MRI影像组学在乳腺肿瘤诊疗中的应用进展
Overview of MRI-based radiomics in breast cancer diagnosis and treatment
李晓光 1田静 1张春来 1谢宗玉 2王毅3
作者信息
- 1. 陆军军医大学大坪医院放射科,重庆 400042
- 2. 蚌埠医科大学第一附属医院放射科,蚌埠 233004
- 3. 陆军军医大学大坪医院核医学科,重庆 400042
- 折叠
摘要
乳腺癌已成为全世界女性发病率和致死率最高的恶性肿瘤.提供准确高效的诊断、风险分层和及时调整治疗策略是实现乳腺癌精准医疗的重要步骤.影像组学是一种新兴的、高通量的图像定量分析方法,旨在从临床医学图像中提取可挖掘的高维数据.目前来自影像医学不同领域的各种研究都展现出影像组学在提高乳腺癌临床决策方面的潜力.本文就近几年磁共振成像(magnetic resonance imaging,MRI)影像组学在鉴别乳腺良恶性病变、预测乳腺癌分子分型、新辅助化疗疗效、腋窝淋巴结状态、Ki-67表达、预后评估及复发风险等方面的研究进展进行论述,并阐述目前存在的局限性和面临的挑战,以期为优化治疗决策、促进乳腺癌精准医学的发展提供新思路.
Abstract
Breast cancer has become the world's highest incidence and mortality of female malignant tumors. Providing accurate and efficient diagnosis,risk stratification and timely adjustment of treatment strategies is an important step in achieving precision medicine for breast cancer. Radiomics is a new and high-throughput image quantitative analysis method,which aims to extract mineable high-dimensional data from clinical medical images. Currently,various studies from different fields of imaging medicine have shown the potential of radiomics in improving clinical decision-making of breast cancer. This paper will introduce the application of MRI radiomics in breast cancer differentiation,molecular subtyping prediction,efficacy evaluation of neoadjuvant chemotherapy,status of axillary lymph nodes,Ki-67 expression,prognosis assessment and recurrence risk,and discuss the limitations and challenges of current radiomics,in order to provide new ideas for optimizing treatment decisions and promoting the development of precision medicine for breast cancer.
关键词
乳腺肿瘤/磁共振成像/影像组学/生境成像/诊断/预测/预后Key words
breast tumor/magnetic resonance imaging/radiomics/habitat imaging/diagnosis/prediction/prognosis引用本文复制引用
基金项目
重庆市卫生健康委医学科研项目(2022WSJK029)
陆军军医大学临床医学研究项目(2022XLC08)
出版年
2024
国家科技期刊平台
NSTL
万方数据