Construction of a convolutional neural network classifier developed by computed tomography images for pancreatic cancer diagnosis

Table 2 Characteristics of study participants

Variables	With pancreatic cancer (n = 222)	Without cancer (n = 190)	Z value	P value
Age (yr)	63.8 (8.7)	61.0 (12.3)	3.391	0.66
Gender (male/female)	124/98	98/92	0.3852	0.54
Diagnosis method surgery/biopsy3	161/61	-	-	-
Tumor location; head and neck/tail and body	129/63	-	-	-
Tumor size4 [median (quartile 1, quartile 3)], cm	3.5 (2.7-4.3)	-	-	-
≤ 2	29	-	-	-
2-4	134	-	-	-
> 4	59	-	-	-

Data are expressed as the mean ± SD.

¹t value.

²χ² value.

³“Biopsy” includes patients who underwent biopsy only, patients who underwent biopsy before surgery were calculated in “Surgery”, and tumor size was evaluated in greatest dimension.

⁴Tumor size was mainly evaluated by the gross surgical specimen, for patient who only underwent biopsy, the tumor size was calculated by computed tomography image.