[1]基于CT影像组学模型预测弥漫大 B 细胞淋巴瘤一线化疗的疗效.中华肿瘤杂志.2023.45(5):438-444. [2]基于多模态MRI的影像组学与临床危险因素联合模型对膀胱癌病理学分级的术前预测价值[J].中华解剖与临床杂志,2023,28(07):460-468. [3]基于增强CT的影像组学模型对肾嗜酸细胞腺瘤与肾透明细胞癌的鉴别诊断[J].中华解剖与临床杂志,2024, 29(2):105-110. [4]Hongxia Yan, MMa, * , Jianxin Zhang, MDb, Xinfeng Cai, MMa , Zhiying Hao, MMa , Zhe Guan, MMc.Severe immediate hypersensitivity to gadolinium contrast agent after targeted treatment in a patient with alveolar soft part sarcoma A case report and review of literature.Medicine.(2023)102:46 [5]Fan-Xiu Meng 1, Jian-Xin Zhang 2, Ya-Rong Guo 3, Ling-Jie Wang 4, He-Zhao Zhang 5, Wen-Hao Shao 6, Jun Xu 7。Contrast-Enhanced CT-Based Deep Learning Radiomics Nomogram for the Survival Prediction in Gallbladder Cancer,Acad Radiol. 2024 Jun;31(6):2356-2366. doi: 10.1016/j.acra.2023.11.027. Epub 2023 Dec 6. [6]Multi-sequence MRI-based radiomics model to preoperatively predict the WHO/ISUP grade of clear Cell Renal Cell Carcinoma: a two-center study.Ruihong Chen1,3, Qiaona Su2,3, Yangyang Li1,3, Pengxin Shen1,3, Jianxin Zhang2*and Yan Tan1,4*.BMC Cancer.2024(24) :1176–1189. 参编著作: [1]《医学影像学》编委(军医出版社2013.8)。 [2]《定量DCE-MRI》编委(人民卫生出版社2019.6)。 [3]《中国肿瘤整合诊治技术指南(CACA)》,2023.5.天津科学技术出版社。 [4]《胸部影像学,放射病例Q&A》(参译,天津科技翻译出版公司,2022.11) 近3年参与制定3部指南及专家共识: [1]《直肠癌MR扫描及结构式报告规范专家共识,》中华放射学杂志,2021.55(11), 1121-1127,共同作者. [2]《中国肿瘤整合诊治技术指南(CACA)》,2023.5.天津科学技术出版社. [3]《中国肺癌骨转移临床诊疗指南(2024版)》2024.5.中国胸心血管外科临床杂志. |