Abstract
BackgroundTo explore the characteristics of myocardial textures on coronary computed tomography angiography (CCTA) images in patients with coronary atherosclerotic heart disease, a classification model was established, and the diagnostic effectiveness of CCTA for myocardial ischaemia patients was explored.MethodsThis was a retrospective analysis of the CCTA images of 155 patients with clinically diagnosed coronary heart disease from September 2019 to January 2020, 79 of whom were considered positive (myocardial ischaemia) and 76 negative (normal myocardial blood supply) according to their clinical diagnoses. By using the deep learning model-based CQK software, the myocardium was automatically segmented from the CCTA images and used to extract texture features. All patients were randomly divided into a training cohort and a test cohort at a 7:3 ratio. The Spearman correlation and least absolute shrinkage and selection operator (LASSO) method were used for feature selection. Based on the selected features of the training cohort, a multivariable logistic regression model was established. Finally, the test cohort was used to verify the regression model.ResultsA total of 387 features were extracted from the CCTA images of the 155 coronary heart disease patients. After performing dimensionality reduction with the Spearman correlation and LASSO, three texture features were selected. The accuracy, area under the curve, specificity, sensitivity, positive predictive value and negative predictive value of the constructed multivariable logistic regression model with the test cohort were 0.783, 0.875, 0.733, 0.875, 0.650 and 0.769, respectively.ConclusionCCTA imaging texture features of the myocardium have potential as biomarkers for diagnosing myocardial ischaemia.
Highlights
To explore the characteristics of myocardial textures on coronary computed tomography angiography (CCTA) images in patients with coronary atherosclerotic heart disease, a classification model was established, and the diagnostic effectiveness of CCTA for myocardial ischaemia patients was explored
The assessment of haemodynamics by coronary artery lesions displayed on CCTA images remains unclear since there is no significant relationship between arterial stenosis and blood flow changes in the myocardium [8, 9]
Materials All patients with a diagnosis of myocardial ischaemia with available CCTA images between September 1, 2019, and January 1, 2020, at Xiamen Cardiovascular Hospital Xiamen University in Fujian Province were retrospectively included in this study
Summary
To explore the characteristics of myocardial textures on coronary computed tomography angiography (CCTA) images in patients with coronary atherosclerotic heart disease, a classification model was established, and the diagnostic effectiveness of CCTA for myocardial ischaemia patients was explored. Coronary CT angiography (CCTA) is a non-invasive imaging technique that can clearly display the anatomy of the coronary arteries. It has advantages in evaluating coronary artery stenosis, atherosclerotic plaque, calcification, and cardiac function (based on noninvasive coronary fractional flow reserve (FFR)) [4,5,6,7]. It is considered a routine examination method for patients with suspected CHD. A combination of different examinations for the diagnosis of myocardial ischaemia is needed (stress single-photon emission computed tomography/positron emission tomography (SPECT/PET), stress cardiac magnetic resonance (CMR), or invasive FFR) [10]
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