Machine Learning-Based Analysis of Cachexia and Survival in HNSCC via[18F]FDG PET/CT Metabolic Profiling

被引:0
|
作者
Yu, J. [1 ]
Spielvogel, C. [1 ]
Haberl, D. [1 ]
Jiang, Z. [1 ]
Ferrara, D. [2 ]
Oezer, O. [1 ]
Pusitz, S. [1 ]
Kandathil, S. [3 ]
Yildiz, E. [3 ]
Kumpf, K. [4 ]
Wu, T. [5 ]
Zhang, Z. [6 ]
Chen, Y. [7 ]
Gruenert, S. [1 ]
Hacker, M. [1 ]
Vraka, C. [1 ]
机构
[1] Med Univ Vienna, Div Nucl Med, Dept Biomed Imaging & Image Guided Therapy, Vienna, Austria
[2] Med Univ Vienna, QIMP Team, Vienna, Austria
[3] Med Univ Vienna, Dept Otorhinolaryngol Head & Neck Surg, Vienna, Austria
[4] Med Univ Vienna, IT4Sci, Vienna, Austria
[5] Cent South Univ, Dept Cardiol, Xiangya Hosp, Changsha, Peoples R China
[6] Hebei Med Univ, Dept Nucl Med, Hosp 4, Shijiazhuang, Hebei, Peoples R China
[7] Med Univ Vienna, Teaching Ctr, Vienna, Austria
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
OP-104
引用
收藏
页码:S48 / S49
页数:2
相关论文
共 50 条
  • [1] Safety and Efficacy of the Metabolic Profiling of the BIMRT Utilizing 18F FDG PET-CT
    Dang, Ya-Zheng
    Zhang, Dong-Xian
    Wang, Guo-Dong
    Zhao, Hong-Liang
    Huang, Shi-Gao
    Li, Jie
    TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2020, 19 : 1 - 8
  • [2] Robustness of radiomic features in [18F]-FDG PET/CT and [18F]-FDG PET/MR
    Vuong, D.
    Bogowicz, M.
    Huellner, M.
    Veit-Haibach, P.
    Andratschke, N.
    Unkelbach, J.
    Guckenberger, M.
    Tanadini-Lang, S.
    JOURNAL OF THORACIC ONCOLOGY, 2018, 13 (04) : S41 - S41
  • [3] Deep learning-based combination of [18F]-FDG PET and CT images for producing pulmonary perfusion image
    Gu, Jiabing
    Qiu, Qingtao
    Zhu, Jian
    Cao, Qiang
    Hou, Zhen
    Li, Baosheng
    Shu, Huazhong
    MEDICAL PHYSICS, 2023, 50 (12) : 7779 - 7790
  • [4] Staging with [18F]FDG PET/CT
    Iqbal, Ramsha
    Aras, Tuba
    Mammatas, Lemonitsa
    Vogel, Wouter V.
    Oprea-Lager, Daniela E.
    Verheul, Hendrik M.
    Boellaard, Ronald
    van Oordt, Catharina W. Menke-van der Houven
    CANCER RESEARCH, 2019, 79 (13)
  • [5] [18F]FDG PET/CT outperforms [18F]FDG PET/MRI in differentiated thyroid cancer
    Vrachimis, Alexis
    Burg, Matthias Christian
    Wenning, Christian
    Allkemper, Thomas
    Weckesser, Matthias
    Schaefers, Michael
    Stegger, Lars
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2016, 43 (02) : 212 - 220
  • [6] [18F]FDG PET/CT outperforms [18F]FDG PET/MRI in differentiated thyroid cancer
    Alexis Vrachimis
    Matthias Christian Burg
    Christian Wenning
    Thomas Allkemper
    Matthias Weckesser
    Michael Schäfers
    Lars Stegger
    European Journal of Nuclear Medicine and Molecular Imaging, 2016, 43 : 212 - 220
  • [7] Interchangeability of radiomic features between [18F]-FDG PET/CT and [18F]-FDG PET/MR
    Diem Vuong
    Tanadini-Lang, Stephanie
    Huellner, Martin W.
    Veit-Haibach, Patrick
    Unkelbach, Jan
    Andratschke, Nicolaus
    Kraft, Johannes
    Guckenberger, Matthias
    Bogowicz, Marta
    MEDICAL PHYSICS, 2019, 46 (04) : 1677 - 1685
  • [8] Robustness study on radiomic features in [18F]-FDG PET/CT and [18F]-FDG PET/MR
    Vuong, D.
    Bogowicz, M.
    Huellner, M.
    Veit-Haibach, P.
    Andratschke, N.
    Unkelbach, J.
    Guckenberger, M.
    Tanadini-Lang, S.
    RADIOTHERAPY AND ONCOLOGY, 2018, 127 : S1159 - S1159
  • [9] A systemic analysis of [18F]FDG PET/CT data for early detection of cachexia in lung cancer patients
    Ferrara, D.
    Frille, A.
    Abenavoli, E.
    Beyer, T.
    Duke, S.
    Gruenert, S.
    Hacker, M.
    Hesse, S.
    Hofmann, L.
    Holm, S.
    Rullmann, M.
    Sciagra, R.
    Sundar, L. Shiyam
    Toenjes, A.
    Wirtz, H.
    Yu, J.
    Sabri, O.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 50 (SUPPL 1) : S272 - S272
  • [10] 18F]-FDG PET/CT IN LARGE VESSEL VASCULITIS: SEMI-QUANTITATIVE [18F]-FDG PET/CT ANALYSIS AND CORRELATION WITH DISEASE ACTIVITY
    Fraticelli, P.
    Ghirelli, G.
    Pasquinelli, M.
    Maurizi, V.
    Pettinari, P.
    Cottignoli, C.
    Fringuelli, F. M.
    Romagnolo, C.
    Schicchi, N.
    Burroni, L.
    Moroncini, G.
    ANNALS OF THE RHEUMATIC DISEASES, 2023, 82 : 1578 - 1579