Diagnostic nomogram model for ACR TI-RADS 4 nodules based on clinical, biochemical data, and sonographic patterns

In this study, we aim to establish and validate a nomogram model for predicting the malignancy rates in the Thyroid Imaging Reporting and Data System 4 (TR4) nodules. Briefly, 1557 cases were retrospectively collected from our medical center. 8 out of 22 variables (age, margin, extrathyroidal extension, halo, calcification, suspicious lymph node metastasis, aspect ratio, and thyroid peroxidase antibody) were used to build a diagnostic nomogram model. The presented nomogram model has satisfied clinical practicability in predicting the malignancy probability of the TR4 nodules.