• Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, P. R. China;
ZHANG Yimin, Email: dryiminzhang@163.com; SUN Shengrong, Email: sun137@sina.com
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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.

Citation: ZHANG Jingwen, ZHANG Yimin, SUN Shengrong. Research progress of application in neoadjuvant therapy for breast cancer based on artificial intelligence and radiomics. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2024, 31(7): 881-885. doi: 10.7507/1007-9424.202401040 Copy