Radiomics-based prediction of response to induction chemotherapy in sinonasal cancer

被引:0
|
作者
Bologna, M. [1 ]
Calareso, G. [2 ]
Resteghini, C. [3 ]
Sdao, S. [2 ]
Montin, E. [4 ]
Corino, V. [1 ]
Mainardi, L. [1 ]
Licitra, L. [5 ]
Bossi, P. [3 ]
机构
[1] Politecn Milan, DEIB, Milan, Italy
[2] Fdn IRCCS Ist Nazl Tumori, Dept Radiol, Milan, Italy
[3] Fdn IRCCS Ist Nazl Tumori, Dept Head & Neck Med Oncol, Milan, Italy
[4] NYU, Sch Med, Dept Radiol, New York, NY USA
[5] Univ Milan, Dept Oncol & Ematooncol, Milan, Italy
关键词
D O I
10.1016/S0167-8140(19)30281-6
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
PO-115
引用
收藏
页码:59 / 59
页数:1
相关论文
共 50 条
  • [1] Relevance of apparent diffusion coefficient features for a radiomics-based prediction of response to induction chemotherapy in sinonasal cancer
    Bologna, Marco
    Calareso, Giuseppina
    Resteghini, Carlo
    Sdao, Silvana
    Montin, Eros
    Corino, Valentina
    Mainardi, Luca
    Licitra, Lisa
    Bossi, Paolo
    NMR IN BIOMEDICINE, 2022, 35 (04)
  • [2] Fusion Radiomics-Based Prediction of Response to Neoadjuvant Chemotherapy for Osteosarcoma
    Zheng, Fei
    Yin, Ping
    Liang, Kewei
    Wang, Yujian
    Hao, Wenhan
    Hao, Qi
    Hong, Nan
    ACADEMIC RADIOLOGY, 2024, 31 (06) : 2444 - 2455
  • [3] Predicting Response of Lung Cancer with Definitive Radiation Therapy: A Radiomics-Based Prediction Model
    Yan, M.
    Zhang, Z.
    Wang, R.
    Yu, J.
    Tian, J.
    Zhang, S.
    Yang, C.
    Zhao, L.
    Wang, Q.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 111 (03): : E122 - E123
  • [4] Evaluation of Multiparametric MRI Radiomics-Based Nomogram in Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Two-Center study
    Wang, Xiaolin
    Hua, Hui
    Han, Junqi
    Zhong, Xin
    Liu, Jingjing
    Chen, Jingjing
    CLINICAL BREAST CANCER, 2023, 23 (06) : e331 - e344
  • [5] Radiomics-Based Outcome Prediction Model Development ForPancreatic Cancer
    Zheng, D.
    Baine, M.
    Zhang, C.
    Du, Q.
    Liang, X.
    Kamal, A.
    Yu, H.
    MEDICAL PHYSICS, 2018, 45 (06) : E410 - E411
  • [6] Radiomics-Based Features for Prediction of Histological Subtypes in Central Lung Cancer
    Li, Huanhuan
    Gao, Long
    Ma, He
    Arefan, Dooman
    He, Jiachuan
    Wang, Jiaqi
    Liu, Hu
    FRONTIERS IN ONCOLOGY, 2021, 11
  • [7] Development of a Radiomics-Based Survival Prediction Model for Cervical Cancer Patients
    Aristophanous, M.
    Cardenas, C. E.
    Ho, J. C.
    Lee, J. S.
    Court, L. E.
    Eifel, P. J.
    Klopp, A. H.
    Jhingran, A.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2016, 96 (02): : S72 - S72
  • [8] Radiomics-Based Prediction Model for Outcome of Radioembolization in Metastatic Colorectal Cancer
    Wolfgang Roll
    Max Masthoff
    Michael Köhler
    Kambiz Rahbar
    Lars Stegger
    David Ventura
    Haluk Morgül
    Jonel Trebicka
    Michael Schäfers
    Walter Heindel
    Moritz Wildgruber
    Philipp Schindler
    CardioVascular and Interventional Radiology, 2024, 47 : 462 - 471
  • [9] A radiomics-based nomogram for preoperative T staging prediction of rectal cancer
    Lin, Xue
    Zhao, Sheng
    Jiang, Huijie
    Jia, Fucang
    Wang, Guisheng
    He, Baochun
    Jiang, Hao
    Ma, Xiao
    Li, Jinping
    Shi, Zhongxing
    ABDOMINAL RADIOLOGY, 2021, 46 (10) : 4525 - 4535
  • [10] A radiomics-based nomogram for preoperative T staging prediction of rectal cancer
    Xue Lin
    Sheng Zhao
    Huijie Jiang
    Fucang Jia
    Guisheng Wang
    Baochun He
    Hao Jiang
    Xiao Ma
    Jinping Li
    Zhongxing Shi
    Abdominal Radiology, 2021, 46 : 4525 - 4535