2026-10-12T19:22:27Z https://www.scidb.cn/oai

10.57760/sciencedb.07686 2024-05-06T09:46:40Z

2024-05-06 Diagnostic nomogram model for ACR TI-RADS 4 nodules based on clinical, biochemical data, and sonographic patterns doi:10.57760/sciencedb.07686 en 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. Thyroid nodules; ACR TI-RADS 4; Fine Needle Aspiration; Nomogram Jianhui Li PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank