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首页|期刊导航|中国临床医学影像杂志|定量MRI预测Ⅰ~Ⅲ期乳腺癌分子亚型和预后的可行性研究

定量MRI预测Ⅰ~Ⅲ期乳腺癌分子亚型和预后的可行性研究OA北大核心CSTPCD

Feasibility study of quantitative MRI in predicting molecular subtypes and prognosis of stage Ⅰ~Ⅲ breast cancer

中文摘要英文摘要

目的:探讨体素内不相干运动(IVIM)成像和动态对比增强MRI(DCE-MRI)评估Ⅰ~Ⅲ期乳腺癌分子亚型和预后的可行性及价值.方法:回顾性分析 2020 年 1 月—2022 年 3 月在我院行IVIM和DCE-MRI检查并经手术病理证实的 144 例乳腺癌患者的资料,测量IVIM 参数真实扩散系数(D)、假扩散系数(D*)、灌注分数(f),测量DCE-MRI定量参数容量转移常数(Ktrans)、速率常数(Kep)、血管外细胞外容量比(Ve).采用Logistic回归分析确定预测分子亚型和预后的独立影响因素,建立预测模型.采用受试者工作特征(ROC)曲线分析模型的诊断效能,采用DeLong检验比较ROC曲线下面积(AUC).结果:Logistic回归分析结果显示,D、Ktrans和Ve均为Luminal型和三阴性型乳腺癌的独立预测因素(P=0.003、<0.001、0.002;P=0.027、0.002、<0.001).D+Ktrans+Ve联合模型诊断Luminal型和三阴性型乳腺癌的AUC分别为 0.883、0.850.D和Ktrans为预测HER2 过表达型乳腺癌的独立影响因素,D+Ktrans联合模型具有最佳的诊断效能,AUC为 0.913.Ktrans为预测诺丁汉预后指数(NPI)的独立影响因素,AUC为 0.790;D为预测Ki-67 表达情况的独立影响因素,AUC为 0.747.结论:IVIM和DCE-MRI联合模型对Ⅰ~Ⅲ期乳腺癌分子亚型和预后具有较好的预测效能,可在一定程度上指导临床制定治疗决策.

Objective:To explore the feasibility and value of intravoxel incoherent motion(IVIM)and dynamic contrast en-hanced MRI(DCE-MRI)in evaluating molecular subtypes and prognosis of stage Ⅰ~Ⅲ breast cancer.Methods:From January 2020 to March 2022,data of 144 patients with breast cancer confirmed by surgical pathology in the Affiliated Hospital of Jining Medical University were retrospectively analyzed.All patients received IVIM and DCE-MRI scans,and the quantitative parameters of IVIM(true diffusion coefficient(D),pseudo diffusion coeffificient(D*),perfusion fraction(f))and the quantitative pa-rameters of DCE-MRI(volume tansfer constant(Ktrans),rate constant(Kep),extracellular extravascular volume fraction(Ve))were measured.Independent risk factors for predicting molecular subtypes and prognosis were screened using logistic regression and the predictive models were built.The receiver operator characteristic(ROC)curves were drawn to evaluate the diagnostic effi-ciency of models,and DeLong test was used to compare area under the ROC curve(AUC).Results:Logistic regression results showed that D,Ktrans and Ve were independent risk factors for Luminal and triple-negative types,respectively(P=0.003,<0.001,0.002;P=0.027,0.002,<0.001).D+Ktrans+Ve showed the best prediction for Lunimal(AUC=0.883)and triple-negative subtypes(AUC=0.850).Meanwhile,D and Ktrans were independent risk factors for HER2 overexpression type,and the D+Ktrans model showed an optimal diagnostic efficiency,with an AUC of 0.913.Additionally,Ktrans was an independent factor for predicting Nottingham prognostic index(NPI),with an AUC of 0.790;and D was the only independent risk factor for predicting the ex-pression of antigen Ki-67 with an AUC of 0.747.Conclusions:The combined IVIM and DCE-MRI diagnostic model showed favorable diagnostic efficiency in predicting molecular subtypes and prognosis of stage Ⅰ~Ⅲ breast cancer,which might be helpful with the clinical therapy decision-making in a certain degree.

周哲;靳园;王唯伟;孙占国

济宁医学院附属医院,山东 济宁 272029

临床医学

乳腺肿瘤磁共振成像

Breast NeoplasmsMagnetic Resonance Imaging

《中国临床医学影像杂志》 2024 (003)

163-168 / 6

济宁医学院附属医院"苗圃"科研计划项目(MP-MS-2021-008);济宁市重点研发计划项目(2022YXNS076);贺林院士新医学科研项目(JYHL2022FMS07).

10.12117/jccmi.2024.03.003

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