摘要
非哺乳期乳腺炎(non-puerperal mastitis,NPM)为发生在女性非哺乳期的炎性疾病,病因不明,易复发,常规抗生素效果欠佳,反复破溃可形成窦道等并发症,部分与乳腺恶性疾病不易鉴别。MRI可对NPM的诊断及与乳腺恶性疾病的鉴别提供较大帮助,为临床确定手术术式提供参考。目前运用常规与扩散MRI鉴别不同类型NPM,以及NPM与恶性肿瘤之间鉴别的相关综述尚未见报道,故本文就常规与扩散MRI在NPM诊断、分型与乳腺癌鉴别,及联合影像组学等人工智能技术的应用现状及研究进展进行综述,以期为NPM的临床诊疗方案提供借鉴。
Non-puerperal mastitis(NPM)is an inflammatory disease occurring in female non-lactation period,has an unknown etiology and is prone to recurrence.Conventional antibiotics has limited efficacy,repeated rupture can lead to complications such as sinus tracts,and some cases are difficult to distinguish from malignant breast diseases.MRI can be of great help to the diagnosis of NPM and the differentiation from malignant breast diseases,and provide a reference for clinical determination of surgical procedures.At present,there are no relevant literature reviews on the application of conventional and diffusion MRI in differentiating various types of NPM and distinguishing NPM from malignant tumors.This article reviews the current status and research progress of conventional and diffusion magnetic resonance imaging in the diagnosis,classification and differentiation from breast cancer of NPM as well as the application of the artificial intelligence technologies such as combined radiomics,to improve reference for the clinical diagnosis of NPM.
作者
武玥琪
赵思奇
李远飞
张莫云
张丽娜
WU Yueqi;ZHAO Siqi;LI Yuanfei;ZHANG Moyun;ZHANG Lina(Department of Radiology,the First Affiliated Hospital of Dalian Medical University,Dalian 116011,China)
出处
《磁共振成像》
北大核心
2025年第7期160-165,共6页
Chinese Journal of Magnetic Resonance Imaging
关键词
非哺乳期乳腺炎
乳腺癌
磁共振成像
扩散成像
影像组学
深度学习
non puerperal mastitis
breast cancer
magnetic resonance imaging
diffusion imaging
radiomics
deep learning
