TI-RADS for Ultrasound
There has been suggested several thyroid imaging reporting and data systems since 2009. Among these systems there is no consensus concerning the exact format and style for reporting the results of thyroid ultrasound.
E. Horvath et al., established 6 categories and called it Thyroid Imaging Reporting and Data System (TI-RADS) based on 10 sonographic patterns. They suggested that patients with TI-RADS 4 and 5 nodules must be biopsied. Interobserver agreement with this classification has been reported fair to moderate, with a high negative predictive value.
BLUEBERRY DIAGNOSTICS has already implemented ―for training or educational purposes―, the last versions of TI-RADS for Thyroid Cancer screening and detection. Use is free of charge and not limited.
Thyroid Imaging Reporting and Data System (TI-RADS) by American College of Radiology is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Once entered the patient data, our TI-RADS Score Calculator for US presents the results as a PDF document, that can be downloaded or sent by email.
Click here to open it in PDF format.
The report includes all Patient Data as well as Score, calculated according last version of TI-RADS.
The Science Behind TI-RADS for Ultrasound
Based on Publications
- Edward, G., Grant, et al. (2015). Thyroid Ultrasound Reporting Lexicon: White Paper of the ACR Thyroid Imaging, Reporting and Data System (TIRADS) Committee. American College of Radiology. DOI: 10.1016/j.jacr.2015.07.011.
- Franklin, N., Tessler, et al. (2017). Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee. American College of Radiology. DOI: 10.1016/j.jacr.2017.01.046.
- Ben, M. L., Souissi, B., et al. (2015). The Thyroid Imaging Reporting and Data System (TIRADS) for ultrasound of the thyroid: a practical approach. European Society of Radiology. DOI: 10.1594/ecr2015/C-2425.
- Fernández, J. S. (2014). TI-RADS classification of thyroid nodules based on a score modified according to ultrasound criteria for malignancy. Sociedad Argentina de Radiología. Revista Argentina de Radiología, 78 (3): 138-148. PDF.