Comparison study of myocardial radiomics feature properties on energy-integrating and photon-counting detector CT

• Verfasst von: Ayx, Isabelle [VerfasserIn]
• Verfasst von: Tharmaseelan, Hishan [VerfasserIn]
• Verfasst von: Hertel, Alexander [VerfasserIn]
• Verfasst von: Nörenberg, Dominik [VerfasserIn]
• Verfasst von: Overhoff, Daniel [VerfasserIn]
• Verfasst von: Rotkopf, Lukas Thomas [VerfasserIn]
• Verfasst von: Riffel, Philipp [VerfasserIn]
• Verfasst von: Schönberg, Stefan [VerfasserIn]
• Verfasst von: Froelich, Matthias F. [VerfasserIn]
• Titel: Comparison study of myocardial radiomics feature properties on energy-integrating and photon-counting detector CT
• Verf.angabe: Isabelle Ayx, Hishan Tharmaseelan, Alexander Hertel, Dominik Nörenberg, Daniel Overhoff, Lukas T. Rotkopf, Philipp Riffel, Stefan O. Schoenberg and Matthias F. Froelich
• Jahr: 2022
• Umfang: 11 S.
• Fussnoten: Published: 23 May 2022 ; Gesehen am 01.07.2022
• Titel Quelle: Enthalten in: Diagnostics
• Ort Quelle: Basel : MDPI, 2011
• Jahr Quelle: 2022
• Band/Heft Quelle: 12(2022), 5, Artikel-ID 1294, Seite 1-11
• ISSN Quelle: 2075-4418
• DOI: doi:10.3390/diagnostics12051294
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: cardiac imaging
• Sach-SW: feature stability
• Sach-SW: photon-counting computed tomography
• Sach-SW: radiomics
• K10plus-PPN: 1808797175

Abstract

The implementation of radiomics-based, quantitative imaging parameters is hampered by a lack of stability and standardization. Photon-counting computed tomography (PCCT), compared to energy-integrating computed tomography (EICT), does rely on a novel detector technology, promising better spatial resolution and contrast-to-noise ratio. However, its effect on radiomics feature properties is unknown. This work investigates this topic in myocardial imaging. In this retrospective, single-center IRB-approved study, the left ventricular myocardium was segmented on CT, and the radiomics features were extracted using pyradiomics. To compare features between scanners, a t-test for non-paired samples and F-test was performed, with a threshold of 0.05 set as a benchmark for significance. Feature correlations were calculated by the Pearson correlation coefficient, and visualization was performed with heatmaps. A total of 50 patients (56% male, mean age 56) were enrolled in this study, with equal proportions of PCCT and EICT. First-order features were, nearly, comparable between both groups. However, higher-order features showed a partially significant difference between PCCT and EICT. While first-order radiomics features of left ventricular myocardium show comparability between PCCT and EICT, detected differences of higher-order features may indicate a possible impact of improved spatial resolution, better detection of lower-energy photons, and a better signal-to-noise ratio on texture analysis on PCCT.