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Related Experiment Video

Updated: May 30, 2026

Non-Invasive PET/MR Imaging in an Orthotopic Mouse Model of Hepatocellular Carcinoma
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Non-Invasive PET/MR Imaging in an Orthotopic Mouse Model of Hepatocellular Carcinoma

Published on: August 31, 2022

Hepatic tumor response evaluation by MRI.

Chang Hee Lee1, Larissa Braga, Rafael O P de Campos

  • 1Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

NMR in Biomedicine
|July 28, 2011
PubMed
Summary

Magnetic resonance imaging (MRI) is vital for assessing liver tumor treatment response. Advanced MRI techniques show promise as biomarkers for evaluating treatment effectiveness in liver cancer patients.

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Noninvasive evaluation of hepatic tumor response is critical for improving cancer patient survival and quality of life.
  • Magnetic resonance imaging (MRI) is a key modality for managing hepatic tumors due to its high contrast resolution, lack of ionizing radiation, and functional imaging capabilities.

Purpose of the Study:

  • To provide an overview of MRI findings following various treatments for primary and secondary focal liver malignancies.
  • To highlight recent trends in using MRI techniques as imaging biomarkers for disease.
  • To describe the appearance of successful and incomplete treatment responses.

Main Methods:

  • Review of MRI findings after treatments such as transcatheter arterial chemoembolization, ablative therapy, systemic chemotherapy, and radiation therapy.

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Transarterial Administration of Oncolytic Viruses for Locoregional Therapy of Orthotopic HCC in Rats
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Last Updated: May 30, 2026

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Y-90 Radioembolization and PD-1 Inhibitor as Neoadjuvant Treatment in Hepatocellular Carcinoma
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  • Focus on dynamic contrast-enhanced MRI (DCE-MRI) as an established noninvasive method and potential biomarker.
  • Exploration of diffusion-weighted MRI (DW-MRI), perfusion-weighted MRI (PWI), and magnetic resonance spectroscopy (MRS) as emerging functional biomarkers.

    • Main Results:

    • Dynamic contrast-enhanced MRI is an established method for tumor detection and response assessment.
    • Diffusion-weighted MRI, perfusion-weighted MRI, and MRS show potential as functional biomarkers for patient selection and treatment response evaluation.
    • Successful and incomplete treatment responses are visualized through specific MRI findings.

    Conclusions:

    • MRI plays a significant role in the diagnosis, treatment planning, and response assessment of hepatic tumors.
    • Advanced MRI techniques like DCE-MRI, DW-MRI, PWI, and MRS are promising imaging biomarkers for liver cancer.
    • Further validation and standardization are needed for the widespread clinical adoption of these functional MRI biomarkers.