Application of novel machine learning to predict immunotherapy related toxicities for metastatic melanoma patients from baseline 18F-FDG PET/CT scans

被引:0
|
作者
Francis, R. J. [1 ]
Dell'Oro, M. [1 ]
Gray, E. S. [2 ]
Huff, D. [3 ]
Perk, T. G. [3 ]
Munian-Govindan, R. [3 ]
Ebert, M. A. [4 ]
Millward, M. [5 ]
机构
[1] Univ Western Australia, Sch Med, Australian Ctr Quantitat Imaging, Perth, WA, Australia
[2] Edith Cowan Univ, Sch Med & Hlth Sci, Perth, WA, Australia
[3] AIQ Solut, Sci, Madison, WI USA
[4] Sir Charles Gairdner Hosp, Dept Radiat Oncol, Nedlands, WA, Australia
[5] Univ Western Australia, Sch Med, Perth, WA, Australia
关键词
D O I
10.1016/j.annonc.2023.09.2289
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
1155P
引用
收藏
页码:S689 / S690
页数:2
相关论文
共 50 条
  • [1] Correlation of thyroid FDG uptake on 18F-FDG PET/CT with response to immunotherapy in metastatic melanoma patients
    Zevnik, K.
    Hribernik, N.
    Strasek, K.
    Studen, A.
    Doma, A.
    Skalic, K.
    Rebersek, M.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 50 (SUPPL 1) : S195 - S196
  • [2] Application of deep learning and machine learning methods to predict NSCLC patients' survival from baseline 18F-FDG PET images
    Le, Thi Khuyen
    David, Chardin
    Contu, Sara
    Hugonnet, Florent
    Bauckneht, Matteo
    Otto, Josiane
    Girum, Kibrom
    Orlhac, Fanny
    Humbert, Olivier
    JOURNAL OF NUCLEAR MEDICINE, 2023, 64
  • [3] 18F-FDG PET/CT for the detection of immune-related adverse events in patients with metastatic melanoma receiving immunotherapy
    Murad, Vanessa
    Metser, Ur
    Kohan, Andres
    Veit-Haibach, Patrick
    Ortega, Claudia
    JOURNAL OF NUCLEAR MEDICINE, 2024, 65
  • [4] Can benign lymphoid tissue changes in 18F-FDG PET/CT predict response to immunotherapy in metastatic melanoma?
    Christos Sachpekidis
    Lionel Larribère
    Annette Kopp-Schneider
    Jessica C. Hassel
    Antonia Dimitrakopoulou-Strauss
    Cancer Immunology, Immunotherapy, 2019, 68 : 297 - 303
  • [5] Can benign lymphoid tissue changes in 18F-FDG PET/CT predict response to immunotherapy in metastatic melanoma?
    Sachpekidis, Christos
    Larribere, Lionel
    Kopp-Schneider, Annette
    Hassel, Jessica C.
    Dimitrakopoulou-Strauss, Antonia
    CANCER IMMUNOLOGY IMMUNOTHERAPY, 2019, 68 (02) : 297 - 303
  • [6] Prognostic Value of Baseline 18F-FDG PET/CT to Predict Brain Metastasis Development in Melanoma Patients
    Kalantari, Forough
    Mirshahvalad, Seyed Ali
    Hoellwerth, Magdalena
    Schweighofer-Zwink, Gregor
    Huber-Schoenauer, Ursula
    Hitzl, Wolfgang
    Rendl, Gundula
    Koelblinger, Peter
    Pirich, Christian
    Beheshti, Mohsen
    CANCERS, 2024, 16 (01)
  • [7] 18F-FDG PET/CT for Monitoring of Ipilimumab Therapy in Patients with Metastatic Melanoma
    Ito, Kimiteru
    Teng, Rebecca
    Schoder, Heiko
    Humm, John L.
    Ni, Ai
    Michaud, Laure
    Nakajima, Reiko
    Yamashita, Rikiya
    Wolchok, Jedd D.
    Weber, Wolfgang A.
    JOURNAL OF NUCLEAR MEDICINE, 2019, 60 (03) : 335 - 341
  • [8] Predictive value of early 18F-FDG PET/CT imaging for immunotherapy response assessment in metastatic melanoma patients
    Mena, Esther
    Taghipour, Mehdi
    Sheikhbahaei, Sara
    Subramaniam, Rathan
    JOURNAL OF NUCLEAR MEDICINE, 2016, 57
  • [9] Benign lymphoid tissue changes as response to immunotherapy in metastatic melanoma patients: an 18F-FDG PET/CT study
    Sachpekidis, C.
    Larribere, L.
    Kopp-Schneider, A.
    Haberkorn, U.
    Hassel, J.
    Dimitrakopoulou-Strauss, A.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2018, 45 : S517 - S517
  • [10] Correlation of ctDNA and radiographic imaging features derived from 18F-FDG PET/CT for patients with metastatic melanoma treated with immunotherapy
    Dell'Oro, Mikaela R.
    Lokre, Ojaswita
    Gray, Elin S.
    Francis, Roslyn J.
    Perk, Timothy G.
    Ebert, Martin A.
    Millward, Michael
    JOURNAL OF CLINICAL ONCOLOGY, 2024, 42 (16)