A diagnostic model for non-invasive localization of culprit lesions in NSTE-ACS by integrating CCTA geometric and plaque parameters

Figures

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  Figure 1.. Case screening flowchart. CCTA, coronary computed tomography angiography; ICA, invasive coronary angiography.

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  Figure 2.. Schematic illustration of measuring AGCs. (a) Depicts the measurement of the distance between the plaque and the opening of the coronary sinus; (b) Indicates the origin of the collateral branch of the lesion, as highlighted by the arrow; (c) Demonstrates that the lesion is located within a tortuosity of ≥90°; (d) Shows that the lesion is present in three consecutive tortuous blood vessels, each with a tortuosity of ≥45°.

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  Figure 3.. Schematic diagram of the measurement of coronary artery plaque characteristics. Specifically, (a) Illustrates the process for identifying the centerline of the coronary artery, while (b) depicts the process for quantifying coronary plaque parameters.

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  Figure 4.. Schematic diagram of the measurement of HRP. (a) Depicts a plaque exhibiting positive remodeling characteristics; (b) Illustrates a plaque featuring a napkin ring sign; (c) Presents a plaque characterized by punctate calcification, and (d) shows a low-attenuation patch.

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  Figure 5.. The ROC curves of each model. (a) Illustrates the AUC for model 1, while (b) depicts the AUC for model 2. (c) Presents the AUC for model 3, and (d) highlights the best model, along with the verification of model 3’s AUC for both the training set and the validation set.

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  Figure 6.. A nomogram was constructed based on the optimal auxiliary diagnostic model.

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  Figure 7.. Calibration curves and decision curve analysis of the optimal model in the training and validation sets. (a) Calibration curve for the training set; (b) DCA for the training set; (c) Calibration curve for the validation set; (d) DCA for the validation set.

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  Figure 8.. ROC curves of the training and validation sets for the mixed-effects logistic regression model.

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  Figure 9.. Histogram of the AUC distribution under Bootstrap validation.