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Fig. 2 | Cancer Imaging

Fig. 2

From: Dual-modal radiomics nomogram based on contrast-enhanced ultrasound to improve differential diagnostic accuracy and reduce unnecessary biopsy rate in ACR TI-RADS 4–5 thyroid nodules

Fig. 2

Dual-modal US radiomics nomogram and its predictive performance for TI-RADS 4 and 5 thyroid nodules. (A) A dual-modal US radiomics nomogram was constructed with BMUS Rad-score, CEUS Rad-score, age, shape, margin, and enhancement direction for predicting malignancy of TI-RADS 4–5 thyroid nodules. (B) Calibration curves of the dual-modal US radiomics nomogram in the training and validation cohorts. The red and green lines represent the actual predictive probabilities of malignancy of the nomogram in the training and validation cohorts, respectively, and the dashed black line represents an ideal prediction. (C) A decision curve analysis (DCA) shows the role of three different models in predicting benign and malignant TI-RADS 4–5 thyroid nodules derived from the entire cohort (n = 312). The DCA shows that using the dual-modal US radiomics nomogram (red curve) to predict benign and malignant TI-RADS 4–5 thyroid nodules provided a greater benefit than the clinical combined US model (green curve) and dual-modal US Rad-score (orange curve). BMUS = B-mode ultrasound, CEUS = contrast-enhanced ultrasound, US = ultrasound, Rad-score = radiomics score

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Cancer Imaging

ISSN: 1470-7330

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