Advances in liver US, CT, and MRI: moving toward the future

European Radiology Experimental

An Tang¹  Federica Vernuccio²  Giuseppe Brancatelli²  Roberto Cannella²  Massimo Galia²  Tommaso Vincenzo Bartolotta² 

[1] Department of Radiology, Centre Hospitalier de l’Université de Montréal (CHUM);Section of Radiology— Department of Biomedicine, Neurosciences and Advanced Diagnostics (BiND), University Hospital “Paolo Giaccone”;

关键词: Biomarkers;    Non-alcoholic fatty liver disease;    Ultrasonography;    Tomography;    X-ray computed;    Magnetic resonance imaging;   

DOI  :  10.1186/s41747-021-00250-0

来源: DOAJ

【 摘 要 】

Abstract Over the past two decades, the epidemiology of chronic liver disease has changed with an increase in the prevalence of nonalcoholic fatty liver disease in parallel to the advent of curative treatments for hepatitis C. Recent developments provided new tools for diagnosis and monitoring of liver diseases based on ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI), as applied for assessing steatosis, fibrosis, and focal lesions. This narrative review aims to discuss the emerging approaches for qualitative and quantitative liver imaging, focusing on those expected to become adopted in clinical practice in the next 5 to 10 years. While radiomics is an emerging tool for many of these applications, dedicated techniques have been investigated for US (controlled attenuation parameter, backscatter coefficient, elastography methods such as point shear wave elastography [pSWE] and transient elastography [TE], novel Doppler techniques, and three-dimensional contrast-enhanced ultrasound [3D-CEUS]), CT (dual-energy, spectral photon counting, extracellular volume fraction, perfusion, and surface nodularity), and MRI (proton density fat fraction [PDFF], elastography [MRE], contrast enhancement index, relative enhancement, T1 mapping on the hepatobiliary phase, perfusion). Concurrently, the advent of abbreviated MRI protocols will help fulfill an increasing number of examination requests in an era of healthcare resource constraints.

【 授权许可】

Unknown