AIM: To evaluate transient elastography(TE) as a noninvasive tool in staging liver fibrosis compared with liver biopsy and morphometry in children with different chronic liver diseases.METHODS: A total of 90 children [50 with chronic hepatitis C virus(HCV), 20 with autoimmune hepatitis(AIH) and 20 with Wilson disease] were included in the study and underwent liver stiffness measurement(LSM) using TE. Liver biopsies were evaluated for fibrosis, qualitatively, by Ishak score and quantitatively by fibrosis area fraction(FAF) using digital image analysis(morphometry). LSM was correlated with fibrosis and other studied variables using spearman correlation. A stepwise multiple regression analysis was alsoperformed to examine independent factors associated with LSM. Different cut-off values of LSM were calculated for predicting individual fibrosis stages using receiveroperating characteristic curve. Cut-off values with optimal clinical performance(optimal sensitivity and specificity simultaneously) were selected.RESULTS: The majority of HCV group had minimal activity(80%) and no/mild fibrosis(72%). On the other hand, the majority of AIH group had mild to moderate activity(70%) and moderate to severe fibrosis(95%) and all Wilson disease group had mild to moderate activity(100%) and moderate to severe fibrosis(100%). LSM correlated significantly with both FAF and Ishak scores and the correlation appeared better with the latter(r = 0.839 vs 0.879, P < 0.0001 for both). LSM discriminated individual stages of fibrosis with high performance. Sensitivity ranged from 81.4% to 100% and specificity ranged from 75.0% to 97.2%. When we compared LSM values for the same stage of fibrosis, they varied according to the different etiologies. Higher values were in AIH(16.15 ± 7.23 k Pa) compared to Wilson disease(8.30 ± 0.84 k Pa) and HCV groups(7.43 ± 1.73 k Pa). Multiple regression analysis revealed that Ishak fibrosis stage was the only independent variable associated with higher LSM(P < 0.0001).CONCLUSION: TE appears reliable in distinguishing different stages of liver fibrosis in children. However, its values vary according to the disease type. For that, a disease-specific estimation of cut-off values for fibrosis staging is worthy. AIM: To evaluate transient elastography (TE) as a noninvasive tool in staging liver fibrosis compared with liver biopsy and morphometry in children with different chronic liver diseases.METHODS: A total of 90 children [50 with chronic hepatitis C virus (HCV), 20 with autoimmune hepatitis (AIH) and 20 with Wilson disease were included in the study and underwent liver stiffness measurement (LSM) using TE. Liver biopsies were evaluated for fibrosis, qualitatively, by Ishak score and quantitatively by fibrosis area fraction (FAF) using A stepwise multiple regression analysis was alsoperformed to examine independent factors associated with LSM. Different cut-off values ​​of LSM were calculated for predicting individual fibrosis stages using receiveroperating characteristic curve. Cut-off values ​​with optimal clinical performance (optimal sensitivity and specificity simultane The majority of HCV group had minimal activity (80%) and no / mild fibrosis (72%). On the other hand, the majority of AIH group had mild to moderate activity LSM correlated significantly with both FAF and Ishak scores and the correlation was better with the latter (r = 0.839 vs 0.879, P <0.0001 for both). LSM discriminated individual stages of fibrosis with high performance. Sensitivity ranged from 81.4% to 100% and specificity ranged from 75.0% to 97.2%. When we compared LSM values ​​for the same stage of Higher values ​​were in AIH (16.15 ± 7.23 k Pa) compared to Wilson disease (8.30 ± 0.84 k Pa) and HCV groups (7.43 ± 1.73 k Pa). Multiple regression analysis revealed that Ishak fibrosis stage was the only independent variable associated with higher LSM ( P <0.0001) .CONCLUSION: TE appears reliable in distinguishing different stages of liver fibrosis in children. However, its values ​​vary according to the disease type. For that, a disease-specific estimation of cut-off values ​​for fibrosis staging is worthy.