1.5T磁共振动态增强图像特征及参数在诊断乳腺癌中的应用

Application of 1.5T MR Dynamic Enhanced Image Features and Parameters in the Diagnosis of Breast Cancer

本文探讨1.5T磁共振动态增强图像特征及参数在诊断乳腺癌中的应用价值。选取100例乳腺癌患者作为观察组,另选取同期收治的60例乳腺良性肿瘤患者作为对照组,患者均行磁共振动态增强检查。结果显示,观察组病灶形态、边缘、内部强化情况及环形强化与对照组比较,差异有统计学意义(P<0.05);观察组Kep、Ktrans均高于对照组(P<0.05);Kep、Ktrans联合诊断的AUC为0.861,较各指标单一诊断价值更高;预后不良患者病灶形态、边缘、内部强化情况及环形强化与预后良好患者比较,差异有统计学意义(P<0.05);预后不良患者Kep、Ktrans均高于预后良好患者(P<0.05);病灶形态、边缘、内部强化、环形强化及Kep、Ktrans均与乳腺癌患者预后独立相关(P<0.05)。乳腺癌患者1.5T磁共振动态增强图像特征以形态不规则、边缘毛刺、内部不均匀强化及环形强化为主,且定量参数Kep、Ktrans处于较高水平,临床可通过磁共振动态增强成像特征及参数诊断乳腺癌,预测预后。

This paper explored the application value of 1.5Tmagnetic resonance dynamic enhanced image features and parameters in the diagnosis of breast cancer.100patients with breast cancer were selected as the observation group,and 60patients with benign breast tumors treated in the same period were selected as the control group.All patients underwent magnetic resonance dynamic enhanced examination.The results showed,compared with the control group that there were statistically significant differences on the lesion morphology,edge,internal enhancement and ring enhancement in the observation group(P<0.05).In the observation group the Kep and Ktrans were higher than those in the control group(P<0.05).The AUC of Kep,Ktrans combined diagnosis was 0.861,which was higher than the single diagnostic value of each index.The lesion morphology,edge,internal enhancement and ring enhancement in patients with poor prognosis were compared with those in patients with good prognosis(P<0.05).Kep and Ktrans of patients with poor prognosis were higher than those with good prognosis(P<0.05).The lesion morphology,edge,internal enhancement,annular enhancement,Kep,Ktrans were independently correlated with the prognosis of breast cancer patients(P<0.05).1.5T MRI dynamic enhancement image features of breast cancer patients are mainly irregular in shape,edge burr,internal inhomogeneous enhancement and annular enhancement,and the quantitative parameters Kep and Ktrans are at high levels,which could be clinically enhanced by MRI dynamic enhancement imaging features and parameters to diagnose breast cancer and predict prognosis.