From: Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models
Radiological Characteristics | MCA (n = 55) | IPMN (n = 39) | p |
---|---|---|---|
Position | 0.045 | ||
 Head and Neck | 5 (9%) | 23 (59%) |  |
 Body and Tail | 50 (91%) | 16 (41%) |  |
Solitary/multiple cysts | < 0.001 | ||
 Solitary | 4 (7%) | 18 (46%) |  |
 Multiple | 51 (93%) | 21 (52%) |  |
Maximum diameter (cm) | 4.7 ± 2.7 | 3.2 ± 1.6 | 0.002 |
Lobulation | < 0.001 | ||
 With | 11 (20%) | 33 (85%) |  |
 Without | 44 (80%) | 6 (15%) |  |
Polycystic features (≥2) | 0.014 | ||
 With | 36 (65%) | 35 (90%) |  |
 Without | 19 (35%) | 4 (10%) |  |
Polycystic features (≥6) | 0.001 | ||
 With | 10 (18%) | 20 (51%) |  |
 Without | 45 (82%) | 19 (49%) |  |
Nodular soft tissue | 1.000 | ||
 With | 6 (11%) | 4 (10%) |  |
 Without | 49 (89%) | 35 (90%) |  |
Cystic wall calcification | 0.263 | ||
 With | 8 (15%) | 2 (5%) |  |
 Without | 47 (85%) | 37 (95%) |  |
Pancreatic duct dilatation | < 0.001 | ||
 With | 2 (4%) | 19 (49%) |  |
 Without | 53 (96%) | 20 (51%) |  |
Communication with the pancreatic duct | < 0.001 | ||
 With | 3 (5%) | 22 (56%) |  |
 Without | 52 (95%) | 17 (44%) |  |
Peripancreatic lymph node enlargement | 0.568 | ||
 With | 1 (2%) | 2 (5%) |  |
 Without | 54 (98%) | 37 (95%) |  |