Radiomics to predict response to immunotherapy: an imminent reality?

被引：4
作者：
Limkin, Elaine Johanna [1 ]
Sun, Roger [1 ]
机构：
[1] Univ Paris Saclay, Gustave Roussy, Dept Radiotherapy, F-94805 Villejuif, France
来源：
FUTURE ONCOLOGY | 2020年 / 16卷 / 23期
关键词：
immunotherapy; quantitative medical imaging; radiomics;
D O I：
10.2217/fon-2020-0015
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
[No abstract available]
引用
收藏
页码：1673 / 1676
页数：4
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  • [1] Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
    Aerts, Hugo J. W. L.
    Velazquez, Emmanuel Rios
    Leijenaar, Ralph T. H.
    Parmar, Chintan
    Grossmann, Patrick
    Cavalho, Sara
    Bussink, Johan
    Monshouwer, Rene
    Haibe-Kains, Benjamin
    Rietveld, Derek
    Hoebers, Frank
    Rietbergen, Michelle M.
    Leemans, C. Rene
    Dekker, Andre
    Quackenbush, John
    Gillies, Robert J.
    Lambin, Philippe
    [J]. NATURE COMMUNICATIONS, 2014, 5
  • [2] Predictive Role of Computed Tomography Texture Analysis in Patients with Metastatic Urothelial Cancer Treated with Programmed Death-1 and Programmed Death-ligand 1 Inhibitors
    Alessandrino, Francesco
    Gujrathi, Rahul
    Nassar, Amin H.
    Alzaghal, Arwa
    Ravi, Arvind
    McGregor, Bradley
    Sonpavde, Guru
    Shinagare, Atul B.
    [J]. EUROPEAN UROLOGY ONCOLOGY, 2020, 3 (05): : 680 - 686
  • [3] MRI radiomic features are associated with survival in melanoma brain metastases treated with immune checkpoint inhibitors
    Bhatia, Ankush
    Birger, Maxwell
    Veeraraghavan, Harini
    Um, Hyemin
    Tixier, Florent
    McKenney, Anna Sophia
    Cugliari, Marina
    Caviasco, Annalise
    Bialczak, Angelica
    Malani, Rachna
    Flynn, Jessica
    Zhang, Zhigang
    Yang, T. Jonathan
    Santomasso, Bianca D.
    Shoushtari, Alexander N.
    Young, Robert J.
    [J]. NEURO-ONCOLOGY, 2019, 21 (12) : 1578 - 1586
  • [4] Radiomics to predict immunotherapy-induced pneumonitis: proof of concept
    Colen, Rivka R.
    Fujii, Takeo
    Bilen, Mehmet Asim
    Kotrotsou, Aikaterini
    Abrol, Srishti
    Hess, Kenneth R.
    Hajjar, Joud
    Suarez-Almazor, Maria E.
    Alshawa, Anas
    Hong, David S.
    Giniebra-Camejo, Dunia
    Stephen, Bettzy
    Subbiah, Vivek
    Sheshadri, Ajay
    Mendoza, Tito
    Fu, Siqing
    Sharma, Padmanee
    Meric-Bernstam, Funda
    Naing, Aung
    [J]. INVESTIGATIONAL NEW DRUGS, 2018, 36 (04) : 601 - 607
  • [5] Machine Learning in Medical Imaging
    Giger, Maryellen L.
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2018, 15 (03) : 512 - 520
  • [6] Radiomics: Images Are More than Pictures, They Are Data
    Gillies, Robert J.
    Kinahan, Paul E.
    Hricak, Hedvig
    [J]. RADIOLOGY, 2016, 278 (02) : 563 - 577
  • [7] PD-L1 biomarker testing for non-small cell lung cancer: truth or fiction?
    Grigg, Claud
    Rizvi, Naiyer A.
    [J]. JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2016, 4
  • [8] Defining the biological basis of radiomic phenotypes in lung cancer
    Grossmann, Patrick
    Stringfield, Olya
    El-Hachem, Nehme
    Bui, Marilyn M.
    Velazquez, Emmanuel Rios
    Parmar, Chintan
    Leijenaar, Ralph T. H.
    Haibe-Kains, Benjamin
    Lambin, Philippe
    Gilles, Robert J.
    Aerts, Hugo J. W. L.
    [J]. ELIFE, 2017, 6
  • [9] A Validated Radiomics T-cell Score Predicts Response to Multi-site SBRT Combined with Pembrolizumab
    Korpics, M. C.
    Bhave, S. R.
    Redler, G.
    Pitroda, S.
    Luke, J. J.
    Chmura, S. J.
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2019, 105 (01): : S74 - S74
  • [10] Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology
    Limkin, E. J.
    Sun, R.
    Dercle, L.
    Zacharaki, E. I.
    Robert, C.
    Reuze, S.
    Schernberg, A.
    Paragios, N.
    Deutsch, E.
    Ferte, C.
    [J]. ANNALS OF ONCOLOGY, 2017, 28 (06) : 1191 - 1206
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