机构地区:[1]河北生殖妇产医院乳腺外科,石家庄050000 [2]河北省沧州中西医结合医院乳腺外科,沧州061014
出 处:《中国医学装备》2024年第4期66-70,共5页China Medical Equipment
基 金:河北省卫生健康委员会课题(20200600)。
摘 要:目的:探讨基于人工智能技术的动态增强磁共振成像(DCE-MRI)直方图分析在乳腺癌术前分级诊断中的价值。方法:连续纳入2020年9月至2022年9月河北生殖妇产医院收治的80例乳腺癌患者,分别进行分子分型[Luminal A型22例,Luminal B型44例,三阴型10例,人表皮生长因子受体2(HER-2)过表达型4例]和组织学分级(1级21例,2级20例,3级39例)。收集所有患者DCE-MRI检查资料,将图像传至图像后台工作站进行图像后处理,获取速率常数(K_(ep))、容积转移常数(K^(trans))以及血管外细胞外间隙容积比(V_(e))的平均值、10%位数、25%位数、75%位数和90%位数,并进行人工智能分析。结果:分子分型中非Luminal B型乳腺癌患者K_(ep)值的平均值、10%位数、25%位数、75%位数和90%位数高于Luminal B型乳腺癌患者,差异有统计学意义(t=23.203、14.305、10.706、10.257、19.754,P<0.05),K^(trans)值的平均值、10%位数、25%位数、75%位数和90%位数高于Luminal B型乳腺癌患者,差异有统计学意义(t=8.946、6.803、15.113、6.309、8.284,P<0.05),V_(e)值的平均值、10%位数、25%位数、75%位数和90%位数低于Luminal B型乳腺癌患者,差异有统计学意义(t=8.850、8.686、5.831、9.580、6.753,P<0.05)。组织学分级中3级乳腺癌患者K_(ep)值的平均值、10%位数、25%位数、75%位数和90%位数高于1~2级乳腺癌患者,差异有统计学意义(t=3.478、2.487、2.858、2.308、2.048,P<0.05),K^(trans)值的平均值、10%位数、25%位数、75%位数和90%位数高于1~2级乳腺癌患者,差异有统计学意义(t=2.103、2.075、2.063、2.116、2.042,P<0.05),V_(e)值的平均值、10%位数、25%位数、75%位数和90%位数低于1~2级乳腺癌患者,差异有统计学意义(t=8.925、2.368、6.545、3.370、2.008,P<0.05)。K_(ep)值的平均值和10%位数、K^(trans)值的平均值和10%位数与乳腺癌组织学分级呈显著正相关(r=0.541、0.425、0.481、0.469,P<0.05),V_(e)值的平均值与乳腺癌组织学分Objective:To explore the value of histogram analysis of dynamic contrast enhanced-magnetic resonance imaging(DCE-MRI)based on artificial intelligence(AI)technique in preoperative grading diagnosis of breast cancer.Methods:A total of 80 patients with breast cancer admitted to Hebei Maternity Hospital from September 2020 to September 2022 were consecutively enrolled.They were divided into 22 cases were Luminal A type,and 44 cases were Luminal B type,and 10 cases were triple negative type and 4 cases were human epidermal growth factor receptor 2(HER-2)overexpression type according to molecular typing,and they also were divided into 21 cases were grade 1,20 cases were grade 2 and 39 cases were grade 3 according to histological grading.The DCE-MRI data of all patients were collected and were transmitted to backend workstation to conduct image post-processing.And then,the mean,10%,25%,75%and 90%values of rate constant(K_(ep)),volume transfer constant(K^(trans))and extracellular space volume ratio of blood vessels(V_(e))were obtained,and they were analyzed by AI.Results:As molecular typing,the mean,10%,25%,75%and 90%values of K_(ep) values patients with non-Luminal B type of breast cancer were respectively higher than those of patients with Luminal B type of breast cancer(t=23.203,14.305,10.706,10.257,19.754,P<0.05),and the mean,10%,25%,75%and 90%values of the K^(trans) values patients with non-Luminal B type of breast cancer were respectively higher than those of patients with Luminal B type of breast cancer(t=8.946,6.803,15.113,6.309,8.284,P<0.05),the differences were significant.In addition,the mean,10%,25%,75%and 90%values of the V_(e) values of patients with non-Luminal B type of breast cancer were significantly lower than those of patients with Luminal B type of breast cancer(t=8.850,8.686,5.831,9.580,6.753,P<0.05),respectively.As histological grading,the mean,10%,25%,75%and 90%values of K_(ep) values of patients with grade 3 of breast cancer were significantly higher than those of patients with grade 1-2 of breas
关 键 词:乳腺癌 动态增强磁共振成像(DCE-MRI) 人工智能(AI) 深度学习 卷积神经网络 直方图分析
分 类 号:R445.2[医药卫生—影像医学与核医学]
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