人工智能在垂体瘤MRI中的研究进展  

Research progress of artificial intelligence in pituitary tumor magnetic resonance imaging

作　　者：贾文静 王丽君[1] JIA Wenjing;WANG Lijun(Department of Radiology,the First Affiliated Hospital of Dalian Medical University,Dalian 116011,China;Department of Radiology,Dandong Central Hospital,Dandong 118000,China)

机构地区：[1]大连医科大学附属第一医院放射科,大连116011 [2]丹东市中心医院放射科,丹东118000

出　　处：《磁共振成像》2024年第9期162-166,共5页Chinese Journal of Magnetic Resonance Imaging

基　　金：辽宁省医学教育研究项目(编号:2022-N005-05)。

摘　　要：垂体瘤是神经系统常见的肿瘤之一,MRI能够精确展现肿瘤的大小、形态、位置和侵袭性。随着科技的飞速发展,影像组学和深度学习成为人工智能在医疗领域中的热点,且在垂体瘤MRI方面的研究日渐增多。人工智能在垂体瘤MRI对治疗方案的选择以及预后预测方面发挥着重要作用,为垂体瘤的诊断和治疗提供了有力的临床依据。本文就人工智能在垂体瘤MRI中的研究进展进行综述,以期为垂体瘤患者治疗方案选择及预后预测提供帮助。Pituitary tumor is one of the common tumors of the nervous system,and MRI can accurately show the size,shape,location,and invasiveness of the tumor.With the rapid development of technology,imagingomics and deep learning have become hot topics for artificial intelligence in the medical field,and research on pituitary tumor MRI is increasing.Artificial intelligence plays an important role in the selection of treatment options and prognosis prediction for pituitary tumor MRI,providing strong clinical evidence for the diagnosis and treatment of pituitary tumors.This review summarizes the research progress of artificial intelligence in pituitary tumor MRI.This review will provide assistance in the selection of treatment options and prediction of prognosis for patients with pituitary tumors.

关 键 词：垂体瘤 磁共振成像 人工智能 影像组学 深度学习 手术选择 预后预测 

分 类 号：R445.2[医药卫生—影像医学与核医学] R736.4[医药卫生—诊断学]