Evaluation of Transient Elastography, Acoustic Radiation Force Impulse Imaging (ARFI), and Enhanced Liver Function (ELF) Score for Detection of Fibrosis in Morbidly Obese Patients

PLoS One. 2015 Nov 3;10(11):e0141649. doi: 10.1371/journal.pone.0141649. eCollection 2015.

Abstract

Background: Liver fibrosis induced by non-alcoholic fatty liver disease causes peri-interventional complications in morbidly obese patients. We determined the performance of transient elastography (TE), acoustic radiation force impulse (ARFI) imaging, and enhanced liver fibrosis (ELF) score for fibrosis detection in bariatric patients.

Patients and methods: 41 patients (median BMI 47 kg/m2) underwent 14-day low-energy diets to improve conditions prior to bariatric surgery (day 0). TE (M and XL probe), ARFI, and ELF score were performed on days -15 and -1 and compared with intraoperative liver biopsies (NAS staging).

Results: Valid TE and ARFI results at day -15 and -1 were obtained in 49%/88% and 51%/90% of cases, respectively. High skin-to-liver-capsule distances correlated with invalid TE measurements. Fibrosis of liver biopsies was staged as F1 and F3 in n = 40 and n = 1 individuals. However, variations (median/range at d-15/-1) of TE (4.6/2.6-75 and 6.7/2.9-21.3 kPa) and ARFI (2.1/0.7-3.7 and 2.0/0.7-3.8 m/s) were high and associated with overestimation of fibrosis. The ELF score correctly classified 87.5% of patients.

Conclusion: In bariatric patients, performance of TE and ARFI was poor and did not improve after weight loss. The ELF score correctly classified the majority of cases and should be further evaluated.

Publication types

  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Elasticity Imaging Techniques*
  • Female
  • Humans
  • Liver Cirrhosis* / diagnostic imaging
  • Liver Cirrhosis* / metabolism
  • Liver* / diagnostic imaging
  • Liver* / metabolism
  • Male
  • Middle Aged
  • Obesity, Morbid* / diagnostic imaging
  • Obesity, Morbid* / metabolism

Grants and funding

This work was supported by Federal Ministry of Education and Research (BMBF), Germany, FKZ: 01EO1001 (Project No. K7-40), and by the German Research Foundation (DFG) and the University of Leipzig within the program of Open Access Publishing. Siemens Healthcare Diagnostics GmbH provided technical and financial support for ELF score analysis. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.