乳腺癌精准诊疗的重要工具——MRI定量分析技术被引量：1

MRI quantitative analysis technology:An important tool for the precise diagnosis and treatment of breast cancer

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摘要乳腺癌严重威胁女性的生命健康和生活质量,MRI是乳腺疾病诊断中重要的工具。随着近年来软硬件技术的提高,越来越多的MRI定量特征被挖掘出来,并较形态判读等非定量特征展现出来更大的优势。本文简要论述了包括常规MRI序列、MRI新技术新方法、MRI影像组学和深度学习等MRI定量分析方法在乳腺病灶良恶性鉴别、新辅助治疗疗效和预后等临床问题中的应用,同时提出了亟待解决的几个问题。乳腺癌的精准诊疗时代对影像学研究提出了更高的要求,希望本文可以启发研究者未来深入挖掘MRI的定量特征和定量分析方法,结合非定量特征,更好地推动MRI在乳腺癌诊疗中的应用,推动临床转化,提升乳腺癌患者的生存时间和生活质量。 Breast cancer is a serious threat to women's health and quality of life.MRI is an important tool in the diagnosis of breast diseases.With the improvement of software and hardware technology in recent years,more and more quantitative features of MRI have been found,and show greater advantages over non-quantitative features such as morphology.In this article,we briefly reviewed the application of MRI quantitative analysis methods,including conventional MRI sequences,MRI new techniques and methods,and MRI radiomics and deep learning,in the differential diagnosis of benign and malignant breast lesions,the efficacy of adjuvant and neoadjuvant therapy,and prognosis.At the same time,several problems were put forward.The era of accurate diagnosis and treatment of breast cancer has put forward higher requirements for MRI research.It is hoped to inspire researchers to further explore the quantitative features and quantitative analysis methods of MRI in the future,combined with non-quantitative features,to promote the application of MRI in the diagnosis and treatment of breast cancer,promote clinical transformation,and improve the survival time and quality of life for breast cancer patients.

作者蔺璐奕顾雅佳 LIN Luyi;GU Yajia(Department of Radiology,Shanghai Proton and Heavy Ion Center,Fudan University Cancer Hospital,Shanghai 201321,China;Shanghai Key Laboratory of Radiation Oncology,Shanghai 201321,China;Shanghai Engineering Research Center of Proton and Heavy Ion Radiation Therapy,Shanghai 201321,China)

机构地区上海市质子重离子医院上海市放射肿瘤学重点实验室上海质子重离子放射治疗工程技术研究中心

出处《磁共振成像》 CAS CSCD 北大核心 2024年第1期1-5,27,共6页 Chinese Journal of Magnetic Resonance Imaging

基金国家自然科学基金项目(编号:82071878) 上海“科技创新行动”计划医学创新研究专项(编号:21Y11910200) 吴阶平医学基金会临床科研专项资助基金项目(编号:320.6750.2022-6-2)。

关键词磁共振成像动态对比增强扩散加权成像合成磁共振成像压缩感知超快速技术体素内非相干运动成像扩散张量成像影像组学机器学习深度学习 magnetic resonance imaging dynamic contrast-enhanced diffusion weighted imaging synthetic magnetic resonance imaging compressed sensing ultrafast technology intravoxel incoherent motion diffusion tensor imaging radiomics machine learning deep learning