摘要
胰腺癌(PC)是消化系统中恶性程度最高的肿瘤之一,MRI影像组学可通过量化分析肿瘤异质性特征,为PC的精准诊疗提供了新视角。基于机器学习的MRI影像组学已用于PC的鉴别诊断、病理分化、淋巴结转移监测、预后预测、免疫微环境评估、分子生物表达及基因突变预测等方面,能够辅助临床制定个性化治疗策略。就基于机器学习的MRI影像组学在PC诊疗中的进展进行综述。
Pancreatic cancer(PC)is one of the most malignant tumors of the digestive system.MRI radiomics can quantitatively analyze tumor heterogeneity features,providing a new perspective for precision diagnosis and treatment of PC.Machine learning-based MRI radiomics has been applied in various aspects of PC management,including differential diagnosis,pathological grading,lymph node metastasis detection,prognosis prediction,immune microenvironment assessment,and predictions of molecular biological expression and gene mutations.These applications can assist clinicians in formulating personalized treatment strategies.This article presents a review of recent progress in the use of machine learning-based MRI radiomics in the diagnosis and treatment of PC.
作者
杨声宁
杜秀梅
范伟雄
张添辉(审校)
YANG Shengning;DU Xiumei;FAN Weixiong;ZHANG Tianhui(Department of Radiology,Meizhou People’s Hospital,Meizhou 514031,China)
出处
《国际医学放射学杂志》
2025年第6期706-711,共6页
International Journal of Medical Radiology
关键词
胰腺癌
影像组学
机器学习
磁共振成像
Pancreatic cancer
Radiomics
Machine learning
Magnetic resonance imaging
