机译:MRI特征可预测弥漫性低级神经胶质瘤的存活率和分子标志物
Cent S Univ, Dept Neurol, Xiangya Hosp 1, 87 Xiangya Rd, Changsha 410008, Hunan, Peoples R China;
McGill Univ, Med Phys Unit, Montreal, PQ, Canada;
Hosp Univ Penn, Dept Radiol, 3400 Spruce St, Philadelphia, PA 19104 USA;
Univ Penn, Dept Bioengn, Philadelphia, PA 19104 USA;
Cent S Univ, Xiangya Hosp 1, Dept Radiol, Changsha, Hunan, Peoples R China;
Univ Penn, Med Scientist Training Program, Perelman Sch Med, Philadelphia, PA 19104 USA;
Cent S Univ, Dept Radiol, Xiangya Hosp 2, Changsha, Hunan, Peoples R China;
Cent S Univ, Dept Neurol, Xiangya Hosp 1, 87 Xiangya Rd, Changsha 410008, Hunan, Peoples R China;
Cent S Univ, Xiangya Hosp 1, Dept Radiol, Changsha, Hunan, Peoples R China;
Cent S Univ, Xiangya Sch Med, Canc Res Inst, Changsha, Hunan, Peoples R China;
Cent S Univ, Dept Pathol, Xiangya Hosp 1, Changsha, Hunan, Peoples R China;
Hosp Univ Penn, Dept Pathol & Lab Med, 3400 Spruce St, Philadelphia, PA 19104 USA;
Cent S Univ, Xiangya Hosp 2, Dept Neurol, 139 Middle Renmin Rd, Changsha 410011, Hunan, Peoples R China;
1p/19q codeletion; IDH1 mutation; lower-grade gliomas; MR imaging; texture analysis;
机译:MRI特征通过机器学习方法预测低级神经胶质瘤中的p53状态
机译:多射点和多舰扩散特征有助于预测较低级Gliomas的分子信息,等级和生存率:可行性研究
机译:MR成像功能可预测弥漫性低级胶质瘤的存活率和分子谱
机译:使用T2加权MRI预测胶质瘤中的分子亚型
机译:基于模型的弥漫性胶质瘤分类,分级和患者存活预测方法
机译:MRI特征可预测弥漫性低级神经胶质瘤的存活率和分子标志物
机译:MRI功能通过机器学习方法预测较低级胶质瘤的P53状态