基于AI及影像组学在乳腺癌新辅助治疗中应用的研究进展

Research progress of application in neoadjuvant therapy for breast cancer based on artificial intelligence and radiomics

目的总结现阶段基于人工智能(artificial intelligence,AI)及影像组学在乳腺癌新辅助治疗疗效预测应用的研究进展。方法检索中国知网、谷歌学术、万方数据库及PubMed数据库近5年国内外有关AI及影像组学在乳腺癌新辅助治疗中应用的研究,并对相关研究进展进行综述。结果AI在医学影像领域发展迅速,与AI相结合的钼靶、超声及磁共振成像技术在乳腺癌诊疗应用研究中有不同程度的深入及拓展。在与AI相结合的钼靶研究中,大多是利用钼靶对微钙化的高敏感性来提高对乳腺癌早期检测及诊断评判的准确性,从而达到早发现、早诊断的临床目的。但在乳腺癌新辅助疗效预测方面,与AI相结合进行模型研究的更多则是超声及磁共振成像,且依旧热度不减。结论在乳腺癌新辅助治疗的监测中,使用设计合适的AI及影像组学模型,能够充分发挥其对新辅助治疗疗效的预测作用,有助于指导医师进行临床诊疗和评估乳腺癌患者的预后情况。

Objective To summarize the current research progress in the prediction of the efficacy of neoadjuvant therapy of breast cancer based on the application of artificial intelligence(AI)and radiomics.Method The researches on the application of AI and radiomics in neoadjuvant therapy of breast cancer in recent 5 years at home and abroad were searched in CNKI,Google Scholar,Wanfang database and PubMed database,and the related research progress was reviewed.Results AI had developed rapidly in the field of medical imaging,and molybdenum target,ultrasound and magnetic resonance imaging combined with AI had been deepened and expanded in different degrees in the application research of breast cancer diagnosis and treatment.In the research of molybdenum target combined with AI,the high sensitivity of molybdenum target to microcalcification was mostly used to improve the accuracy of early detection and diagnosis of breast cancer,so as to achieve the clinical purpose of early detection and diagnosis.However,in terms of prediction of neoadjuvant efficacy research of breast cancer,ultrasound and magnetic resonance imaging combined with AI were more prevalent,and their popularity remained unabated.Conclusion In the monitoring of neoadjuvant therapy for breast cancer,the use of properly designed AI and radiomics models can give full play to its role in the predicting the curative effect of neoadjuvant therapy,and help to guide doctors in clinical diagnosis and treatment and evaluate the prognosis of breast cancer patients.