磁共振成像2024，Vol.15Issue(7)：112-117,6.DOI:10.12015/issn.1674-8034.2024.07.019
合成MRI联合常规MRI鉴别三阴性与非三阴性乳腺癌的价值
Value of synthetic MRI and conventional MRI in identifying triple negative and non-triple negative breast cancer
摘要
Abstract
Objective:To explore the value of synthetic MRI (syMRI) and conventional MRI in identifying triple negative breast cancer (TNBC) and nonTNBC. Materials and Methods:This retrospective study included 167 patients with pathologically proven breast cancer. There were 30 cases in the TNBC group and 137 cases in the nonTNBC group. All patients underwent syMRI examinations. The following parameters were measured and evaluated:fibroglandular tissue,background parenchymal enhancement,lesion shape,edge,diameter,T2WI signal,apparent diffusion coefficient (ADC),patterns of enhancement,time-signal intensity curve,syMRI parameters (T1pre,T2pre,PDpre,T1Gd,T2Gd,PDGd). Univariate and multivariate analysis were used to compare the parameters of TNBC group and nonTNBC group and three predictive models were established:syMRI model,conventional MRI model and Joint model (syMRI+conventional MRI). Receiver operator characteristic curve and area under the curve (AUC) were used to analyze the efficiency of each predictive model in distinguishing TNBC and non-TNBC. Then the DeLong test was used to compare the differences in AUC. Results:There were statistically significant differences (P<0.05) in T2WI,ADC,rim enhancement,T1pre,T2pre,T1Gd,T2Gd,ΔT2,ΔPD,rT2,ΔT2％ and ΔPD％ between TNBC group and non TNBC group. Multivariate analyses showed that ADC,the presence of rim enhancement,T2pre,T1Gd and T2Gd were independent predictors for diagnosis of TNBC (P<0.05). Joint model had the highest diagnostic performance with an AUC of 0.932. Conclusions:The prediction model established based on syMRI and conventional MRI have value in identifying TNBC and nonTNBC.关键词
三阴性乳腺癌/非三阴性乳腺癌/磁共振成像/合成磁共振成像/常规磁共振成像Key words
triple-negative breast cancer/non-triple-negative breast carcinoma/magnetic resonance imaging/synthetic magnetic resonance imaging/conventional magnetic resonance imaging分类
医药卫生引用本文复制引用
王兰梅,周智鹏,徐列印,林斌,余雪燕,王玲廷..合成MRI联合常规MRI鉴别三阴性与非三阴性乳腺癌的价值[J].磁共振成像,2024,15(7):112-117,6.基金项目
广西自然科学基金项目(编号:2022JJA141266) （编号:2022JJA141266）
2022年桂林市技术应用与推广计划项目(编号:20220139-2) Project of Guangxi Natural Science Foundation(No.2022JJA141266) （编号:20220139-2）
Technology Application and Popularization Plan of Guilin in 2022(No.20220139-2). （No.20220139-2）
