Clinical value of integrated magnetic resonance imaging in identifying benign and malignant breast lesions
Objective To investigate the differential diagnostic value of integrated magnetic resonance imaging(SyMRI)for benign and malignant breast lesions.Methods 108 patients with breast lesions were retrospectively collected and confirmed by postoper-ative pathology,routine MRI and integrated magnetic resonance imaging were performed before surgery.Among them,30 patients had be-nign lesions,78 malignant lesions.Quantitative parametric plots generated by SyMRI were generated for each lesion,including T1-weighted(T1WI),T2-weighted(T2WI),and proton density-weighted(PDWI)images,pre-and post-enhancement were measured and recorded as T1,T2,PD,R1,R2 relaxation values and standard deviation(SD),and calculate its relative rate of change(ΔT1％,ΔT2％,ΔPD％).Differences between quantitative parameters between benign and malignant lesions were compared.The receiver operat-ing characteristic curve(ROC)was used to evaluate the differential diagnostic value of each quantitative parameter value and the diag-nostic model for benign and malignant breast lesions.Results The quantitative parameters of benign lesions were higher than those of malignant lesions group(P＜0.05);the differences in T1e value,T1p,T2e value,T2p value,PDp value,ΔT1％and ΔT2％between be-nign and malignant breast lesion groups were statistically significant(P＜0.05).Multivariate logistic regression analysis showed that T1e value,T1p value,and T2e value are independent influencing factors in predicting breast cancer,and the T1e+T1p+T2e diagnostic mod-el has the best effect in differential diagnosis of benign and malignant breasts(AUC=0.902).Conclusion Integrated magnetic reso-nance imaging(syMRI)can improve the discrimination of benign and malignant breast lesions,and the quantitative parameters of benign breast lesions are higher than those of malignant lesions,and the T1e+T1p+T2e diagnostic model has the best efficacy.
Integrated magnetic resonance imagingBreast cancerDiagnosis
万方数据
维普
