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Table 1 Literature review for oncologic imaging or phantom studies with computed tomography

From: Radiomics in medical imaging—“how-to” guide and critical reflection

  Ref. Study (first author) Year Factor Site/Organ
Test-retest [34] Du et al. 2019   NSCLC
[35] Mahon et al. 2019   NSCLC
[36] Tanaka et al. 2019   Lung cancer
[37] Tunali et al. 2019   NSCLC
[38] Zwanenburg et al. 2019   NSCLC, HNSCC
[39] Berenguer et al. 2018   Phantom
[40] Desseroit et al. 2017   NSCLC
[41] Larue et al. 2017   Phantom
[42] Larue et al. 2017   NSCLC, esophageal cancer
[43] Hu et al. 2016   Rectal cancer
[32] van Timmeren et al. 2016   NSCLC, rectal cancer
[44] Aerts et al. 2014   NSCLC
[45] Balagurunathan et al. 2014   NSCLC
[46] Balagurunathan et al. 2014   NSCLC
[47] Fried et al. 2014   NSCLC
[48] Hunter et al. 2013   NSCLC
Acquisition [49] Hepp et al. 2020 Dose NSCLC
[50] Piazzese et al. 2019 Contrast Oesophageal cancer
[51] Robins et al. 2019 Dose Simulated lesions
[36] Tanaka et al. 2019 Breathing Lung cancer
[39] Berenguer et al. 2018 Scanner, kVp, mAs, pitch, FOV, acq. mode Phantom
[52] Ger et al. 2018 Scanner Phantom
[53] Mackin et al. 2018 mAs Phantom
[54] Shafiq-ul-Hassan et al. 2018 Scanner Phantom
[55] Buch et al. 2017 kVp, mAs, pitch, acq. mode Phantom
[41] Larue et al. 2017 Scanner, mAs Phantom
[42] Larue et al. 2017 Breathing NSCLC, esophageal cancer
[56] Mackin et al. 2017 Scanner Phantom
[57] Shafiq-ul-Hassan et al. 2017 mAs, pitch Phantom
[58] Lo et al. 2016 mAs Phantom, lung nodules
[59] Solomon et al. 2016 Dose Liver, lung nodules, renal stones
[60] Fave et al. 2015 kVp, mAs, Breathing NSCLC
[61] Oliver et al. 2015 Breathing Lung cancer
[48] Hunter et al. 2013 Breathing NSCLC
Reconstruction [62] Choe et al. 2019 Kernel Pulmonary nodules
[50] Piazzese et al. 2019 2D/3D Oesophageal cancer
[63] Ligero et al. 2019 Kernel Different tumor sites
[51] Robins et al. 2019 Voxel size, kernel Simulated lesions
[64] Varghese et al. 2019 Voxel size, filtering Phantom
[39] Berenguer et al. 2018 Voxel size, kernel Phantom
[54] Shafiq-ul-Hassan et al. 2018 Voxel size Phantom
[55] Buch et al. 2017 Voxel size Phantom
[41] Larue et al. 2017 Voxel size Phantom
[56] Mackin et al. 2017 Voxel size Phantom
[57] Shafiq-ul-Hassan et al. 2017 Kernel Phantom
[65] Bogowicz et al. 2016 Voxel size, calculation factors* NSCLC, oropharyngeal carcinoma
[66] Kim et al. 2016 Algorithm Pulmonary tumors
[58] Lo et al. 2016 Kernel Phantom, lung nodules
[67] Lu et al. 2016 Algorithm, voxel size Lung cancer
[59] Solomon et al. 2016 Algorithm Liver, lung nodules, renal stones
[68] Zhao et al. 2016 Algorithm, voxel size Lung cancer
[60] Fave et al. 2015 2D/3D NSCLC
[69] Kim et al. 2015 Algorithm Phantom
[70] Zhao et al. 2014 Voxel size, kernel Phantom
Segmentation [62] Choe et al. 2019   Pulmonary nodules
[63] Ligero et al. 2019   Different tumor sites
[71] Qiu et al. 2019   Hepatocellular carcinoma
[37] Tunali et al. 2019   NSCLC
[72] Pavic et al. 2018   Mesothelioma, NSCLC, HN
[73] Kalpathy-Cramer et al. 2016   Lung nodules, phantom
[44] Aerts et al. 2014   NSCLC
[45] Balagurunathan et al. 2014   NSCLC
[74] Parmar et al. 2014   Lung cancer
Image processing [75] Lee et al. 2019 Discretization, resampling Lung cancer
[52] Ger et al. 2018 Discretization, HU threshold, filtering Phantom
[57] Shafiq-ul-Hassan et al. 2017 Resampling Phantom
[76] Bagher-Ebadian et al. 2017 Filtering Oropharyngeal cancer
[41] Larue et al. 2017 Discretization Phantom
[56] Mackin et al. 2017 Resampling, filtering Phantom
[65] Bogowicz et al. 2016 Discretization* NSCLC, Oropharyngeal carcinoma
[60] Fave et al. 2016 Resampling, filtering NSCLC
  1. *In this study, CT perfusion maps were in vestigated