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Retrospective Study
Copyright: ©Author(s) 2026.
World J Radiol. Sep 28, 2026; 18(9): 124658
Published online Sep 28, 2026. doi: 10.4329/wjr.124658
Figure 1
Figure 1 The study flow chart. NSCLC: Non-small-cell lung cancer; MWA: Microwave ablation; CT: Computed tomography.
Figure 2
Figure 2 Flowchart of radiomic analysis. A-C: Representative axial slices of pre-microwave ablation computed tomography scans, with yellow contours delineating the primary lung tumor; D-F: Representative axial slices of immediate post-microwave ablation computed tomography scans, yellow contours mark the ablation zone after thermal ablation. MWA: Microwave ablation; CT: Computed tomography.
Figure 3
Figure 3 Receiver operating characteristic curves for predicting 6-month local tumor progression using four different prediction models. A: The receiver operating characteristic (ROC) curves of prediction models of 6-month local tumor progression (LTP) based on pre-microwave ablation (MWA) computed tomography (CT) features. The ROC curves were used to evaluate the models, and the areas under the curve area under the ROC curve (AUC) was 0.689; B: The ROC curves of prediction models of 6-month LTP based on pre-MWA CT features and simple clinical characteristics. The ROC curves were used to evaluate the models, and the areas under the curve AUC was 0.849; C: The ROC curves of prediction models of 6-month LTP based on post-MWA CT features. The ROC curves were used to evaluate the models, and the areas under the curve AUC was 0.849; D: The ROC curves of prediction models of 6-month LTP based on post-MWA CT features and clinical variables. The ROC curves were used to evaluate the models, and the areas under the curve AUC was 0.907. MWA: Microwave ablation; CT: Computed tomography; AUC: Areas under the curve area under the receiver operating characteristic curve.


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