Multiparametric ultrasound in liver diseases: an overview for the practising clinician.
Ivica GrgurevićIda Tjesic DrinkovicMassimo PinzaniPublished in: Postgraduate medical journal (2019)
Ultrasound (US) is usually the first and most commonly used tool in the diagnostic algorithm for liver disease. It is widely available, non-invasive and offers a real-time assessment of the liver in several anatomic planes, using different US modalities such as greyscale imaging, Doppler, elastography and contrast-enhanced US. This multiparametric ultrasound (MPUS) provides more information of the examined structures and allows for a faster and more accurate diagnosis, usually at the point of care, thus reducing the requirement for some invasive and more expensive methods. Current data on the MPUS in hepatology are summarised in this review, mostly focused on its use for non-invasive staging of liver fibrosis, detection and classification of portal hypertension and oesophageal varices, prognosis in chronic liver diseases and characterisation of focal liver lesions (FLLs). Based on the available data, we propose practical algorithms for clinical use of MPUS in chronic liver disease and FLL.
Keyphrases
- magnetic resonance imaging
- liver fibrosis
- contrast enhanced
- machine learning
- deep learning
- high resolution
- computed tomography
- magnetic resonance
- electronic health record
- blood pressure
- diffusion weighted
- diffusion weighted imaging
- mass spectrometry
- health information
- loop mediated isothermal amplification
- social media
- neural network
- quantum dots
- clinical evaluation