Distinguishing well-differentiated hepatocellular carcinoma (HCC) from benign hepatic lesions is challenging for pathologists in limited diagnostic material such as needle-core tissue biopsy and fine-needle aspiration (FNA) biopsy. The objective of this study is to test a hypothesis that the fortification of liver by reticulin along single cell plates should protect benign hepatic lesions from breakdown by the force of aspiration and smearing, whereas the decreased reticulin in well-differentiated HCC would result in finely granular FNA smear. The study involved FNA biopsies of 67 cases of well-differentiated HCC and 109 cases of benign hepatic lesions, including cirrhosis (22), liver cell adenoma (8), steatosis (7), focal nodular hyperplasia (6), liver with cholestasis (6), and unremarkable liver sampled from nodular hepatic lesions consistent with the regenerative nodules (60). A slide with the most sample from each case by gross inspection was mixed together. Two observers blinded to the diagnoses were asked to separate the slides into two groups based on smear characteristics by gross inspection. Fragments of rigid fine-needle cores was present in 109 out of 109 cases of benign hepatic lesions but absent in 61 out of 67 cases of well-differentiated HCC, which presented as finely granular smears. The difference is statistically significant. (Po0.001, df ¼ 1, v 2 ¼ 149.3). Using the physical characteristic of liver aspirates as the screening test for malignancy, the sensitivity is 91%, specificity is 100%, positive predictive value is 100%, negative predictive value is 94.8%, and efficiency is 96.6%. In conclusion, the smear characteristics of liver samples in FNA biopsy correlate to their reticulin status on histology. This physical characteristic can be used as the first clue to distinguish malignant and benign liver aspirates prior to microscopic examination.
Electronic Health Record (EHR) system enables clinical decision support. In this study, a set of 112 abdominal computed tomography imaging examination reports, consisting of 59 cases of hepatocellular carcinoma (HCC) or liver metastases (so-called HCC group for simplicity) and 53 cases with no abnormality detected (NAD group), were collected from four hospitals in Hong Kong. We extracted terms related to liver cancer from the reports and mapped them to ontological features using Systematized Nomenclature of Medicine (SNOMED) Clinical Terms (CT). The primary predictor panel was formed by these ontological features. Association levels between every two features in the HCC and NAD groups were quantified using Pearson's correlation coefficient. The HCC group reveals a distinct association pattern that signifies liver cancer and provides clinical decision support for suspected cases, motivating the inclusion of new features to form the augmented predictor panel. Logistic regression analysis with stepwise forward procedure was applied to the primary and augmented predictor sets, respectively. The obtained model with the new features attained 84.7% sensitivity and 88.4% overall accuracy in distinguishing HCC from NAD cases, which were significantly improved when compared with that without the new features.
The identification of Kupffer cells highlighted by positive immunostaining for vimentin on direct smears was found to play an important role in the diagnosis of primary and metastatic hepatocellular carcinoma by fine-needle aspiration biopsy. The Kupffer cell, identified by vimentin staining, is spider-or star-shaped with multiple elongated and slender cytoplasmic processes. Direct smears obtained by fine-needle aspiration biopsy from 14 cases of hepatocellular carcinoma and 15 cases of metastatic carcinoma were stained with vimentin. The cytologic diagnoses were verified by histologic and/or clinical follow-up. All 14 cases of hepatocellular carcinoma, including 9 primary and 5 metastatic, contained significant number of vimentin-positive spider cells within tumorAlthough it is relatively uncommon in North America and Western Europe, hepatocellular carcinoma (HCC) is one of the most common primary hepatic malignancies worldwide with especially high incidence in China, Japan, and Africa.1 The liver is also the most frequent site of metastases from other primaries. Computed tomography (CT) or ultrasound guided fine-needle aspiration (FNA) biopsy has proved to be of great value in distinguishing primary from secondary hepatic neoplasms. However, one of the most common difficulties in hepatic FNA is to make a specific diagnosis of HCC.
"7 To differentiate poorly differentiated HCC from metastatic adenocarcinoma is always a challenge for the cytopathologist. Various immunoperoxidase stains have been studied. Only polyclonal CEA showing a bile canalicular staining pattern has been found to be useful in the differential diagnosis of HCC, but the results are still not quite satisfactory regarding the poorly differentiated
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.