BACKGROUND: Hepatocellular carcinoma (HCC) is the most common primary liver cancer in the world. Clinical and laboratory evaluation of a cirrhotic patient with a liver nodule may show alterations suggesting malignancy. There is a lack of questions related to diagnosis of HCC and evaluation of liver imaging reporting and data system (LI-RADS) could be a tool for early diagnosis of HCC. This aims to confirm an association between clinical and laboratory characteristics in cirrhotic patients with hepatic nodule after LI-RADS categorization. METHODS: A cross-sectional retrospective study was performed with 62 patients grouped according to LI-RADS algorithm. Differences between groups were confirmed using association tests and the Kappa test was employed to provide further confirmation. RESULTS: Associations were observed after univariate analysis with higher values of aspartate aminotransferase (AST) (P=0.008), alanine aminotransferase (ALT) (P=0.019), alkaline phosphatase (ALP) (P=0.0052), gamma glutamyl transferase (GGT) (P=0.0023), alpha-fetoprotein (AFP) (P=0.0001), nodule size (P=0.0001) and age (P=0.007) in LR 5 group compared to LR 3. Univariate analysis also revealed higher levels for the LR5 group of ALP (P=0.0228), AFP (P=0.022) and age (P=0.046) in relation to LR 1+2 group. AFP also had higher serum levels in the LR 4 group compared to LR 1+2 (P=0.004). After multivariate analysis, higher levels in LR5 group of nodule size (P=0.047) and ALP (P=0.027) were observed in relation to LR3, and were therefore considered predictors of HCC diagnosis. CONCLUSIONS: The study suggests that the combination of clinical-laboratory and radiological factors, such as heightened serum levels of ALP and hepatic nodule size, may support the screening of HCC in cirrhotic patients with hepatic nodules using the LI-RADS algorithm. 2021 Translational Gastroenterology and Hepatology. All rights reserved.
BACKGROUND: Hepatocellular carcinoma (HCC) is the most common primary liver cancer in the world. Clinical and laboratory evaluation of a cirrhotic patient with a liver nodule may show alterations suggesting malignancy. There is a lack of questions related to diagnosis of HCC and evaluation of liver imaging reporting and data system (LI-RADS) could be a tool for early diagnosis of HCC. This aims to confirm an association between clinical and laboratory characteristics in cirrhotic patients with hepatic nodule after LI-RADS categorization. METHODS: A cross-sectional retrospective study was performed with 62 patients grouped according to LI-RADS algorithm. Differences between groups were confirmed using association tests and the Kappa test was employed to provide further confirmation. RESULTS: Associations were observed after univariate analysis with higher values of aspartate aminotransferase (AST) (P=0.008), alanine aminotransferase (ALT) (P=0.019), alkaline phosphatase (ALP) (P=0.0052), gamma glutamyl transferase (GGT) (P=0.0023), alpha-fetoprotein (AFP) (P=0.0001), nodule size (P=0.0001) and age (P=0.007) in LR 5 group compared to LR 3. Univariate analysis also revealed higher levels for the LR5 group of ALP (P=0.0228), AFP (P=0.022) and age (P=0.046) in relation to LR 1+2 group. AFP also had higher serum levels in the LR 4 group compared to LR 1+2 (P=0.004). After multivariate analysis, higher levels in LR5 group of nodule size (P=0.047) and ALP (P=0.027) were observed in relation to LR3, and were therefore considered predictors of HCC diagnosis. CONCLUSIONS: The study suggests that the combination of clinical-laboratory and radiological factors, such as heightened serum levels of ALP and hepatic nodule size, may support the screening of HCC in cirrhotic patients with hepatic nodules using the LI-RADS algorithm. 2021 Translational Gastroenterology and Hepatology. All rights reserved.
Entities:
Keywords:
Hepatocellular carcinoma (HCC); liver cirrhosis; liver imaging reporting and data system (LI-RADS); liver nodule
Authors: Michael T Corwin; Ghaneh Fananapazir; Michael Jin; Ramit Lamba; Mustafa R Bashir Journal: AJR Am J Roentgenol Date: 2016-02 Impact factor: 3.959
Authors: Thomas W T Leung; Amanda M Y Tang; Benny Zee; W Y Lau; Paul B S Lai; K L Leung; Joseph T F Lau; Simon C H Yu; Philip J Johnson Journal: Cancer Date: 2002-03-15 Impact factor: 6.860