摘要
胶质母细胞瘤(GBM)是成人中最常见的原发性恶性肿瘤,基本治疗手段是根除性手术同步术后放化疗,连续的磁共振检查是GBM术后评估的主要方法。然而,基于传统的影像图像,很难区分标准治疗后的肿瘤复发和假性进展(PSP),这限制了GBM患者术后进一步治疗方案的制订。影像组学可以从多模式医学图像中进行高通量的特征提取,将图像信息转换为数字信息并建立模型进行疾病预测,为二者的鉴别提供新的思路。目前还没有研究系统地总结影像组学在GBM术后复发和PSP方面的鉴别应用,因此本文就影像组学在区分GBM术后复发和PSP方面的研究进展进行综述。
Glioblastoma(GBM)is the most common primary malignant tumor in adults.The basic treatment is postoperative concurrent radiotherapy and chemotherapy after eradicating surgery,and continuous magnetic resonance examination is the main method for postoperative evaluation of GBM.However,based on traditional imaging,it is difficult to distinguish pseudo-progression(PsP)from tumor recurrence after standard treatment,which limits the development of further postoperative treatment options for GBM patients.Radiomics can extract highthroughput features from multi-mode medical images,convert image information into digital information and build models for disease prediction,which provides a new idea for the identification of the two.No studies have systematically summarized the application of radiomics in the differentiation between postoperative GBM recurrence and PSP.Therefore,this article reviews the progress of radiomics in the differentiation between postoperative GBM recurrence and PSP.
作者
禹雯婧
杨慧敏
刘艳美
李捷
王倩倩
刘新疆
YU Wenjing;YANG Huimin;LIU Yanmei;LI Jie;WANG Qianqian;LIU Xinjiang(Department of Radiology,Affiliated Hospital of Binzhou Medical College 2 Department of Radiology,Shanghai Pudong Hospital(Pudong Hospital of Fudan University),Shanghai 201399,China)
出处
《中国医学计算机成像杂志》
CSCD
北大核心
2023年第5期594-598,共5页
Chinese Computed Medical Imaging
基金
浦东新区卫生健康委2020年度卫生科技项目(PW2020A-35)
2021年上海市卫生健康委员会卫生行业临床研究专项立项项目(202140266)。
关键词
影像组学
胶质母细胞瘤
复发
假性进展
鉴别诊断
Radiomics
Glioblastoma
Recurrence
Pseudo-progression
Differential diagnosis