Liver Imaging Reporting and Data System (LI-RADS) v2018: diagnostic value of ancillary features favoring malignancy in hypervascular observations ≥ 10 mm at intermediate (LR-3) and high probability (LR-4) for hepatocellular carcinoma

[1] Chernyak V(2018)Liver Imaging Reporting and Data System (LI-RADS) version 2018: imaging of hepatocellular carcinoma in at-risk patients Radiology 289 816-830

[2] Fowler KJ(2018)Interreader reliability of LI-RADS version 2014 algorithm and imaging features for diagnosis of hepatocellular carcinoma: a large international multireader study Radiology 286 173-185

[3] Kamaya A(2018)Diagnosis, staging and management of hepatocellular carcinoma: 2018 practice guidance by the American Association for the Study of Liver Diseases Hepatology 68 723-750

[4] Fowler KJ(2018)Evidence supporting LI-RADS major features for CT- and MR imaging-based diagnosis of hepatocellular carcinoma: a systematic review Radiology 286 29-48

[5] Tang A(2018)LI-RADS® ancillary features on CT and MRI Abdom Radiol (NY) 43 82-100

[6] Santillan C(2018)LI-RADS for MR imaging diagnosis of hepatocellular carcinoma: performance of major and ancillary features Radiology 288 118-128

[7] Marrero JA(2019)LI-RADS for CT diagnosis of hepatocellular carcinoma: performance of major and ancillary features Abdom Radiol (NY) 44 517-528

[8] Kulik LM(2018)Prospective intraindividual comparison of magnetic resonance imaging with gadoxetic acid and extracellular contrast for diagnosis of hepatocellular carcinomas using the liver imaging reporting and data system. Hepatology 68 2254-2266

[9] Sirlin C(2017)Critical analysis of the major and ancillary imaging features of LI-RADS on 127 proven HCCs evaluated with functional and morphological MRI: lights and shadows Oncotarget 8 51224-51237

[10] Tang A(2018)Comparison of the accuracy of AASLD and LI-RADS criteria for the non-invasive diagnosis of HCC smaller than 3 cm J Hepatol 68 715-723

[1] Chernyak V(2018)Liver Imaging Reporting and Data System (LI-RADS) version 2018: imaging of hepatocellular carcinoma in at-risk patients Radiology 289 816-830

[2] Fowler KJ(2018)Interreader reliability of LI-RADS version 2014 algorithm and imaging features for diagnosis of hepatocellular carcinoma: a large international multireader study Radiology 286 173-185

[3] Kamaya A(2018)Diagnosis, staging and management of hepatocellular carcinoma: 2018 practice guidance by the American Association for the Study of Liver Diseases Hepatology 68 723-750

[4] Fowler KJ(2018)Evidence supporting LI-RADS major features for CT- and MR imaging-based diagnosis of hepatocellular carcinoma: a systematic review Radiology 286 29-48

[5] Tang A(2018)LI-RADS® ancillary features on CT and MRI Abdom Radiol (NY) 43 82-100

[6] Santillan C(2018)LI-RADS for MR imaging diagnosis of hepatocellular carcinoma: performance of major and ancillary features Radiology 288 118-128

[7] Marrero JA(2019)LI-RADS for CT diagnosis of hepatocellular carcinoma: performance of major and ancillary features Abdom Radiol (NY) 44 517-528

[8] Kulik LM(2018)Prospective intraindividual comparison of magnetic resonance imaging with gadoxetic acid and extracellular contrast for diagnosis of hepatocellular carcinomas using the liver imaging reporting and data system. Hepatology 68 2254-2266

[9] Sirlin C(2017)Critical analysis of the major and ancillary imaging features of LI-RADS on 127 proven HCCs evaluated with functional and morphological MRI: lights and shadows Oncotarget 8 51224-51237

[10] Tang A(2018)Comparison of the accuracy of AASLD and LI-RADS criteria for the non-invasive diagnosis of HCC smaller than 3 cm J Hepatol 68 715-723