CT-Based Radiomic Signature and Clinic Information Predicts Brain Metastasis in Lung Adenocarcinoma

被引：0
|
作者：
Ma, C. [1 ]
Dong, X. [1 ]
机构：
[1] Shandong First Med Univ & Shandong Acad Med Sci, Shandong Canc Hosp & Inst, Jinan 37, Peoples R China
来源：
MEDICAL PHYSICS | 2021年 / 48卷 / 06期
关键词：
D O I：
暂无
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
PO-GePV-I-
引用
收藏
页数：1
相关论文
共 50 条
  • [11] CT-Based Radiomics Model Predicts Occult Lymph Node Metastasis in Patients with Early-Stage Lung Adenocarcinoma: A Multicenter Study
    Yin, X.
    Cui, Y.
    Wen, J.
    Meng, X.
    Yu, J.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2024, 120 (02): : E83 - E83
  • [12] External validation of a prognostic CT-based radiomic signature in oropharyngeal squamous cell carcinoma
    Leijenaar, Ralph T. H.
    Carvalho, Sara
    Hoebers, Frank J. P.
    Aerts, Hugo J. W. L.
    Van Elmpt, Wouter J. C.
    Huang, Shao Hui
    Chan, Biu
    Waldron, John N.
    O'Sullivan, Brian
    Lambin, Philippe
    ACTA ONCOLOGICA, 2015, 54 (09) : 1423 - 1429
  • [13] CT-based Radiomics Features Predict Brain Metastasis in Small Cell Lung Cancer
    Wen, Q.
    Jian, Z.
    Linlin, W.
    Xue, M.
    Yong, Y.
    Xindong, S.
    Jinming, Y.
    RADIOTHERAPY AND ONCOLOGY, 2018, 127 : S1158 - S1159
  • [14] CT-Based Radiomics Features Predict Brain Metastasis in Small Cell Lung Cancer
    Wen, Q.
    Zhu, J.
    Qiu, Q.
    Bai, T.
    Meng, X.
    Yin, Y.
    Yu, J.
    MEDICAL PHYSICS, 2018, 45 (06) : E171 - E171
  • [15] A CT-Based Radiomic Feature Predicts EGFR Mutation and Response to Targeted Therapy in NSCLC
    Wu, L.
    Jiang, M.
    Peng, W.
    Pu, X.
    Chen, B.
    Li, J.
    JOURNAL OF THORACIC ONCOLOGY, 2021, 16 (03) : S608 - S608
  • [16] A novel CT-based radiomic nomogram for predicting the recurrence and metastasis of gastric stromal tumors
    Ao, Weiqun
    Cheng, Guohua
    Lin, Bin
    Yang, Rong
    Liu, Xuebin
    Zhou, Cheng
    Wang, Wenqi
    Fang, Zhaoxing
    Tian, Fengjuan
    Yang, Guangzhao
    Wang, Jian
    AMERICAN JOURNAL OF CANCER RESEARCH, 2021, 11 (06): : 3123 - 3134
  • [17] A novel risk signature for predicting brain metastasis in patients with lung adenocarcinoma
    Zhao, Yanyan
    Gu, Shen
    Li, Lingjie
    Zhao, Ruping
    Xie, Shujun
    Zhang, Jingjing
    Zhou, Rongjing
    Tu, Linglan
    Jiang, Lei
    Zhang, Shirong
    Ma, Shenglin
    NEURO-ONCOLOGY, 2023, 25 (12) : 2207 - 2220
  • [18] A PET/CT-based radiomic signature as a predictor of early progression in LA-Pancreatic Cancer
    Fiore, M.
    Cordelli, E.
    Trecca, P.
    Petrianni, G. M.
    D'Ercole, G.
    Coppola, R.
    Calcagni, M. L.
    Soda, P.
    Ramella, S.
    RADIOTHERAPY AND ONCOLOGY, 2022, 170 : S441 - S441
  • [19] Discovery and Validation of a CT-Based Radiomic Signature for Preoperative Prediction of Early Recurrence in Hypopharyngeal Carcinoma
    Li, Wenming
    Wei, Dongmin
    Wushouer, Aihemaiti
    Cao, Shengda
    Zhao, Tongtong
    Yu, Dexin
    Lei, Dapeng
    BIOMED RESEARCH INTERNATIONAL, 2020, 2020
  • [20] A comparative study for the evaluation of CT-based conventional, radiomic, combined conventional and radiomic, and delta-radiomic features, and the prediction of the invasiveness of lung adenocarcinoma manifesting as ground-glass nodules
    Lv, Y.
    Ye, J.
    Yin, Y. L.
    Ling, J.
    Pan, X. P.
    CLINICAL RADIOLOGY, 2022, 77 (10) : E741 - E748
12345