CT-Based Radiomics Combined with Genomics may Predict Survival in Esophageal Cancer Patients Receiving Definitive Chemoradiotherapy

被引：0
|
作者：
Cui, J. [1 ]
Li, L. [1 ]
Yuan, S. [2 ]
机构：
[1] Shandong First Med Univ & Shandong Acad Med Sci, Shandong Canc Hosp & Inst, Dept Radiat Oncol, Jinan, Peoples R China
[2] Shandong First Med Univ, Shandong Acad Med Sci, Shandong Canc Hosp & Inst, Dept Radiol, Jinan, Shandong, Peoples R China
来源：
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS | 2023年 / 117卷 / 02期
关键词：
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
2634
引用
收藏
页码：E290 / E290
页数：1
相关论文
共 50 条
  • [21] CT-based radiomics to predict the pathological grade of bladder cancer
    Gumuyang Zhang
    Lili Xu
    Lun Zhao
    Li Mao
    Xiuli Li
    Zhengyu Jin
    Hao Sun
    European Radiology, 2020, 30 : 6749 - 6756
  • [22] CT-based radiomics to predict the pathological grade of bladder cancer
    Zhang, Gumuyang
    Xu, Lili
    Zhao, Lun
    Mao, Li
    Li, Xiuli
    Jin, Zhengyu
    Sun, Hao
    EUROPEAN RADIOLOGY, 2020, 30 (12) : 6749 - 6756
  • [23] CT-based radiomics to predict muscle invasion in bladder cancer
    Gumuyang Zhang
    Zhe Wu
    Xiaoxiao Zhang
    Lili Xu
    Li Mao
    Xiuli Li
    Yu Xiao
    Zhigang Ji
    Hao Sun
    Zhengyu Jin
    European Radiology, 2022, 32 : 3260 - 3268
  • [24] MRI and CT Radiomics Features to Predict Overall Survival of Locally Advanced Esophageal Cancer after Definite Chemoradiotherapy
    Yu, N.
    Wan, Y.
    Zuo, L.
    Cao, Y.
    Qu, D.
    Liu, W., Jr.
    Deng, L.
    Zhang, T.
    Wang, W.
    Wang, J.
    Feng, Q.
    Zhou, Z.
    Xiao, Z.
    Bi, N.
    Niu, T.
    Wang, X.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2022, 114 (03): : E169 - E170
  • [25] CT-based delta-radiomics nomogram to predict pathological complete response after neoadjuvant chemoradiotherapy in esophageal squamous cell carcinoma patients
    Fan, Liyuan
    Yang, Zhe
    Chang, Minghui
    Chen, Zheng
    Wen, Qiang
    JOURNAL OF TRANSLATIONAL MEDICINE, 2024, 22 (01)
  • [26] CT-based radiomics models to predict progression in locally advanced head and neck cancer treated with definitive chemoradiation
    Bruixola, G.
    Dualde, D.
    Agusti, V.
    Nogue Infante, A.
    Jimenez Pastor, A.
    Bellvis Bataller, F.
    Fuster-Matanzo, A.
    Soriano, B.
    Fernandez, J. P.
    Molina, J. A.
    Grimalt Ferrer, N.
    Viala Monleon, A.
    Segui, V.
    Candia, L. M.
    Alfaro-Cervello, C.
    Tarazona Llavero, N.
    Alberich Bayarri, A.
    Cervantes, A.
    ANNALS OF ONCOLOGY, 2023, 34 : S569 - S569
  • [27] Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures
    Cui, Yongbin
    Li, Zhengjiang
    Xiang, Mingyue
    Han, Dali
    Yin, Yong
    Ma, Changsheng
    RADIATION ONCOLOGY, 2022, 17 (01)
  • [28] Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures
    Yongbin Cui
    Zhengjiang Li
    Mingyue Xiang
    Dali Han
    Yong Yin
    Changsheng Ma
    Radiation Oncology, 17
  • [29] PET/CT-based radiomics analysis may help to predict neoadjuvant chemotherapy outcomes in breast cancer
    Yang, Liping
    Chang, Jianfei
    He, Xitao
    Peng, Mengye
    Zhang, Ying
    Wu, Tingting
    Xu, Panpan
    Chu, Wenjie
    Gao, Chao
    Cao, Shaodong
    Kang, Shi
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [30] Pre-treatment CT radiomics to predict 3-year overall survival following chemoradiotherapy of esophageal cancer
    Larue, Ruben T. H. M.
    Klaassen, Remy
    Jochems, Arthur
    Leijenaar, Ralph T. H.
    Hulshof, Maarten C. C. M.
    Henegouwen, Mark I. van Berge
    Schreurs, Wendy M. J.
    Sosef, Meindert N.
    van Elmpt, Wouter
    van Laarhoven, Hanneke W. M.
    Lambin, Philippe
    ACTA ONCOLOGICA, 2018, 57 (11) : 1475 - 1481
12345