Evidence supporting LI-RADS major features for CT- and MR imaging-based diagnosis of hepatocellular carcinoma: A systematic review Journal Article
| Authors: | Tang, A.; Bashir, M. R.; Corwin, M. T.; Cruite, I.; Dietrich, C. F.; Do, R. K. G.; Ehman, E. C.; Fowler, K. J.; Hussain, H. K.; Jha, R. C.; Karam, A. R.; Mamidipalli, A.; Marks, R. M.; Mitchell, D. G.; Morgan, T. A.; Ohliger, M. A.; Shah, A.; Vu, K. N.; Sirlin, C. B.; for the LI-RADS Evidence Working Group |
| Article Title: | Evidence supporting LI-RADS major features for CT- and MR imaging-based diagnosis of hepatocellular carcinoma: A systematic review |
| Abstract: | The Liver Imaging Reporting and Data System (LI-RADS) standardizes the interpretation, reporting, and data collection for imaging examinations in patients at risk for hepatocellular carcinoma (HCC). It assigns category codes reflecting relative probability of HCC to imaging-detected liver observations based on major and ancillary imaging features. LI-RADS also includes imaging features suggesting malignancy other than HCC. Supported and endorsed by the American College of Radiology (ACR), the system has been developed by a committee of radiologists, hepatologists, pathologists, surgeons, lexicon experts, and ACR staff, with input from the American Association for the Study of Liver Diseases and the Organ Procurement Transplantation Network/United Network for Organ Sharing. Development of LI-RADS has been based on literature review, expert opinion, rounds of testing and iteration, and feedback from users. This article summarizes and assesses the quality of evidence supporting each LI-RADS major feature for diagnosis of HCC, as well as of the LIRADS imaging features suggesting malignancy other than HCC. Based on the evidence, recommendations are provided for or against their continued inclusion in LI-RADS. |
| Keywords: | middle aged; histopathology; review; area under the curve; liver cell carcinoma; carcinoma, hepatocellular; liver neoplasms; cancer patient; nuclear magnetic resonance imaging; magnetic resonance imaging; diagnostic accuracy; sensitivity and specificity; quality control; computer assisted tomography; image interpretation, computer-assisted; tomography, x-ray computed; diagnostic imaging; high risk patient; standardization; liver; computer assisted diagnosis; systematic review; probability; contrast enhancement; liver tumor; tumor growth; factual database; databases, factual; non invasive procedure; predictive value; standards; diagnostic test accuracy study; artery blood flow; liver carcinogenesis; liver nodule; cancer prognosis; humans; human; male; priority journal; x-ray computed tomography |
| Journal Title: | Radiology |
| Volume: | 286 |
| Issue: | 1 |
| ISSN: | 0033-8419 |
| Publisher: | Radiological Society of North America, Inc. |
| Date Published: | 2018-01-01 |
| Start Page: | 29 |
| End Page: | 48 |
| Language: | English |
| DOI: | 10.1148/radiol.2017170554 |
| PUBMED: | 29166245 |
| PROVIDER: | scopus |
| PMCID: | PMC6677284 |
| DOI/URL: | |
| Notes: | Review -- Export Date: 1 February 2018 -- Source: Scopus |
