From: Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models
Radiological Characteristics | SCA (n = 99) | Non-SCA (n = 94) | p |
---|---|---|---|
Position | 0.014 | ||
 Head and Neck | 45 (45%) | 28 (30%) |  |
 Body and Tail | 54 (55%) | 66 (70%) |  |
Solitary/multiple cysts | 0.001 | ||
 Solitary | 5 (5%) | 22 (23%) |  |
 Multiple | 94 (95%) | 72 (77%) |  |
Maximum diameter (cm) | 4.0 ± 2.2 | 4.1 ± 2.4 | 0.871 |
Lobulation | 0.001 | ||
 With | 69 (70%) | 44 (47%) |  |
 Without | 30 (30%) | 50 (53%) |  |
Polycystic features (≥2) | 0.712 | ||
 With | 77 (78%) | 71 (76%) |  |
 Without | 22 (22%) | 23 (24%) |  |
Polycystic features (≥6) | 0.006 | ||
 With | 51 (52%) | 30 (32%) |  |
 Without | 48 (48%) | 64 (68%) |  |
Nodular soft tissue | 0.261 | ||
 With | 16 (16%) | 10 (11%) |  |
 Without | 83 (84%) | 84 (89%) |  |
Cystic wall calcification | < 0.001 | ||
 With | 33 (33%) | 10 (11%) |  |
 Without | 66 (67%) | 84 (89%) |  |
Pancreatic duct dilatation | 0.001 | ||
 With | 5 (5%) | 21 (22%) |  |
 Without | 94 (95%) | 73 (78%) |  |
Communication with the pancreatic duct | 0.031 | ||
 With | 25 (25%) | 14 (15%) |  |
 Without | 69 (75%) | 85 (85%) |  |
Peripancreatic lymph node enlargement | 0.609 | ||
 With | 2 (2%) | 3 (3%) |  |
 Without | 97 (98%) | 91 (97%) |  |