Feasibility of transient elastography versus real-time two-dimensional shear wave elastography in difficult-to-scan patients

Scand J Gastroenterol. 2016 Nov;51(11):1354-9. doi: 10.1080/00365521.2016.1193217. Epub 2016 Jun 16.

Abstract

Background and aims: Transient elastography (TE) is hampered in some patients by failures and unreliable results. We hypothesized that real time two-dimensional shear wave elastography (2D-SWE), the FibroScan XL probe, and repeated TE exams, could be used to obtain reliable liver stiffness measurements in patients with an invalid TE examination.

Methods: We reviewed 1975 patients with 5764 TE exams performed between 2007 and 2014, to identify failures and unreliable exams. Fifty-four patients with an invalid TE at their latest appointment entered a comparative feasibility study of TE vs. 2D-SWE.

Results: The initial TE exam was successful in 93% (1835/1975) of patients. Success rate increased from 89% to 96% when the XL probe became available (OR: 1.07, 95% CI 1.06-1.09). Likewise, re-examining those with a failed or unreliable TE led to a reliable TE in 96% of patients. Combining availability of the XL probe with TE re-examination resulted in a 99.5% success rate on a per-patient level. When comparing the feasibility of TE vs. 2D-SWE, 96% (52/54) of patients obtained a reliable TE, while 2D-SWE was reliable in 63% (34/54, p < 0.001). The odds of a successful 2D-SWE exam decreased with higher skin-capsule distance (OR = 0.77, 95% CI 0.67-0.98).

Conclusions: Transient elastography can be accomplished in nearly all patients by use of the FibroScan XL probe and repeated examinations. In difficult-to-scan patients, the feasibility of TE is superior to 2D-SWE.

Keywords: Aixplorer; applicability; failure rate; liver fibrosis; obesity; supersonic shear imaging.

Publication types

  • Comparative Study

MeSH terms

  • Aged
  • Elasticity Imaging Techniques / methods*
  • Feasibility Studies
  • Female
  • Humans
  • Liver / diagnostic imaging*
  • Liver Cirrhosis / diagnostic imaging*
  • Logistic Models
  • Male
  • Middle Aged
  • Retrospective Studies