A Prospective Blinded Study of Endoscopic Ultrasound Elastography in Liver Disease: Towards a Virtual Biopsy.

Allison R Schulman, Ming V Lin, Anna Rutherford, Walter W Chan, Marvin Ryou
Author Information
  1. Allison R Schulman: Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women's Hospital, Boston, MA, USA.
  2. Ming V Lin: Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women's Hospital, Boston, MA, USA.
  3. Anna Rutherford: Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women's Hospital, Boston, MA, USA.
  4. Walter W Chan: Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women's Hospital, Boston, MA, USA.
  5. Marvin Ryou: Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women's Hospital, Boston, MA, USA. ORCID

Abstract

BACKGROUND/AIMS: Liver biopsy has traditionally been used for determining the degree of fibrosis, however there are several limitations. Endoscopic ultrasound (EUS) real-time elastography (RTE) is a novel technology that uses image enhancement to display differences in tissue compressibility. We sought to assess whether liver fibrosis index (LFI) can distinguish normal, fatty, and cirrhotic liver tissue.
METHODS: A total of 50 patients undergoing EUS were prospectively enrolled. RTE of the liver was performed to synthesize the LFI in each patient. Univariate and multivariable analyses were performed. Chi-square and -tests were performed for categorical and continuous variables, respectively. A -value of <0.05 was considered significant.
RESULTS: Abdominal imaging prior to endoscopic evaluation suggested normal tissue, fatty liver, and cirrhosis in 26, 16, and 8 patients, respectively. Patients with cirrhosis had significantly increased mean LFI compared to the fatty liver (3.2 vs. 1.7, <0.001) and normal (3.2 vs. 0.8, <0.001) groups. The fatty liver group showed significantly increased LFI compared to the normal group (3.8 vs. 1.4, <0.001). Multivariable regression analysis suggested that LFI was an independent predictor of group features (<0.001).
CONCLUSIONS: LFI computed from RTE images significantly correlates with abdominal imaging and can distinguish normal, fatty, and cirrhotic-appearing livers; therefore, LFI may play an important role in patients with chronic liver disease.

Keywords

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Word Cloud

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