title: Mouse liver dispersion for the diagnosis of early-stage Fatty liver disease: a 70-sample study.
abstract: The accumulation of fat droplets within the liver is an important marker of liver disease. This study assesses gradations of steatosis in mouse livers using crawling waves, which are interfering patterns of shear waves introduced into the liver by external sources. The crawling waves are detected by Doppler ultrasound imaging techniques, and these are analyzed to estimate the shear wave speed as a function of frequency between 200 and 360 Hz. In a study of 70 mice with progressive increases in steatosis from 0% to >60%, increases in steatosis are found to increase the dispersion, or frequency dependence, of shear wave speed. This finding confirms an earlier, smaller study and points to the potential of a scoring system for steatosis based on shear wave dispersion.
authors.affiliation: Department of Surgery, University of Rochester Medical Center, Rochester, New York, USA.
authors.forename: Christopher T
authors.initials: CT
authors.lastname: Barry
authors.affiliation: Department of Electrical & Computer Engineering, University of Rochester, Rochester, New York, USA.
authors.forename: Zaegyoo
authors.initials: Z
authors.lastname: Hah
authors.affiliation: Department of Electrical & Computer Engineering, University of Rochester, Rochester, New York, USA.
authors.forename: Alexander
authors.initials: A
authors.lastname: Partin
authors.affiliation: Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, New York, USA.
authors.forename: Robert A
authors.initials: RA
authors.lastname: Mooney
authors.affiliation: Department of Surgery, University of Rochester Medical Center, Rochester, New York, USA.
authors.forename: Kuang-Hsiang
authors.initials: KH
authors.lastname: Chuang
authors.affiliation: Department of Public Health Services, University of Rochester Medical Center, Rochester, New York, USA.
authors.forename: Alicia
authors.initials: A
authors.lastname: Augustine
authors.affiliation: Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA.
authors.forename: Anthony
authors.initials: A
authors.lastname: Almudevar
authors.affiliation: Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, New York, USA.
authors.forename: Wenqing
authors.initials: W
authors.lastname: Cao
authors.affiliation: Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA; Department of Radiology, University of Rochester Medical Center, Rochester, New York, USA.
authors.forename: Deborah J
authors.initials: DJ
authors.lastname: Rubens
authors.affiliation: Department of Electrical & Computer Engineering, University of Rochester, Rochester, New York, USA. Electronic address: kevin.parker@rochester.edu.
authors.forename: Kevin J
authors.initials: KJ
authors.lastname: Parker
mesh_terms: D000818:Animals; D003198:Computer Simulation; D042241:Early Diagnosis; D055119:Elastic Modulus; D054459:Elasticity Imaging Techniques / Q000379:methods*; D005234:Fatty Liver / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D051379:Mice; D008810:Mice, Inbred C57BL; D008954:Models, Biological; D033081:Shear Strength; D013314:Stress, Mechanical; D014783:Viscosity
keywords: Crawling waves; Dispersion; Fatty liver disease; Medical ultrasound imaging; Shear wave elasticity imaging; Steatosis; Viscoelastic tissue models