Potential use of radiomics analysis of cine-mode cardiac MRI to detect post-infarction lesions in the left ventricular myocardium

Abstract

BACKGROUND: The size and location of an infarct lesion and its clear differentiation from normal tissue are important for clinical diagnosis and precision medicine. This paper is based on the study of radiomic attributes for differentiation of infarct and non infarct tissue using non contrast enhanced cine mode cardiac magnetic resonance imaging (MRI) data.

AIM: The aim of the study was to evaluate the potential use and informative value of radiomics analysis to identify post-infarction lesions in the left ventricular myocardium in patients with ischemic cardiomyopathy (ICM) using non-contrast-enhanced cine-mode cardiac MRI.

MATERIALS AND METHODS: Results of contrast-enhanced cardiac MRI were evaluated in 33 patients following surgical treatment for ICM. Texture analysis was performed on 66 lesions in cine-mode cardiac MRI images, and 105 texture attributes were determined for each lesion. Cardiac MRI was performed according to a standard technique using a Vantage Titan 1.5 T MRI scanner (Toshiba). For texture analysis, 3D Slicer version 5.2.2 (Pyradiomics) was used.

RESULTS: During the study, attribute collinearity diagrams were plotted, zero-significance attributes were identified, and attribute significance was determined using a gradient boosting algorithm, and the cumulative significance of attributes was estimated as a function of their total number. By identifying low-significance attributes, the least significant parameters that did not affect the overall significance level were determined. When single-valued attributes were extracted, no corresponding attributes were found. Based on the analysis results, an ROC curve was constructed for Lasso logistic regression (Se=57.14%, Sp=71.43%, AUC=0.76). The main result of this study was to determine radiomic attributes that characterized lesions corresponding to post-infarction cardiosclerosis and intact left ventricular wall based on cine-mode cardiac MRI images.

CONCLUSIONS: This study demonstrated that radiomics analysis of non-contrast-enhanced cine-mode cardiac MRI images is a promising approach to identify lesions corresponding to myocardial infarction and intact wall. This method may potentially be used to identify lesions of post-infarction cardiosclerosis in patients with ICM without contrast enhancement.

Keywords

radiomics / texture analysis / cardiac magnetic resonance imaging / myocardial infarction / ischemic cardiomyopathy

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