Open Access
CC BY 4.0 · Journal of Gastrointestinal and Abdominal Radiology 2023; 06(03): 160-172
DOI: 10.1055/s-0043-1764310
Review Article

Pathological Basis of Imaging in Hepatocellular Carcinoma

1   Department of Radiology and Imaging Sciences, Tata Medical Center, Newtown, Rajarhat, Kolkata, West Bengal, India
,
1   Department of Radiology and Imaging Sciences, Tata Medical Center, Newtown, Rajarhat, Kolkata, West Bengal, India
,
Priya Ghosh
1   Department of Radiology and Imaging Sciences, Tata Medical Center, Newtown, Rajarhat, Kolkata, West Bengal, India
,
Anurima Patra
1   Department of Radiology and Imaging Sciences, Tata Medical Center, Newtown, Rajarhat, Kolkata, West Bengal, India
,
Sumit Mukhopadhyay
1   Department of Radiology and Imaging Sciences, Tata Medical Center, Newtown, Rajarhat, Kolkata, West Bengal, India
,
Aditi Chandra
1   Department of Radiology and Imaging Sciences, Tata Medical Center, Newtown, Rajarhat, Kolkata, West Bengal, India
,
1   Department of Radiology and Imaging Sciences, Tata Medical Center, Newtown, Rajarhat, Kolkata, West Bengal, India
,
Jeevitesh Khoda
1   Department of Radiology and Imaging Sciences, Tata Medical Center, Newtown, Rajarhat, Kolkata, West Bengal, India
,
1   Department of Radiology and Imaging Sciences, Tata Medical Center, Newtown, Rajarhat, Kolkata, West Bengal, India
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Abstract

Hepatocellular carcinoma (HCC) is the most prevalent form of liver cancer with major risk factors being chronic liver disease (CLD) including chronic liver inflammation, steatohepatitis and certain viral infections (Hepatitis B and C). Due to the poor prognosis, early detection is key for effective management. Imaging of HCC has developed over the years with specificity as high as 95%. The Liver Imaging Reporting and Data System (LI-RADS) provides a standardized reporting format that can be followed by radiologists and clinicians alike. This article focuses on the pathological basis of imaging observations described in the LI-RADS lexicon. A clear understanding of the pathological basis of imaging will help the radiologist to be more confident to resolve unequivocal observations apart from achieving a high degree of specificity in the diagnosis of HCC.



Publikationsverlauf

Artikel online veröffentlicht:
17. April 2023

© 2023. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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