Evaluation of Gadolinium Contrast Agent Deposition in Brain Based on T1WI First-order Omics Features
Objective To investigate the value and optimal quantitative parameters of first-order omics feature analysis in the evaluation of gadolinium contrast agent deposition in the brain.Methods The images of 114 patients who underwent at least four linear gadolinium contrast agent MR enhancement examinations were retrospectively analyzed.The ratio of dentate nucleus/pons signal intensity in T1WI images of each examination was measured.Spearman rank correlation analysis was used to evaluate the relationship between signal intensity ratio and enhancement times.The receiver operating characteristic(ROC)curves of the dentate nucleus/pons signal intensity ratio of the first and last MRI unscanned T1WI were drawn,and the area under thecurve(AUC)was calculated to evaluate its diagnostic efficacy.Using ITK-SNAP software,the ROIs of bilateral dentate nucleus were delineated on the first and last unscanned T1WI images,and the first-order omics features were extracted.The ROC curves with statistically significant differences between the first and last examination were drawn,and the AUC values were calculated to evaluate the diagnostic efficacy of the screened first-order omics features.Delong method was used to compare the diagnostic efficacy of the screened first-order omics features with the ratio of signal intensity.Results There was a positive correlation between the intensity ratio of dentate nucleus/pons on plain T1WI images(r=0.570).The signal intensity ratio of dentate nucleus to pons(AUC)was 0.839.The AUC value of energy(0.992)was the highest among the first-order omics features and higher than the signal intensity ratio(P＜0.001).Conclusion The diagnostic efficacy of first-order omics features of energy and total energy in the evaluation of gadolinium contrast agent intracerebral deposition is better than that of dentate nucleus/pons signal intensity ratio,and energy has the highest diagnostic efficacy.
GadoliniumDentate nucleusMagnetic Resonance ImagingFirst Order Omics Features
万方数据
维普
