出 处:《实用癌症杂志》2024年第7期1129-1132,共4页The Practical Journal of Cancer
基 金:河南省中医药科学研究专项课题(编号:2021JDZY095)。
摘 要:目的 探讨动态增强MRI时间-信号强度曲线与乳腺癌分子分型的关系。方法 选取乳腺癌患者110例,根据患者的雌激素受体、孕激素受体、人表皮生长因子受体-2的表达状态,将患者分为Luminal A型、Luminal B型、HER-2阳性型及三阴性。对4型患者进行动态增强MRI检测,分析不同亚型乳腺癌的容量转移常数(Ktrans)、速率常数(Kep)及时间-信号强度曲线(TIC)。结果 110例标本中,Luminal A型33例、占30.00%,Luminal B型30例,占27.27%,HER-2阳性型34例,占30.90%,三阴性型13例,占11.81%。Luminal A型和Luminal B型的Ktrans与Kep值差异无统计学意义,HER-2阳性型和三阴性型的Ktrans与Kep值差异无统计学意义(P>0.05),Luminal A型和Luminal B型的Ktrans、Kep水平低于HER-2阳性型和三阴性型(P<0.05)。Luminal A型中,有5例流入型TIC、20例平台型TIC、8例流出型TIC;Luminal B型中,有2例流入型TIC、10例平台型TIC、18例流出型TIC;HER-2阳性型中,有4例流入型TIC、11例平台型TIC、19例流出型TIC;三阴性型中,有4例流入型TIC、3例平台型TIC、6例流出型TIC。不同分子亚型乳腺癌DCE-MRI的时间-信号强度曲线差异有统计学意义(P<0.05)。结论 不同分子分型乳腺癌的DCE-MRI的血流动力学特点不同,可通过DCE-MRI的时间-信号强度曲线乳腺癌的分子分型进行初步预测。Objective To discuss the correlation between time-intensity curves(TIC)in dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)and molecular typing in breast cancer patients.Methods 110 breast cancer patients were enrolled,and classified into Luminal A subtype,Luminal B subtype,HER2-positive subtype and triple-negative subtype according to the response to the expression status of estrogen receptor,progesterone receptor,and human epidermal growth factor receptor 2.DCE-MRI was performed on patients of four subtypes.The histogram parameters volume transfer constant(K trans),rate constant(K ep)and TIC were compared among different subtypes.Results Among the 110 patients,30.00%(33/110)were Luminal A,27.27%(30/110)were Luminal B,30.90%(34/110)were HER-2 positive,and 11.81%(13/110)were triple negative.The K trans and K ep values were not statistically significant between Luminal A and Luminal B subtypes,and the K trans and K ep values either yielded no statistical difference between HER-2-positive and triple-negative subtypes(all P>0.05),while the K trans and K ep values of Luminal A and Luminal B subtypes were lower than those of HER-2-positive and triple-negative types(P<0.05).Within Luminal A type,TIC was inflow type in 5 cases,platform type in 20 cases and outflow type in 8 cases.Within Luminal B type,TIC was inflow type in 2 cases,platform type in 10 cases and outflow type in 18 cases.Within HER2-positive type,TIC was inflow type in 4 cases,platform type in 11 cases and outflow type in 19 cases.Within triple-negative type,TIC was inflow type in 4 cases,platform type in 3 cases and outflow type in 6 cases.The TIC in DCE-MRI demonstrated statistical difference among patients of different subtypes(P<0.05).Conclusion The hemodynamic parameters derived from DCE-MRI of different molecular profiles are different,and clinicians can make preliminary prediction of molecular staging of breast cancer through TIC in DCE-MRI.
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