HEPATOCELLULAR CARCINOMA IN THE CIRRHOTIC LIVER. IMMUNOHISTOCHEMICAL AND MORPHOMETRIC ANALYSIS. Objective: To explore how morphometry can minimize subjectivity in the assessment of liver nodules in cirrhosis using a novel classification tool. Study design: 8 hepatocellular carcinomas (HCC), 5 high-grade dysplastic nodules (HGDN), 8 large regenerative nodules (LRN), and 18 regenerative (cirrhotic) nodules (CN) obtained from cirrhotic explant livers, were analyzed using a Kontron-Zeiss KS400 image analyzer. We generated a morphometric model based on the analysis of volume fractions occupied by hepatocyte nuclei/cytoplasm, sinusoidal endothelium and lumen, neoplastic acini, fibrosis, centrilobular veins, portal arteries, veins and bile ducts, individual lesional arteries (smooth muscle actin), capillarized sinusoids (CD34), new vessels (CD31) and on surface fraction occupied by reticulin, and number in unit volume and size distribution of hepatocyte nuclei, and mean hepatocyte nucleus diameter and volume. Results: Volume fraction of capillarized sinusoids, new vessels and individual lesional arteries were more prominent in HCC and HGDN, when compared with LRN and CN, whereas surface fraction of reticulin was markedly decreased in HCC. The morphometric values of these three features were integrated into our classification tool to construct a hybrid system, which reclassified the nodules in the same categories. Conclusions: Our novel hybrid classification tool may minimize subjectivity in the histological assessment of nodular lesions in cirrhosis.
IL CARCINOMA EPATOCELLULARE NEL FEGATO CIRROTICO. ANALISI IMMUNOISTOCHIMICA E MORFOMETRICA
COSSA, MARA
2010
Abstract
HEPATOCELLULAR CARCINOMA IN THE CIRRHOTIC LIVER. IMMUNOHISTOCHEMICAL AND MORPHOMETRIC ANALYSIS. Objective: To explore how morphometry can minimize subjectivity in the assessment of liver nodules in cirrhosis using a novel classification tool. Study design: 8 hepatocellular carcinomas (HCC), 5 high-grade dysplastic nodules (HGDN), 8 large regenerative nodules (LRN), and 18 regenerative (cirrhotic) nodules (CN) obtained from cirrhotic explant livers, were analyzed using a Kontron-Zeiss KS400 image analyzer. We generated a morphometric model based on the analysis of volume fractions occupied by hepatocyte nuclei/cytoplasm, sinusoidal endothelium and lumen, neoplastic acini, fibrosis, centrilobular veins, portal arteries, veins and bile ducts, individual lesional arteries (smooth muscle actin), capillarized sinusoids (CD34), new vessels (CD31) and on surface fraction occupied by reticulin, and number in unit volume and size distribution of hepatocyte nuclei, and mean hepatocyte nucleus diameter and volume. Results: Volume fraction of capillarized sinusoids, new vessels and individual lesional arteries were more prominent in HCC and HGDN, when compared with LRN and CN, whereas surface fraction of reticulin was markedly decreased in HCC. The morphometric values of these three features were integrated into our classification tool to construct a hybrid system, which reclassified the nodules in the same categories. Conclusions: Our novel hybrid classification tool may minimize subjectivity in the histological assessment of nodular lesions in cirrhosis.File | Dimensione | Formato | |
---|---|---|---|
PhD_unimi_R07690.pdf
accesso solo da BNCF e BNCR
Dimensione
13.46 MB
Formato
Adobe PDF
|
13.46 MB | Adobe PDF |
I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/20.500.14242/85258
URN:NBN:IT:UNIMI-85258