影像组学：开启乳腺癌淋巴结转移术前评估的新视野
Imaging: A New Vision for Preoperative Evaluation of Lymph Node Metastasis in Breast Cancer
DOI: 10.12677/acm.2026.161016, PDF,   
作者: 邹妍娜, 赵 玲, 李慕贞, 姜霁洋, 陈伟彬*：华北理工大学附属医院医学影像中心，河北 唐山
关键词: 乳腺癌；影像组学；腋窝淋巴结转移；Breast Cancer； Imaging Axillary； Lymph Node Metastasis
摘要: 乳腺癌是全球女性高发恶性肿瘤，腋窝淋巴结转移状态直接关联患者预后评估与个体化治疗方案制定，其术前精准评估对改善患者生存质量至关重要。传统超声、X线、MRI等影像学检查依赖医师主观经验判断，对微小或隐匿性转移灶诊断准确性有限，易导致误诊漏诊。影像组学通过高通量提取影像定量特征，结合机器学习、深度学习算法构建预测模型，可客观量化肿瘤生物学特征，显著提升淋巴结转移评估精准度。本文综述超声、X线、MRI影像组学在乳腺癌术前淋巴结转移评估中的研究进展，分析各模态技术优势与应用局限，为影像组学技术临床转化及优化乳腺癌诊疗策略提供参考。
Abstract: Breast cancer is a high-incidence malignant tumor among women all over the world. Axillary lymph node metastasis is directly related to the prognosis evaluation and individualized treatment plan, and its accurate preoperative evaluation is very important to improve the quality of life of patients. Traditional imaging examinations, such as ultrasound, X-ray and MRI, rely on doctors’ subjective experience and judgment, and the accuracy of diagnosis for tiny or occult metastases is limited, which easily leads to misdiagnosis and missed diagnosis. Imaging genomics can extract the quantitative features of images by Qualcomm, and build a prediction model by combining machine learning and deep learning algorithms, which can objectively quantify the biological features of tumors and significantly improve the accuracy of lymph node metastasis assessment. This paper reviews the research progress of ultrasound, X-ray and MRI imaging in preoperative lymph node metastasis assessment of breast cancer, analyzes the advantages and application limitations of each modality technology, and provides reference for clinical transformation of imaging technology and optimization of breast cancer diagnosis and treatment strategy.
文章引用：邹妍娜, 赵玲, 李慕贞, 姜霁洋, 陈伟彬. 影像组学：开启乳腺癌淋巴结转移术前评估的新视野[J]. 临床医学进展, 2026, 16(1): 112-118. https://doi.org/10.12677/acm.2026.161016

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