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. Author manuscript; available in PMC: 2022 Apr 1.
Published in final edited form as: Methods. 2020 Jul 4;188:105–111. doi: 10.1016/j.ymeth.2020.06.020

TABLE 2.

[18F]FDG-PET radiomics studies focusing on clinical outcome prognostication

Purpose Imaging Patients Training/Test Segmentation Features
Parvez et al. Aggressive NHL: treatment response, OS, DFS [18F]FDG-PET 66 No Semi-automatic Shape, Histogram, GLCM, GLRLM, GLSZM, NGTDM
Milgrom et al. Hodgkin: Refractory disease [18F]FDG-PET 251 Yes (internal) Semi-automatic Shape, Histogram, GLCM
Lue et al. Hodgkin: OS, PFS [18F]FDG-PET 42 No Semi-automatic Histogram, GLCM, GLRLM, GLSZM, NGTDM, NGLDM, Wavelet
Mayerhoefer et al. MCL: PFS [18F]FDG-PET 107 Yes (internal) Semi-automatic Histogram, GLCM
Aide et al. DLBCL: PFS, OS [18F]FDG-PET 82 No Semi-automatic Histogram, GLCM, GLSZM
Aide et al. DLBCL: EFS [18F]FDG-PET 132 Yes (internal) Semi-automatic Histogram, GLCM, GLSZM
Wand et al Natural killer-/T-cell lymphoma: PFS, OS [18F]FDG-PET 110 Yes (internal) Semi-automatic Shape, Histogram, GLCM, GLRLM, GLSZM, NGLDM

NHL, Non-Hodgkin lymphoma; OS, overall survival; DFS, disease-free survival; PFS, progression-free survival; GLCM, gray-level co-occurrence matrix; GLRLM, gray-level run-length matrix; GLSZM, gray-level size-zone matrix; NGTDM, neighborhood gray-tone difference matrix; NGLDM, neighborhood gray-level dependence matrix