Copyright
©The Author(s) 2025.
World J Gastroenterol. Jun 14, 2025; 31(22): 106937
Published online Jun 14, 2025. doi: 10.3748/wjg.v31.i22.106937
Published online Jun 14, 2025. doi: 10.3748/wjg.v31.i22.106937
Table 1 Patient characteristics
Feature | Count | Missing (%) | Mean | SD |
Age | 74 | 2.63 | 55.34 | 13.20 |
Height | 75 | 1.32 | 1.68 | 0.09 |
Weight | 75 | 1.32 | 80.81 | 14.30 |
Mean size | 74 | 2.63 | 138.16 | 19.76 |
50-150 nm | 74 | 2.63 | 8.27 × 1010 | 4.37 × 1010 |
> 150 nm | 74 | 2.63 | 5.84 × 1010 | 4.85 × 1010 |
Sum (50-1000 nm) | 74 | 2.63 | 1.41 × 1011 | 7.04 × 1010 |
- Citation: Trifylli EM, Angelakis A, Kriebardis AG, Papadopoulos N, Fortis SP, Pantazatou V, Koskinas J, Kranidioti H, Koustas E, Sarantis P, Manolakopoulos S, Deutsch M. Extracellular vesicles as biomarkers for metabolic dysfunction-associated steatotic liver disease staging using explainable artificial intelligence. World J Gastroenterol 2025; 31(22): 106937
- URL: https://www.wjgnet.com/1007-9327/full/v31/i22/106937.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i22.106937