基于人工智能技术的动态增强磁共振成像直方图分析在乳腺癌术前分级诊断中的价值OACSTPCD
Value of DCE-MRI histogram analysis based on AI in preoperative grading diagnosis of breast cancer
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…查看全部>>
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 cas…查看全部>>
王一平;张剑茹;穆坤;张晔
河北生殖妇产医院乳腺外科 石家庄 050000河北生殖妇产医院乳腺外科 石家庄 050000河北省沧州中西医结合医院乳腺外科 沧州 061014河北生殖妇产医院乳腺外科 石家庄 050000
临床医学
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
Breast cancerDynamic contrast enhanced-magnetic resonance imaging(DCE-MRI)Artificial intelligence(AI)Deep learningConvolutional neural networkHistogram analysis
《中国医学装备》 2024 (4)
66-70,5
河北省卫生健康委员会课题(20200600) Project of Hebei Provincial Health Commission(20200600)
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