Ultrasound Sample Entropy Imaging: A New Approach for Evaluating Hepatic Steatosis and Fibrosis.
IEEE J Transl Eng Health Med
; 9: 1800612, 2021.
Article
em En
| MEDLINE
| ID: mdl-34786215
ABSTRACT
Objective:
Hepatic steatosis causes nonalcoholic fatty liver disease and may progress to fibrosis. Ultrasound is the first-line approach to examining hepatic steatosis. Fatty droplets in the liver parenchyma alter ultrasound radiofrequency (RF) signal statistical properties. This study proposes using sample entropy, a measure of irregularity in time-series data determined by the dimension [Formula see text] and tolerance [Formula see text], for ultrasound parametric imaging of hepatic steatosis and fibrosis.Methods:
Liver donors and patients were enrolled, and their hepatic fat fraction (HFF) ([Formula see text]), steatosis grade ([Formula see text]), and fibrosis score ([Formula see text]) were measured to verify the results of sample entropy imaging using sliding-window processing of ultrasound RF data.Results:
The sample entropy calculated using [Formula see text] 4 and [Formula see text] was highly correlated with the HFF when a small window with a side length of one pulse was used. The areas under the receiver operating characteristic curve for detecting hepatic steatosis that was [Formula see text]mild, [Formula see text]moderate, and [Formula see text]severe were 0.86, 0.90, and 0.88, respectively, and the area was 0.87 for detecting liver fibrosis in individuals with significant steatosis. Discussion/Conclusions:
Ultrasound sample entropy imaging enables the identification of time-series patterns in RF signals received from the liver. The algorithmic scheme proposed in this study is compatible with general ultrasound pulse-echo systems, allowing clinical fibrosis risk evaluations of individuals with developing hepatic steatosis.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Hepatopatia Gordurosa não Alcoólica
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article