ObjectiveTo compare the value of apparent diffusion coefficients (ADCs) of MR-DWI at different b values in evaluating the progression of hepatocellular carcinoma (HCC) after transcatheter arterial chemoembolization (TACE).MethodsAll of 168 patients with HCC who met the inclusion and exclusion criteria and received the TACE for the first time in the Characteristic Medical Center of PAPF were collected retrospectively, who were divided into a stable group and progressive group according to the results of MRI evaluation at the 6th month after the TACE treatment. The clinical and imaging data of the two groups were compared before the TACE treatment. The Cox proportional hazard regression model was used to analyze the risk factors for the disease progression after the TACE treatment. The receiver operating characteristic curve (ROC) was used to analyze the predicting of efficacy evaluation of TACE by the ADC values at different b values.ResultsCompared with the stable group, the proportions of hepatitis B cirrhosis history, portal vein tumor thrombus, and arteriovenous fistula were higher (P<0.05), and the BCLC stage and Child Pugh grade were worse (P<0.05), and the ADC values were higher (P<0.05) in the progressive group. The results of Cox analysis showed that the ADC values at b=600 and 800 s/mm2 before the TACE, history of hepatitis B cirrhosis, portal vein tumor thrombus, arteriovenous fistula, advanced BCLC stage and Child-Pugh grade were the risk factors for the progression at the 6th month after the TACE treatment. When the b value was 800 s/mm2, the ADC value had the highest efficacy in predicting the outcome of patients (area under ROC curve was 0.746), and the best diagnostic cut-off point was 1.20×10–3 mm2/s, the sensitivity was 73.3% and the specificity was 71.8%.ConclusionADC value of MR-DWI could predict progression after TACE in patients with HCC, and ADC value of 800 s/mm2 has a better predictive value for them.
In order to meet the requirements in the cooperation and competition experiments for an individual patient in clinical application, two human interactive behavior key-press models based on hidden Markov model (HMM) were proposed. To validate the cooperative and competitive models, a verification experimental task was designed and the data were collected. The correlation of the score and subjects’ participation level has been used to analyze the reasonability verification. Behavior verification was conducted by comparing the statistical difference in response time for subjects between human-human and human-computer experiment. In order to verify the physiological validity of the models, we have utilized the coherence analysis to analyze the deep information of prefrontal brain area. Reasonability verification shows that the correlation coefficient for the training data and the testing data is 0.883 1 and 0.578 6 respectively based on cooperation model, and 0.813 1 and 0.617 8 respectively based on the competition model. The behavioral verification result shows that the cooperation and competition models have an accuracy of 71.43% respectively. The results of physiological validity show that the deep information of prefrontal brain area could been extracted based on the cooperation and competition models, and reveal the consistency of coherence between the double key-press cooperative and competitive experiments, respectively. Above all, the high consistency is obtained between the cooperatio/competition model and the double key-press experiment by the behavioral and physiological evaluation results. Consequently, the cooperation and competition models could be applied to clinical trials.