Validation of the FibroScan-aspartate aminotransferase score by vibration-controlled transient and B-mode ultrasound elastography.
Hepatol Res
; 51(6): 652-661, 2021 Jun.
Article
en En
| MEDLINE
| ID: mdl-33877727
AIM: The FibroScan-aspartate aminotransferase (FAST) score comprises an easy and feasible method for identifying advanced non-alcoholic steatohepatitis. Recently, shear-wave elastography and attenuation coefficient measurement on B-mode ultrasound (US) have become widely utilized. We investigated the diagnostic accuracy of the FAST score as calculated using US-elastography compared with that using vibration-controlled transient elastography (VCTE). METHODS: Patients with chronic liver disease who underwent VCTE, point-shear-wave elastography with attenuation coefficient measurement, and liver biopsy on the same day between January 2015 and September 2020 were retrospectively reviewed. RESULTS: Of 189 patients, 94 underwent VCTE using both M and XL probes. The C-statistics were similar for VCTE (0.846) and US-elastography (0.814; p = 0.251), and for M (0.857) and XL probes (0.833; p = 0.412). Scatter and Bland-Altman plots showed good reproducibility for the FAST score. For VCTE, a cut-off of ≤0.35 had a sensitivity of 92.3%, negative predictive value of 85.5%, and negative likelihood ratio of 0.14, and a cut-off of ≥0.67 had a specificity of 90.6%, positive predictive value of 88.1%, and positive likelihood ratio of 6.03, for ruling out and in advanced non-alcoholic steatohepatitis, respectively. For US-elastography, a cut-off of ≤0.35 had a sensitivity of 90.4%, negative predictive value of 83.3%, and negative likelihood ratio of 0.16, and a cutoff of ≥0.67 had a specificity of 91.8%, positive predictive value of 85.1%, and positive likelihood ratio of 4.67, for ruling out and in advanced non-alcoholic steatohepatitis, respectively. CONCLUSIONS: The FAST score is highly reproducible, even when different echo equipment or probes are used.
Texto completo:
1
Banco de datos:
MEDLINE
Tipo de estudio:
Prognostic_studies
Idioma:
En
Año:
2021
Tipo del documento:
Article