Objectives: To establish the prediction model of liver fibrosis by combining ultrasound elastography and platelet count and evaluates its clinical value.
Methods: 146 patients with chronic liver diseases(CLD) admitted to our hospital from July 2020 to July 2022 were collected for liver biopsy pathological examination, and the results of ultrasound elastography (liver hardness value) and serological indicators were collected. Based on the results of Spearman correlation test and multiple linear regression model, the prediction model of liver fibrosis using ultrasound elastography combined with platelet count was constructed and verified.
Results: The AUC of transient elastography combined with platelet count model (FSP) in the diagnosis of S2, S3 and S4 phases of liver fibrosis was 0.665, 0.835 and 0.909, with specificity of 81.5%, 90.0% and 100%. The AUC of sound touch elastography combined with platelet count model (STEP) in diagnosing S2, S3 and S4 phases of liver fibrosis was 0.685, 0.810 and 0884, with specificity of 96.3%, 90.0% and 83.3%, which are higher than APRI, FIB-4, FORNS, AAR and other models.
Conclusion: Ultrasound elastography combined with platelet count model has good diagnostic efficacy for liver fibrosis.
Keywords: Liver fibrosis; Platelet count (PLT); Sound touch elastography (STE); Transient elastography (Fibroscan).