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Volume 12
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Article

Myocardial Radiomics Texture Features Associated with Increased Coronary Calcium Score—First Results of a Photon-Counting CT

by
Isabelle Ayx
1,*,
Hishan Tharmaseelan
1,
Alexander Hertel
1,
Dominik Nörenberg
1,
Daniel Overhoff
1,2,
Lukas T. Rotkopf
3,
Philipp Riffel
1,
Stefan O. Schoenberg
1 and
Matthias F. Froelich
1
1
Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
2
Department of Diagnostic and Interventional Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, Rübenacher Straße 170, 56072 Koblenz, Germany
3
Department of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
*
Author to whom correspondence should be addressed.
Diagnostics 2022, 12(7), 1663; https://doi.org/10.3390/diagnostics12071663
Submission received: 10 June 2022 / Revised: 3 July 2022 / Accepted: 5 July 2022 / Published: 8 July 2022
(This article belongs to the Special Issue Noninvasive Diagnosis of Cardiac Tumors)
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Abstract

The coronary artery calcium score is an independent risk factor of the development of adverse cardiac events. The severity of coronary artery calcification may influence the myocardial texture. Due to higher spatial resolution and signal-to-noise ratio, new CT technologies such as PCCT may improve the detection of texture alterations depending on the severity of coronary artery calcification. In this retrospective, single-center, IRB-approved study, left ventricular myocardium was segmented and radiomics features were extracted using pyradiomics. The mean and standard deviation with the Pearson correlation coefficient for correlations of features were calculated and visualized as boxplots and heatmaps. Random forest feature selection was performed. Thirty patients (26.7% women, median age 58 years) were enrolled in the study. Patients were divided into two subgroups depending on the severity of coronary artery calcification (Agatston score 0 and Agatston score ≥ 100). Through random forest feature selection, a set of four higher-order features could be defined to discriminate myocardial texture between the two groups. When including the additional Agatston 1–99 groups as a validation, a severity-associated change in feature intensity was detected. A subset of radiomics features texture alterations of the left ventricular myocardium was associated with the severity of coronary artery calcification estimated by the Agatston score.
Keywords: photon-counting computed tomography; coronary artery calcium score; radiomics; texture analysis photon-counting computed tomography; coronary artery calcium score; radiomics; texture analysis

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MDPI and ACS Style

Ayx, I.; Tharmaseelan, H.; Hertel, A.; Nörenberg, D.; Overhoff, D.; Rotkopf, L.T.; Riffel, P.; Schoenberg, S.O.; Froelich, M.F. Myocardial Radiomics Texture Features Associated with Increased Coronary Calcium Score—First Results of a Photon-Counting CT. Diagnostics 2022, 12, 1663. https://doi.org/10.3390/diagnostics12071663

AMA Style

Ayx I, Tharmaseelan H, Hertel A, Nörenberg D, Overhoff D, Rotkopf LT, Riffel P, Schoenberg SO, Froelich MF. Myocardial Radiomics Texture Features Associated with Increased Coronary Calcium Score—First Results of a Photon-Counting CT. Diagnostics. 2022; 12(7):1663. https://doi.org/10.3390/diagnostics12071663

Chicago/Turabian Style

Ayx, Isabelle, Hishan Tharmaseelan, Alexander Hertel, Dominik Nörenberg, Daniel Overhoff, Lukas T. Rotkopf, Philipp Riffel, Stefan O. Schoenberg, and Matthias F. Froelich. 2022. "Myocardial Radiomics Texture Features Associated with Increased Coronary Calcium Score—First Results of a Photon-Counting CT" Diagnostics 12, no. 7: 1663. https://doi.org/10.3390/diagnostics12071663

APA Style

Ayx, I., Tharmaseelan, H., Hertel, A., Nörenberg, D., Overhoff, D., Rotkopf, L. T., Riffel, P., Schoenberg, S. O., & Froelich, M. F. (2022). Myocardial Radiomics Texture Features Associated with Increased Coronary Calcium Score—First Results of a Photon-Counting CT. Diagnostics, 12(7), 1663. https://doi.org/10.3390/diagnostics12071663

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