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Benign hepatic neoplasms: an update on cross-sectional imaging spectrum
Srinivasa R Prasad1, Dushyant V Sahani, Mari Mino-Kenudson
1Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA. prasads@uthscsa.edu
Journal of Computer Assisted Tomography
|February 11, 2009
Summary
Benign hepatic neoplasms are diverse tumors with varied biology. Imaging findings can help accurately characterize these liver tumors for optimal management.
Area of Science:
- Hepatology
- Oncology
- Radiology
Background:
- Benign hepatic neoplasms are a diverse group of tumors originating in the liver.
- Classification systems, such as the 2000 World Health Organization system, categorize these neoplasms based on cell of origin (epithelial, nonepithelial, miscellaneous).
- These tumors exhibit a wide range of histomorphologic features and variable tumor biology.
Purpose of the Study:
- To review the classification of benign hepatic neoplasms.
- To correlate histomorphologic changes with imaging findings.
- To highlight neoplasms with pathognomic imaging features for accurate characterization and management.
Main Methods:
- Review of current literature on benign hepatic neoplasms.
- Analysis of histomorphologic characteristics and classification systems.
- Correlation of imaging findings with histopathology.
Main Results:
- Benign hepatic neoplasms are classified into epithelial, nonepithelial, and miscellaneous categories.
- Imaging findings vary widely, reflecting underlying histomorphologic changes.
- Certain neoplasms present with characteristic imaging features allowing for definitive diagnosis.
Conclusions:
- Accurate classification of benign hepatic neoplasms is essential.
- Imaging plays a critical role in the characterization of these liver tumors.
- Recognition of pathognomic imaging findings facilitates optimal patient management.

