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. 2023 Jul 6;129(5):741–753. doi: 10.1038/s41416-023-02317-8

Table 2.

Description of pan-cancer radiogenomic studies focused on clinical applications.

Cancer type Study objective/genomic feature Radiomic feature Imaging modality Machine-learning algorithm Patients Study type Author
Breast cancer
Oncotype Dx RS Handcraft MRI None 43 Retrospective study Thakur et al. [120]
Oncotype Dx RS Deep Mammographic and MR Linear regression models 556 Retrospective study Woodard et al. [98]
Oncotype Dx RS Handcraft MRI Convolutional neural network (CNN) algorithm 134 Retrospective study Ha et al. [121]
Oncotype Dx RS Deep learning MRI None 382 Retrospective study Li et al. [122]
Predicting molecular subtypes Deep MRI Convolutional neural network (CNN) algorithm 213 Retrospective study Ha et al. [123]
Molecular subtypes Deep MRI None 132 Prospective study Iima et al. [124]
Molecular subtypes Handcraft MRI Linear regression 306 Prospective study Tsai et al. [125]
Molecular subtypes Deep MRI Convolutional neural network (CNN) algorithm 244 Retrospective study Zhang et al. [126]
Clear cell renal cell carcinoma
Molecular subtypes Handcraft PET and MRI multivariate logistic regression analysis 77 Retrospective study Wang et al. [127]
Molecular subtypes Handcraft Enhanced CT Multivariate logistic regression analysis 131 Retrospective study Gao et al. [128]
Medulloblastoma
Molecular subtypes Handcraft MRI Multivariate logistic regression analysis 111 A combined retrospective and prospective study Dasgupta et al. [129]
Gliomas
Molecular subtypes Handcraft MRI Cross-validation model 110 Retrospective study Buda et al. [130]
Molecular subtypes Handcraft 18F-Fluorocholine PET/CT ML was not used to build the predictive model 35 Prospective study Garcia et al. [131]
Molecular subtypes Handcraft MRI Multivariate logistic regression analysis 272 Retrospective study Nam et al. [132]
Molecular subtypes Handcraft CT/MRI Logistic regression analysis 189 Retrospective study Zhao et al. [133]
molecular subtypes Deep MRI Convolutional neural network (CNN) algorithm 1016 Retrospective study Li et al. [134]
Hepatocellular carcinoma
Identifying microvascular invasion (MVI) CT Multivariate logistic regression analysis 495 Retrospective study Dasgupta et al. [135]
Identifying microvascular invasion (MVI) Handcraft CT LASSO logistic regression and logistic regression analysis 145 Retrospective study He et al. [136]
Identifying microvascular invasion (MVI) Handcraft CT Logistic regression analysis 185 Retrospective study Liu et al. 2021 [137]