Abstract
OBJECTIVE: The aim of this study was to predict tumor progression in patients with hepatocellular carcinoma (HCC) treated with radiofrequency ablation (RFA) using histogram analysis of apparent diffusion coefficients (ADC). METHODS: Breath-hold diffusion weighted imaging (DWI) was performed in 64 patients (33 progressive and 31 stable) with biopsy-proven HCC prior to RFA. All patients had pre-treatment magnetic resonance imaging (MRI) and follow-up computed tomography (CT) or MRI. The ADC values (ADC(10), ADC(30), ADC(median) and ADC(max)) were obtained from the histogram's 10th, 30th, 50th and 100th percentiles. The ratios of ADC(10), ADC(30), ADC(median) and ADC(max) to the mean non-lesion area-ADC (RADC(10), RADC(30), RADC(median), and RADC(max)) were calculated. The two patient groups were compared. Key predictive factors for survival were determined using the univariate and multivariate analysis of the Cox model. The Kaplan-Meier survival analysis was performed, and pairs of survival curves based on the key factors were compared using the log-rank test. RESULTS: The ADC(30), ADC(median), ADC(max), RADC(30), RADC(median), and RADC(max) were significantly larger in the progressive group than in the stable group (P<0.05). The median progression-free survival (PFS) was 22.9 months for all patients. The mean PFS for the stable and progressive groups were 47.7±1.3 and 9.8±1.3 months, respectively. Univariate analysis indicated that RADC(10), RADC(30), and RADC(median) were significantly correlated with the PFS [hazard ratio (HR)=31.02, 43.84, and 44.29, respectively, P<0.05 for all]. Multivariate analysis showed that RADC(median) was the only independent predictor of tumor progression (P=0.04). And the cutoff value of RADC(median) was 0.71. CONCLUSIONS: Pre-RFA ADC histogram analysis might serve as a useful biomarker for predicting tumor progression and survival in patients with HCC treated with RFA.