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 |