Machine learning-based multiparametric MRI radiomics for predicting poor responders after neoadjuvant chemoradiotherapy in rectal Cancer patients

Table 1 Parameters of the MRI sequences

Scanner	Sequence	b value (s/mm2)	TR (ms)	TE (ms)	image resolution (mm)	Slice Thickness (mm)	Slice Gap (mm)
Signa 3.0-T	T2WI	–	4200	102	0.75× 0.75	3	1
	CE-T1WI	–	680	13	0.6× 0.6	4	0
	DWI	0,800	4000	68	2× 2	6	6
Signa HDX 3.0-T	T2WI	–	3900	90	0.6× 0.6	3	0.5
	CE-T1WI	–	573	20	0.55 × 0.55	3	0
	DWI	0,800	3800	80	1.5 × 1.5	5	5

T2WI T2-weighted imaging, CE-T1WI contrast-enhanced T1-weighted imaging, DWI diffusion-weighted imaging, TR relaxation time, TE echo time

ISSN: 1471-2407