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.