title: Evaluating the Significance of Viscoelasticity in Diagnosing Early-Stage Liver Fibrosis with Transient Elastography.
abstract: Transient elastography quantifies the propagation of a mechanically generated shear wave within a soft tissue, which can be used to characterize the elasticity and viscosity parameters of the tissue. The aim of our study was to combine numerical simulation and clinical assessment to define a viscoelastic index of liver tissue to improve the quality of early diagnosis of liver fibrosis. This is clinically relevant, as early fibrosis is reversible. We developed an idealized two-dimensional axisymmetric finite element model of the liver to evaluate the effects of different viscoelastic values on the propagation characteristics of the shear wave. The diagnostic value of the identified viscoelastic index was verified against the clinical data of 99 patients who had undergone biopsy and routine blood tests for staging of liver disease resulting from chronic hepatitis B infection. Liver stiffness measurement (LSM) and the shear wave attenuation fitting coefficient (AFC) were calculated from the ultrasound data obtained by performing transient elastography. Receiver operating curve analysis was used to evaluate the reliability and diagnostic accuracy of LSM and AFC. Compared to LSM, the AFC provided a higher diagnostic accuracy to differentiate early stages of liver fibrosis, namely F1 and F2 stages, with an overall specificity of 81.48%, sensitivity of 83.33% and diagnostic accuracy of 81.82%. AFC was influenced by the level of LSM, ALT. However, there are no correlation between AFC and Age, BMI, TBIL or DBIL. Quantification of the viscoelasticity of liver tissue provides reliable measurement to identify and differentiate early stages of liver fibrosis.
authors.affiliation: Beijing Ditan Hospital, Capital Medical University, Beijing, China.
authors.forename: Jingxin
authors.initials: J
authors.lastname: Zhao
authors.affiliation: Hisky Medical Technology Co., Ltd, Beijing, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Zhai
authors.affiliation: Beijing Ditan Hospital, Capital Medical University, Beijing, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Cheng
authors.affiliation: Department of Biomedical Engineering, Tsinghua University, Beijing, China.
authors.forename: Qiong
authors.initials: Q
authors.lastname: He
authors.affiliation: Department of Biomedical Engineering, Tsinghua University, Beijing, China.
authors.forename: Jianwen
authors.initials: J
authors.lastname: Luo
authors.affiliation: Beijing Ditan Hospital, Capital Medical University, Beijing, China.
authors.forename: Xueping
authors.initials: X
authors.lastname: Yang
authors.affiliation: Hisky Medical Technology Co., Ltd, Beijing, China.
authors.forename: Jinhua
authors.initials: J
authors.lastname: Shao
authors.affiliation: Beijing Ditan Hospital, Capital Medical University, Beijing, China.
authors.forename: Huichun
authors.initials: H
authors.lastname: Xing
mesh_terms: D000328:Adult; D001706:Biopsy; D042241:Early Diagnosis; D004548:Elasticity; D054459:Elasticity Imaging Techniques / Q000379:methods*; D005260:Female; D006801:Humans; D008103:Liver Cirrhosis / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000473:pathology; D008297:Male; D008875:Middle Aged; D012372:ROC Curve; D012680:Sensitivity and Specificity; D014783:Viscosity