Application of artificial intelligence-driven three-dimensional imaging in preoperative planning for rectosigmoid colon cancer

Table 1 General patient information

Clinical factors	n (%)
Gender
Male	23 (59)
Female	16 (41)
Total	39
Age, median (range)	62 years (40-71 years)
Rectum	30 (76.9)
Sigmoid colon	9 (23.1)
Differentiation
High	0 (0)
Medium	29 (74.4)
Low-medium	10 (25.6)
Low	0 (0)
T1	3 (7.7)
T2	4 (10.2)
T3	29 (74.4)
T4	3 (7.7)
N0	23 (59)
N1	13 (33.3)
N2	3 (7.7)
N3	0 (0)
Tumor budding
High	13 (33.3)
Medium	8 (20.5)
Low	18 (46.2)
Vascular thrombus
Yes	16 (41)
No	23 (59)
Neural invasion
Yes	20 (51.3)
No	19 (48.7)
Intraoperative stoma
Yes	14 (35.9)
No	25 (64.1)
Preserve the anus
Yes	38 (97.4)
No	1 (2.6)
Postoperative adjuvant therapy
Yes	22 (56.4)
No	17 (43.6)