Vibration-controlled transient elastography for noninvasive evaluation of liver steatosis.
NAFLD
VCTE
elastography
fatty liver disease
shear elastic modulus
shear viscosity
shear wave
steatosis
Journal
Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746
Informations de publication
Date de publication:
Mar 2022
Mar 2022
Historique:
revised:
06
01
2022
received:
03
05
2021
accepted:
07
01
2022
pubmed:
31
1
2022
medline:
11
3
2022
entrez:
30
1
2022
Statut:
ppublish
Résumé
Nonalcoholic fatty liver disease (NAFLD) refers to a large spectrum of liver disorders and is the most common cause of metabolic liver disease. The current gold standard for diagnosing NAFLD is liver biopsy, which can lead to severe complications. Among the noninvasive diagnostic options, we chose to use a FibroScan and developed an algorithm applying the Voigt rheological model to assess the viscoelastic properties of the liver and evaluate its performance for the diagnosis of steatosis. Twenty-two healthy volunteers and 20 patients with steatosis were included. For each subject, we used a modified FibroScan, whose data had been processed by our algorithm to separate the two viscoelastic components, stiffness μ, and viscosity η. The liver elasticity μFibroscan measured by the FibroScan was also recorded. Mann-Whitney tests and receiver operating characteristics (ROCs) curve analyses were performed to compare the parameters between the two groups, and Pearson's correlation coefficients were used to assess the correlations between the parameters. We found a good correlation between η and μFibroscan (r = 0.75), and poor correlations between μ and both η and μFibroscan (r = 0.33 and r = 0.03, respectively). We also showed that η and μFibroscan were higher in patients with steatosis compared to healthy volunteers, with area under the ROCs (AUROC) curve at 0.814 and 0.891, respectively. Conversely, μ was not different between the two groups (AUROC = 0.557). Our novel method successfully separated the two viscoelastic properties of the liver, of which the parameter η is a sensitive indicator for steatosis.
Sections du résumé
BACKGROUND
BACKGROUND
Nonalcoholic fatty liver disease (NAFLD) refers to a large spectrum of liver disorders and is the most common cause of metabolic liver disease. The current gold standard for diagnosing NAFLD is liver biopsy, which can lead to severe complications.
PURPOSE
OBJECTIVE
Among the noninvasive diagnostic options, we chose to use a FibroScan and developed an algorithm applying the Voigt rheological model to assess the viscoelastic properties of the liver and evaluate its performance for the diagnosis of steatosis.
METHODS
METHODS
Twenty-two healthy volunteers and 20 patients with steatosis were included. For each subject, we used a modified FibroScan, whose data had been processed by our algorithm to separate the two viscoelastic components, stiffness μ, and viscosity η. The liver elasticity μFibroscan measured by the FibroScan was also recorded. Mann-Whitney tests and receiver operating characteristics (ROCs) curve analyses were performed to compare the parameters between the two groups, and Pearson's correlation coefficients were used to assess the correlations between the parameters.
RESULTS
RESULTS
We found a good correlation between η and μFibroscan (r = 0.75), and poor correlations between μ and both η and μFibroscan (r = 0.33 and r = 0.03, respectively). We also showed that η and μFibroscan were higher in patients with steatosis compared to healthy volunteers, with area under the ROCs (AUROC) curve at 0.814 and 0.891, respectively. Conversely, μ was not different between the two groups (AUROC = 0.557).
CONCLUSIONS
CONCLUSIONS
Our novel method successfully separated the two viscoelastic properties of the liver, of which the parameter η is a sensitive indicator for steatosis.
Identifiants
pubmed: 35094409
doi: 10.1002/mp.15484
pmc: PMC9401907
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1507-1521Subventions
Organisme : CHRU de Tours
Organisme : Echosens, Paris
Organisme : Université de Tours
Informations de copyright
© 2022 The Authors. Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.
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