LI-RADS Treatment Response Algorithm: Performance and Diagnostic Accuracy

Erin L. Shropshire,Mohammad Chaudhry,Chad M. Miller,Brian C. Allen,Erol Bozdogan,Diana M. Cardona,Lindsay Y. King,Gemini Janas,Richard K. G. Do,Charles Y. Kim,James Ronald,Mustafa R. Bashir

LI-RADS Treatment Response Algorithm: Performance and Diagnostic Accuracy

2019

Erin L. Shropshire
Mohammad Chaudhry
Chad M. Miller
Brian C. Allen
Erol Bozdogan
Diana M. Cardona
Lindsay Y. King
Gemini Janas
Richard K. G. Do
Charles Y. Kim
James Ronald
Mustafa R. Bashir

The Liver Imaging Reporting and Data System, or LI-RADS, 2017 Treatment Response algorithm has high predictive value for the histopathologic viability of hepatocellular carcinoma treated with bland arterial embolization when observations are assessed as showing Viable or Nonviable disease, with moderate interreader association.

Keywords:

Radiology
Arterial Embolization
Hepatocellular carcinoma
Algorithm
Medicine
diagnostic accuracy
treatment response
liver imaging
predictive value

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