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find Author "YANGDancairang" 1 results
  • Advances in imaging studies of metabolic dysfunction-associated fatty liver disease

    ObjectiveTo evaluate the application value of imaging techniques in the noninvasive diagnosis of metabolic dysfunction-associated fatty liver disease (MAFLD), with a view to providing a reference basis for early screening and precise diagnosis and treatment. MethodsThe literature on research progress of ultrasound, CT, MRI and other imaging techniques in the diagnosis of MAFLD in recent years were reviewed and the advantages, limitations, and clinical application prospects of different methods were analyzed. ResultsThe core of MAFLD diagnosis lies in the early non-invasive assessment of hepatic steatosis and fibrosis. Current imaging techniques such as ultrasound, CT, and MRI are used in the diagnosis of MAFLD. Ultrasound is convenient and cost-effective, but its accuracy is operator-dependent; CT can quantify liver fat content, but carries radiation risks; MRI-derived proton density fat fraction is currently the reference standard for non-invasive diagnosis, offering high accuracy, yet it is more costly and has limited accessibility. Emerging technologies like artificial intelligence-assisted image analysis can improve diagnostic performance, but their clinical utility still requires further validation. ConclusionsCurrent imaging techniques such as ultrasound, CT, and MRI play significant roles in the non-invasive diagnosis of MAFLD, with each method having its own advantages. Clinical selection should consider accuracy, accessibility, and economic factors. Future research should focus on optimizing existing technologies, exploring multimodal imaging integration, and developing artificial intelligence assisted diagnostics to enhance early detection rates and guide personalized treatment.

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