Table 5.
Benchmarking between different radiogenomics reviews.
| Discussion of Fundamentals of Various AI Components | Radiogenomics Components | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Citation | Year | Anatomical Cancers Discussed | PM | CV | ML/DL | Conv. Radiomics | Deep Radiomics |
Essential Genotypes | Dataset |
| Singh et al. [168] | 2021 | Brain | ✗ | ✗ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Razek et al. [113] | 2021 | Brain | ✗ | ✗ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Liu et al. [169] | 2021 | Gastrointestinal, Lung, Liver, Ovarian, Renal, Head and Neck, | ✗ | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
| Singh et al. [170] | 2021 | Brain, Breast, Lung | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Wong et al. [171] | 2020 | Lung | ✗ | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
| Trivizakis et al. [172] | 2020 | Breast, Pancreatic, Oral, Bladder, Head and neck, Rhabdomyosarcoma, | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ |
| Nougaret et al. [173] | 2020 | Ovarian | ✗ | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ |
| Gullo et al. [174] | 2020 | Breast, Brain, Lung, Gynecological, Liver, Kidney, and Prostate | ✗ | ✗ | ✗ | ✓ | ✗ | ✓ | ✓ |
| Bodalal et al. [4] | 2019 | Brain, Lung, Breast, Ovaries, Liver, Kidney, Colorectal, Prostate | ✗ | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
| Pinker et al. [99] | 2018 | Breast | ✗ | ✗ | ✓ | ✓ | ✗ | ✓ | ✗ |
| Proposed Review | Brain, Breast, Lung, Liver, Colorectal, Gastric, Prostrate, Ovarian | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
PM—performance metrics; CV—cross-validation; ML—machine learning; DL—deep learning; Conv.—conventional.