摘要
影像组学是集多模态医学影像处理分析技术与影像资料于一体,早期被定义为医学影像(如CT、PET、MRI、超声等)对病变表型特征的提取。这些特征包括病变的形状、体积、纹理、衰减,以及许多不明显或数量过多的特征,通过对提取的有价值的影像学特征来进行分析,进而在疾病的早期诊断、良恶性肿瘤鉴别、后期精准治疗以及疗效评估中发挥重要作用。近年来,基于PET/CT、MRI、CT等多种影像学方法的影像组学逐渐应用于肺癌的诊断、鉴别诊断以及疗效与预后的评估。本文对多模态影像组学在肺癌中的研究进展进行综述。
Radiomics is a combination of multi-modal medical image processing and analysis technology and image data.It was defined as the extraction of pathological phenotypic features from medical images(such as CT,PET,MRI,ultrasound,etc.)in the early stage.These features include the shape,volume,texture,attenuation of the lesion,as well as many obscure or excessive features.Through the analysis of the extracted valuable imaging features,they play an important role in the early diagnosis of the disease,the differentiation of benign and malignant tumors,the later precision treatment,and the evaluation of efficacy.In recent years,imaging omics based on PET/CT,MRI,CT and other imaging methods has been gradually applied in the diagnosis and differential diagnosis of lung cancer,as well as the evaluation of efficacy and prognosis.This paper reviews the progress of multimodal imaging in lung cancer.
作者
齐淑娜
王广丽
QI Shu-na;WANG Guang-li(Department of Radiology,The First Affiliated Hospital of Shandong First Medical University&Shandong Provincial Qianfoshan Hospital,Jinan250014,Shandong Province,China;Shandong First Medical University&Shandong Academy of Medical Sciences,Jinan 250117,Shandong Province,China)
出处
《中国CT和MRI杂志》
2022年第12期181-183,共3页
Chinese Journal of CT and MRI
基金
山东省自然科学基金项目(ZR2015HL096)。
