Prediction of liver cirrhosis, using diagnostic imaging tools

Research output: Contribution to journalReview article

24 Citations (Scopus)

Abstract

Early diagnosis of liver cirrhosis is important. Ultrasoundguided liver biopsy is the gold standard for diagnosis of liver cirrhosis. However, its invasiveness and sampling bias limit the applicability of the method. Basic imaging for the diagnosis of liver cirrhosis has developed over the last few decades, enabling early detection of morphological changes of the liver by ultrasonography (US), computed tomography, and magnetic resonance imaging (MRI). They are also accurate diagnostic methods for advanced liver cirrhosis, for which early diagnosis is difficult. There are a number of ways to compensate for this difficulty, including texture analysis to more closely identify the homogeneity of hepatic parenchyma, elastography to measure the stiffness and elasticity of the liver, and perfusion studies to determine the blood flow volume, transit time, and velocity. Amongst these methods, elastography using US and MRI was found to be slightly easier, faster, and able to provide an accurate diagnosis. Early diagnosis of liver cirrhosis using MRI or US elastography is therefore a realistic alternative, but further research is still needed.

Original languageEnglish
Pages (from-to)2069-2079
Number of pages11
JournalWorld Journal of Hepatology
Volume7
Issue number17
DOIs
Publication statusPublished - 2015 Jan 1

Fingerprint

Diagnostic Imaging
Liver Cirrhosis
Elasticity Imaging Techniques
Early Diagnosis
Ultrasonography
Liver
Magnetic Resonance Imaging
Selection Bias
Elasticity
Blood Volume
Perfusion
Tomography
Biopsy
Research

Keywords

  • Acoustic radiation force impulse imaging
  • Computed tomography
  • Liver fibrosis
  • Magnetic resonance elastography
  • Magnetic resonance imaging
  • Sonoelastography
  • Ultrasonography

ASJC Scopus subject areas

  • Hepatology

Cite this

Prediction of liver cirrhosis, using diagnostic imaging tools. / Yeom, Suk Keu; Lee, Chang-Hee; Cha, Sang Hoon; Park, Cheol Min.

In: World Journal of Hepatology, Vol. 7, No. 17, 01.01.2015, p. 2069-2079.

Research output: Contribution to journalReview article

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