Table 3 Literature review for oncologic imaging or phantom studies with magnetic resonance imaging
From: Radiomics in medical imaging—“how-to” guide and critical reflection
Ref. | Study (first author) | Year | Factor | Site/Organ | |
|---|---|---|---|---|---|
Test-retest | [102] | Bianchini et al. | 2020 | Phantom | |
[9] | Baessler et al. | 2019 | Phantom | ||
[103] | Fiset et al. | 2019 | Cervical cancer | ||
[35] | Mahon et al. | 2019 | NSCLC | ||
[104] | Peerlings et al. | 2019 | Ovarian cancer, lung cancer, colorectal liver metastasis | ||
[105] | Schwier et al. | 2019 | Prostate | ||
Acquisition | [9] | Baessler et al. | 2019 | Matrix size | Phantom |
[106] | Bologna et al. | 2019 | TR, TE, INU, noise level | Phantom | |
[107] | Cattell et al. | 2019 | Noise level | Phantom | |
[103] | Fiset et al. | 2019 | Scanner | Cervical cancer | |
[108] | Um et al. | 2019 | Scanner, field strength | Glioblastoma | |
[109] | Yang et al. | 2018 | Noise level, accelerator factor | Phantom, glioma | |
Reconstruction | [9] | Baessler et al. | 2019 | Matrix size | Phantom |
[106] | Bologna et al. | 2019 | Voxel size | Phantom | |
[107] | Cattell et al. | 2019 | Voxel size | Phantom | |
[109] | Yang et al. | 2018 | Algorithm | Phantom, glioma | |
Segmentation | [110] | Traverso et al. | 2020 | Cervical cancer | |
[9] | Baessler et al. | 2019 | Phantom | ||
[107] | Cattell et al. | 2019 | Phantom | ||
[111] | Duron et al. | 2019 | Lacrymal gland tumors, breast lesions | ||
[103] | Fiset et al. | 2019 | Cervical cancer | ||
[112] | Tixier et al. | 2019 | Glioblastoma | ||
[113] | Zhang et al. | 2019 | Nasopharyngeal carcinoma, sentinel lymph node | ||
[114] | Saha et al. | 2018 | Breast cancer | ||
[115] | Veeraraghavan et al. | 2018 | Breast cancer | ||
Image processing | [116] | Isaksson et al. | 2020 | Normalization | Prostate cancer |
[117] | Scalco et al. | 2020 | Normalization | Prostate cancer | |
[110] | Traverso et al. | 2020 | Normalization, discretization, filtering | Cervical cancer | |
[106] | Bologna et al. | 2019 | Normalization, resampling, filtering | Phantom | |
[111] | Duron et al. | 2019 | Discretization | Lacrymal gland tumors, breast lesions | |
[118] | Moradmand et al. | 2019 | Bias field correction, filtering | Glioblastoma | |
[119] | Um et al. | 2019 | Bias field correction, normalization, discretization, filtering | Glioblastoma |