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Original Article

Visual morphometry and three non-invasive markers in the evaluation of liver fibrosis in chronic liver disease

, , , , &
Pages 107-115 | Received 24 Jul 2016, Accepted 31 Aug 2016, Published online: 23 Sep 2016

Figures & data

Table 1. Baseline characteristics of study population.

Figure 1. Box plots of the distributions of (A) pathologists estimate of fibrosis, (B) LSM, (C) ELF score and (D) MRI T1 relaxation time with fibrosis stage.

Figure 1. Box plots of the distributions of (A) pathologists estimate of fibrosis, (B) LSM, (C) ELF score and (D) MRI T1 relaxation time with fibrosis stage.

Table 2. Study parameters distribution by fibrosis stage.

Figure 2. Area under receiver operating curves (AUROC) of study variables for advanced fibrosis.

Figure 2. Area under receiver operating curves (AUROC) of study variables for advanced fibrosis.

Figure 3. Area under receiver operating curves (AUROC) of study variables for cirrhosis.

Figure 3. Area under receiver operating curves (AUROC) of study variables for cirrhosis.

Figure 4. Scatter plot of distribution of (A) LSM, (B) ELF score and (C) T1 relaxation time with pathologist’s estimate of fibrosis in F3–F4 group.

Figure 4. Scatter plot of distribution of (A) LSM, (B) ELF score and (C) T1 relaxation time with pathologist’s estimate of fibrosis in F3–F4 group.

Figure 5. Scatter plot of distribution of (A) LSM, (B) ELF score and (C) T1 relaxation time with pathologist’s estimate of fibrosis in F0–F2 group.

Figure 5. Scatter plot of distribution of (A) LSM, (B) ELF score and (C) T1 relaxation time with pathologist’s estimate of fibrosis in F0–F2 group.

Table 3. Correlation of study parameters with pathologist’s estimate of fibrosis.