1113: The Relationship Between Tumor Perfusion Parameters on Contrast-Enhanced Ultrasonography and Differentiation of Hepatocellular Carcinomas

Abstract

ObjectiveTo investigate the relationship between tumor perfusion parameters on contrast-enhanced ultrasonography (CEUS) and pathological differentiation of hepatocellular carcinomas (HCC).MethodsSeventy-six patients with 76 tumors of HCCs confirmed pathologically underwent CEUS one week preoperatively. The patients were 59 males and 17 females with an average age of 50.1±12.4 yrs (19∼79 yrs). The tumor size was 6.4±3.7 cm (1.5∼10.0 cm) in diameter. The contrast agent SonoVue (Bracco, Milan, Italy) was used in CEUS and the presets were fixed in all studies. A quantitative software with GAMMA fitting technique was used to analyze the dynamic images offline to get time intensity curve in the tumor and liver parenchyma. The tumor perfusion parameters such as increased signal intensity (ISI), decent curvature (DC), area under curve (AUC), and blood flow coefficient (BF) were calculated from time intensity curve automatically. The pathological specimen was hematoxylin and eosin stained and tumor differentiation was graded by the Edmondson grading system. The correlation between tumor perfusion parameters on CEUS and tumor differentiation was analyzed statistically.ResultsThe perfusion parameters of ISI, DC, AUC and BF in tumors relative to liver parenchyma were significantly different among different differentiation grades of HCC. As the differentiation grade increased in HCCs, the value of ISI, AUC and BF increased, while the value of DC decreased in time intensity curve (p<0.05).ConclusionThe quantitative analysis with CEUS gives different tumor perfusion parameters in different differentiation grades of HCC, which provides a noninvasive imaging method to assess the biological behavior of HCCs. ObjectiveTo investigate the relationship between tumor perfusion parameters on contrast-enhanced ultrasonography (CEUS) and pathological differentiation of hepatocellular carcinomas (HCC). To investigate the relationship between tumor perfusion parameters on contrast-enhanced ultrasonography (CEUS) and pathological differentiation of hepatocellular carcinomas (HCC). MethodsSeventy-six patients with 76 tumors of HCCs confirmed pathologically underwent CEUS one week preoperatively. The patients were 59 males and 17 females with an average age of 50.1±12.4 yrs (19∼79 yrs). The tumor size was 6.4±3.7 cm (1.5∼10.0 cm) in diameter. The contrast agent SonoVue (Bracco, Milan, Italy) was used in CEUS and the presets were fixed in all studies. A quantitative software with GAMMA fitting technique was used to analyze the dynamic images offline to get time intensity curve in the tumor and liver parenchyma. The tumor perfusion parameters such as increased signal intensity (ISI), decent curvature (DC), area under curve (AUC), and blood flow coefficient (BF) were calculated from time intensity curve automatically. The pathological specimen was hematoxylin and eosin stained and tumor differentiation was graded by the Edmondson grading system. The correlation between tumor perfusion parameters on CEUS and tumor differentiation was analyzed statistically. Seventy-six patients with 76 tumors of HCCs confirmed pathologically underwent CEUS one week preoperatively. The patients were 59 males and 17 females with an average age of 50.1±12.4 yrs (19∼79 yrs). The tumor size was 6.4±3.7 cm (1.5∼10.0 cm) in diameter. The contrast agent SonoVue (Bracco, Milan, Italy) was used in CEUS and the presets were fixed in all studies. A quantitative software with GAMMA fitting technique was used to analyze the dynamic images offline to get time intensity curve in the tumor and liver parenchyma. The tumor perfusion parameters such as increased signal intensity (ISI), decent curvature (DC), area under curve (AUC), and blood flow coefficient (BF) were calculated from time intensity curve automatically. The pathological specimen was hematoxylin and eosin stained and tumor differentiation was graded by the Edmondson grading system. The correlation between tumor perfusion parameters on CEUS and tumor differentiation was analyzed statistically. ResultsThe perfusion parameters of ISI, DC, AUC and BF in tumors relative to liver parenchyma were significantly different among different differentiation grades of HCC. As the differentiation grade increased in HCCs, the value of ISI, AUC and BF increased, while the value of DC decreased in time intensity curve (p<0.05). The perfusion parameters of ISI, DC, AUC and BF in tumors relative to liver parenchyma were significantly different among different differentiation grades of HCC. As the differentiation grade increased in HCCs, the value of ISI, AUC and BF increased, while the value of DC decreased in time intensity curve (p<0.05). ConclusionThe quantitative analysis with CEUS gives different tumor perfusion parameters in different differentiation grades of HCC, which provides a noninvasive imaging method to assess the biological behavior of HCCs. The quantitative analysis with CEUS gives different tumor perfusion parameters in different differentiation grades of HCC, which provides a noninvasive imaging method to assess the biological behavior of HCCs.