Table 3.

Characteristics of studies that have evaluated radiomics in predicting survival and presence of synchronous metastases in colorectal cancer. All studies were single-center studies.

Author	n	Aim	IM	Segmentation	Reauers (n)	FE	M	Main results	V
Van Helde et al. 2018	99	Predict response and survival in patients with mCRC	18F-FDG PET/CT	Semiautomatic VOI All tu lesions Pre-treatment	1	Morf FO TF	N	Some radiomics features correlates with survival	N
Liu et al. 2018	177	Predict synchronous metastases in patients with rectal cancer	MRI (3T)	Manual VOI (T2WI) Rectal tu Pre-treatment	2	Morf FO TF SO TF	Y	ICC> 0.80 AUC clinical (T): 0.79 AUC clinical (V): 0.77 AUC clinical-radiomics (T): 0.85 AUC clinical-radiomics (V): 0.83	I
Meng et al. 2018	108	Predict DFS	MRI (3T)	Manual VOI (DCE) Rectal tu Pre-treatment	2 consensus	Morf FO TF SO TF SupO	Y	ICC>0.80 C-index radiomics (T): 0.83 C-index clinical (T): 0.66 C-index both (T): 0.80 C-index radiomics (V): 0.77 C-index clinical (V): 0.64 C-index both (V): 0.79	I
Lovinfosse et al. 2017	86	Predict survival in patients with LARC	18F-FDG PET/CT	Semiautomatic VOI Rectal tu Pre-treatment	1	FO TF SO TF SupO	N	Coarseness was associated with DFS and DSS	N
Jalil et al. 2016	56	Predict long term survival in patients treated with CRT	MRI (15T)	Manual ROI (T2WI) Rectal tu Pre- and post-CRT	1	FO TF	N	Several texture features were associated with long term survival, particularly mean of positive pixels pre-CRT and kurtosis post-CRT	N

ADC: apparent diffusion coefficients; DCE: dynamic contrast-enhanced; DFS: disease-free survival; DSS: disease-specific survival; FE: feature extraction; FO: first order; I: internal; ICC: intraclass correlation; IM: imaging modality; LARC: locally-advanced rectal cancer; M: model; Morf: morphological; N: no; ROI: region of interest; SO: second order; SupO: superior order; T: training; TF: texture features; Tu: tumors; V: validation; VOI: volume of interest; WI: weighted images; Y: yes; ¹⁸F-FDG PET: ¹⁸fluorodeoxyglucose positron emission tomography