Academic Journal

Comparison Study of Myocardial Radiomics Feature Properties on Energy-Integrating and Photon-Counting Detector CT

التفاصيل البيبلوغرافية
العنوان: Comparison Study of Myocardial Radiomics Feature Properties on Energy-Integrating and Photon-Counting Detector CT
المؤلفون: Isabelle Ayx, Hishan Tharmaseelan, Alexander Hertel, Dominik Nörenberg, Daniel Overhoff, Lukas T. Rotkopf, Philipp Riffel, Stefan O. Schoenberg, Matthias F. Froelich
المصدر: Diagnostics, Vol 12, Iss 5, p 1294 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Medicine (General)
مصطلحات موضوعية: photon-counting computed tomography, feature stability, cardiac imaging, radiomics, Medicine (General), R5-920
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2075-4418
Relation: https://www.mdpi.com/2075-4418/12/5/1294; https://doaj.org/toc/2075-4418
DOI: 10.3390/diagnostics12051294
URL الوصول: https://doaj.org/article/cc22a962687744189404226bda168889
رقم الانضمام: edsdoj.22a962687744189404226bda168889
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20754418
DOI:10.3390/diagnostics12051294