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Shan R, Yin H, Yang W, et al. Influencing factors of transient elastography in detecting liver stiffness. Exp Ther Med. 2016;12(4):2302-2306doi: 10.3892/etm.2016.3617.
Shan, R., Yin, H., Yang, W., Li, J., Zhang, M., Zhao, M., Shao, J., & Wang, A. (2016). Influencing factors of transient elastography in detecting liver stiffness. Experimental and therapeutic medicine, 12(4), 2302-2306. https://doi.org/10.3892/etm.2016.3617
Shan, Rong, et al. "Influencing factors of transient elastography in detecting liver stiffness." Experimental and therapeutic medicine vol. 12,4 (2016): 2302-2306. doi: https://doi.org/10.3892/etm.2016.3617
Shan R, Yin H, Yang W, Li J, Zhang M, Zhao M, Shao J, Wang A. Influencing factors of transient elastography in detecting liver stiffness. Exp Ther Med. 2016 Oct;12(4):2302-2306. doi: 10.3892/etm.2016.3617. Epub 2016 Aug 24. PMID: 27698728; PMCID: PMC5038607.
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Exp Ther Med. 2016 Oct;12(4):2302-2306. doi: 10.3892/etm.2016.3617. Epub 2016 Aug 24.

Influencing factors of transient elastography in detecting liver stiffness.

Experimental and therapeutic medicine

Rong Shan, Hong Yin, Wenjuan Yang, Jianzhi Li, Meifang Zhang, Min Zhao, Jiang Shao, Aiguang Wang

Affiliations

  1. Department of Ultrasound, Jinan Infectious Disease Hospital, Jinan, Shandong 250021, P.R. China; Department of Ultrasound, Shandong University, Jinan, Shandong 250014, P.R. China.
  2. Department of Ultrasound, Jinan Maternity and Child Care Hospital, Jinan, Shandong 250000, P.R. China.
  3. Department of Emergency, Jinan Center Hospital, Jinan, Shandong 250001, P.R. China.
  4. Department of Ultrasound, Jinan Infectious Disease Hospital, Jinan, Shandong 250021, P.R. China.
  5. Department of Oncology, Qianfoshan Hospital Affiliated to Shandong University, Jinan, Shandong 250014, P.R. China.

PMID: 27698728 PMCID: PMC5038607 DOI: 10.3892/etm.2016.3617

Abstract

Liver stiffness, which correlates well with liver fibrosis stage, can be measured noninvasively by transient elastography, also known as Fibroscan. The present study aimed to determine the independent factors influencing Fibroscan detection by multiple regression analysis. A total of 181 patients who required liver biopsy were enrolled. Liver stiffness measurement (LSM) was detected by Fibroscan on the day of liver biopsy, while clinical information and routine biochemical examination results were also collected. Correlation was analyzed by Spearman's correlation, and multiple regression analysis was performed to analyze the independent influencing factors. The results demonstrated that platelet (PLT) levels, serum albumin (ALB), prothrombin activity (PTA) and body mass index (BMI) were independent predictors of liver stiffness. The contribution of these four predictors to the regression equation was in the following descending order: PLT (negative correlation) > ALB (negative correlation) > PTA (negative correlation) > BMI (positive correlation). In conclusion, the parameters of PLT, ALB, PTA and BMI are independent predicting factors affecting Fibroscan detection. Therefore, the diagnosis and evaluation of liver fibrosis should comprehensively consider the results of Fibroscan, and clinical and laboratory examinations.

Keywords: Fibroscan; independent predictor; liver stiffness; multiple regression analysis

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