The value of functional MRI on predicting therapeutic outcome of TACE on hepatocellular carcinoma
Ma Xiaohong1, Zhao Xinming1, Ouyang Han1, and Zhou Chunwu1

1Diagnostic Radiology, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China, People's Republic of

Synopsis

The purpose of this study was to explore the efficacy of functional MRI (diffusion-weighted imaging (DWI), IntraVoxel incoherent motion (IVIM) and perfusion-weighted imaging (PWI)) quantitative analysis in predicting therapeutic outcome of TACE on HCC. The Dfast, Ktrans, ΔDfast and ΔKtrans of HCC acquired before and after TACE obviously correlated with PFS and was valuable in the prediction of the clinical outcome of HCC treated with TACE.

Introduction: Transcatheter arterial chemoembolization (TACE) is an important non-surgical treatment strategy for hepatocellular carcinoma (HCC). Previous studies focused on the evaluation of the RFA efficacy and monitoring recurrence after treatment [1]. Development of a biomarker to predict response would have a significant impact on treatment decisions and support personalized approaches to treatment planning [2]. The purpose of this study was to explore the efficacy of functional MRI (diffusion-weighted imaging (DWI), IntraVoxel incoherent motion (IVIM) and perfusion-weighted imaging (PWI)) quantitative analysis in predicting therapeutic outcome of TACE on HCC. Materials and methods: Sixty-five patients with biopsy-proven or clinical diagnostic HCC underwent DWI, IntraVoxel incoherent motion IVIM and perfusion-weighted imaging PWI on a 3.0T MR scanner before TACE treatment, and forty-three HCC patients took the same MR scan after TACE treatment. The quantitative parameters were measured on the maximal tumor region, including MTD, ADC, Dslow, Dfast, f, Ktrans, Kep and Ve value before and after TACE treatment. All data were statistically analyzed. Results: In the preoperative, Univariate Cox regression analysis indicated that ADC, Dslow, Dfast, f, Ktrans, Kep and Ve values of the tumor were significantly associated with progression-free survival (PFS) (P<0.05, respectively). In the postoperative, Univariate Cox regression analysis showed Ktrans, ΔDslow, ΔDfast, ΔMTD and ΔKtrans values of the tumor were significantly correlated with PFS (P<0.05, respectively). In multivariate analysis, both Dfast and Ktrans values of tumors were significant predictors for tumor progressive (χ2 =6.77 and 7.66, P = 0.01 and 0.00) before the preoperative, as well as, the ΔMTD, ΔDfast andΔKtrans values of tumors were significant predictors for tumor progressive (χ2=5.43, 6.50 and 8.03, P=0.00, 0.01 and 0.01) after the preoperative. When ROC of was used for finding the cut-off value, the cut-off value of Dfast, Ktrans, ΔDfast andΔKtrans were 26.40 x10-3mm2/s, 1.46 /min, 10.60 x10-3mm2/s, 0.28 /min, respectively. Conclusion: We have shown that the quantitative parameters of IVIM and PWI could improve the predictive value in HCC patients treated with TACE. The Dfast, Ktrans, ΔDfast and ΔKtrans of HCC acquired before and after TACE obviously correlated with PFS and was valuable in the prediction of the clinical outcome of HCC treated with TACE.

Acknowledgements

No acknowledgement found.

References

[1] Li SP, Padhani AR. Tumor response assessments with diffusion and perfusion MRI . Journal of Magnetic Resonance Imaging. 2012; 35(4): 745-763. [2] Kim KA, Park MS, Ji HJ, et al. Diffusion and perfusion MRI prediction of progression-free survival in patients with hepatocellular carcinoma treated with concurrent chemoradiotherapy. J Magn Reson Imaging. 2014; 9(2): 286-292.


Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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