Image processing
• Sach-SW: Medical imaging
• Sach-SW: Software
• K10plus-PPN: 1853608041
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

Feature stability and standardization remain challenges that impede the clinical implementation of radiomics. This study investigates the potential of spectral reconstructions from photon-counting computed tomography (PCCT) regarding organ-specific radiomics feature stability. Abdominal portal-venous phase PCCT scans of 10 patients in virtual monoenergetic (VM) (keV 40-120 in steps of 10), polyenergetic, virtual non-contrast (VNC), and iodine maps were acquired. Two 2D and 3D segmentations measuring 1 and 2 cm in diameter of the liver, lung, spleen, psoas muscle, subcutaneous fat, and air were obtained for spectral reconstructions. Radiomics features were extracted with pyradiomics. The calculation of feature-specific intraclass correlation coefficients (ICC) was performed by comparing all segmentation approaches and organs. Feature-wise and organ-wise correlations were evaluated. Segmentation-resegmentation stability was evaluated by concordance correlation coefficient (CCC). Compared to non-VM, VM-reconstruction features tended to be more stable. For VM reconstructions, 3D 2 cm segmentation showed the highest average ICC with 0.63. Based on a criterion of ≥ 3 stable organs and an ICC of ≥ 0.75, 12—mainly non-first-order features—are shown to be stable between the VM reconstructions. In a segmentation-resegmentation analysis in 3D 2 cm, three features were identified as stable based on a CCC of > 0.6 in ≥ 3 organs in ≥ 6 VM reconstructions. Certain radiomics features vary between monoenergetic reconstructions and depend on the ROI size. Feature stability was also shown to differ between different organs. Yet, glcm_JointEntropy, gldm_GrayLevelNonUniformity, and firstorder_Entropy could be identified as features that could be interpreted as energy-independent and segmentation-resegmentation stable in this PCCT collective. PCCT may support radiomics feature standardization and comparability between sites.