Assessment of Reproducibility Of FDG-PET-Based Radiomics Features Across Scanners Using Phantom Imaging

被引:2
|
作者
Fried, D.
Meier, J.
Mawlawi, O.
Zhou, S.
Ibbott, G.
Liao, Z.
Court, L.
机构
关键词
D O I
10.1118/1.4957256
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
MODE207B07
引用
收藏
页码:3705 / 3706
页数:2
相关论文
共 50 条
  • [31] Quantitative assessment of tumor metabolism using FDG-PET imaging
    Weber, WA
    Schwaiger, M
    Avril, N
    NUCLEAR MEDICINE AND BIOLOGY, 2000, 27 (07) : 683 - 687
  • [32] Reproducibility of semi-quantitative parameters in FDG-PET using two different PET scanners: Influence of attenuation correction method and examination interval
    Kamibayashi, Tomohito
    Tsuchida, Tatsuro
    Demura, Yoshiki
    Tsujikawa, Tetsuya
    Okazawa, Hidehiko
    Kudoh, Takashi
    Kimura, Hirohiko
    MOLECULAR IMAGING AND BIOLOGY, 2008, 10 (03) : 162 - 166
  • [33] Harmonization based on quantitative analysis of standardized uptake value variations across PET/CT scanners: a multicenter phantom study
    Monsef, Abbas
    Ay, Mohammad Reza
    Sheikhzadeh, Peyman
    Geramifar, Parham
    Rahmim, Arman
    Ghafarian, Pardis
    NUCLEAR MEDICINE COMMUNICATIONS, 2022, 43 (09) : 1004 - 1014
  • [34] Reproducibility of Longitudinal CBCT Radiomics Features With Same Imaging Protocol for Limited Tumor Motion Patients Across Software Packages
    Wang, H.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2020, 108 (03): : E329 - E329
  • [35] Best in Physics (Joint Imaging-Therapy): Using FDG PET and CT Radiomics Features to Predict FMISO Uptake in Head and Neck Cancer
    Ortuzar, M. Crispin
    Apte, A.
    Grkovski, M.
    Oh, J. H.
    Lee, N. Y.
    Humm, J. L.
    Deasy, J. O.
    MEDICAL PHYSICS, 2017, 44 (06) : 3259 - 3259
  • [36] A Tumor Volume Segmentation Algorithm Based on Radiomics Features in FDG-PET in Lung Cancer Patients, Validated Using Surgical Specimens
    Bundschuh, Lena
    Buermann, Jens
    Toma, Marieta
    Schmidt, Joachim
    Kristiansen, Glen
    Essler, Markus
    Bundschuh, Ralph Alexander
    Prokic, Vesna
    DIAGNOSTICS, 2024, 14 (23)
  • [37] Prediction of Malignant Thyroid Nodules Using 18F-FDG PET/CT-Based Radiomics Features in Thyroid Incidentalomas
    Ko, Woo Seog
    Kim, Seong-Jang
    CLINICAL NUCLEAR MEDICINE, 2023, 48 (06) : 497 - 504
  • [38] Reproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [18F]-FDG PET/CT
    Daphné Faist
    Mario Jreige
    Valentin Oreiller
    Marie Nicod Lalonde
    Niklaus Schaefer
    Adrien Depeursinge
    John O. Prior
    European Journal of Hybrid Imaging, 6
  • [39] Reproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [18F]-FDG PET/CT
    Faist, Daphne
    Jreige, Mario
    Oreiller, Valentin
    Lalonde, Marie Nicod
    Schaefer, Niklaus
    Depeursinge, Adrien
    Prior, John O.
    EUROPEAN JOURNAL OF HYBRID IMAGING, 2022, 6 (01):
  • [40] A contrast-oriented algorithm for FDG-PET-based delineation of tumour volumes for the radiotherapy of lung cancer: derivation from phantom measurements and validation in patient data
    Schaefer, Andrea
    Kremp, Stephanie
    Hellwig, Dirk
    Ruebe, Christian
    Kirsch, Carl-Martin
    Nestle, Ursula
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2008, 35 (11) : 1989 - 1999