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Table 1.

Microvascular tree grading and scoring.

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Fig 1.

Measurements of microvascular flow (MV-flow) imaging for (a) Grade 0, (b) Grade 1, (c) Grade 2, (d) Grade 3, and (e) Grade 4.

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Fig 1 Expand

Table 2.

Patients’ characteristics.

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Table 2 Expand

Fig 2.

Interobserver agreement of microvascular flow (MV-flow) imaging for (a) scoring system and (b) percentage value.

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Fig 2 Expand

Table 3.

Correlation analysis between non-invasive values.

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Table 3 Expand

Table 4.

Diagnostic accuracy and optimal cutoff values of non-invasive value for the diagnosis of liver fibrosis.

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Table 4 Expand

Fig 3.

Receiver operating characteristic (ROC) curve of noninvasive tools for the diagnosis of (a) significant fibrosis (stage 2), (b) advanced fibrosis (stage 3), and (c) cirrhosis (stage 4).

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Fig 3 Expand

Table 5.

Comparison of diagnostic performance between non-invasive values.

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Table 5 Expand

Fig 4.

Accuracy of combination of microvascular scoring system with liver stiffness (LS) by 2D-SWE for predicting advanced fibrosis. (a) paired combination (b) sequential combination. CLD, Chronic liver disease; MV-flow, microvascular flow; 2D-SWE, 2-dimensional shear wave elastography.

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Fig 4 Expand