An algorithmic approach to MR characterization of focal liver lesions in adults without cirrhosis.

Diagnosing both known and incidental liver lesions in the non-cirrhotic liver on MRI can be challenging. The radiologist can often narrow the diagnosis toward a diagnostic category using various sequences. Using an organized framework to guide the reader's differential diagnosis can be helpful. We present a sequential approach to the diagnosis of focal liver lesions, by first assessing background liver parenchymal signal intensity, then comparing the T1-weighted signal intensity of the reference organ(s), followed by comparing the T2-weighted signal intensity characteristics of lesion to fluid/spleen, and finally confirming using additional sequences including dynamic contrast-enhanced imaging, hepatobiliary imaging, diffusion weighted imaging, as well as clinical and laboratory testing and additional modalities. Using this stepwise framework can sequentially guide the reader toward a diagnosis. Copyright © 2025 Elsevier B.V. All rights reserved.

Citation

Shan Su, Neha Yadu, Gaurav Khatri, Hala Khasawneh, Ivan Pedrosa, Takeshi Yokoo. An algorithmic approach to MR characterization of focal liver lesions in adults without cirrhosis. European journal of radiology. 2025 Apr;185:112001

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PMID: 39978238

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