Magnetic resonance imaging-based deep learning model to predict multiple firings in double-stapled colorectal anastomosis

Table 3 Comparison between the training set and the testing set

	Testing set	Training set	P value
	n = 68	n = 260
Sex, n (%)			0.543
Male	45 (66.2)	182 (70.0)
Female	23 (33.8)	78 (30.0)
Age (yr), median (quartile)	63 (57-71)	63 (55-68)	0.322
BMI (Kg/m2), median (quartile)	23.7 (22.0-25.0)	22.9 (21.3-25.1)	0.248
Diabetes mellitus, n (%)			0.303
Yes	6 (8.8)	35 (13.5)
No	62 (91.2)	225 (86.5)
Albumin (g/L), median (quartile)	39 (36-41)	40 (37-42)	0.111
CEA (ng/mL), n (%)		(Missing=5)	0.863
> 5	21 (30.9)	76 (29.8)
≤ 5	47 (69.1)	179 (70.2)
nCRT, n (%)			0.081
Yes	12 (17.6)	73 (28.1)
No	56 (82.4)	187 (71.9)
Distance from anus (cm), median (quartile)	7.1 (5.8-8.7)	7.0 (5.6-8.7)	0.828
CRM evaluated by MRI, n (%)			0.051
Positive	9 (13.2)	63 (24.2)
Negative	59 (86.8)	197 (75.8)
Tumor size (cm), n (%)			0.340
≥ 5	6 (8.8)	34 (13.1)
< 5	62 (91.2)	226 (86.9)
Number of linear stapler cartridges, n (%)			0.470
≥ 3	10 (14.7)	48 (18.5)
≤ 2	58 (85.3)	212 (81.5)
Length of cartridges used, n (%)			0.603
Only 60 mm	62 (91.2)	242 (93.1)
45 mm ± 60 mm	6 (8.8)	18 (6.9)
Anastomotic leakage, n (%)			0.686
Yes	11 (16.2)	37 (14.2)
No	57 (83.8)	223 (85.8)

BMI: Body mass index; CEA: Carcinoma embryonic antigen; nCRT: Neoadjuvant chemoradiotherapy; CRM: Circumferential resection margin; MRI: Magnetic resonance imaging.