Copyright: ©Author(s) 2026.
World J Radiol. Jul 28, 2026; 18(7): 118613
Published online Jul 28, 2026. doi: 10.4329/wjr.118613
Published online Jul 28, 2026. doi: 10.4329/wjr.118613
Table 6 Multivariate logistic regression in predicting all-cause mortality over 10 years
| Variable | Multivariate | |
| Estimate1 | P value | |
| Wall muscle density (HU) | -0.21702 | 0.004 |
| Psoas muscle density (HU) | 0.07638 | 0.222 |
| Psoas muscle area (cm2) | -0.15725 | 0.266 |
| Subcutaneous fat area (cm2) | -0.01374 | 0.038 |
| Age (years) | -0.00200 | 0.947 |
| Sex (male-female) | 1.07564 | 0.328 |
| Pancreatitis subtype (NP-AIOP) | -0.77738 | 0.455 |
| mGIS score (0-7) | 0.25253 | 0.458 |
- Citation: Shet S, O’Shea OC, De Kock LGA, Kakish E, Lee RJ, Ni Chleirigh N, O’Broin E, Ryan DJ, Maher MM. Computed tomography derived morphomics in the prediction of long-term outcomes in acute pancreatitis. World J Radiol 2026; 18(7): 118613
- URL: https://www.wjgnet.com/1949-8470/full/v18/i7/118613.htm
- DOI: https://dx.doi.org/10.4329/wjr.118613