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Updated: Jan 25, 2026

Preparation and Using Phantom Lesions to Practice Fine Needle Aspiration Biopsies
Published on: September 29, 2009
For diagnosis of liver masses, fine-needle aspiration versus needle core biopsy: which is better?
Liye Suo1, Ruby Chang1, Vijayalakshmi Padmanabhan1
1Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas; Department of Pathology, Ben Taub General Hospital, Houston, Texas.
Introduction:
Both fine needle aspiration (FNA) and needle core biopsy (NCB) are widely accepted methods for obtaining diagnostic material. There is variability in how different institutions use these techniques in assessing liver masses. The aim of this study is to compare the diagnostic accuracy and tissue quality between FNA and NCB, and create a cost-effective algorithm for evaluating liver masses.
Materials And Methods:
A database search was performed to detect all liver FNA cases and their corresponding NCB between January 2014 and August 2016. A retrospective chart review was performed to gather pertinent clinicopathologic information.
Results:
Seventy-seven FNA and 68 corresponding NCB were reviewed from 74 patients. Diagnoses in the 74 patients included 36 hepatocellular carcinomas (HCC), 29 metastatic malignancies (MET), 5 poorly differentiated carcinomas (PDC), 2 cholangiocarcinomas (CHO), and 2 benign lesions (BEN). More immunohistochemical (IHC) studies (P < 0.05) were performed on NCB tissues than FNA tissues in HCC (mean, 2.1 versus 0.8), MET (2.5 versus 0.5), and PDC groups (11.2 versus 0.2). The false negative rate (FNR) of NCB was lower (P < 0.05) than that of FNA in the HCC group; and FNR of NCB was higher (P < 0.05) than that of FNA in the MET group.
Conclusions:
For HCC, NCB usually has better tissue quality and diagnostic accuracy than FNA; for metastatic lesions in the liver, FNA has better diagnostic accuracy than NCB, although NCB can provide more tissue for ancillary testing and has better diagnostic quality. Appropriate diagnostic method is important for improving diagnostic accuracy and saving medical resources.
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