2012British Journal of RadiologyOpen access

Contrast-enhanced ultrasonography of hepatocellular carcinoma: correlation between quantitative parameters and histological grading

Xiao‐Qing Pei, Longzhong Liu, M. Liu, Wei Zheng, Feng Han, A H Li, Mu-Yan Cai

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Abstract

OBJECTIVE: The quantitative parameters in the contrast-enhanced ultrasonography time-intensity curve of hepatocellular carcinoma (HCC) were studied to explore their possible implication for histological grading of HCC. METHODS: A total of 130 HCC patients (115 males and 15 females; age: 48.13±11.00 years) were studied using contrast-enhanced ultrasonography time-intensity curve and histological pathology. The quantification software Sonoliver® (TomTec Imaging Systems, Unterschleissheim, Germany) was applied to derive time-intensity curves of regions of interest in the interior of HCCs and in reference. Quantitative parameters of 115 patients were successfully obtained, including maximum of intensity (IMAX), rise time (RT), time to peak (TTP), rise slope (RS) and washout time (WT). Histological grading of HCC was performed using haematoxylin-eosin staining, and monoclonal antibodies specific for smooth muscle actin were used to observe unpaired arteries (UAs). RESULTS: There were significant differences among WTs in the three differentiated HCC groups (p<0.05). However, there were no significant differences among RT, TTP, RS and IMAX in the differentiated HCC groups. Moreover, the number of UAs in the differentiated HCC groups showed no statistical significance. CONCLUSION: WT plays an important role in predicting well, moderately and poorly differentiated HCC.

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OBJECTIVE: The quantitative parameters in the contrast-enhanced ultrasonography time-intensity curve of hepatocellular carcinoma (HCC) were studied to explore their possible implication for histological grading of HCC. METHODS: A total of 130 HCC patients (115 males and 15 females; age: 48.13±11.00 years) were studied using contrast-enhanced ultrasonography time-intensity curve and histological pathology. The quantification software Sonoliver® (TomTec Imaging Systems, Unterschleissheim, Germany) was applied to derive time-intensity curves of regions of interest in the interior of HCCs and in reference. Quantitative parameters of 115 patients were successfully obtained, including maximum of intensity (IMAX), rise time (RT), time to peak (TTP), rise slope (RS) and washout time (WT). Histological grading of HCC was performed using haematoxylin-eosin staining, and monoclonal antibodies specific for smooth muscle actin were used to observe unpaired arteries (UAs). RESULTS: There were significant differences among WTs in the three differentiated HCC groups (p<0.05). However, there were no significant differences among RT, TTP, RS and IMAX in the differentiated HCC groups. Moreover, the number of UAs in the differentiated HCC groups showed no statistical significance. CONCLUSION: WT plays an important role in predicting well, moderately and poorly differentiated HCC.

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Available abstract

OBJECTIVE: The quantitative parameters in the contrast-enhanced ultrasonography time-intensity curve of hepatocellular carcinoma (HCC) were studied to explore their possible implication for histological grading of HCC. METHODS: A total of 130 HCC patients (115 males and 15 females; age: 48.13±11.00 years) were studied using contrast-enhanced ultrasonography time-intensity curve and histological pathology. The quantification software Sonoliver® (TomTec Imaging Systems, Unterschleissheim, Germany) was applied to derive time-intensity curves of regions of interest in the interior of HCCs and in reference. Quantitative parameters of 115 patients were successfully obtained, including maximum of intensity (IMAX), rise time (RT), time to peak (TTP), rise slope (RS) and washout time (WT). Histological grading of HCC was performed using haematoxylin-eosin staining, and monoclonal antibodies specific for smooth muscle actin were used to observe unpaired arteries (UAs). RESULTS: There were significant differences among WTs in the three differentiated HCC groups (p<0.05). However, there were no significant differences among RT, TTP, RS and IMAX in the differentiated HCC groups. Moreover, the number of UAs in the differentiated HCC groups showed no statistical significance. CONCLUSION: WT plays an important role in predicting well, moderately and poorly differentiated HCC.

Key concepts: Hepatocellular carcinoma, Grading (engineering), Medicine, Pathology, Staining, Ultrasonography, Haematoxylin, Immunohistochemistry

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