Trimboli, Pierpaolo Ferrarazzo, Giulia Deandrea, Maurilio Camponovo, Chiara Romanelli, Francesco Piccardo, Arnoldo Durante, Cosimo 2022 Background: A number of ultrasound risk stratification systems (RSSs) of thyroid nodule, often labeled as TIRADS (Thyroid Imaging Reporting and Data System), have been proposed. As a consequence, an increasing number of studies have been published on this topic. This systematic review was undertaken to answer specific questions in this field: how many articles and what type of studies have been published, which TIRADSs/RSSs have preferably been discussed, and what is the geographic distribution of the publications. Methods: The study was conducted according to PRISMA. A specific search algorithm was used. Defined selection criteria were applied. Results: 502 studies were finally included. The number of publications about TIRADSs/RSSs has increased over the time, being the Horvath TIRADS the most evaluated one. The first author of the article was from China in one fourth of cases. Conclusions: The number of scientific articles focused on TIRADSs/RSSs is high and it has been importantly increased over the time. application/pdf https://susi.usi.ch/global/documents/325749 https://localhost:5000/ark:/12658/srd1325749 https://susi.usi.ch/documents/325749/files/Trimboli_2021_Spri_cti.pdf eng info:eu-repo/semantics/altIdentifier/doi/10.1007/s40336-021-00472-7 info:eu-repo/semantics/altIdentifier/ark/12658/srd1325749 info:eu-repo/semantics/openAccess CC BY Clinical and translational imaging. - 2022, vol. 10, p. 185–190 Thyroid nodule Ultrasound Thyroid Imaging Reporting and Data System (TIRADS) Systematic review info:eu-repo/classification/udc/61 Interest of researchers in ultrasound systems for risk stratifcation of thyroid nodules (TIRADS) : a systematic review http://purl.org/coar/resource_type/c_6501