基于MRI影像组学在儿童脑肿瘤预后预测中的应用  

Application of MRI-Based Radiomics in Predicting Prognosis of Pediatric Brain Tumors

作　　者：胡晓渝 王树杰 杨明[1] HU Xiaoyu;WANG Shujie;YANG Ming(Department of Radiology,Children’s Hospital of Nanjing Medical University,Nanjing Jiangsu 210008,China)

机构地区：[1]南京医科大学附属儿童医院放射科,江苏南京210008

出　　处：《中国医疗设备》2024年第9期162-166,共5页China Medical Devices

基　　金：国际资金池合作项目(070119010);南京市科技局医疗卫生国际联合研发项目(202002055)。

摘　　要：中枢神经系统肿瘤是儿童非意外死亡的常见原因,尽管手术治疗联合放、化疗技术已经越来越规范化,但部分脑肿瘤患儿在治疗后仍存在复发转移、术后并发症、大脑认知功能降低等情况。为满足临床个体化治疗的需求,进一步提高患儿生活质量,结合临床信息及影像组学特征的预测模型已广泛应用于脑肿瘤患儿术前、术后的评估,通过人工智能的方法预测生存率、术后复发转移等以辅助临床制定治疗决策。目前该方法在成人脑肿瘤中已有较多研究,但儿童脑肿瘤相关研究中还不充分,本文就近年来影像组学预测模型在儿童脑肿瘤预后预测方面的研究现状及进展进行综述。Central nervous system tumors are a common cause of non-accidental death in children.Although surgical treatment combined with radiotherapy and chemotherapy has become more and more standardized,some children with brain tumors still have recurrence,metastasis,postoperative complications,and reduced brain cognitive function after treatment and so on.In order to meet the needs of clinical individualized treatment and further improve the quality of life of children,the prediction model combined with clinical information and radiomics features has been widely used in the preoperative and postoperative evaluation of children with brain tumors,and the artificial intelligence method was used to predict survival rate,postoperative recurrence and metastasis,so as to assist clinical treatment decisions.At present,there have been many studies using this method in adult brain tumors,but the research on children’s brain tumors is still insufficient.This article reviewed the research status and progress of radiomics prediction models in predicting the prognosis of children’s brain tumors in recent years.

关 键 词：脑肿瘤 影像组学 儿童 预测模型 MRI 

分 类 号：R445.4[医药卫生—影像医学与核医学] R739.41[医药卫生—诊断学]