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Analysis of the application value of texture feature calculated from enhanced CT images in differentiating FNH and HCC
Pages: 576-579,583
Year: Issue:  5
Journal: Oncology Progress

Abstract: Objective To investigate the application value of CT texture analysis in differentiating focal nodular hy-perplasia (FNH) from hepatocellular carcinoma (HCC) by analyzing and comparing enhanced CT texture features of FNH and HCC. Method 22 cases of patients with FNH and 28 cases of patients with HCC were retrospectively analyzed. All of the 50 patients were examined by triple-phase enhanced CT scan, texture features of lesions were analyzed during arte-rial phase, portal venous phase and delayed phase, value of texture parameters (gray level mean, skewness, kurtosis, corre-lation, energy, SD and entropy) were determined by texture analysis using gray level histogram and gray-level co-occur-rence matrix texture analysis, and all the results were compared and analyzed. Result In arterial phase, FNH differed from HCC in skewness, mean, SD, energy and correlation;in portal phase, FNH differed from HCC in skewness, mean, kurtosis and correlation;and in delayed phase, FNH differed from HCC only in mean and correlation. All the above differ-ences were statistical significant (P<0.05). The results of ROC analysis showed that, in all the phases of triple-phase en-hanced CT scan, mean gray level value was the texture parameter that provided the best diagnostic performance, with cor-responding AUC values in each phase being 0.849, 0.888 and 0.886, respectively. There was no statistically significant difference in mean value between arterial phase and delayed phase (P=0.495). However, statistically significant differenc-es were observed in mean value between portal venous phase and arterial phase or between portal venous phase and de-layed phase (P=0.000, 0.000). Sensitivity and specificity of diagnosis was 81.8%and 75.0%when critical value of mean gray level in arterial phase was 79.84, 86.4%and 82.1%when critical value in portal venous phase was set at 101.90, and 90.9%and 82.1%when critical value in delayed phase was 81.78. Conclusion Texture analysis of CT images holds prom-ising value in differentiating FNH from HCC, and the value of mean gray level may be of vast importance in diagnosis.
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