Advanced Diagnostic & Interventional Radiology Research Center | ] Prediction of hepatocellular carcinoma response to transarterial chemoembolization with intravoxel incoherent motion diffusion weighted imaging

Advanced Diagnostic & Interventional Radiology Research Center | ] Prediction of hepatocellular carcinoma response to transarterial chemoembolization with intravoxel incoherent motion diffusion weighted imaging
| Dec 10 2025
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Advanced Diagnostic & Interventional Radiology Research Center

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  • Release Date : Jul 24 2024 - 09:30
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] Prediction of hepatocellular carcinoma response to transarterial chemoembolization with intravoxel incoherent motion diffusion weighted imaging

hepatocellular carcinoma response to chemoembolization with diffusion mri {faces}

Background

There are several therapeutic options for hepatocellular carcinoma (HCC). As predicting the treatment response is critical in clinical decision making, we aimed to evaluate the quantitative intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) parameters as potential predictors of treatment response of HCC lesions to transarterial chemoembolization (TACE).

Results

Twelve patients (eight males; mean age, 56.12 ± 7.88) with 26 confirmed HCC lesions were recruited in the study. Thirteen lesions (50%) responded to TACE, and the remaining lesions were categorized as nonresponder. Age > 60 year (p value: 0.018), D (p value: 0.005), D* (p value: 0.005), and f (p value: 0.004) values were significantly different in response and nonresponse group lesions. Logistic multivariate analysis showed that f value (OR: 0.847 (95% CI 0.732–0.98), p value = 0.025) could independently predict tumor response to TACE. The ROC curve analysis showed f value could predict the HCC response to TACE with sensitivity and specificity of 76.9% and 76.9%, respectively.

Conclusions

IVIM-DWI parameters, especially the f value, might be useful for predicting the response of the intermediate-stage HCC to TACE.

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  • News Group : research,articles,research article,AI,AI articles
  • News Code : 277924
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