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作 者:杨泽亭 吴慧[1] 高鸿雁 刘娜 刘嘉睿 YANG Zeting;WU Hui;GAO Hongyan;LIU Na;LIU Jiarui(Department of Radiology,Affiliated Hospital of Inner Mongolia Medical University,Hohhot 010050,China)
机构地区:[1]内蒙古医科大学附属医院影像诊断科,呼和浩特010050
出 处:《磁共振成像》2025年第3期222-227,共6页Chinese Journal of Magnetic Resonance Imaging
基 金:内蒙古自治区自然科学基金项目(编号:2021MS08026);内蒙古医科大学附属医院重点实验室开放基金项目(编号:2022NYFYSY006)。
摘 要:生境成像技术基于肿瘤病理、血流灌注、分子特征等差异,通过对肿瘤亚区进行精准划分,不仅能够表征肿瘤内部空间异质性,还可无创地映射其病理生理微环境特征与分子生物学行为之间的差异,为揭示肿瘤进化机制及精准诊疗提供可视化依据。本文综述了生境成像技术及其在神经系统、呼吸系统、消化系统、生殖系统等多系统肿瘤中的研究进展,系统梳理了该技术在预后预测、治疗反应评估及分子特征预测等方面的应用价值。未来,多模态影像融合、纵向动态追踪肿瘤演化及人工智能辅助分析将成为突破方向,有望推动生境成像从研究工具向临床常规转化,最终实现肿瘤诊疗的精准化与个体化。Based on differences in tumor pathology,blood perfusion,molecular characteristics,and other differences,habitat imaging technology can not only characterize the internal spatial heterogeneity of tumors,but also map the differences between pathophysiological microenvironment characteristics and molecular biological behaviors non-invasive,providing visual basis for revealing tumor evolution mechanism and accurate diagnosis and treatment.In this review,habitat imaging technology and its research progress in multi-system tumors such as nervous system,respiratory system,digestive system and reproductive system were reviewed,and the application value of this technology in prognostic prediction,therapeutic response evaluation and molecular characteristics prediction was systematically reviewed.In the future,multi-modal image fusion,longitudinal dynamic tracking of tumor evolution and artificial intelligence-assisted analysis will become breakthroughs,which is expected to promote the transformation of habitat imaging from a research tool to a clinical routine,and finally realize the precision and individualized diagnosis and treatment of tumors.
分 类 号:R445.2[医药卫生—影像医学与核医学] R73[医药卫生—诊断学]
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