摘要
影像组学采用无创的方法,通过深度挖掘影像的纹理特征和量化肿瘤的异质性来反映患者的预后及评估肿瘤的生物学特征。近年来,随着图像处理及人工智能的不断发展,影像组学技术已经广泛应用于结直肠癌(CRC)患者的术前评估、疗效预测、个体化治疗方案的制订。本文将对影像组学技术在CRC诊疗中的应用进展进行综述。
Radiomics uses non-invasive method to reflect the prognosis of patients and evaluate the biological characteristics of tumors by deep mining of image texture features and quantifying the heterogeneity of tumors.Recently,with the continuous development of image processing and artificial intelligence,radiomics technology has been widely used in preoperative evaluation,curative effect prediction,and individualized treatment regimens for patients with colorectal cancer(CRC).This article will review the application progress of radiomics technology in the diagnosis and treatment of CRC.
作者
肖园园
景德龙
韩忠杰
娄晶
XIAO Yuanyuan;JING Delong;HAN Zhongjie;LOU Jing(Jinan Seventh People's Hospital,Jinan 250100,China;不详)
出处
《中国医学创新》
CAS
2023年第29期184-188,共5页
Medical Innovation of China
基金
山东省中医药科技项目(M-2023044)。
关键词
结直肠癌
影像组学
磁共振成像
机器学习
Colorectal cancer
Radiomics
Magnetic resonance imaging
Machine learning