Comparison of diagnostic accuracy and utility of artificial intelligence–optimized ACR TI-RADS and original ACR TI-RADS: a multi-center validation study based on 2061 thyroid nodules

[1] Li Y(2020)Efficacy and safety of long-term universal salt iodization on thyroid disorders: epidemiological evidence from 31 provinces of mainland China Thyroid 30 568-579

[2] Teng D(2016)Diagnostic accuracy of ultrasound-guided fine needle aspiration biopsy for thyroid malignancy: systematic review and meta-analysis Endocrine 53 651-661

[3] Ba J(2018)Interobserver variability of sonographic features used in the American College of Radiology Thyroid Imaging Reporting and Data System AJR Am J Roentgenol 211 162-167

[4] Singh Ospina N(2014)Korea’s thyroid-cancer “epidemic”--screening and overdiagnosis N Engl J Med 371 1765-1767

[5] Brito J(2019)Using artificial intelligence to revise ACR TI-RADS risk stratification of thyroid nodules: diagnostic accuracy and utility Radiology 292 112-119

[6] Maraka S(2018)Reduction in thyroid nodule biopsies and improved accuracy with American College of Radiology Thyroid Imaging Reporting and Data System Radiology 287 185-193

[7] Hoang JK(2017)The 2017 Bethesda system for reporting thyroid cytopathology Thyroid 27 1341-1346

[8] Middleton WD(2018)Comparison of performance characteristics of American College of Radiology TI-RADS, Korean Society of Thyroid Radiology TIRADS, and American Thyroid Association Guidelines AJR Am J Roentgenol 210 1148-1154

[9] Farjat AE(2016)Malignancy risk stratification of thyroid nodules: comparison between the Thyroid Imaging Reporting and Data System and the 2014 American Thyroid Association Management Guidelines Radiology 278 917-924

[10] Ahn H(2019)Diagnostic performance of practice guidelines for thyroid nodules: thyroid nodule size versus biopsy rates Radiology 291 92-99

[1] Li Y(2020)Efficacy and safety of long-term universal salt iodization on thyroid disorders: epidemiological evidence from 31 provinces of mainland China Thyroid 30 568-579

[2] Teng D(2016)Diagnostic accuracy of ultrasound-guided fine needle aspiration biopsy for thyroid malignancy: systematic review and meta-analysis Endocrine 53 651-661

[3] Ba J(2018)Interobserver variability of sonographic features used in the American College of Radiology Thyroid Imaging Reporting and Data System AJR Am J Roentgenol 211 162-167

[4] Singh Ospina N(2014)Korea’s thyroid-cancer “epidemic”--screening and overdiagnosis N Engl J Med 371 1765-1767

[5] Brito J(2019)Using artificial intelligence to revise ACR TI-RADS risk stratification of thyroid nodules: diagnostic accuracy and utility Radiology 292 112-119

[6] Maraka S(2018)Reduction in thyroid nodule biopsies and improved accuracy with American College of Radiology Thyroid Imaging Reporting and Data System Radiology 287 185-193

[7] Hoang JK(2017)The 2017 Bethesda system for reporting thyroid cytopathology Thyroid 27 1341-1346

[8] Middleton WD(2018)Comparison of performance characteristics of American College of Radiology TI-RADS, Korean Society of Thyroid Radiology TIRADS, and American Thyroid Association Guidelines AJR Am J Roentgenol 210 1148-1154

[9] Farjat AE(2016)Malignancy risk stratification of thyroid nodules: comparison between the Thyroid Imaging Reporting and Data System and the 2014 American Thyroid Association Management Guidelines Radiology 278 917-924

[10] Ahn H(2019)Diagnostic performance of practice guidelines for thyroid nodules: thyroid nodule size versus biopsy rates Radiology 291 92-99