Abstract
Background: To assess the feasibility of radiomics based on precontrast MRI for the distinguish of s-HCC and pre-HCC.Method: We retrospectively analyzed 146 nodules from 78 patients, with pathological confirmed. Each nodule was segment on precontrast MRI sequence(TIWI and fat-suppression T2WI), retrospectively. 1223radiomics features were extracted and the optimal 10 features were selected by LASSO to establish the logistic regression radiomics model. Result: The AUC, sensitivity and specificity of the training group and test group were 0.757 (95% CI 0.638 -0.853), 83.02% , 66.67% and 0.789 (95% CI 0.643-0.895), 88.89% and 80.00%, respectively. The AUC, sensitivity and specificity of the training group and test group were 0.903 (95% CI 0.807-0.962), 86.79% , 86.67% and 0.778 (95% CI 0.632-0.887), 75.00%, 80.00%, respectively. Delong test has proved that, the diagnositic performances of radiomics model based on T2WI were higher than that of radiomics model based on T1WI (p = 0.0379).Conclusion: Radiomics model can classify s-HCC and pre-HCC based on precontrast MRI. And may serve as an adjunct tool for accurate diagnosis of s-HCC.
MR temperature imaging using PRF phase difference and a geometric model-based fat suppression method