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<p>We read with interest the article from Dr Horvat and colleagues in Radiology and Oncology in which they assessed the State of the art in magnetic resonance imaging (MRI) of hepatocellular carcinoma (HCC). The main strength is due to the good update on the role of this technique for HCC. We congratulate the authors on their accuracy in data presentation. Nevertheless, we would like to point out several features that the Radiology and Oncology readers should know about the Diffusion Weighted Imaging (DWI) and the possibility to use quantitative parameters extracted by DWI to characterize HCC, data not assessed by authors.<a ref-type="bibr" href="#j_raon-2019-0031_ref_001">001</a> DWI has been applied to liver imaging as an excellent tool for detection and characterization of focal liver lesions. The assessment of DW images can be done qualitatively and quantitatively, through the apparent diffusion coefficient (ADC) map. Le Bihan <italic>et al</italic>. as a first described the intravoxel incoherent motion (IVIM). IVIM data can be assessed qualitatively and quantitatively. IVIM data enable improved detection and characterization of HCC.<a ref-type="bibr" href="#j_raon-2019-0031_ref_002">2</a>Also, traditionally DWI approach to analyze data is founded on the hypothesis that water molecules diffuse within a voxel following a single direction with a Gaussian behavior without any restriction. However, water molecules within biologic tissues exhibits a non-Gaussian phenomena proposed by Jensen in 2005 called Diffusion Kurtosis Imaging (DKI).<a ref-type="bibr" href="#j_raon-2019-0031_ref_003">3</a>DKI is more accurate than traditional ADC in tumor assessment.<a ref-type="bibr" href="#j_raon-2019-0031_ref_003">3</a>The role of DWI and functional parameters extracted by DWI in HCC patient has been evaluated by different studies, showed that the DWI could be used as a helpful diagnostic tool for HCC in patients with chronic liver disease, since DWI can accurately detect HCC in patients with chronic liver disease regardless of the lesion size. The major limits of DWI are the different parameters used in DWI sequences, which may affect the results of ADC calculation. Several researches have evaluated the relationship between functional data by DWI and histological grade of HCC. Granata <italic>et al</italic>.<a ref-type="bibr" href="#j_raon-2019-0031_ref_004">4</a>found that DWI could be used to predict the histological grade of HCC, showing a good correlation between ADC and grading, between perfusion fraction (fp) and grading, and between tissue pure diffusivity (Dt) and grading. The mayor limit of DWI and IVIM parameters to discriminate the histological grade of HCC is depending on the fitting methods used to obtained functional parameters.</p>
<p>Goshima <italic>et al</italic> compared DKI with conventional DWI for assessing the response to treatment in hypervascular HCC.<a ref-type="bibr" href="#j_raon-2019-0031_ref_005">5</a>The sensitivity, specificity, and AUC of the ROC curve for the assessment of HCC viability were greater using MK than using ADC.<a ref-type="bibr" href="#j_raon-2019-0031_ref_005">5</a></p>
<p>In conclusion, DWI should be an integral part of study protocol for HCC patients, considering the great advantages due to DWI and DWI-based approaches in detection and characterization of HCC.</p>
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Comment on “State of the art in magnetic resonance imaging of hepatocellular carcinoma”: the role of DWI

Radiology and Oncology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Comment on “State of the art in magnetic resonance imaging of hepatocellular carcinoma”: the role of DWI

Article Category: Correspondence

Published Online: Jul 13, 2019

Page range: 369 - 370

Received: Feb 06, 2019

DOI: https://doi.org/10.2478/raon-2019-0031

© 2019 Vincenza Granata, Roberta Fusco, Salvatore Filice, Paola Incollingo, Andrea Belli, Francesco Izzo, Antonella Petrillo, published by sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.