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Mendeley readers
| Title |
A Prospective Blinded Study of Endoscopic Ultrasound Elastography in Liver Disease: Towards a Virtual Biopsy
|
|---|---|
| Published in |
Clinical Endoscopy, March 2018
|
| DOI | 10.5946/ce.2017.095 |
| Pubmed ID | |
| Authors |
Allison R. Schulman, Ming V. Lin, Anna Rutherford, Walter W. Chan, Marvin Ryou |
| Abstract |
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. 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 t-tests were performed for categorical and continuous variables, respectively. A p-value of <0.05 was considered significant. 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, p<0.001) and normal (3.2 vs. 0.8, p<0.001) groups. The fatty liver group showed significantly increased LFI compared to the normal group (3.8 vs. 1.4, p<0.001). Multivariable regression analysis suggested that LFI was an independent predictor of group features (p<0.001). 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. |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 15% |
| Student > Doctoral Student | 3 | 15% |
| Student > Postgraduate | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Lecturer | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 45% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Engineering | 1 | 5% |
| Unknown | 9 | 45% |