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Page 8 of 13                                               Tong et al. Hepatoma Res 2019;5:36  I  http://dx.doi.org/10.20517/2394-5079.2019.005


                            Yes                    129        17.7        4.10-38.4  0.5418
                            No                     35         17.9        8.10-36.9

                    TGR: tumor growth rate; HBV: hepatitis B virus; HCV: hepatitis C virus; HBeAg: hepatitis B e-antigen; AFP: alpha-fetoprotein



































               Figure 1. Regression tree analysis: predictors of hepatocellular carcinoma tumor growth rates. Each node is based on available data for
               each predictive variable presented. TGR is reported as a median. TGR: tumor growth rate; AFP: alpha-fetoprotein

               per month and the median TGR in the faster group was 38.9% per month. As illustrated in Figure 3, the
               recurrence-free survival in patients who received OLT, surgical resection, or RFA was significantly longer in
               patients with slow TGRs for each treatment modality (P = 0.029). Patients who received OLT who had slow
               TGRs had the longest recurrence-free survival. Those HCC patients who received surgical resection or RFA
               had similar survival rates in both the slow and fast TGR groups. The poorest recurrence-free survivals were
               observed in the TACE treated or supportive care patients with fast TGRs.


               DISCUSSION
               Previous reports have utilized MRI or CT to find potential biomarkers to predict clinical outcomes in
               patients with HCC. Using MRI, one report showed that patients with fat-containing HCC had less tumor
               progression, less distant metastases, and a longer time to tumor progression when compared to patients
                                         [16]
               with non-fat containing HCC . Another report showed that patients with complete tumor encapsulation
               on MRI had lower AFP levels, an absence of vascular invasion, more patients in Child-Pugh class A, and
                                       [17]
               significantly longer survivals . Further, the authors also noted that the rates of downstaging and eventual
               liver transplantation were significantly higher. However, recognition of these imaging features depends on
               the expertise of the interpreting radiologist and may be challenging to implement as a practical clinical
               tool. Nevertheless, efforts to standardize imaging reporting (i.e., Organ Procurement and Transplantation
               Network/United Network for Organ Sharing (OPTN) and Liver Imaging Reporting and Data System
               (LI-RADS) criterion) may allow incorporation of additional important imaging biomarkers for tumor
               prognosis [18,19] . As tumor size is already a basic measure reported with all detected tumors, the calculation of
               TGR is feasible when serial imaging is available and, thus, may be considered as another potential imaging
               biomarker.
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