2020
DOI: 10.1016/j.gastre.2019.11.006
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Non-invasive diagnosis of liver fibrosis: A review of current imaging modalities

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Cited by 2 publications
(3 citation statements)
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“…Liver biopsy remains the gold standard for both diagnosis and staging of fibrosis, but it is largely suboptimal due to its invasive nature and various associated complications. To overcome this, several non-invasive diagnostic methods based on serum biomarkers and imaging techniques have been developed [13]. Serum biomarkers exclude a lot of the concerns related to liver biopsy.…”
Section: Vmentioning
confidence: 99%
“…Liver biopsy remains the gold standard for both diagnosis and staging of fibrosis, but it is largely suboptimal due to its invasive nature and various associated complications. To overcome this, several non-invasive diagnostic methods based on serum biomarkers and imaging techniques have been developed [13]. Serum biomarkers exclude a lot of the concerns related to liver biopsy.…”
Section: Vmentioning
confidence: 99%
“…Regarding magnetic resonance (MR) imaging (MRI), several ongoing researches have put forth many noninvasive techniques for the diagnosis of liver fibrosis, including MR elastography (MRE), hepatobiliary contrast-enhanced MRI, multi-b-value diffusion-weighted imaging (DWI) with different models, and quantitative T1, T2, T1ρ, and T2* mapping. 1,2 Inflammation and fibrosis are strongly associated in the course of chronic liver disease, and can occur at any stage of liver fibrosis. Most of the early studies have focused on exploring new MR techniques for staging liver fibrosis.…”
mentioning
confidence: 99%
“…Finding a simple, noninvasive, and accurate method for diagnosing and staging liver fibrosis has become a hotspot of clinical research. Regarding magnetic resonance (MR) imaging (MRI), several ongoing researches have put forth many noninvasive techniques for the diagnosis of liver fibrosis, including MR elastography (MRE), hepatobiliary contrast‐enhanced MRI, multi‐b‐value diffusion‐weighted imaging (DWI) with different models, and quantitative T1, T2, T1ρ, and T2* mapping 1,2 …”
mentioning
confidence: 99%