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Performance of Ultrasound Techniques and the Potential of Artificial Intelligence in the Evaluation of Hepatocellular Carcinoma and Non-Alcoholic Fatty Liver Disease. | LitMetric

AI Article Synopsis

  • Global statistics indicate a rising number of patients developing non-alcoholic fatty liver disease (NAFLD) and related liver cancer (HCC) without cirrhosis.
  • This review assesses the effectiveness of ultrasound (US) for diagnosing NAFLD and HCC, highlighting the potential of artificial intelligence (AI) to improve screening accuracy.
  • While conventional US is the primary tool for NAFLD assessment, its limitations can be overcome by using ultrasound contrast agents (UCAs) and leveraging AI technology, which may significantly enhance patient diagnosis and treatment.

Article Abstract

Global statistics show an increasing percentage of patients that develop non-alcoholic fatty liver disease (NAFLD) and NAFLD-related hepatocellular carcinoma (HCC), even in the absence of cirrhosis. In the present review, we analyzed the diagnostic performance of ultrasonography (US) in the non-invasive evaluation of NAFLD and NAFLD-related HCC, as well as possibilities of optimizing US diagnosis with the help of artificial intelligence (AI) assistance. To date, US is the first-line examination recommended in the screening of patients with clinical suspicion of NAFLD, as it is readily available and leads to a better disease-specific surveillance. However, the conventional US presents limitations that significantly hamper its applicability in quantifying NAFLD and accurately characterizing a given focal liver lesion (FLL). Ultrasound contrast agents (UCAs) are an essential add-on to the conventional B-mode US and to the Doppler US that further empower this method, allowing the evaluation of the enhancement properties and the vascular architecture of FLLs, in comparison to the background parenchyma. The current paper also explores the new universe of AI and the various implications of deep learning algorithms in the evaluation of NAFLD and NAFLD-related HCC through US methods, concluding that it could potentially be a game changer for patient care.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918928PMC
http://dx.doi.org/10.3390/cancers13040790DOI Listing

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