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作 者:李宇飞 秦川月 王宏勤[3] LI Yu-fei;QIN Chuan-yue;WANG Hong-qin(The First Clinical Medical College of Shanxi Medical University,Taiyuan 030000,Shanxi Province,China;School of Basic Medical Sciences,Shanxi Medical University,Taiyuan 030000,Shanxi Province,China;Department of Neurosurgery,The First Affiliated Hospital of Shanxi Medical University,Taiyuan 030000,Shanxi Province,China)
机构地区:[1]山西医科大学第一临床医学院,山西太原030000 [2]山西医科大学基础医学院,山西太原030000 [3]山西医科大学附属第一医院神经外科,山西太原030000
出 处:《中国CT和MRI杂志》2023年第5期171-173,共3页Chinese Journal of CT and MRI
摘 要:脑肿瘤是指发生于人体颅腔内部的肿瘤疾病,在各类单发脑肿瘤中,又以脑胶质瘤和脑转移瘤等脑恶性肿瘤较常见。二者在成人中的发病率逐年上升。随着医学影像学的发展,影像组学分析有了显著的进展,其中以中枢神经系统恶性肿瘤最为显著。影像组学通过从放射影像中提取并分析大量高级的定量影像学特征,这些特征被用来对脑恶性肿瘤建立诊断,明确分级,评估预后等建立预测模型。本文对相关研究进行综述。Brain tumor is a kind of tumor disease that occurs in human skull cavity.Among all kinds of single brain tumors,glioma and metastatic tumor are the most common.The morbidity of both in adults increased year by year.With the development of medical imaging,radiomics analysis has made significant progress,of which the central nervous system malignant tumor is the most prominent.Radiomics extracts and analyzes a large number of advanced quantitative imaging features from radiographic images that are used to establish predictive models for the diagnosis,grading,and prognosis of brain malignancies.This article reviews the relevant research.
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