Based on the Decision Tree Algorithm,the Correlation between 3.0T Magnetic Resonance Imaging Scan and Diffusion-weighted Imaging Parameters and the Efficacy of Intracavitary Brachytherapy for Locally Advanced Cervical Cancer was Analyzed
Objective:To investigate the predictive value of 3.0T MRI and DWI parameters,utilizing decision tree algorithms,for assessing the efficacy of intracavitary brachytherapy in patients with locally advanced cervical cancer.Methods:A retrospective study was conducted on patients with locally advanced cervical cancer who underwent intracavitary brachytherapy in our hospital from April 2019 to April 2024.According to the effect of radiotherapy,they were divided into effective group(71 cases)and ineffective group(79 cases).Both groups of patients underwent 3.0T MRI scan,dynamic contrast-enhanced MRI(DCE-MRI)scan and DWI scan to obtain apparent diffusion coefficient(ADC),volume transfer constant(Ktrans),rate constant(Kep),and extravascular extracellular volume fraction(Ve).Based on the decision tree algorithm,the ROC curve was established to explore the diagnostic value of each factor.Results:the effective group has a higher ADC than the ineffective group,and a lower Kep,Ktrans and Ve,the differences were statistically significant(t=23.634,17.044,16.266,18.788;P＜0.001).The results of the decision tree model showed that ADC,Kep,Ktransand Ve were the influencing factors affecting the efficacy of radiotherapy in patients with advanced cervical cancer(P＜0.05).The accuracy was 90.70％,the area under the ROC curve was 0.932(95％CI:0.866-0.977),the sensitivity was 87.30％,and the specificity was 94.40％.Conclusion:In this study,a decision tree model was constructed based on 3.0T MRI scan and DWI scan parameters.The model has high diagnostic value for the efficacy of intracavitary brachytherapy for locally advanced cervical cancer,and can effectively provide reference for clinical treatment measures.
decision tree algorithm3.0T magnetic resonance imagingdiffusion-weighted imaginglocally advanced cervical cancerintracavitary brachytherapy
万方数据
维普
