Diagnostic Performance of LI-RADS Treatment Response Algorithm for Hepatocellular Carcinoma: Adding Ancillary Features to MRI Compared with Enhancement Patterns at CT and MRI-Reference-Cited by-同舟云学术

Diagnostic Performance of LI-RADS Treatment Response Algorithm for Hepatocellular Carcinoma: Adding Ancillary Features to MRI Compared with Enhancement Patterns at CT and MRI

Published:2020-09 Issue:3 Volume:296 Page:554-561
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Park Sungeun¹^ORCID,Joo Ijin¹^ORCID,Lee Dong Ho¹^ORCID,Bae Jae Seok¹^ORCID,Yoo Jeongin¹^ORCID,Kim Se Woo¹^ORCID,Lee Jeong Min¹^ORCID

Affiliation:

1. From the Department of Radiology (S.P., I.J., D.H.L., J.S.B., J.Y., S.W.K., J.M.L.) and Institute of Radiation Medicine, Seoul National University Medical Research Center (J.M.L.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea; and Department of Radiology, Seoul National University College of Medicine, Seoul, Korea (S.P., I.J., D.H.L., J.S.B., J.Y., S.W.K., J.M.L.).

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2020192797

Reference17 articles.

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5. Modified RECIST (mRECIST) Assessment for Hepatocellular Carcinoma

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