中国医学装备2024，Vol.21Issue(4)：66-70,5.DOI:10.3969/j.issn.1672-8270.2024.04.013
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
Value of DCE-MRI histogram analysis based on AI in preoperative grading diagnosis of breast cancer
摘要
Abstract
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(Kep),volume transfer constant(Ktrans)and extracellular space volume ratio of blood vessels(Ve)were obtained,and they were analyzed by AI.Results:As molecular typing,the mean,10%,25%,75%and 90%values of Kep 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 Ktrans 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 Ve 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 Kep values of patients with grade 3 of breast cancer were significantly higher than those of patients with grade 1-2 of breast cancer(t=3.478,2.487,2.858,2.308,2.048,P<0.05),respectively.The mean,10%,25%,75%and 90%values of Ktrans values of patients with grade 3 of breast cancer were significantly higher than those of patients with grade 1-2 of breast cancer(t=2.103,2.075,2.063,2.116,2.042,P<0.05),respectively.The mean,10%,25%,75%and 90%values of Ve values of patients with grade 3 of breast cancer were significantly higher than those of patients with grade 1-2 of breast cancer(t=8.925,2.368,6.545,3.370,2.008,P<0.05),respectively.The mean and 10%value of Kep value,and the mean and 10%value of Ktrans value were significantly positively correlated with the histological grading of breast cancer(r=0.541,0.425,0.481,0.469,P<0.05),respectively,and the mean of Ve value was significantly negatively correlated with the histological grading of breast cancer(r=-0.567,P<0.05).Conclusion:DCE-MRI histogram analysis based on AI technique can eliminate the influence of subjectivity and human error,and improve the objectivity and consistency of preoperative grading diagnosis of breast cancer,and help clinicians to formulate personalized treatment plans,which has clinical promotion value.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Key words
Breast cancer/Dynamic contrast enhanced-magnetic resonance imaging(DCE-MRI)/Artificial intelligence(AI)/Deep learning/Convolutional neural network/Histogram analysis分类
医药卫生引用本文复制引用
王一平,张剑茹,穆坤,张晔..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[J].中国医学装备,2024,21(4):66-70,5.基金项目
河北省卫生健康委员会课题(20200600) Project of Hebei Provincial Health Commission(20200600) （20200600）
