山东医药2025，Vol.65Issue(5)：143-147,5.DOI:10.3969/j.issn.1002-266X.2025.05.030
深度学习影像组学在乳腺癌腋窝淋巴结状态评估中的应用研究进展
Research progress of deep learning radiomics in predicting axillary lymph node metastasis of breast cancer
摘要
Abstract
Traditional imaging techniques still have certain limitations in assessing axillary lymph node metastasis(ALNM)in breast cancer.Deep learning radiomics(DLR),through multilayer artificial neural networks,can extract and analyze features from various imaging modalities that are invisible to the naked eye and quantify tumor heterogeneity,show-ing great potential in evaluating axillary lymph node metastasis in breast cancer.DLR based on ultrasound(US),comput-ed tomography(CT),and magnetic resonance imaging(MRI)enables a noninvasive preoperative assessment of axillary lymph node metastasis.Understanding the application of DLR in assessing axillary lymph node(ALN)status in breast can-cer may contribute to the early diagnosis and the formulation of subsequent treatment decisions.关键词
深度学习/超声/计算机断层扫描/磁共振成像/影像组学/乳腺癌/腋窝淋巴结Key words
deep learning/ultrasonography/computed tomography/magnetic resonance imaging/radiomics/breast carcinoma/axillary lymph nodes分类
临床医学引用本文复制引用
陈莹,于海童,李芹,谢福才,牛庆亮..深度学习影像组学在乳腺癌腋窝淋巴结状态评估中的应用研究进展[J].山东医药,2025,65(5):143-147,5.基金项目
山东省自然科学基金项目(ZR202103060229). （ZR202103060229）
