Comprehensive multimodal management of borderline resectable pancreatic cancer: Current status and progress

Table 2 Radiomics for treatment response in pancreatic cancer

Ref.	N	Imaging modality	Segmentation method	Feature extraction software	Extracted features	Statistically significant features	Extracted features type	% RQS (points)
Yue et al[156]	25	PET	Semi-automated	3D kernel-based approach	12	3	Second-order texture features	25% (9)
Chen et al[157]	20	CT	Manual	In-house developed software	8	4	First-order texture features	14% (5)
Ciaravino et al[67]	17	CECT	Manual	MaZda	5	1	First-order texture features	17% (6)
Kaissis et al[158]	55	MRI	Manual	Pyradiomics	1606	13	Shape features; First-order texture features; Second-order texture features; Filtered image features	36% (13)
Nasief et al[70]	90	CT	Manual	IBEX	1300	13	Shape features; First-order texture features; Second-order texture features; Customised features1	33% (12)
Borhani et al[68]	39	CECT	Manual	TexRAD	6	4	First-order texture features; Filtered image features	6% (2)

¹Normalized entry to standard deviation features.

N: Sample size; Extracted features: Number of extracted features; Statistically significant features: Number of statistically significant features; CT: Computed tomography; CECT: Contrast-enhanced computed tomography; PET: Positron emission tomography; IBEX: Imaging biomarker explorer; RQS: Radiomics quality score; 3D: Three-dimensional; TexRAD: Texture radiology software; IBEX: Imaging biomarker explorer; NR: Not report.